Using Satellite Imagery to Understand and Promote Sustainable Development / Marshall Burke, Anne Driscoll, David Lobell, Stefano Ermon.

Format:

Book

Author/Creator:

Burke, Marshall.

Contributor:

National Bureau of Economic Research.

Driscoll, Anne.

Lobell, David.

Ermon, Stefano.

Series:

Working Paper Series (National Bureau of Economic Research) no. w27879.

NBER working paper series no. w27879

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2020.

Summary:

Accurate and comprehensive measurements of a range of sustainable development outcomes are fundamental inputs into both research and policy. We synthesize the growing literature that uses satellite imagery to understand these outcomes, with a focus on approaches that combine imagery with machine learning. We quantify the paucity of ground data on key human-related outcomes and the growing abundance and resolution (spatial, temporal, and spectral) of satellite imagery. We then review recent machine learning approaches to model-building in the context of scarce and noisy training data, highlighting how this noise often leads to incorrect assessment of models' predictive performance. We quantify recent model performance across multiple sustainable development domains, discuss research and policy applications, explore constraints to future progress, and highlight key research directions for the field.

Notes:

Print version record

October 2020.