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On monitoring development indicators using high resolution satellite images

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  • Potnuru Kishen Suraj
  • Ankesh Gupta
  • Makkunda Sharma
  • Sourabh Bikas Paul
  • Subhashis Banerjee

Abstract

We develop a machine learning based tool for accurate prediction of socio-economic indicators from daytime satellite imagery. The diverse set of indicators are often not intuitively related to observable features in satellite images, and are not even always well correlated with each other. Our predictive tool is more accurate than using night light as a proxy, and can be used to predict missing data, smooth out noise in surveys, monitor development progress of a region, and flag potential anomalies. Finally, we use predicted variables to do robustness analysis of a regression study of high rate of stunting in India.

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  • Potnuru Kishen Suraj & Ankesh Gupta & Makkunda Sharma & Sourabh Bikas Paul & Subhashis Banerjee, 2017. "On monitoring development indicators using high resolution satellite images," Papers 1712.02282, arXiv.org, revised Jun 2018.
    • Handle: RePEc:arx:papers:1712.02282
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    References listed on IDEAS

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