Raster Input Data for South Sudan

All commonly used raster data for training DARPA models. This data was used to train the household economic model but could be applied to any number of future models. To begin with, this includes accessibility, population, night lights, and landcover, but more rasters can be added.

Data and Resources

AccessibilityTIF
Accessibility to cities in 2015....
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Average annual night time lights, 2015.tif
Description: Average annual night time lights, 2015. Responsible Party:...
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LandcoverTIF
Landcover product from 2015. https://landcover.usgs.gov/global_climatology.php
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South Sudan Population 2015TIF
Population estimates for 2015. Produced by our Population model.
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South Sudan Population 2016TIF
Population of South Sudan in 2016 as estimated by our population model.
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South Sudan Population 2017TIF
Population of South Sudan in 2017, as estimated by our population model.
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South Sudan Population 2017TIF
Population of South Sudan in 2017, as estimated by our population model.
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South Sudan Population DensityTIF
Population density from LandScan that is used as the basis of the population...
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SSDDEN_2016NE.tif.tiff
Population density raster of South Sudan from Landscan 2017. The density...
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SSD population density from building-detection ....tif
Population density from building-detection Deep Learning model. It can be...
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Additional Info

Field	Value
Last Updated	October 23, 2020, 22:18 (UTC)
Created	May 1, 2018, 18:12 (UTC)

Ki-Data

Kimetrica Data Publishing

Raster Input Data for South Sudan

Data and Resources

Additional Info