Early detection of production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach
Early warning monitoring systems in food-insecure countries aim to detect unfavourable crop and pasture conditions as early as possible during the growing season. This manuscript describes a procedure to estimate the probability of experiencing a biomass production deficit during the on-going season based on the statistical analysis of Earth Observation data. A 15-year time series of the Fraction of Absorbed Photosynthetically Active Radiation from the SPOT-VEGETATION instrument is used to characterize the climatological development of vegetation, its variability and its current status. Forecasts of overall seasonal performances, expressed in terms of the probability of experiencing a critical deficit, are updated regularly whenever a new satellite observation is made available. Results and performances of the method are discussed for croplands and pastures in the Sahel.
MERONI Michele;
FASBENDER Dominique;
KAYITAKIRE Francois;
PINI Giancarlo;
REMBOLD Felix;
URBANO Ferdinando;
VERSTRAETE M.;
2014-01-28
ELSEVIER SCIENCE INC
JRC84153
0034-4257,
http://dx.doi.org/10.1016/j.rse.2013.11.012,
https://publications.jrc.ec.europa.eu/repository/handle/JRC84153,
10.1016/j.rse.2013.11.012,
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