Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space

Ref. 20253

  

Dies ist die Version 2.2 dieses Projekts.

Methoden

Erhebungsmodus

We develop a machine-learning algorithm to classify land cover from Landsat data, which are publicly available through Google Earth Engine. The underlying Python code and all other code to replicate or findings is available on GitHub (https://github.com/Neduzen/lhvpetecon-surface).

Erhebungsverfahren

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