Title of article :
Uncertainty estimates for the FAPAR operational products derived from MERIS — Impact of top-of-atmosphere radiance uncertainties and validation with field data
Author/Authors :
Gobron، نويسنده , , Nadine and Pinty، نويسنده , , Bernard and Aussedat، نويسنده , , Ophélie and Taberner، نويسنده , , Malcolm and Faber، نويسنده , , Olga and Mélin، نويسنده , , Frédéric and Lavergne، نويسنده , , Thomas and Robustelli، نويسنده , , Monica and Snoeij، نويسنده , , Paul، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
13
From page :
1871
To page :
1883
Abstract :
This paper discusses the accuracy of the operational Medium Resolution Imaging Spectrometer (MERIS) Level 2 land product which corresponds to the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). The FAPAR value is estimated from daily MERIS spectral measurements acquired at the top-of-atmosphere, using a physically based approach. The products are operationally available at the reduced spatial resolution, i.e. 1.2 km, and can be computed at the full spatial resolution, i.e. at 300 m, from the top-of-atmosphere MERIS data by using the same algorithm. The quality assessment of the MERIS FAPAR products capitalizes on the availability of five years of data acquired globally. The actual validation exercise is performed in two steps including, first, an analysis of the accuracy of the FAPAR algorithm itself with respect to the spectral measurements uncertainties and, second, with a direct comparison of the FAPAR time series against ground-based estimations as well as similar FAPAR products derived from other optical sensor data. The results indicate that the impact of top-of-atmosphere radiance uncertainties on the operational MERIS FAPAR products accuracy is expected to be at about 5–10% and the agreement with the ground-based estimates over different canopy types is achieved within ± 0.1.
Keywords :
SeaWiFS , Validation , Remote sensing , fAPAR , FIPAR , Land surface , MERIS , MODIS , Radiative transfer modeling
Journal title :
Remote Sensing of Environment
Serial Year :
2008
Journal title :
Remote Sensing of Environment
Record number :
1575400
Link To Document :
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