Title: Regional drought monitoring using phenologicallytuned biomass production estimates from SPOTVEGETATION FAPAR
Authors: MERONI MICHELEFASBENDER DOMINIQUEKAYITAKIRE FrancoisPINI GiancarloREMBOLD FelixURBANO FERDINANDOVERSTRAETE MICHEL
Citation: Proceedings of the Second International Conference on Agro-Geoinformatics 2013 p. 495 - 499
Publisher: IEEE
Publication Year: 2013
JRC N°: JRC83874
URI: http://dx.doi.org/10.1109/Argo-Geoinformatics.2013.6621970
http://publications.jrc.ec.europa.eu/repository/handle/JRC83874
DOI: 10.1109/Argo-Geoinformatics.2013.6621970
Type: Articles in periodicals and books
Abstract: Monitoring the impact of drought on vegetation conditions is a critical activity for assessing food security in semi-arid and arid countries in Africa. Remote sensing from space offers a unique opportunity to obtain consistent and timely information over large and inaccessible areas where field observations are scattered, inhomogeneous or frequently unavailable. In this study we outline a remote sensing method to estimate the probability of experiencing a biomass production deficit during the on-going season based on the statistical analysis of Earth Observation data. The method is based on the extraction of vegetation phenology from SPOT-VEGTATION time series of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and the subsequent computation of seasonally cumulated FAPAR as a proxy of vegetation gross primary production. Forecast of the overall seasonal performances, expressed in terms of probability of experiencing a critical deficit, are updated regularly whenever a new satellite observation is made available. Examples of application in the Sahel are discussed in this contribution.
JRC Directorate:Sustainable Resources

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