thinkingmachines / unicef-ai4d-poverty-mapping

UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building relative wealth estimation models across Southeast Asia (SEA)
https://thinkingmachines.github.io/unicef-ai4d-poverty-mapping
MIT License
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Feat/convert viirs to module #71

Closed butchtm closed 1 year ago

butchtm commented 1 year ago
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butchtm commented 1 year ago

Unlike the ookla and osm datasets, nightlights uses raster files so I don't actually load the raster file, - I just create a clipped raster file from the global file using the total bounds of the aoi -- this is actually pretty fast (about 15msecs). The slowest parts of the process are: