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Annual Rain-Use Efficiency (2000-2016)

NOTE: Here we provide this data set for 3 states: Maharashtra, Madhya Pradesh and Chhattisgarh. All India data are available upon request from the corresponding author of the study mentioned below.

Data Description:

This data set provides the annual rain-use efficiency (RUE), which is the ratio between annual sum of vegetation productivity and annual rainfall. RUE can be used to tease apart climate influences from anthropogenic influences on vegetation trends.

The input vegetation productivity data set is the annual sum of normalized difference vegetation index (NDVI) for each calendar year (January 1 to December 31) during 2000–2016, aggregated from the MODIS NDVI 16-day composites at a spatial scale of 1 km. The input rainfall data set is the annual sum of rainfall for each year during 2000–2016, aggregated from CHIRPS daily rainfall data (spatial resolution: 0.05°), rescaled to 1 km.

Recommended Citation(s):

Mondal, P., McDermid, S., Qadir, A. 2020. ​A reporting framework for Sustainable Development Goal 15: Multi-scale monitoring of forest degradation using MODIS, Landsat and Sentinel data. Remote Sensing of Environment 237, 111592, doi: 10.1016/j.rse.2019.111592.

566. https://doi.org/10.3390/rs9060566.

RUE_3states_2000-p2165cirgyt764txm2jixo977iuqwg39jjcl9ytkps.jpg
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