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Communication Dans Un Congrès Année : 2012

LONG TERM CONSISTENT GLOBAL GEOV1 AVHRR BIOPHYSICAL PRODUCTS

Résumé

Long term global terrestrial vegetation monitoring from satellite Earth Observation system is a critical issue within global climate and earth science modeling applications. This contribution describes the algorithm and a first validation of the global LAI, FAPAR and FCOVER products derived from AVHRR Long Term Data Record (LTDR) for the 1981-2000 period within geoland2 project. GEOV1_AVHRR algorithm aims to ensure robustness and consistency of the derived biophysical products with the ones developed in the recent years, and particularly with the GEOV1_VGT products derived from SPOT/VGT sensor. The approach is based on the use of neural networks and dedicated temporal smoothing and gap filing techniques. The comparison of GEOV1_AVHRR with GEOV1_VGT and with similar products derived from AVHRR GIMMS shows that GEOV1_AVHRR outperforms the current existing products in terms of smoothness and continuity (fraction of valid data of 99.7%). At the same time, GEOV1_AVHRR shows high consistency with GEOV1_VGT and a similar accuracy (RMSE=0.80) as evaluated with ground-based observations. Combination of GEOV1_AVHRR and GEOV1_VGT realizes thus the objective of producing continuous and consistent time series of global observations of LAI, FAPAR and FCOVER for the last three decades. In the next months GEOV1_AVHRR products will be freely accessible at geoland2 portal at 0.05º spatial resolution and 10 days temporal sampling frequency.
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Dates et versions

hal-01321202 , version 1 (25-05-2016)

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  • HAL Id : hal-01321202 , version 1

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Aleixandre Verger, Frédéric Baret, Marie Weiss, Roselyne Lacaze, Hassan Makhmara, et al.. LONG TERM CONSISTENT GLOBAL GEOV1 AVHRR BIOPHYSICAL PRODUCTS. 32th EARSel Symposiumon Temporal Analysis of Satellite Images,, May 2012, Mykonos, Greece. ⟨hal-01321202⟩
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