Title: Early detection of production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach
Authors: MERONI MICHELEFASBENDER DOMINIQUEKAYITAKIRE FrancoisPINI GiancarloREMBOLD FelixURBANO FerdinandoVERSTRAETE M.
Citation: REMOTE SENSING OF ENVIRONMENT vol. 142 p. 57-68
Publisher: ELSEVIER SCIENCE INC
Publication Year: 2014
JRC N°: JRC84153
ISSN: 0034-4257
URI: http://dx.doi.org/10.1016/j.rse.2013.11.012
http://publications.jrc.ec.europa.eu/repository/handle/JRC84153
DOI: 10.1016/j.rse.2013.11.012
Type: Articles in periodicals and books
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.
JRC Directorate:Sustainable Resources

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