Early detection of production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach

Abstract: 

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.

Authors
Authors: 
REMBOLD Felix, PINI Giancarlo, URBANO Ferdinando, FASBENDER Dominique, MERONI Michele, KAYITAKIRE Francois, VERSTRAETE M.
Publication Year
Publication Year: 
2014
Type

Type:

Appears in Collections
Appears in Collections: 
Institute for Environment and Sustainability
JRC Institutes
IES
Publisher
Publisher: 
ELSEVIER SCIENCE INC
ISSN
ISSN: 
0034-4257
Citation
Citation: 
REMOTE SENSING OF ENVIRONMENT p. 57-68 vol. 142