id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-206145-snkdgpym	Ackermann, Klaus	Object Recognition for Economic Development from Daytime Satellite Imagery	2020-09-11		.txt	text/plain	4007	215	54	Ultimately, this project aims to go beyond the use of nightlight luminosity as a proxy for economic development data and use high resolution, daytime satellite imagery to predict key infrastructure variables at national and subnational levels for less developed countries like in Africa. More broadl, we also relate growing body of literature that uses other passively collected data to measure local economic activity (e.g. Abelson, Varshney, and Sun 2014; Blumenstock, Cadamuro, and On 2015; Chen and Nordhaus 2011; Henderson, Storeygard, and Weil 2012; Hodler and Raschky 2014) , Methodologically, our paper contributes to the large remote-sensing literature that applies high-dimensional techniques to extract features from satellite imagery (e.g. Jean et al. Using satellite images from 21 African countries we show how our method can be used to generate very granular information about the stock of housing and road infrastructure for regions in the world, where reliable information about the local level of economic development is hardly available.	./cache/cord-206145-snkdgpym.txt	./txt/cord-206145-snkdgpym.txt