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March 31, 2020
RSS published a spatially explicit and transferable approach to mapping drought with remote sensing this month. All the model's input variables are available at no cost and at a global extent, making it transferable to any area of interest on the planet with comparable results. The paper describes how our method was run and calibrated over a study site in USA (chosen for the country's rich availability of data), before being tested in South Africa and Zimbabwe.
A spatially explicit and globally transferable drought model
The figure displayed here shows the model outputs for months in a drought year (2012) and during a non-drought year (2014), and gives an example of how well the modeled results match the spatial patterns seen in the reference (US Drought Monitor's map for the same time period).
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