Using NDVI as auxiliary data for rapid quality assessment of rainfall estimates in Africa
Rainfall estimates derived from satellite imagery and global circulation models are frequently used for vegetation monitoring in many areas of Africa, due to the shortage of observed precipitation data and the sparse network of meteorological stations. At the same time, this scarce density of rain gauge stations makes the calibration and validation of the modelled data nearly impossible.
In this study we propose a methodology for a rapid quality assessment of rainfall estimates, which is based on the well known relationship between rainfall and NDVI. The method allows a quick detection of major over- and underestimations of different rainfall estimation methods at a continental/regional scale.
ROJAS MORA Oscar;
REMBOLD Felix;
DELINCE Jacques;
LEO Olivier;
2011-11-23
TAYLOR & FRANCIS LTD
JRC48147
0143-1161,
https://publications.jrc.ec.europa.eu/repository/handle/JRC48147,
10.1080/01431161003698260,
Additional supporting files
| File name | Description | File type | |
|---|
