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|Title:||Analysis of phenologicallly-derived productivity anomalies for food security monitoring|
|Authors:||MERONI MICHELE; VERSTRAETE Michel; REMBOLD Felix; URBANO FERDINANDO; KAYITAKIRE Francois|
|Citation:||Proceedings of Temporal Analysis of Satellite Images EARSeL Workshop p. 1-6|
|Type:||Articles in periodicals and books|
|Abstract:||For logistical and security reasons, various institutions and organizations monitor vegetation condition in food insecure regions of the world using remote sensing techniques from space. In this study, we outline a method to objectively assess the characteristics of concluded growing seasons on the basis of optical remote sensing data only. A few key phenological indicators, derived from multi-temporal Earth observations, characterize the spatial and temporal evolution of successive growing seasons. These indicators, together with a simplified light use efficiency approach, are used to compute a proxy of the yearly gross primary production. Vegetation condition and the associated risk of food deficit are derived from a comparison of these yearly values with their long-term averages. This approach is exploited here to document the severe 2010-2011 drought in the Horn of Africa.|
|JRC Directorate:||Sustainable Resources|
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