■ « ■ ■ ,4. ' t- ' "V I ■ I ■ ■ ■ ■ ■ I A V V* i v ■ ■ ■ I ■ I ' -r ' 1 1 ■ ■ ■ ■ ') *• ,\t. I (': .' *'•'•., s v ^ <£■> » ' ' v ^ ^l$K* „v % v« 8 °' ^ ,0* il^N^o <* # * . 'bV 5 "> v . » • J>* q*. *.. <*> * *°^ v q* a?' •!*«* ^ v *,1X/* q* 4,o v .!••- *> 1 »!••- > '••■X ■' ■» o *bV" 3 •1 o A i v . « • A <, *7r.^ .0*" ^, • A V «^. v sM .* ^ ^ *'TTT* .0^ q- "••»" A q* ^0 -HOfc °o «■ .v ^ -y^ 7T** <(r o^ 'o.»^ \ iG* '•"• *v >* i~ .r & ^. *-\ «^^^>o >\-^.V ^JtifeS f s4Mk***r ^4mk °* ^ ^ N ^°°' % ♦ v ; ^ t v ^9' o\y 0^ % ^'J* *o ^o* cd ^ .*^b\%.^ .•issfc*-. %j .-ator-. v c ^ .-^»- v^ v^^>' ♦ 4* ^ • >V vv .0' ^^ v K^ ^ 40. ■♦. \wm^:: ^'^ iw\¥; ^ y ^ . ** A ^°^ ^ a5 X, >°^. ..0- -0' V**^*\^" ^ *^f'* .o° ^ '•TTi»*' a* 1 " 7< \ °-%W ; ^ v % \^K ; ^\. °-^K ; ^ v \ '.flR' ^\, ite tiHi Mtflfc "^ •-^-•' f ' '^^^ Bureau of Mines Information Circular/1987 Remote Sensing of Mine Waste By C. M. K. Boldt and B. J. Scheibner UNITED STATES DEPARTMENT OF THE INTERIOR Information Circular 9152 U Remote Sensing of Mine Waste By C. M. K. Boldt and B. J. Scheibner UNITED STATES DEPARTMENT OF THE INTERIOR Donald Paul Hodel, Secretary BUREAU OF MINES David S. Brown, Acting Director Library of Congress Cataloging in Publication Data: Boldt, C. M. K. (Christine M. K.) Remote sensing of mine waste. (Information circular ; 9152) Bibliography: p. 39. Supt. of Docs, no.: I 28.27: 9152. 1. Spoil banks- Remote sensing. 1. Scheibner, Barbec J. circular (United States. Bureau of Mines) ; 9152. II. Title. III. Series: Information TN295.U4 [TN292] 622 s [622] 86-600407 CONTENTS p age Abstract 1 Introduction 2 Aerial monitoring 2 Study 1 2 Description of work 2 Equipment and instrumentation 5 Results 5 Recommendations 9 Study 2 9 Description of work 10 Results 14 Recommendations 18 Remote data transmission 19 Phase 1. — In situ instrumentation with remote data collection by telephone... 19 Description of work 19 Equipment and instrumentation 20 Results 27 Phase 2. — In situ instrumentation with satellite transmission of data 29 Description of work 29 Equipment and instrumentation 29 Results 32 Recommendations — phases 1 and 2 32 Satellite imagery 33 Description of work 33 Equipment and procedures 35 Results 36 Recommendations 37 Summary and conclusions 37 References 39 Bibliography 39 ILLUSTRATIONS 1 . Matrix of monitoring methods 3 2. Convergent aerial flight scheme 6 3. Typical exposure layout 7 4. Ground target detail 7 5. Orthophoto site map with contours 11 6. Orthophoto with 100-f t grid 12 7. Isometric displacement mesh 13 8. Enlarged view of displacement vector plot 13 9. Qualitative features distinguishable on an aerial photo 17 10. Typical surface profile comparing 100-f t grid to favorable point readings. 19 11. Lower Big Branch impoundment site plan 20 12. Block diagram of remote instrumentation system 21 13. Site instrumentation location 23 14. Cross-section instrumentation location 24 15. In-place inclinometer installation 25 16. Piezometer installation 26 17. Tiltmeter installation 27 18. Electrical cable junction box 27 ii ILLUSTRATIONS— Cont inued Page 19. 20. 21. 22. 23. 24. 25. 26. 1. 2. 3. 4. 5. 6. 7. Water levels for piezometer 8-7 Monitoring costs as a function of number of readings Data collection platform, solar panels, Yagi antenna System data flow Overall Landsat system Fort Green, FL, study area: derived from aerial photography , Fort Green, FL, study area: automated change detection Fort Green, FL, study area: manually interpreted TABLES Comparison of possible inspection programs , Initial costs of monitoring , Inspection costs per site List of sensors and locations , Cost analysis of manual and remote monitoring systems , Cost comparison of satellite and telephone data transmission Classification accuracy of methods used to study five waste areas , 28 29 30 31 34 35 36 36 8 9 15 22 28 33 37 UNIT OF MEASURE ABBREVIATIONS USED IN THIS REPORT A-h ampere hour in inch bps bits per second m meter ft foot St short ton h hour V volt ha hectare yr year REMOTE SENSING OF MINE WASTE By C. M. K. Boldt 1 and B. J. Scheibner 2 ABSTRACT This report summarizes five separate Bureau of Mines contract studies on the use of aerial photogrammetry , satellite transmission of in situ instrumentation information, and satellite imagery to monitor and update mine waste embankment data. The equipment used, methods applied, re- sults, recommendations, and cost analyses are presented along with a bibliography of related investigations. ' Civil engineer. o ''Geologist. Spokane Research Center, Bureau of Mines, Spokane, WA. INTRODUCTION Remote sensing can encompass a broad spectrum of techniques including (1) pho- togrammetry, which uses aerial pho- tography to obtain cadastral surveys, (2) electro-optical systems, which trans- form electromagnetic radiation into elec- trical signals to produce images, and (3) imaging and nonimaging sensors, which measure an object's radiation (1_).3 Re- mote sensing, as it relates to mine waste embankment monitoring, is the gathering of information without direct human con- tact. This report concerns itself with aerial phot ogramme try and the use of sat- ellites either as a communications trans- mitter of in situ instrumentation data or for imagery. The studies discussed in this report (2, ^, _6-_8) were completed under contract with the Bureau of Mines, Spokane Research Center, Spokane, WA. Existing inspection techniques used by Mine Safety and Health Administration (MSHA) personnel consist of individual on-site visits. Typically, only a lim- ited number of sites per day can be in- spected owing to travel time requirements and the size or ruggedness of the ter- rain. Aerial photogrammetry allows in- spection of a number of sites and pro- vides documented, sequential evidence over time of an embankment 's surface changes, such as erosion, volume changes, and drainage maintenance; however, it may not always detect sites of minor ground movement. Satellite monitoring allows the embankment conditions data to be read on demand at even the most remote sites, but image detection resolution is lim- ited. Even with such limitations, remote sensing offers many advantages; there- fore, remote sensing studies were ini- tiated by the Bureau to determine their value for improving inspection techniques and monitoring effectiveness. This summary of remote sensing investi- gations is divided into three major sec- tions: Aerial Monitoring, Remote Data Transmission, and Satellite Imagery. In the "Aerial Monitoring" section, study 1 describes the use and results of aerial photogrammetry on an actively moving landslide in Oregon and on two coal ref- use sites in West Virginia; study 2 used a different technique to monitor 15 coal waste sites in West Virginia and Ken- tucky. Under "Remote Data Transmission, " phases 1 and 2 describe the use and re- sults of various in-place instruments, such as inclinometers and piezometers, and the effectiveness with which their data can be transmitted from a remote site to a collection center anywhere in the country via satellite. The "Satel- lite Imagery" section assesses the effec- tiveness of using Landsat photos of mine waste locations to update and upgrade ex- isting mine waste inventory data. AERIAL MONITORING STUDY 1 Since 1974, the Bureau of Mines has been interested in using remote sensing techniques to improve coal waste site monitoring capabilities (8). In 1974, the Bureau awarded a contract to CH2M Hill to look at the feasibility of devel- oping a fast, reliable, and effective method of measuring the stability of coal waste embankments by remote means. Various techniques were categorized and fer to items in the list of references at the end of this report. tabulated according to their ability to meet these requirements (fig. 1). Aerial photogrammetry was determined to be the most promising technique for monitoring coal waste embankments. Description of Work After the aerial photogrammetric method had been chosen, the technique was ap- plied to actual field conditions. To be able to obtain on-site measurements as well as the aerial photographs, it was necessary to have a site that was ac- cessible without disturbing production. Consequently, an active landslide near ■^^MMB ■o O JZ Cy E Ol c o c o 2 8 A 1 | B A u u | a z a z a Z a z a < z a < z < Z * a < z a < z CO HI o > 111 0> "_ ~ B — C a. ° .! c CO CO > C o * sjsisuiiiit 030) j"S • o. < z a < z a < z a < z • a < z a < Z • X X • X X X X X X X X s ud e j6 o i o g d OAipjedey • < z a < z Q < z a < z • • a < z a < z 4 4 X 4 X X • • X • • souii bBubj iens|A 8 | d uj j s • a < z a < z a < z < z • a < z a < z • 4 X X X X X X X X V X seuinn p u B gjibm • a < z a. < z a < z a < Z • Q < z Q < z • X X X X • X X X X X X s j e i e uj o g u e I x e e|duijS • 4 < z CI < z a < z • a < z a < z • 4 4 X 4 X X X X X X X sjoiBOfpui Bdo|6 BAiiBljIBno • 4 a < z a. < Z Q < z • a < z a < z • 4 4 4 4 X X X X X X X suoiieAjesqo |Bn6iA a z a z a z a z n c o c IB > c o O B J Bl BUIO Z Bj d • • a < z Q. < z a. < z • a < z a. < z • X X X X X X X X • X X Bu||dUiBS • a < Z < z a < z a < z • a < z • < z X X X X X • X X X X X 6 u j 6 n e 6 UIBBJ1S • a < Z a < z a < z a < z • a < z < z • X X X X • X X X X X X eauinn pus 6J|BM • a < Z a < z a < z < z • a < z a < z • X X X X • X X X X X X jeiaiuou||ou| • a < z a < Z a < z a < z • a < z a < z • • 4 • X X X X X • X X ■ jeieiuoiueixB • • a < Z < z a < z • a < z a < Z • • • X • X X X X X X X Du|A6Ajns Ajeuipio a z a Z a z a z a Z X X X X X X X a c to c (0 s o E o CC |B0[B Aqd 8 Q U ! 8 6 1 UJ 9 OIlSnODB ' U | | ||8M ' A" || A| )B|88 J ' ! UJ 8 1 9 S a Z a z a z a z X X X X X X X X 4 X X 890IA9p Du|jnSBBUJ MlDusJiB Pieu B A | | B | p B J ' | 1 6 u 6 B UJ " a 1 1 a e j 'oipejj a z a z X X X X X X X X X X X Dujuub os (SAB* DU0|) Aj)8Uid|pBU < z a < Z • • • a < Z • a < z a < z X X X X X X X X X X X p e j e j | u i |BuiJBl|i a < z a < Z • • • a < Z • • a < z X X X X X X 4 X X 4 X |li)Q»di|i|nn a Z a z z a z X X X X X X 4 4 X 4 4 j b pBa a z Q. z a z a z X X X X X 4 X X 4 X AJlBUILUBiDolOUd 8J8t||l G n o | J B A a z a z a z a. z a z 8 u d | 8 | n UJ e enoijBA a z z a z a z a z KEY Not applicable or unknown Suitable Possibly suitable Not suitable e O o Ol c 01 c a a> o E « CC c o 10 S o a c e c o CO c a u c o a> H re C O © O a. c 9 U c SZ U « o c 01 CO c CD C o i- re c o I u o > c c re o u 3 CO 01 re * o ■a o "D T3 c 01 a. 3 CO « 3 O * s z c o a a 01 CO E o a c c re E a 3 01 re re E o a a 01 3 O E o c c o a a Ol > E o « c ■D O f O 2 B >. = h. c a o g « a. a > c » c a w c a o a E a « k a O a a c a • I a • ° o » E Ol re a 01 a CO u s E o _ n a o > Z i a. < • 4 x U O 1 ) 9 | | O D B ) B Buiijets sjoiBDipui A j 1 1 1 q e j s i u ecu p e q wg SJO)Erl|EA3 to ■o o •C % E UJ oc o T3 o jr © TJ , 0) — Z w — C a .2 ? c CO V > c o o SJ0)9iu)|!l o o e j j n s X X X X X X X X X _j 2 2 X 2 ^ I I _J X _J o s l| d e j 6 o i o Li a e a i i n e d a y 2 2 2 2 2 I I o | 4 - -j eeuii eDuej iensiA s i d uj i s X X X X X X X X X _j 2 2 I 2 -i 2 1 J X -1 o eeujnn pub b j i © m X X X X X 4 X X X _i 2 2 I 2 -j I I o X -I o e j e i e lu o e u e i x o e | d uj i s X X X X X X X X X 2 2 2 2 2 _j 2 X _l X 2 o sioieoipu) edo|S e a 1 1 b , 1 1 b n o X X X X X X X X 4 S 2 2 I 2 _i I I 2 X 2 o o j o i i b /. jeeqo i e n e i /, -i 2 2 2 2 2 X I o X 2 o « c c 9 > c o O B JBI0U1O Z0)d X x X X X X X X 4 X 2 2 -I 2 _j I X ° X 2 o Sum d ut a s X X X X X X X X X _l 2 2 -I 2 -i I I o X _l o u i C n e uj e 8 j i $ X X X X X X X X X _J I _i 2 I .j X I o X -j o e e uj n | i pui e j i e m X X X X X 4 X X •4 -I 2 2 I 2 -i I X -i o J8|OUIOU|| DU | X X X X X X X X X I I j -I 2 -i X X o X 2 o 8J9|9ujo«u«ix3 X X X X X X X X X I 2 -j 2 2 -j _l X o X 2 o Bu|ABAjni /jbuipjo • • X X X • X X • -J I -j 2 I -i X X o • X _J at c V) c « 0) o E © ■ •9|* A q d o e o 8 U O | 9 6 | UJ 8 D||lnODl ' D o i o i ||«m ' A H A | l 6 | s © J ' 3 | UJ U I 9 s X X X X X X • X X 2 X -j -i _j Z X 2 _l X O o ■ 93|A9p u | j n e e e uj • A||3I0|P*J ' | I 9 u B Uj *A||abjO 'oipbh X X X X X X X X X 2 X _j _j -i I X I _l X o o U | u u * o s (•ABM CuO|) A j | 8 UJ O | p 1 a X X X 4 X « X X 4 X I I X -j X 2 2 2 X o o p b j • j j u i leuiiem « 4 X 4 X « 4 X I X I .j r I -j -1 X -J o |iJ|3»di|i|nt/« « 4 X 4 X 4 4 X X X 2 -I i X -j -1 X _l o j*p«U < 4 X 4 X X 4 I | " X 2 _l z X X 2 X -J o A j 1 e lu ui b jB010l|d • j a i| ft s n o i j « a X X • 2 2 X 2 _l 2 X _1 _j • X X • uo|B|niue sno|j>A X X • 2 2 X 2 -j 2 X -1 ^ • X X Y ible or unknown jitable e e • B o • > ■ ■ a > ■ s UJ a c 3 • c 3 • o c ■ D ■ ■ > ■ CO a c 1 a c c a I! • t. So © o c o ■ © C a • ■ - ■ c ■ o o c * e a c o • ■ ■ D 2 e a o • a o 5: • > c c ■ c > < > • OJ c o a s • E ■ o E ■ • > • • 3 KE YAp Not applic. • Suitable A Possibly s X Not suitab H High M Medium L Low to non None • « * ° = = a - = 1 UJ • _ o a n c K c c c o ■ • • u A ° o 3 _ n a S JO 1 B Oipuj A j 1 1 ; q b i s (uem >|uequ)3 f, |l|BOI|OB JJ s jo le n| b a 3 ■o 0} e o U I 09 o £ « E as Z I UJ cc A_ Roseburg, OR, was selected as the primary site. Two stable coal refuse sites were selected for later evaluation. The landslide was monitored with 22 targets situated on the actively moving surface and 13 targets acting as control points off the active area. All targets and control points were surveyed to first-order accuracy, and the coordinate system was determined with a least- squares computation. The site was moni- tored once a month from February to May 1976 by comparing aerially derived co- ordinates for each target to actual sec- ond-order (±0.02 ft) ground surveys. Us- ing a higher order accuracy, 20% of the aerial system's coordinates were within ±0.05 ft of the coordinates determined by ground surveys, 80% of the total read- ings were within ±0.10 ft, and 99% of the readings were within ±0.25 ft. Data from the Roseburg landslide indi- cated that aerial monitoring could work, on active, steep terrain; therefore, two coal refuse embankments in West Virginia were selected as the next evaluation sites. The Wharton refuse embankment is 500 ft high with a 1, 500-f t crest length and covers approximately 50 acres. It was built between 1956 and 1976 with aerial- tram-deposited material and contained an upstream pond. Thirty-six targets were installed and ground-surveyed on the em- bankment and at seven control points. During monitoring, 20 targets were de- stroyed by mine activity. Ground surveys were conducted at the beginning and end of the monitoring period. The Stirrat refuse embankment is 490 ft high with a 1, 700-f t crest length and covers approximately 40 acres. It forms an impoundment with 250 ft of freeboard and was constructed via aerial tram be- tween 1945 and 1970. Since 1970, mixed coal waste and fine slurry have been hy- draulically discharged behind the dam. Thirteen targets were installed on the embankment and at four control points. Stirrat was used as a regular inspection prototype. Ground surveys of targets were conducted only at the beginning and end of the monitoring period to determine if any had moved during the 6-mofith period of monitoring, July through De- cember 1976. Equipment and Instrumentation The aerial monitoring technique incor- porated the least-squares computation for calculating ground coordinates of targets on an embankment from measured coordi- nates of their images on three overlap- ping aerial photographs. The flight of the fixed-wing, low-altitude aircraft used vertical and, for more accuracy, convergent photographs (fig. 2), as op- posed to the more conventional, vertical only, 60% overlap photographs. Typical flight lines were developed to optimize mapping accuracy of coal refuse sites (fig. 3). Ground targets 11 in. in diameter, painted nonref lecting white and with an anchor pipe, afforded high visi- bility (fig. 4). However, these targets would be unsuitable in winter snows. Other equipment used during the study included — 1. Wild RC-8, 4 6-in focal length map- ping camera with a 9- by 9-in format size. 2. Monocomparator which measured X and Y image coordinates to the nearest 1 x 10~ 6 m. 3. Optical stereoscope to gather qual- itative information from the aerial pho- tographs; for example, cracks, bulges, slumps, erosion, and seeps. 4. Fixed-wing aircraft. 5. Minicomputer to reduce data points to coordinates. 6. Kodak Double-X Aerographic 2405 (estar base) black and white (B4W) film. 7. Kodak Aerochrome Infrared 2443 (es- tar base) color infrared (CIR) film. Results The data and results of this aerial monitoring effort are described in more detail in the full report (8) ; however, the significant factors that must be con- deference to specific products does not 'imply endorsement by the Bureau of Mines. Left convergent Right convergent photo Vertical photo photo FIGURE 2.— Covergent aerial flight scheme. sidered when using aerial monitoring of waste embankments are summarized as follows: 1. Depending on the area to be moni- tored, the camera, and the flying height, the average scale of the aerial photo- graphs upon which all photogrammetric measurements were based was 1:4500 to 1:5400. The maximum area encompassed by a flying height of 2,700 ft above the mean terrain would be 4,000 by 4,000 ft. 2. The accuracy of producing topo- graphic contours from aerial measurements was 1:500 to 1:2000 of the flying height. 3. B+W film needs no special storage consideration and is conducive to repro- duction. However, because of the eye's limited response to varying tones of gray, it is difficult to differentiate variations in, for example, vegetation and moisture. 4. CIR film is sensitive to tempera- ture variations and humidity and must be kept in a refrigerator or freezer with adequate thawing out time prior to use to avoid moisture condensation during exposure. The color resolution also de- teriorates in poor weather, and the longer shutter speeds needed for low-sun- angle shots in the fall and winter cause blurred targets under magnification. 5. Neither B+W nor CIR film proved clearly superior to the other for ei- ther quantitative or qualitative interpretation. 6. The theoretical accuracy of 1:35,000 for convergent photogrammetry was not achieved. 7. The photogrammetric method of moni- toring produces a permanent, visual, and, most importantly, objective record of the site. Left convergent exposure Right convergent exposure Typical """ flight line Vertical exposure Typical perimeter of embankment LEGEND ► Direction of flight lines • Aerial photograph taken at this location FIGURE 3.— Typical exposure layout. Flat washer Multiple-set expansion anchor 3/4-in bolt by 1-1/2 in long 11-in-diam aluminum disk, painted flat white 1-in galvanized pipe by 3 ft long (additional lengths added by couplings) FIGURE 4.— Ground target detail. 8. The cost of aerial monitoring ranged from 40% of conventional ground surveys on the Oregon landslide to 15% on the two coal refuse sites. 9. Aerial monitoring costs were 175% to 300% more than costs of the current Mine Safety and Health Administration (MSHA) routine (table 1). 10. Total costs for aerially monitor- ing a coal waste site would vary greatly depending on the number of sites to be monitored, the number of flights, the area to be covered, the target installa- tion, and the ground survey (table 2). TABLE 1. - Comparison of possible inspection programs (based on 1975-76 costs) Program Staff capability, embankments per month (3-member staff) Average cost per embankment 60- 90 3- 5 90-130 70-100 $150-$200 2,000-3,500 350- 500 D Combination, current methods and rapid 230- 330 ^ased on data from MESA District 4 (now MSHA), 2 Using 1 film type. Program A remarks: Program B remarks: 1. Inspections are qualitative only. 2. Written descriptions of conditions are recorded on standard forms. 3. Possible unsafe conditions may be overlooked or misinterpreted be- cause of lack of physical measure- ments or lack of experience of the inspector. 4. Economical. 1. Capable of detecting and monitoring movement. 2. Capable of mapping and determining quantities. 3. Provides written record. 4. Time consuming. 5. Labor intensive. 6. Costly. Program C remarks: 1. Capable of detecting and monitoring movement. 2. Capable of mapping and determining quantities. 3. Provides permanent, visual record. 4. Provides qualitative data. 5. Economical in comparison with con- ventional ground survey. 6. Enables experienced people to view (via photos) many embankments per month. Program D remarks: 1. Capable of monitoring more embank- ments than current inspection methods. 2. Provides qualitative information on all embankments and quantita- tive information on selected embankments. 3. Inspections would allow for better allocation of field inspection re- sources for suspect embankments. 4. Method would be more economical than rapid monitoring alone. HH TABLE 2. - Initial costs of monitoring (based on 1975-76 costs) Rapid monitoring system: Airplane $55, 000 Aerial mapping camera 75,000 Monocomparator 30, 000 Total cost 160,000 Conventional ground survey: Theodolites (2), at $5,000 each 10, 000 Engineer's level 1,500 Electronic distance-measuring equipment 8, 000 Miscellaneous equipment. 3, 500 Total cost 23,000 Certain disadvantages of the aerial monitoring technique became evident as the project proceeded: 1. To achieve the accuracy desired, convergent photography was used. 2. This type of photography required four flybys per site (three for conver- gent and one for stereo), and the accu- racy was dependent on the capability of the aircraft to tilt at a specified angle twice over each site. 3. Movement on the embankment, indi- cating instability, could only be de- tected at the target itself. 4. The targets, especially those placed on the embankment, were highly susceptible to damage and to surface movement due to construction activity, vandalism, or looseness of the embankment material. 5. Aerial monitoring is also highly dependent on weather. 6. Haze, cloud cover, snow, low sun angles, and other problems decrease accu- racy and hamper or preclude the ability to take photos. Recommendations As described in the full report (8^), the following procedures and conditions are recommended in order to obtain opti- mum results: 1. More reliable results can be achieved if the camera is fixed on a ro- tating mount within the aircraft than by attempting to tilt the aircraft to obtain convergent angles. 2. Ground targets should be a minimum of 1:2000 of the flying height above the mean elevation of the embankment to opti- mize monocomparator results. 3. An accounting system to replace lost or damaged targets must be included in a monitoring scheme of this type. 4. Control points should be surveyed after the flight lines are determined so that they can be located as near the four corners of the photos as possible. 5. To obtain the best target read- ings, the aircraft should fly directly toward the face of the slope; that is, the flight lines should be perpendicular to the crest of the embankment. 6. To obtain the best results for stereophotography, the flight lines should be parallel to the crest of the embankment. STUDY 2 Study 2 of the Bureau's aerial photo- grammetric investigations began in 1979, monitoring 15 coal waste sites once a month for 10 months through seasonal changes (6^). This contract investigation was performed by Chicago Aerial Survey. The method for taking photos and the technique for obtaining elevations of the targeted site were different from those of the first aerial study. Specifically, this contract was intended to determine the best procedure, the level of accu- racy, and the costs of using aerial pho- togrammetry to monitor coal refuse dispo- sal sites in comparison with current MSHA inspection practices. 10 Description of Work In this study, large-scale, low-alti- tude, aerial photos were analyzed for vertical elevations through an analyti- cal stereoplotter. In this technique, a stereoplotter operator benchmarks known elevation coordinates on control targets surrounding the coal refuse site and thus can determine the elevation of any other point on successive orthophotos. This technique is not dependent upon targets being placed on the investigation site, as was the case in the first study. In- stead, control targets off the sites in question were ground-surveyed at the be- ginning of the monitoring period for ref- erence X and Y coordinates and eleva- tions. Use of such reference points out of the movement area was a distinct ad- vantage because they were not affected by any movement on the target area or by other disturbances such as construction activity. Fifteen coal waste sites in West Vir- ginia and Kentucky were monitored once a month for 10 months using B+W aerial pho- tography and four separate times using CIR. Four field inspections of the sites, using procedures similar to MSHA's inspection procedures, were made. The inspections familiarized the observers with the sites, enabling them to compare the results of the stereo and photogram- metric observations with ground observa- tions. The ground inspections were con- ducted on a seasonal basis, as was the CIR photography. This format allowed a determination of the effects of seasonal changes and the correlation of aerial to ground observations. Low-altitude flights were conducted over each site to obtain the aerial pho- tos. Because the refuse piles varied in size, various scales of photography were implemented to encompass each site with the surrounding ground control targets in a single stereoscopic model. The scales ranged from 1:5400 (1 in = 450 ft) to 1:9000 (1 in = 750 ft), using flight al- titudes of 2, 700 to 4, 500 ft above the average terrain elevation. This scaling restriction limits the dimensions of the site to be monitored to 1,620 by 3,150 ft at 1:5400 and to 2,700 by 5,250 ft at 1:9000. (The ground control targets out- side the refuse pile area must be in- cluded in the dimensions. ) From the aerial photographs, orthopho- tographs were produced. These are aerial photos of fixed scale in which all dis- tortions and displacements have been cor- rected (camera tilt, terrain-relief dis- placement, etc. ). The orthophotograph is then a scaled picture map on which one can directly measure distances and, when overlaid with contour information, pro- duce elevation readings at any point. Figure 5 shows an orthophoto flight map with topographic contours overlaid. The contours were generated from compilations of the stereoscopic models. X, Y, and Z coordinates were read off the aerial photos using an analytical stereoplotter. For this project, a grid system of 100-ft squares was optically overlain on the orthophoto, and coordi- nates were taken only on the cross grids for monthly comparison of movement (fig. 6). Various configurations for displaying the produced data were attempted. One option consisted of computer listings of each grid point with values greater than 5 ft highlighted. Another method graphi- cally displayed the displacement mesh isometrically, displaying vertical move- ment (fig. 7). The displacement mesh tended to exaggerate small amounts of movement. Also, it was very difficult to orient the isometric mesh with any of the photographic products (orthophotos, contact prints, etc. ) to indicate at a glance where the movement was occurring on the embankment itself. Another technique involved suppressing the line printer information and produc- ing a computer-drawn plot consisting of circular symbols which represented ver- tical movement. The type of symbol dis- played represented positive (upward) or negative (downward) movement. The diame- ter of the circles was proportional to the magnitude of the movement and was or- thogonal at the same scale as the ortho- photo. The movement values were printed next to the circles (fig. 8). Hi 11 o CD c © o "5f o o 04 o m o — * 2? /• / 5 o. to E Q) "55 o o Q. O r o I in LU tc O 12 2 o c a. o c r o « LU cc a 13 !♦« 50 1 00 1 Horizontal scale, ft Vertical scale, ft FIGURE 7.— Isometric displacement mesh. N32 N31 N30 N29 N28 N27 5j 2< «-0 5.i 34 N26 (> N25 5.i "B 2.6 &3 N24 34.6 2.7 23.8 34.5 -1j 32.6 12 -O-0 -8.0 <^K} 2.5 66.2 66.2 7.6 €> 12.7 -56.0 12.9 12.9 1.3 2.2 000 21.8 -2.i -0.8 5.3 82.i 0.8 5.3 31 -4.8 4h -1.4 0.6 3.7 1.8 <} -0.7 2.8 0.5 1.5 5.3 31.5 1J 0.7 e 87.5 32j 87. 0.6 -1. 0.6 -1j 98.7 0.8 -0.7 -3.8 <&- 14.4 77.7 e 1.9 18.7 71 j o- 25 50 I I I Approximate horizontal scale, ft Vertical differential in feet FIGURE 8.— Enlarged view of displacement vector plot. 14 Results A more detailed discussion of the in- vestigation, as well as complete data and results, may be found in the full report (_6). However, the following observations were considered significant factors to this type of monitoring: 1. Sites of greater dimensions than that described would require either higher altitude photography or additional models. Higher altitude photography would lose resolution of ground features, decreasing the accuracy of the system. 2. Aerotriangulation, necessary to combine the coordinate systems of sepa- rate models into one model, introduces deviations in horizontal positions, which are extremely difficult to maintain or reconstruct in precisely the same way month after month. 3. Useful aerial photography was dif- ficult to acquire on a monthly basis, since the area (eastern Kentucky and southwestern West Virginia) has below- average weather conditions for year-round flying, and acceptable sun angles (30° or higher above the horizon) are at best available for 5 h daily (9:30 a.m. to 2:30 p.m.) in June, dropping to 2 h (11:00 a.m. to 1:00 p.m.) in December. 4. Because of the great differences in high and low elevations on the piles and because of the normally steep slope on the downhill side, low sun angle causes unusually long and very black shadows. Crevassed or eroded areas filled with deep, black shadows make precision ele- vation readings nearly impossible to ac- quire in any stereoplotter. 5. Sites situated on the northern slopes of hillsides or mountains are to- tally in shadow during the winter months. This reduces photo definition by lowering image contrast. 6. Snowfall immediately prior to an aerial survey made it necessary to expose and paint some of the control targets black and white. 7. Forward overlap of 90% in the pho- tography ensured the least amount of fly- ing by helping to maintain complete stereo coverage. 8. A flight altitude of 1,800 ft above the mean terrain will produce opti- mal photography at an average scale of 1 in = 300 ft and expected spot elevation readings as precise as ±0.15 ft, using a stereoplotter with a C-factor rating of 3, 000 or greater. 9. Vegetation can be a serious prob- lem. By the end of the summer, identifi- cation of field control points was ex- tremely difficult, and even impossible at some of the sites, because the vegetation had overgrown the targets. Also affected were photo identification features used as control points, such as bases of util- ity poles. The memory function of the stereoplotter allowed the operator to eliminate sending supplemental field crews to the sites. Auxiliary control points were derived from the stereo model using points visible despite the vegeta- tion. These points were then used to control successive stereo setups in the following months. 10. Erosion is easily seen on aerial photos, and its severity is also general- ly apparent. However, flattened vegeta- tion can give an erroneous impression of serious erosion. 11. Tension cracks are generally not apparent in the photos. Cracks are some- times visible when enhanced by erosion, deposits left from condensation of vola- tiles, or scarps. Scarps having more than 3 in of vertical displacement are visible on barren piles. The slumps as- sociated with scarps are generally visi- ble on the photos whether or not vegeta- tion is present. 12. Using enlargements, seepage can be seen on barren piles as darker areas on the refuse. On vegetated piles, seepage is sometimes hidden by the vegetation. In other instances, seepage may be in- dicated by the vegetation having been washed away or by abundant growth. 13. Aerial photography is an excel- lent method for monitoring diversion ditch systems and water impoundments be- cause an entire system can be viewed simultaneously. 14. Actual lift heights cannot be de- termined from photos alone. This can cause problems because MSHA requires that 15 refuse piles be constructed in compacted layers that do not exceed 2 ft in thick- ness, unless otherwise approved. 15. Equipment tracks observed in the photos on spread refuse can indicate that some compaction has taken place, although the actual degree of compaction cannot be determined. 16. Stereophoto analysis can be used to detect changes in slope; however, the angle of the slope is not obtainable from the photos alone. 17. CIR photography can, at times, provide more information than B+W prints. Iron staining appears as a greenish hue in well-exposed CIR photographs. The CIR also has better resolution under high magnification. Seasonal variation in conditions, particularly vegetation and s-now, affect visibility of features, sometimes hiding them but sometimes high- lighting them. 18. Photogrammetry (fig. 9) can be used to answer many of the questions on the MSHA report form. The photogram- metric system used in study 2 is best for locating surface movements involving large areas because a 100-ft grid can easily miss movement occurring in areas between intersection points. 19. Orthophotos with contours can be used to determine slope, initially from the contours and later by adding changes in elevation from the computer plots. 20. Deposition is visible on the orthophotos. 21. Air photo analysis and photogram- metry do not completely answer all of the questions on the MSHA inspection form. The advantages and disadvantages of us- ing aerial photointerpretation in moni- toring coal waste sites are listed on the next page. Table 3 tabulates cost esti- mates for aerial monitoring of coal waste sites as compared with MSHA inspection techniques. TABLE 3. - Inspection costs per site (based on 1980 costs) 1 site Labor Direct Total 2 sites Labor Direct Total 10+ sites Labor Direct Total PHOTOGRAMMETRIC METHOD Ground control targeting 1,600 400 2,000 1,600 400 2,000 1,600 400 2,000 Photographic flights using Color infrared film in ad- dition to black and white (assumes a dual-camera aircraft or interchange- Photo lab 25 80 17 80 20 40 46 140 10 23 120 25 25 220 10 40 200 45 40 46 25 60 16 80 20 40 46 110 8 22 120 25 25 170 8 38 200 45 40 46 25 50 15 80 20 40 46 100 8 22 120 25 25 150 8 37 Photogrammetry contours Data processing (including 200 45 45 Aerial photo interpretation 46 Total, recurring costs 308 318 626 287 285 572 276 275 551 GROUND INSPECTION METHOD MSHA site inspection. 450 20 470 450 20 470 450 20 450 x Survey costs represent a 1-time expense of $2,000 per site, which will not in- crease or change as monitoring time is extended. 2 Average maintenance costs per monitoring flight (variable). Locations with light or no snow require little or no target maintenance during winter months. Heavy brush must be cut during summer or autumn months. 16 Advantages and Disadvantages of Using Aerial Photointerpretation in Monitoring Coal Waste Sites Advantages Rapid return of interpretable data. Results are "time-frozen" - the aerial film preserves a record of the site at the time of flying. The film can be re- set in a stereoplotter at any time to verify derived data relative to monitor- ing. This becomes more of an advantage over a period of time, when not only data from consecutive monitoring periods can be compared, but also data from monitor- ings months or years apart. New types of data may also be determined from earlier photography. Aerial monitoring reduces field time. Aerial monitoring provides the inspector, through typical stereoplotting instru- ments, the opportunity to measure any or every visible point on the embankment surface. Aerial monitoring offers reliable rela- tive measurements economically. Minimal ground survey is required for cpntrol of the photography. Accuracies of ground readings can be a function of the photogrammetric equip- ment, typically ranging from 1:2000 to 1:4000, or the aircraft altitude. Disadvantages Sufficient targets of photoidentif iable control points are required for use in controlling the stereo model setup; how- ever, inaccessibility of many sites and activity on and around the sites make the targets vulnerable to disappearance and destruction. Accuracy of elevation readings was dis- appointing. Accuracy problems are en- countered due to lack or loss of control points, terrain slope, vegetation growth, shadows, atmospheric conditions, enforce- ment of readings at specific locations, or any combination of these. The 100-ft grid readings are not suffi- cient to define true surface characteris- tics of the pile. Predefined grid inter- section points present only comparison readings at these points. High and low surface points (peaks and valleys) are not well defined. The selection of stereo instruments is restricted to those with a large range of elevation-measuring capability because of the great differences in pile eleva- tion. Instruments should be equipped with 3-axis digital readout to facili- tate numerical model setup and stereo observation. The cost is greater than for on-site vis- its; see table 3. ■■I 17 O o ,-* £ LL o o a. « a (0 c CO c o .a a II) t5 a 3 o I an lil oc 3 O O © Ik. a o 18 Recommendations Based on the results from study 2 of the aerial monitoring investigation, the following recommendations are made: 1. Monthly aerial analysis is not jus- tified; the minimal amounts of surface movement or change detectable from month to month suggest it is necessary to re- view surface conditions periodically, but semiannual aerial inspections seem to provide sufficient sampling of most stable sites. Inactive sites would gen- erally require less frequent aerial monitoring. 2. Flights should occur at the lowest possible, nonhazardous altitude in order to take photographs that include one in- dividual site in a single flight line. 3. Atmospheric conditions such as haze and cloud cover should be closely watched because they can greatly influence the photo resolution. 4. All targets should be placed or made visible before each flight. 5. Wherever possible, the surrounding embankment should be saturated with con- trol targets to ensure adequate reference point survival through the monitoring period. 6. Trigonometric levels are sufficient for determination of target elevations. Because only a relative datum is impor- tant, spot elevations from U.S. Geolog- ical Survey (USGS) quadrangle maps may be used to provide a vertical datum. These should be as near to the corners of the stereo model as possible. 7. Targets should be referenced by sketch and description to three physical objects to aid in accurate repositioning should panels be moved or destroyed. 8. Once horizontal and vertical con- trols are determined for model setup (or- thophoto, stereophoto analysis), field personnel are not required for aerial procedures except for maintenance of the targets. 9. Targets should be durable and se- curely anchored and may be of any shape easily recognizable in the aerial photographs. 10. Consistent reconstruction of the original stereo model setup is the most critical operation in the photogrammetric procedures. It is essential that control points be sufficient in number and clear- ly visible at all times. 11. Targets that were not survey- coordinated during field operations should be used as auxiliary control points. 12. It is possible to use premarked auxiliary control points. These are points created by drilling tiny holes in the photo emulsion using a point marking and transfer device. These points can be transferred accurately from one month's flying to the next, as long as the images are compatible. 13. Profiles should be determined transversely and perpendicularly to the crest of the embankments. Elevation points for these profiles should be taken at a maximum distance of 25 ft, using the "most favorable location for reading" technique. A minimum of three parallel transverse profiles should be determined for each embankment. Large embankments should have five of these profiles. In- formation derived from the profiles in- cludes determination of slope of the em- bankment face, determination of actual buildup on active piles, verification of trends noticed in examination of the ba- sic profiles, and slippage at the crest and buildup at the base of piles. Both studies 1 and 2 were based on ele- vations determined at specific locations on the surface of an embankment. Because of the unreliability of elevation read- ings, enforcing point-reading locations does not appear to be effective. A more effective system of surface definition would allow point selection by visual means, using a "most favorable location for reading" technique. That is, a stereoplotter operator reads points that he or she can see well to ensure precision and reliability of point read- ings. The operator would also be able to read an indefinite number of points, reading high and low spots and other points on the surface not farther apart than 25 ft. Figure 10 compares the ^m^^m 19 fixed-grid method with the "most favor- able location" technique. Details of this system may be report (6). found in the study 2 REMOTE DATA TRANSMISSION PHASE 1. - IN SITU INSTRUMENTATION WITH REMOTE DATA COLLECTION BY TELEPHONE In phase 1, a contract was awarded to Shannon & Wilson, Inc. (4_) , to develop and demonstrate an instrumentation system that could be wired to a remote data col- lection station for the purpose of cen- trally monitoring the stability and seep- age of one or more coal waste impound- ments. Costs of system installation and long-term monitoring were also deter- mined. Specifically, the instrumentation system was designed to remotely monitor horizontal and vertical deformation, pore-water pressure changes, pond-water levels, seepage through the embank- ment, and environmental factors such as rainfall, temperature, and barometric pressure. Description of Work. Factors considered in site selection were — 1. Location in a populated area with high precipitation rates. 2. Some certainty of measuring parame- ter changes such as deformation, water pressure, and fluid levels. 3. Height of structure in the range of 100 to 200 ft. 4. Cooperation of mine owner and per- mission to use the waste impoundment. 5. Electrical power and telephone available close to site. These particular factors were selected on the basis of the project requirements, the cost estimates made in the proposal, KEY Recorded profile True surface << <$ Shadow area v Recorded point Profile by study technique ^r Maximum 25' spacing ^Y^^\r%r^\r^" Profile by recommended technique FIGURE 10.— Typical surface prof»« r<- sparing 100ft grid to favorable point readings. . 20 and the ability to best demonstrate the full capabilities of a remote monitoring system. The site selected was the Lower Big Branch Impoundment at Montcoal, WV, oper- ated by ARMCO Material Resources. It is a cross-valley coarse refuse embankment impounding about 5 acres of fine coal refuse slurry pumped 1 mile from the No. 7 Mine preparation plant (fig. 11). Its height was about 190 ft (1,120-ft eleva- tion) and will eventually be raised to 1,175-ft elevation. The Lower Big Branch Creek has been relocated to the south side of the impoundment and flows into March Fork Creek, which occupies the val- ley directly below the embankment. The topography of the area is relatively steep with heavily wooded hillsides. The local geology is composed of interbedded layers of sandstone, shale, and coal. Equipment and Instrumentation Available instrumentation was evalu- ated and selected for its capability of monitoring various parameters, its suit- ability to long-term measurements, and whether or not it was an electrical sen- sor amenable to automatic remote monitor- ing. A complete remote instrumentation system for monitoring the stability of a waste embankment was designed (fig. 12). Final instrumentation installed in the embankment included 7 vibrating wire pi- ezometers, 2 resistance piezometers, 3 biaxial tiltmeters (2 sensors each), 3 multiple-position borehole extensometers ' — p — p— p— P __ Scale, ft LEGEND v///) Coarse coal refuse embankment area # New Shannon and Wilson boring O Existing borehole and piezometer — t— Telephone line — c— Trenched cable — p— Electrical power line FIGURE 11.— Lower Big Branch impoundment site plan. HM Parameter - Sensors Sig nal conditioning J and power Data acquisition and control device Communication link Off-site central station data monitoring and analysis facilities (in Seattle) 21 Piezometer Piezometer pond level Deformation tilt Rainfall seepegc extensometer Air temperature V ibr at ing- wire gaugos Resistance strain gaiyt itch box Inclinometers, accelerometerv and tilt meters External signal conditioner Potentiometers Sensor power supply Thermocouple Precision supply voltage A n a I o g-t o- digital converter Analog acquisition A ^- D c nversion Linearization and conversion to engineering units Digital acquisition Data output I I Input g a *. j < parameters schedule alarm demand I On-site pr -^VOV^TV Telephone lint Central station modem. 1 ■ ■ 1 Terminal Computer ' , , 1 i 1 1 Printed output Plotted output Off-line storage FIGURE 12.— Block diagram of remote instrumentation system. (1 with 4 sensors, 2 with 2 sensors each), 1 uniaxial in-place inclinometer with 8 sensors, 1 fluid-level-monitor- ing device to measure seepage at the weir, 1 barometer, 1 rain monitor, and 2 thermocouples, for a total of 21 instru- ments and 37 sensors (table 4, figures 13-14). These instruments (figs. 15-17) were connected via two junction boxes (fig. 18) and buried cable to the auto- matic data acquisition system (DAS) located in a trailer at the test site. The DAS consisted of power conditioning equipment, a signal conditioning unit, and an Acurex Autodata 9 data logger con- nected to the telephone. Data were re- corded automatically at the site on paper tape and on request at the contractor's office via the telephone. The pond level sensor initially installed in the up- stream impoundment was destroyed early in the program when it was covered with coarse refuse as the embankment was being raised. Other instruments and data ac- quisition systems are discussed and com- pared in the report (4^» The goals of the field monitoring weie to collect -sufficient data to determine 22 TABLE 4. - List of sensors and locations Sensor, manufacturer, and model number Sensor No. Seri No. al Borehole location Elevation, ft Depth, ft Extensometer , multiple-position borehole, Slope Indicator, model 51891. Fluid-level-monitoring device, Leupold & Stevens, model A-71. Inclinometer, uniaxial in place, Slope Indicator, model P/N50432. Piezometer, electrical resistance, Slope Indicator, model P/N 56442. Piezometer, vibrating wire, Irad Gage Co., model PW-100. Pressure transducer, Setra, model 250. Rain monitor, Leupold & Stevens, model A-71. Thermocouple, Pyrometric Service, model type "T" thermocouple. Tiltmeter, biaxial, Slope Indica- tor, model P/N50327-1. Tiltmeter, biaxial, Terra Technol- ogy, model 85-2032. MPBX-l(l) MPBX-1(2) MPBX-1(3) MPBX-1(4) MPBX-2(1) MPBX-2(2) MPBX-3(1) MPBX-3(2) Weir II-l II-2 II-3 II-4 II-5 II-6 II-7 II-8 RP-1 RP-2 Pond level sensor VWP-1 VWP-2 VWP-3 VWP-4 VWP-5 VWP-6 VWP-7 Barometer NA TC-1 TC-2 TM-3(A) TM-3(B) TM-l(A) TM-l(B) TM-2(A) TM-2(B) L.P. L.P. L.P. L.P. L.P. L.P. L.P. L.P. 1 3 4 5 7 6 10 8 98172 021 020 022 019 017 016 018 015 41107 41109 41108 14-2 14-7 14-6 14-9 14-3 14-8 14-1 24174 91871 NA NA NA NA 101 101 102 102 B-9 B-9 B-9 B-9 B-15 B-15 B-6 B-6 C 1 ) B-5 B-5 B-5 B-5 B-5 B-5 B-5 B-5 B-l B-7 C 1 ) B-4 B-l B-3 B-7 B-12 B-13 B-14 ( 2 ) ( 2 ) ( 2 ) ( 2 ) B-8 B-8 B-ll B-ll B-10 B-10 978.8 1,010.5 1,044.9 1,098.5 942.9 1,042.6 946.7 1,043.7 NAp 985.1 993.1 1,001.1 1,009.1 1,017.1 1,025.1 1,033.1 1,041.1 942.7 1,013.8 1,105 1,015.2 943.8 1,002.7 1,015.0 942.8 930.5 920.0 1,085 NAp NAp NAp 1,118.8 1,118.8 1,118.0 1,118.0 1,119.3 1,119.3 140.7 109.0 74.6 21.0 176.3 76.6 171.5 74.5 NAp 134.2 126.2 112.2 110.2 102.2 94.2 86.2 78.2 176.9 105.2 NAp 104.6 175.7 117.0 104.0 139.0 125.7 73.2 NAp NAp NAp NAp 2.0 2.0 2.0 2.0 2.0 2.0 NA Not available. NAp Not applicable. ^ee figure 11. 2 At instrument trailer. 23 Overflow decant area 1 , 1 3 6 - f t - e le v a t i o n bench B-6 (MPBX-3) B-7 (VWP-4 and RP-2) nr u '*»"P^-»«»"uni o n a VWP-2 and RP-1 VWP-4 and RP-2 MPBX-3 TM-3 Bench elevation 1,120 ft 1,10 - _ 1,000- < > Ul HI 900 1 200 30 4 DISTANCE, ft 5 6 7 LEGEND iln-place inclinometer with sensor locations (II) ! Inclinometer casing for traversing probe (Tl) ■i Multiple-position borehole extensometer ^ with anchor locations (MPBX) i Vibrating wire piezometer or resistance piezometer (VWP or RP) B Tiltmeter (TM) FIGURE 14.— Cross-section instrumentation location. Derived in part from 1978 D'Appolonia report entitled "Modifica- tion to Existing Coal Refuse Disposal Facility, Lower Big Branch, Montcoal Raleigh Co., WV." (3) o o ° o o s\ r Coarse coal refuse .•-•.. Fine coal refuse Mixed coarse m and > fine refuse Approximate top of rock 25 Steel lid 77Hfl~~ Corrugated metal pipe cover Portland cement and +-■. lime grout backfill Minimum 6-in boring Four grooves equally spaced Section A-A' Grout valve FIGURE 15.— In place inclinometer installation. 26 77m \ Backfilled cable trench 1-to 2-ft-thick bentonite seal Sand or pea gravel backfill Corrugated metal pipe cover Site material backfill or grout Water-filled open standpipe Minimum 4-in-diam borehole S Tf 2-in PVC casing slotted over lowermost 3 ft and wrapped with filter fabric Electrical piezometer sensor -.'■f Bottom cap FIGURE 16.— Piezometer installation. MMM 27 FIGURE 17.— Tiltmeter installation. Data were to be collected at 1- or 2-day Intervals. However, owing to various problems with the data logger, data had to be collected manually by calling the site to activate the instruments and take readings. Other problems included downed telephone lines, loss of the source of power from a nearby mine (a generator was substituted for a short time), damaged or nonfunctioing equipment, and site con- struction and maintenance activity. The data were processed by a DEC PDP 11/34 minicomputer and plotted with pro- grams written specifically for this par- ticular sensor configuration. Results Complete data and results of this study are described in more detail in the con- tract report (4). Significant factors noted were — FIGURE 18.— Electrical cable junction box. the applicability and reliability of the system, to provide typical embankment data and some site-specific data, and to provide precursory data in case of an in- stability developing in the embankment. 1. Despite numerous disruptions in the monitoring process which made it dif- ficult to obtain long-term continuous data (fig. 19), several events could be observed: A. Consolidation appeared to be occurring as the embankment was raised from the 1, 120-f t elevation to the 1,175- ft elevation and as the pond extended several hundred feet upstream. B. A 1. 1-in deflection occurred at an elevation of 1, 043 ft in the fine refuse in the embankment, probably owing to the additional fill added to the embankment. C. Pore-water pressures within the embankment remained relatively constant throughout the test. The piezometer lev- els ranged from 15 ft above bedrock in the old portion of the embankment to about the fine-coarse coal interface at 1, 035-f t elevation. 2. An approximate cost analysis for the system indicates that an automatic system is justified if the impoundment is monitored three times a week for 8 yr (table 5, figure 20). A manual system 28 Ground surface elevation 1,119 ft T^SV 1.0 6 5 Mixed coarse and fine refuse 1,035 ft * 1,035 Fine refuse 1,055 CO 1.045 n £ 1,025 Tip elevation * — 1,014 ft TTiitf ^ O r 1.015 > LU _l 1,005- LU 995 - 985 l i i i i — i — i — i — i — i — r KEY o Water level indicator (manual ) o Vibrating- wire piezometer \i .c VWP-4 A Resistance piezometer RP-2 J I I JJASONDJFMAMJ JASONDJFMAMJ 1979 1980 1981 TIME FIGURE 19.— Water levels for piezometer B-7. TABLE 5. - Cost analysis of manual and remote monitoring systems (1982 costs) (4) Cost item Manual 1 Automatic System design < Capital (equipment, instruments, cable, etc.). Installation labor Subtotal installation costs , Maintenance costs Monitoring labor, per set 2 , Data processing labor, per set 2 Data processing labor (1st year only)^ , Data interpretation $10,000 62,000 60,000 per year. .per year. 132,000 2,000 116 58 NAp 10,000 $20,000 85,000 73,000 178,000 20,000 15 NAp 5,000 10,000 NAp Not applicable. ^Manual costs calculated from automated system costs. 2 Based on labor rate of $29/h. ^No data processing labor costs after initial year of operation. NOTE. — All costs based on 37-sensor system. 29 would be economical for less frequent monitoring. A large number of instru- ments were used for this project to determine possible installation prob- lems and the long-term reliability of the various instruments on the market. Costs in a real situation would be lower be- cause only three to six instruments would be required. PHASE 2. - IN SITU INSTRUMENTATION WITH SATELLITE TRANSMISSION OF DATA In phase 2, a contract was awarded to Energy, Inc. (_7_), to demonstrate a self- contained satellite communication link and data collection platform (DCP) that remotely monitored the stability and seepage instrumentation located on the coal waste embankment at the Armco No. 7 coal mine, Montcoal, WV. The costs, ease, and accuracy of data transmission, ir < LU >- cc w a. v> (3 z Q < HI cc li. o V) I- w w cc LLI CO z 400 300 - 200 100 200 300 400 500 TOTAL COST, 1 3 dollars 600 FIGURE 20.— Monitoring costs as a function of number of readings. Costs based on 37-sensor system with a total life of 8yr. and maintenance and instrumentation prob- lems of phases 1 and 2 were compared. Description of Work Because the instrumentation from phase 1 was already in place on the embankment, only the data collection and transmission system had to be selected and installed on-site, together with the instrument in- terface circuitry. The GOES East satel- lite was selected to relay data from the test site DCP to the user's terminal via the Command and Data Acquisition Station (CDA) and the Data Collection System-Data Processing System (DCS-DPS). The data were then reduced and plotted for study. Equipment and Instrumentation A Sutron 8004B DCP was selected because of its low power consumption, 16 analog or digital parameter inputs, and avail- ability. Additional equipment included a 12-V storage battery, two Solarex 4200EG solar panels, and a six-element Yagi an- tenna. The DCP, solar panels, and anten- na were mounted on a support pole with the solar panels aligned for optimum solar illumination supply (fig. 21) and the antenna aligned with the GOES East satellite. The previously installed instrumenta- tion continued to monitor the coal waste embankment and its environmental charac- teristics. However, technical difficul- ties limited the final setup to 10 in- struments of 3 types — the weir, the rain gauge, and 3 multiposition borehole extensometers (1-4, 2-2, 3-2) — plus a thermocouple. A vibrating wire piezome- ter had also been planned, but the inter- face was continually nonfunctioning owing to line transient damage. To make this a completely self-con- tained communication system, the data had to be transmitted via satellite to a re- ceiving station. For this purpose the GOES East satellite was selected. It is 30 FIGURE 21.— Data collection platform, solar panels, Yagi antenna. 31 operated without charge by the National Oceanic and Atmospheric Administration- National Earth Satellite Service (NOAA- NESS) (_5) for the acquisition of envi- ronmental data, provided that the data can be disseminated to other interested parties. The system data flow consisted of four major subsystems: (1) sensor data collection, (2) data transmission from the DCP to GOES, (3) data retrieval from GOES and storage by NOAA-NESS, and (4) dissemination and processing of re- trieved data. The DCP received and stored data from the various analog sensor data lines on a preprogrammed collection interval. Data transmission to the GOES satellite oc- curred on a specific NOAA-NESS allocated channel frequency in a self-timed trans- mission mode at 4-h intervals. The GOES satellite in turn transmitted to the CDA station ground equipment, which decoded the data and checked for errors. The data were then transmitted via condi- tioned leased lines to the DCS-DPS, which acted as a central data distribution fa- cility by storing the data in user queues and providing the user with interfacing for data requests. The user acquired the data from the DCS-DPS via a standard telephone link (fig. 22). Data from the DCS-DPS were reproduced as hard copy and manually reduced, until the programming for the automated data dissemination could be completed for the Chromatics GG1999 computer. Completion Data transmission from DCP GOES (East) ^y User site 300-bps MODEM and data processing equipment 1 CDA and DCS- DPS 1 @ Retrieval and @ Dissemination storage of data and processing of by NOAA-NESS retrieved data (T) Data collection from sensors FIGURE 22.— System data flow. 32 of this task allowed for data storage on 8-in floppy disks from which graphs could be plotted in engineering units. Results Complete data and results of this study are described in more detail in the con- tract report (]_)• Although data collec- tion systems consisting of the DCP satel- lite and ground station receivers have been widely used to successfully monitor environmental conditions (rain, wind, and temperature) for flood control and on buoys at sea, their use for monitoring embankment instrumentation had never pre- viously been documented. Major findings included — 1. The reliability of the system was very high. The DCP required no preven- tive maintenance, and trips to the site in the event of a failure were rare. Data transmission had an error rate of 0.31%, mostly due to a duplicate channel frequency time slot assignment. Other- wise, the error rate would have been 0.0635%. 2. Though the initial cost of the sys- tem is high (table 6), it is still lower than that of the phase 1 system; also, the system is easier to operate and main- tain, and it requires neither power lines or' telephone lines into the site nor a building to house the DAS. Therefore, solar-powered data collection is a reli- able and cost-effective method to monitor sensors at a remote waste embankment site. 3. Great care must be taken in select- ing the site sensors and placing them in the embankment. This appears to be the limiting factor in the use of this sys- tem, and the major reason for downtime and the limited amount of data collected. The tiltmeters, inclinometer, and piezom- eters were difficult to maintain over a long-term period, in part because these were electrical instruments working in a harsh environment and in part because the impoundment was in a continual state of construction and maintenance. RECOMMENDATIONS—PHASES 1 AND 2 As a result of the data compiled in phases 1 and 2, there are five recommen- dations with regard to the overall system and its geotechnical instrumentation: 1. The system should be flexible enough to accept a number of different sensor types. 2. Further development in geophysical instruments is needed, specifically in inclinometers, tiltmeters, extensometers, and piezometers, to make them more reli- able, cheaper, and easier to install and maintain. 3. A standard remote monitoring system applicable to coal and metal and nonmetal waste impoundments and embankments should be developed. 4. Satellite data transmission should be investigated if more than 10 sites are to be instrumented. 5. This method of remote data collec- tion could be used by MSHA, mining com- panies, or public utilities to centrally monitor the stability of one or more im- poundments. It would be most effective either in populated areas with high over- all precipitation rates or local periods of sudden extreme precipitation rates (hazardous situations), or In remote areas where travel to and from a site is difficult. The system could act as an early warning device by monitoring pres- sure changes and movements within an em- bankment caused by rising water levels. It would provide more frequent readout of coal waste impoundment stability and en- vironmental factors and would also aid in inspection and control of other dispo- sal sites such as metal and nonmetal waste embankments or even city reservoir impoundments. ^^■■■^^^^■■i 33 TABLE 6. - Cost comparison of satellite and telephone data transmission (1984 costs) (7) Cost item Unit cost Number of units Total cost Satellite system: Data collection platform DCP hand terminal Environmental enclosure Yagi antenna Antenna cable Solar panels Power supply cable Batteries (100 A'h) Wattmeter and load coil Interface for biaxial sensors Total for satellite system Telephone system: Autodata 9 Signal conditioner kC power conditioner and filtering with temper- ature sensor and delay AC power conditioner Anixter-pruzan metro tele PL1-2-2 I/F device... Autodialer Te lephone modem Power line installation and lease 3 Telephone line installation and monthly mainte- nance cos t 1 * Trailer installation and monthly rental cost... Total for telephone system 2 20- $3,725 630 220 195 55 299 28 130 250 3,000 NAp 14,591 4,320 1,985 439 123 167 570 NA 100 100 NAp_ NAp $3,725 630 220 195 55 598 28 260 250 3,000 8,961 NA 112 112 NAp 14,591 4,320 1,985 439 123 167 570 NA 240- 1,200 1,200 23,635-24,595 NA Not available. NAp Not applicable 112 months. 2 Plus costs of power line installation and lease. 3 In the case of this project this system was already in place; the was not included. ^Costs can vary according to length of telephone lines and weather, feet maintenance needs. refore the cost which can af- SATELLITE IMAGERY A contract was awarded to Science Sys- tems and Applications, Inc. (2), to eval- uate the potential for using digital Landsat satellite data (fig* 23) for de- tecting active metal, nonmetal, and coal waste and tailings disposal sites to up- date acreage and land use information previously collected for mine waste em- bankment inventories (2). DESCRIPTION OF WORK Four mine waste disposal sites were se- lected: a Florida phosphate strip mine, an Arizona open pit copper mine, an Idaho underground silver mine, and a West Vir- ginia underground coal mine. The crite- ria for choosing these mine sites were — 34 Command's tracking Earth-based DCS sensing platforms telemetry, tracking data, payload video data NASA Landsat project otlice Remote ground receiving sites Goldstone (USB) NTTF (USB) Alaska (USB and VHF) Backup USB stations Backup VHF stations Orbit Commands DCS, TLM, TRK G determination ■* 1 Command! N A SC O M DCS , TLM Ground data handling system Operations control center Image processing facility Payload video tapes mailed from Alaska and Goldstone or direct from NTTF EROS data center DCS EDC EROS G SFC MS S NASA KEY Data collection system EROS Data Center Earth Resources Observation Systems Goddard Space Flight Center Multispectral scanner National Aeronautics and Space Administration NASCOM NASA communications network NTTF Network Test and Training Facility Return beam vidicon Telemetry Tracking Upper sideband Very high frequency FIGURE 23.— Overall Landsat system. Source Landsat Data Users Handbook. (9) 1. An active surface or underground coal, metal, or nonmetal mining operation producing more than 500 st ore per day. 2. A diverse set of climatic condi- tions (wet, dry, moderate) because these could have different effects on the de- tectability of mine waste areas. 3. Topography because of its effect on the size and type of disposal sites available to mining operations in differ- ent parts of the country. 4. The ability to visit a selected site. 5. Ease of obtaining aerial photogra- phy and accompanying Landsat data; these can be affected by cloud cover, sun angle, season, currency of the informa- tion, and how closely the dates could be matched for the two types of data. 6. Availability of updated topographic maps. 7. Availability of road maps. 8. Availability of USGS orthophoto- quadrangle maps. Based on the site selection data, the chosen sites ranged from a valley fill in West Virginia to a flat diked embankment in Florida to a terraced embankment in Arizona. Other mine waste sites were also located nearby for signature exten- sion testing. This technique was used to MBMBM MM 35 check that the procedures used to study one site could be extended to other mine sites in the same locality. Selection of aerial photography and Landsat data was based on the image qual- ity of the data, the time of year, the time of day, and the degree of cloud cov- er. Most important was the need for re- cent coverage (after Feb. 1, 1979) be- cause of site changes at active mine locations. Also necessary was the avail- ability of at least same-year coverage by both aerial photography and Landsat, pre- ferably as close together chronologically as possible. EQUIPMENT AND PROCEDURES Digital data from the Landsat satellite multispectral scanner (MSS) and the Gen- eral Electric Co.'s IMALE-100 system in GE's Digital Image Analysis Laboratory (DIAL) in Lanham, MD, were used to deter- mine the capability of various image- processing techniques to monitor the waste sites. These techniques and clas- sification methods improve the visual appearance of the image and accentuate selected features. For this study, piecewise linear contrast stretching, edge and color enhancement, and normal- ized and simple ratio techniques were used. Means and standard deviation were obtained for the land-use categories (waste, water, active, inactive, re- claimed) by using the raw data, enhanced by two-dimensional axis rotation, Hada- mard transformation (HT), and principal- component analysis. Change detection techniques were used in the Florida phos- phate region to determine their useful- ness for noting changes occurring at the site during a specified time. Each test site had four or five land- use categories, depending on the nature of the tailings and the site itself. Data analyses then consisted of comparing the various land-use categories with four classification methods using means and standard deviation, pixel count and area estimates, a classification matrix (pixel count), and classification accuracy. The Florida phosphate mine waste test site was 40 miles east of Tampa, FL, in an area of extensive mining. Landsat scenes for February and December 1979 and aerial photos for January and December 1979 were used to study an area of 7,607 ha (fig. 24). The change detection studies used image differencing to note changes at the site (figs. 25-26). The greatest number of changes were noted in the active waste disposal areas in the expansion of dry waste areas and changes in the water areas. Table 7 shows the classification accu- racies of the methods used in studying the Florida phosphate mining site. From this table and from details given in ref- erence 2, it is evident that the HT meth- od can classify all the land-use catego- ries, but its accuracy was poor for the "active mining" category (51%) and only fair for the "waste" category (63%). Ex- cept for the "waste" category, the raw data method classified all categories with better than 50% accuracy. The prin- cipal component analysis method was more accurate for land-use categories other than "waste" and "reclaimed." Scale, miles LEGEND A Active P Processing plant BG Bare ground R Reclaimed H Waste water V Vegetation / Inactive W Waste FIGURE 24.— Fort Green, FL, study area: derived from aerial photography. 36 1 1 2 l l 3 I Scale, miles LEGEND ■ Changed areas □ Unchanged areas FIGURE 25.— Fort Green, FL, study area: automated change detection. Two tailings areas were studied at cop- per mines in Arizona: one at Hayden and one at Miami. A Landsat scene for July 19,79 and aerial photos for April 1979 and February 1980 were used to study areas of 500 ha at Hayden and 2,000 ha at Miami. The classification accuracy tables (table 7) for each site showed that the overall accuracies for all classification methods were not very good. For the Hayden site, simple and normalized ratio methods worked best, while for the Miami site the raw data and HT methods were the best. The waste embankments from two Coeur d'Alene silver mines in Idaho were also used for this study. Data from these em- bankments were combined since one of the embankments was too small for individual analysis. Landsat scenes for June 1979 and aerial photos for July 1980 and August 1977 created inconsistencies due to the large time interval between the dates. The most accurate method for this study area (table 7) was two-dimensional axis rotation; tailings and water were Scale, miles LEGEND H Changed areas Unchanged areas FIGURE 26.— Fort Green, FL, study area: manually inter- preted. the most inconsistently classified cate- gories owing to their spectral reflec- tance complexity. A West Virginia coal mine having a 9.7- ha, valley-fill waste embankment with a water impoundment was selected for the coal waste test site. Landsat scenes for July 1980 and aerial photos for April 1980 were used for the study. The raw data method (table 7) was the most accu- rate classification method for this site. RESULTS Complete data and results of this study are described in more detail in the con- tract report (2) . The most significant factors were — 1. No single automated digital image processing technique would work consis- tently and accurately at each site. The wide range of waste materials at a site, the use of processed wastes for construc- tion of roads and fill, color variations 37 TABLE 7. - Classification accuracy of methods used to study five waste areas, percent (2) Land-use category Raw data Sample ratio Normalized ratio 2-D rotation Hadamard transform Princi nent pal compo- analysis FLORIDA PHOSPHATE MINING AND WASTE AREA Waste Water Active mining Inactive mining... Reclaimed 21.0 86.0 55.9 68.8 86.9 NAp NAp NAp NAp NAp NAp NAp NAp NAp NAp 50.1 94.8 44.4 63.2 62.7 75.9 51.0 81.1 60.0 49.1 91.2 66.1 85.3 COPPER MINING AND WASTE AREA, MIAMI -CLAYPOOL, AZ Light tailings. Dark tailings.. Waste rock...... Water 67.9 43.3 26.7 75.8 41.3 79.0 12.2 56.2 40.6 43.5 49.5 71.1 66.8 52.2 14.8 66.3 67.3 23.3 45.1 69.5 71.7 6.4 22.4 67.7 COPPER MINING AND WASTE AREA, HAYDEN, AZ Dark tailings. Water 55.6 68.1 64.5 66.6 60.0 52.8 72.9 98.6 100.0 74.3 75.7 70.0 IDAHO SILVER MINING AND WASTE AREA 25.0 77.1 100.0 70.1 90.3 81.6 51.4 78.3 61.2 80.8 66.3 62.9 73.9 67.2 83.9 85.2 100.0 84.8 80.6 95.1 11.7 74.3 76.1 59.7 79.2 74.5 Slae 97. 1 78.3 61. 2 89.1 WEST VIRGINIA COAL MINING WASTE AREA 89.5 88.9 80.7 66.7 84.2 55.6 89.5 66.7 75.4 55.6 56. 1 55.6 NAp Not applicable. in the ponds and embankments due to the mining of different ores as well as vary- ing moisture content, and reflectance variance in the ponds themselves due to silting or depth all contribute to creat- ing a complex and dynamic environment. The subtle differences that result make it difficult to extend a signature from one mine site to another. 2. It is not possible with current state-of-the-art digital processing tech- niques to inventory mine waste embank- ments on a national basis using satellite imagery. RECOMMENDATIONS Based on the results from this satel- lite imagery study, the following recom- mendations are made: 1. Use of digital data from the ther- matic mapper in Landsat 4 could be more useful because the mapper has a higher resolution. 2. Manual interpretation of enlarged Landsat images used in conjunction with auxiliary information might be a use- ful supplement to updating mine waste inventories. SUMMARY AND CONCLUSIONS This report summarizes five contracted projects dealing with remote sensing of coal waste embankments. Three different forms of remote sensing were studied: aerial monitoring, remote data transmis- sion from in situ instrumentation, and satellite imagery. Aerial monitoring study 1 investigated the use of aerial photography and phot ogramme try on an actively moving landslide and on two coal embankments. Survey targets were installed on the moving face, and subse- quent photoreconnaissance measured the targets' movements. Aerial monitoring 38 study 2 investigated the use of survey targets installed off the embankment faces of 15 coal waste sites in West Vir- ginia and Kentucky. Placing the targets off the active areas of the embankments required more complex equipment and data analyses but protected the targets from incidental movement and destruction. Phase 1 of in situ instrumentation inves- tigated the use of internally emplaced instruments to monitor embankment con- ditions and transmitted the data by telephone to another geographic region. Phase 2 used the same internally instru- mented embankment but transmitted data through a satellite link to a receiving station which then could be accessed by telephone. Satellite imagery used digi- tal Landsat satellite data to evaluate active coal, metal, and nonmetal waste sites to update mine waste embankment inventories. In aerial monitoring study 1 it was found that the costs of such a monitoring technique were up to three times those of existing conventional inspections. How- ever, the benefits of having objective documentation, such as aerial photographs or photogrammetric maps, produced over a period of time could not be estimated. Because the targets were located within the area under study, they proved suscep- tible to incidental movement, damage, or loss. Aerial monitoring study 2 differed from study 1 in the placement of the targets and the mode of calculating movement. The targets were placed outside the area of interest, and computer-aided stereo- plotters were used to measure move- ment on the embankment. This protected targets from damage and loss due to inci- dental movement or construction activ- ity. The disadvantage of placing the target off the active area proved to be decreased visibility due to snow and growing vegetation. The cost of this technique was estimated to be 17% to 30% higher than existing inspection costs. In in situ instrumentation, phase 1 featured remote data collection by telephone. This project suffered numer- ous disruptions caused by local power failures and downed telephone lines. Cost estimates for such a technique, in- cluding internal instrumentation in the embankment consisting of 37 sensors, ranged from $144,174 for a manually read system to $213,015 for an automatic system. Phase 2 used the same internal instru- ments and embankment as phase 1, but the data were relayed via satellite to a re- ceiving station which was then accessed by the user via telephone. The solar- powered data collection platform, the satellite antenna, and the use of the satellite to relay data proved very reliable. Costs to install a satellite system equalled $8, 961, compared to $24, 595 for a telephone system. These estimates did not include costs for the system design and the embankment instru- ments or their installation, and access to the satellite was free. Mine waste location by satellite imag- ery was an ineffective means to update mine waste inventory data. At the time of the study, satellite sensors were not sufficiently sensitive to detect color changes due to differing mineral composi- tions at the various waste locations. The remote sensing techniques studied could be used to supplement existing mon- itoring efforts and to provide visual, historical documentation. Aerial photog- raphy can be used to characterize the overall conditions at the embankment sur- face (seeps, slumps, fire, drainage ef- fectiveness, etc. ). Use of aerial pho- togrammetry can quantitatively document surface movement over time. This could be especially useful in determining em- bankment creep or swelling, or in esti- mating volume. Internal embankment con- ditions can be closely monitored using in situ instrumentation (extensometer, piezometer, inclinometer, thermocouple, etc. ) in conjunction with the GOES satel- lite. It would then be possible to initiate internal embankment readings and to transmit instrument data whenever needed. REFERENCES 39 1. American Society of Photogrammetry (Falls Church, VA). Manual of Remote Sensing. V. 1-2, 1975, 2144 pp. 2. Anuta, M. A., and 0. P. Bahethi. Mine Waste Location by Satellite Imagery (contract J0208030, Science Systems and Applications, Inc. ). BuMines OFR 134-83, 1982, 100 pp.; NTIS PB 83-238519. 3. Campbell, P. M. , and R. G. Almes. Modification to Existing Coal Refuse Dis- posal Facility, Lower Big Branch, Mont- coal, Raleigh Co., WV. D'Appolonia Con- sulting Engineers, 1978, 23 pp. 4. Green, G. E., and D. A. Roberts. Remote Monitoring of a Coal Waste Im- poundment in West Virginia (contract H0282041, Shannon & Wilson, Inc. ). Bu- Mines OFR 79-83, 1982, 175 pp.; NTIS PB 83-196584. 5. MacCallum, D. H. , and M. J. Nestle- bush. The Geostationary Operational Environmental Satellite Data Collection System. NOAA Tech. Memo. NESDIS, 1983, 49 pp. 6. Meisher, R. A., and R. L. Hoffman. Improving Surface Coal Refuse Disposal Site Inspections (contract J0188027, Chi- cago Aerial Survey). BuMines OFR 54-81, 1980, 297 pp.; NTIS PB 81-215402. 7. Prokoski, F. J. , J. T. Byrne, and D. J. Bryant. Satellite Monitoring for a Coal Waste Embankment (contract H0212017, Energy, Inc. ). BuMines OFR 102-85, 1984, 100 pp. 8. Roth, L. H. , J. A. Cesare, and G. S. Allison. Rapid Monitoring of Coal Refuse Embankments (contract H0262009, CH2M Hill). BuMines OFR 11-78, 1977, 113 pp. ; NTIS PB 277 975/AS. 9. U.S. Geological Survey. Source Landsat Data Users Handbook. Revised edition, 1979. BIBLIOGRAPHY Ahmad, M. V. , D. A. Kanter, and J. W. Antalovich. Mapping of Spoil Banks Using ERTS-A Pictures. Paper in Remote Sensing of Earth Resources, ed. by F. Shahrokhi (Proc. 2d Conf. on Earth Resources Obser- vation and Information Analysis Systems, Tullahoma, TN, Mar. 26-28, 1973). Univ. TN Space Inst., v. 2, 1973, pp. 1073- 1093. Alexander, S. S., J. Dien, and D. P. Gold. The Use of ERTS-1 MSS Data for Mapping Strip Mines and Acid Mine Drain- age in Pennsylvania. Paper in Proceed- ings of Symposium on Significant Results Obtained From ERTS-1 (Goddard Space Flight Center, New Carrollton, MD, Mar. 5-9, 1973). NASA SP-327, v. 18, 1973, pp. 569-576. Albright, J. N. , P. M. Halleck, C. Pearson, and M. Fehler. Subsurface Subsidence Damage Monitoring: Seismic Tomography and Microgravimetry. Paper given at workshop on Surface Subsidence due to Underground Mining, Morgantown, WV, Nov. 24, 1981, unpublished, CONF- 811173-2, 9 pp.; NTIS PC A02/MF A01, DOE DE82010395. Alger, L. H. , P. W. Mausel, and R. R. Herner. Identification of Surface-Dis- turbed Features Through Isursl Non-Para- metric Analysis of Landsat MSS Data. Pa- per in Machine Processing of Remotely Sensed Data (5th Annu. Symp., Purdue Univ. , West Lafayette, IN, June 27-29, 1979). IEEE (Cat. No. 79CH1430-8 MPRSD), New York, 1979, pp. 172-182. 40 Amato, R. V., 0. R. Russell, C. E. Weir, and F. J. Wobber. Application of ERTS-A Imagery to Fracture Related Mine Safety Hazards in the Coal Mining Indus- try. Coal Sec, Indiana Geol. Surv. , Bloomington, IN, ERTS Prog. Off., NASA Goddard Space Flight Center, Greenbelt, MD, Rep. NAS5-21795, Jan. -July 1973, 136 pp. ; NTIS N73-27252. American Society of Civil Engineers. Recent Developments in Geotechnical Engi- neering for Hydro Projects: Engineering Geology Aspects, Rock Mechanics Studies and Embankment Dam Instrumentation. New York, 1981, 250 pp. Anderson, A. T. Evaluating the Envi- ronmental Effects of Past and Present Surface Mining - A Remote Sensing Applied Research Review. Paper in Proceedings of the Fourteenth International Symposium on Remote Sensing of the Environment. Envi- ron. Res. Inst. MI, Ann Arbor, MI, v. 1, Apr. 1980, pp. 275-278. Anderson, A. T. , D. T. Schultz, and N. Buchman. Landsat Inventory of Sur- face-Mined Areas Using Extendable Digital Techniques: Monitoring Surface Mines From Space. Final Report, NASA/Goddard Space Flight Center, Greenbelt, MD, June 30, 1975, 44 pp. Anderson, A. T. , D. Schultz, N. Buch- man, and M. Nock. Satellite Data for Surface-Mine Inventory. Photogrammetry Eng. and Remote Sensing, v. 43, 1977, pp. 1027-1036. Anderson, A. T. , and J. Schubert. ERTS-1 Data Applied to Strip Mining. Photogrammetry Eng. and Remote Sensing, v. 42, 1976, pp. 211-219. Aronoff, S., G. A. Ross, and W. A. Ross. Environmental Monitoring of the Athabasca Oil Sands Using Landsat Data. Photogrammetria, v. 38, Oct. 1982, pp. 77-86. Bailey, D. J. Land Movement Monitoring System. Bull. Assoc. Eng. Geol. , v. 17, No. 4, 1980, pp. 213-221. Ballew, G. Alteration Mapping at Gold- field, Nevada, by Cluster and Discrimi- nant Analysis of Landsat Digital Data. Paper in Proceedings of the Eleventh In- ternational Symposium on Remote Sensing of the Environment. Environ. Res. Inst. MI, Ann Arbor, MI, Apr. 1977, pp. 783- 790. Barr, D. J. Landsat Applications to Surface Mining. Paper in Proceedings of the First International Conference on Computers in Civil Engineering (New York, NY, May 12-14, 1981). ASCE, 1981, pp. 384-396. Bayne, J. N. , and H. Lawrence. Appli- cation of Satellite Data to Surface Mine Monitoring in Selected Counties of South Carolina. BuMines OFR 11-80, 1979, 141 pp. ; NTIS PB 80-144629. Boldt, C. M. K. , and B. J. Scheibner. Application of Remote Sensing for Coal Waste Embankment Monitoring. Paper in Mine Waste Disposal Technology (Proc. Bu- Mines Technol. Transfer Workshop, Denver, CO, July 16, 1981). BuMines IC 8857, 1981, pp. 40-45. Borden, F. Thompson, B. liams. Clas Coal Refuse, Forest Types ERTS-1 Data. Ninth Interna Sensing of Res. Inst. MI pp. 133-151. Y. , B. F. Mermbeck, D. N. J. Turner, and D. L. Wil- sification and Mapping of Vegetative Cover Types, and by Digital Processing of Paper in Proceedings of the tional Symposium on Remote the Environment. Environ. , Ann Arbor, MI, v. 1, 1975, Budge, T. K. Development of an Image Processing System at the Technology Ap- plications Center, UNM: Landsat Image Processing in Mineral Exploration and Re- lated Activities. NM Energy & Minerals Dep., Santa Fe, NM, Final Rep. EMD-78- 1138, Sept. 1980, 73 pp. Butterworths. Field Instrumentation in Geotechnical Engineering. London, 1974, 720 pp. ■m^mbbbm HM M 41 Carneggie, D. M. , and D. 0. Ohlen. A Selected Bibliography: Remote Sensing Techniques for Evaluating the Effects of Surface Mining. Technicolor Graphic Ser- vices, Inc., Sioux Falls, SD, Mar. 1979, 15 pp. Carneggie, D. M. , J. A. Sturdevant, W. G. Rohde, D. 0. Ohlen, C. A. Nelson, J. C. Taranik, J. R. Lucas, and F. C. Billingsley. Assessing the Impact of Surface Mining. U.S. Geol. Surv. Prof. Paper 1100, 1978, pp. 304-305. Chase, P. E. , and W. Pettyjohn. ERTS-1 Investigation of Ecological Effect of Strip Mining in Eastern Ohio. Paper in Proceedings of Symposium on Significant Results Obtained From ERTS-1 (Goddard Space Flight Center, New Carrollton, MD, Mar. 5-9, 1973). NASA SP-327, v. 1, 1973, pp. 561-569. Curtis, E. I. Strategy for Remote Sen- sor Use in Mining, Hydrology, and Pollu- tion Control. Paper in Technology Utili- zation Ideas for the 70's and Beyond (Proc. Spec. AAS-AIAA Tech. Event, Win- rock, AR, Oct. 30, 1970). AAS Sci. Tech- nol. Ser. , v. 26, 1971, pp. 301-315. Earth Satellite Corp. Use of Photo In- terpretation and Geotechnical Data in the Identification of Surface Damage and Subsidence. Apr. 1975, 246 pp.; NTIS, PB 242468. Elifrits, C. D. Study of Subsidence Over a Room and Pillar Coal Mine. Ph.D. Thesis, Univ. MO, Rolla, M0, 1980, 130 pp.; Univ. Microfilms Order No. 81- 02,271. Gilbertson, B. Monitoring Vegetation Cover on Mine Dumps With ERTS-1 Imagery: Some Initial Results. Paper in Proceed- ings of a Symposium on Significant Re- sults From ERTS-1 (Goddard Space Flight Center, New Carrollton, MD). NASA SP- 327, v. 1, 1973, pp. 577-584. Glass, C. E., and R. A. Schowengerdt. Application of Digital Image Analysis to Mined Lands Reclamation. Soc. Min. Eng. AIME, 1979, pp. 16-24. Glass, C. H. , R. A. Schowengerdt, and J. R. Carr. Inventory and Hazards Moni- toring of Mined Lands Using Automated Processing of Satellite Imagery and Col- lateral Data. Office of Surface Mining, Reclamation and Enforcement, Final Rep. MGEN-79-16F, 1980, 115 pp. Gonzales, R. W. , and M. H. Inglis. Re- mote Sensing of Natural Resources. Quar- terly Literature Review, July-Sept. 1980. Univ. NM, Albuquerque, NM, Technol. Ap- plication Center, Report TAX-RS-80-003, 1980. Green, G. , and D. A. Roberts. Remote Monitoring of a Coal Waste Impoundment in West Virginia, (contract H0282041, Shan- non & Wilson, Inc.). BuMines OFR 79-83, 1980, 173 pp.; NTIS PB 83-196584. Hampel, D. Advanced Remote Expendable Sensor/Processing Techniques. Paper in Proceedings, AIAA Sensor Systems for the 80's Conference (Colorado Springs, CO, Dec. 2-4, 1980). AIAA, New York, 1980, pp. 104-108. Hardaway, T. E. Surface Coal Mining in the Northern Great Plains of the Western United States. An Introduction and In- ventory Utilizing Aerial Photography Col- lected in 1974 and 1975. EPA, Rep. EPA/ OEA-76/1, June 1976, 198 pp. Henkes, W. C. Satellite Monitoring of Open Pit Mining Operations. BuMines IC 8530, 1971, 28 pp. Hundemann, A. S. Strip Mining (cita- tions from the NTIS Data Base, v. 2, 1976-Nov. 1979). IL Nat. History Surv. , Jan. 1980, 255 pp.; NTIS, PB-80-803570. Inglis, M. H. Development of a Coal Surface Mine Monitoring Capability Uti- lizing Landsat Satellite Technology. Available from Technol. Application Cen- ter, Univ. NM, Albuquerque, NM, 1980, 39 pp. 42 Inglis, M. H. , H. W. Sheffer, R. J. P. Lyon, and A. E. Prelat. Landsat Monitor- ing of the Navajo Coal Surface Mine. Paper in Proceedings of the American So- ciety of Photogrammetry (Fall Tech. Meet- ing, Albuquerque, NM, Oct. 15-20, 1978). Am. Soc. Photogramm. , Falls Church, VA, 1978, pp. 523-539. Irons, J. R. , H. Lachowski, and C. Pe- terson. Remote Sensing of Surface Mines; A Comparative Study of Sensor Systems. Paper in Proceedings of the Fourteenth International Symposium on Remote Sensing of the Environment. Environ. Res. Inst. MI, Ann Arbor, MI, v. 2, Apr. 1980, pp. 1041-1053. Koerner, R. M. , A. E. Lord, and W. M. McCabe. Remote Sensing Applications for Mine Waste Stability Monitoring Using the Acoustic Emission Method. Paper in Proceedings International Geoscience and Remote Sensing Symposium (Washington, DC, June 8-10, 1981). IEEE Service Cen- ter (Cat. No. 81CH1656-8), v. 1, 1981, pp. 355-359. Krumwiede, D. D. Remote Sensing Appli- cations as Related to Surface Mining. Paper in Proceedings Symposium on Surface Mining Hydrology, Sedimentology and Rec- lamation (Lexington, KY, Dec. 1, 1980). Univ. KY Office Eng. Serv. , 1980, pp. 159-162. Ishikawa, P. , Jr. , and G. A. Shelton. Summary of the Western Energy Overhead Monitoring Project (EPA contract 68-03- 2636, Environ. Monitoring and Support Lab., Las Vegas, NV). EPA Rep. EPA-600/ 4-80-051, Oct. 1979, 38 pp. Johannsen, C. J. , R. W. Blancher, and D. J. Barr. Characteristics of Proper- ties of Strip Mine Spoils as Related to Remote Sensing Measurement (Univ. MO, Columbia Campus Agr. Exp. Station, Dep. Agronomy, Columbia, MO, contract/grant No. 0073683, M000354-1). U.S. Dep. Agri- culture, Cooperative Res. Office, Colum- bia, MO, 1981. Knuth, W. M. , E. L. Fritz, and J. A. Schad. Investigation of Color and Color Infrared Aerial Photographic Techniques for Mining and Reclamation Planning and Monitoring (contract J0155041, HRB- Singer, Inc., State College, PA). Bu- Mines OFR 37-79, 1978, 215 pp.; NTIS PB- 294707. Knuth, W. M. , Jr., and H. B. Charmbury. Remote Sensing Techniques for Analysis of Burning in Coal Refuse Banks. Paper in Proceedings of the First Symposium on Mine and Preparation Plant Refuse Dispo- sal (Louisville, KY, Oct. 22-24, 1974). National Coal Association, Washington, DC, 1974, pp. 38-43. Mamula, N. , Jr. Remote-Sensing Method for Monitoring Surface Coal Mining in the Northern Great Plains. J. Res. U.S. Geol. Surv. , v. 6, No. 2, Mar. -Apr. 1978, pp. 149-160. Marcus, P. M. Remote Sensing Inventory of Mining Activity in the Pennsylvania Anthracite Region. BuMines Research 76, 1976, p. 81. Maxim, L. D. , and D. E. Cullen. Cost Model for Remote Inspection of Ground Sites. Photogramm. Eng. Remote Sensing, v. 43, 1977, pp. 1009-1025. Moik, J. G. Digital Processing of Re- motely Sensed Images. NASA SP-431, 1980, 330 pp. Moore, 0. H. , J. H. Adams, and A. F. Gregory. Mapping Mine Wastes With Land- sat Images. Paper in Proceedings of the Fourth Canadian Symposium on Remote Sens- ing (Quebec, Canada, May 16-18, 1977). Canada Aeronaut, and Space Inst. Rep. A78-433 31943, 1977, pp. 294-304. National Aeronautics and Space Admini- stration (Cleveland, OH). LANDSAT Remote Sensing: Observations of an Appalachian Mountaintop Surface Coal Mining and Rec- lamation Operation. NASA-TM-84194, Oct. 1979, 7 pp. ■■■ ^■■■i 43 National Field Investigations Center. Application of ERTS Technology to the Evaluation of Coal Strip Mining and Rec- lamation in the Northern Great Plains. Denver, CO, Feb. 1975, 120 pp. ; NTIS PB- 255590. National Technical Information Service (Springfield, VA). Strip Mining. 1980- Feb. 1982 (citations from the NTIS Data Base). PB-82-807447, May 1982, 156 pp. Patterson, D. B. , and K. M. Campbell. The Effectiveness of Multi-Date, Multi- Scale Aerial Remote Sensing Imagery for Monitoring Coal Mining Operations and Reclamation Efforts in Alberta. Paper in Proceedings of the Fifth Canadian Sympo- sium on Remote Sensing (Victoria, Canada, Aug. 28, 1978). Canada Aeronaut. and Space Inst., 1979, pp. 165-173. Rehder, J. B. Changes in Landscape Due to Strip Mining. Paper in ERTS-1, A New Window on Our Planet. U.S. Geol. Surv. Prof. Paper 929, 1976, pp. 254-257. Rogers, R. H. , W. A. Pettyjohn, and L. E. Reed. Automated Strip Mine and Reclamation Mapping From ERTS. Paper in Proceedings, Third Earth Resources Tech- nological Satellite-1 Symposium, ed. by S. Freden. NASA Sci. Tech. and Inf. Off., Washington, DC, NASA SP-351, v. 1, sec. B, 1974, pp. 1519-1531. Roth, L. H. , J. A. Cesare, and G. S. Allison. Rapid Monitoring of Coal Refuse Embankments (contract H0262009, CH2M Hill). BuMines OFR 11-78, 1977, 113 pp.; NTIS PB-277975. Russell, 0. R. , V. Amato, and T. V. Leshendok. Remote Sensing and Mine Sub- sidence. Transp. Eng. J. , v. 105, No. 2, Mar. 1979, pp. 185-198. Schreier, H. , and L. M. Lavkulich. Ex- amination of the Overall Relationship Be- tween Spectral Reflectance and Chemical Composition of 58 Mine Tailings Samples. Paper in Proceedings of the Sixth Annual Symposium — Machine Processing of Remotely Sensed Data and Soil Information Sys- tems and Remote Sensing and Soil Survey (Purdue Univ. , West Lafayette, IN, June 3-6, 1980). IEEE (Cat. No. 80CHI533-9 MPRSD), Piscataway, NJ, 1980, pp. 126- 134. Sharber, L. A., and F. Shahrokhi. Ap- plication of Satellite Data in Monitoring Strip Mines. Univ. TN Inst. Space, Re- mote Sensing Earth Resour. , v. 6, 1977, pp. 499-514. Solomon, J. L. , W. F. Miller, and D. A. Quattrochi. Development of a Tree Clas- sifier for Discrimination of Surface Mine Activity From Landsat Digital Data. Paper in Proceedings of the 45th Annual Meeting of the American Society of Photo- grammetry (Washington, DC, Mar. 18-24, 1979). Am. Soc. Photogramm. , Falls Church, VA, v. 2, 1979, pp. 607-613. Tanner, C. E. Computer Processing of Multispectral Scanner Data Over Coal Strip Mines. Lockheed Electronics Co. , Inc., Las Vegas, NV, Mar. 1979, 62 pp.; NTIS PB 80-111677. U.S. Bureau of Mines. Fast Monitoring of Mine Waste Embankments. Technol. News, No. 67, 1979, pp. 1-2. U.S. Environmental Protection Agency, Office of Enforcement. Remote Sensing Investigation Solid/Liquid Waste Disposal Sites. Nat. Enforcement Inv. Ctr. , Den- ver, CO, EPA-330/1-80-002, May 1980. U.S. Geological Survey. Use of Landsat CCT's To Inventory Kaolin Mines. Prof. Paper 1000, 1976, 271 pp. Vanghan, P. R. The Measurement of Pore Pressure With Piezometers. Ch. in Field Instrumentation in Geotechnical Engineer- ing. Wiley, 1974, pp. 411-422. Wobber, F. J. , C. E. Wier, T. Leshen- dok, and W. Beeman. Survey of Coal Ref- use Banks and Slurry Ponds for the Indi- ana State Legislature Using Aerial and Orbital Inventory Techniques. Paper in Proceedings of the First Symposium on Mine and Preparation Plant Refuse Dispo- sal (Louisville, KY, Oct. 22-24, 1974). National Coal Association, Washington, DC, 1974, pp. 64-77. U.S. GOVERNMENT PRINTING OFFICE: 1 987 - 605-01 7'60 080 INT.-BU.OF MINES,PGH.,PA. 28546 C 59 IB^^HHMHH U.S. Department of the Interior Bureau of Minee— Prod, end Distr. Cochrane Mill Roed P.O. Box 18070 Pittsburgh, Pa. 15236 OFFICIAL BUSINESS PENALTY FOB PRIVATE USE, S300 • J Do not wish to receive this material, please remove from your mailing list* i "2 Address change* Please correct as indicated* AN EQUAL OPPORTUNITY EMPLOYER *-* ^4. ^ \r > C°"«* ** *u * < o * o. .0' V**-."- , \-^ r "«V "•-V a9 ''*"' > rA T ^- °» J /.-^ii-% t0 ^ ^ V ^•o^ ** ^^ • 0^ ,- k "-' o >^p J- *«o^W?'j>* \ V ^*V* "v^^- 4 /* \/^>y^ # "V^^''/' 6 v ^ > %, V V > ^ > 1 » ^ v^< ^^ A ». 5 * • ' «^ Vfw." /"** : M' ^% VW#v 4* v \. '-111?* ^^ ^ >.,,.- • ^ •• • » * A ' <. V •i'.V .^ ^°^ ^Ov, »Ho> J u»V V. "* \? °^. *«""> a V, "^ «V c, ^ 'vP$- V ^ v ^ v V^ N *••"• 4« % ' * e ^° ' a " \ * ^^ ^ %u ' " eT . »" a -4 Oe, >°^J <* *'7V * A^"^ •'* ^ ^ "^ v 4. * " ' a :M 1: '^^ I LIBRARY OF CONGRESS Mf II M If I if • 002 951 026 A