Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests
HASE, Niklas
Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
REBMANN, Corinna
Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
SCHMIDT, Marius
Forschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre [FZJ]
< Réduire
Forschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre [FZJ]
Langue
en
Article de revue
Ce document a été publié dans
Biogeosciences. 2021-01-27, vol. 18, p. 621 - 635
European Geosciences Union
Résumé en anglais
Information about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate ...Lire la suite >
Information about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate modeling of forest carbon and energy fluxes. We retrieved values of the normalized difference vegetation index (NDVI) of the forest understory with the multi-angular Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF)/albedo data (gridded 500 m daily Collection 6 product), using a method originally developed for boreal forests. The forest floor background reflectance estimates from the MODIS data were compared with in situ understory reflectance measurements carried out at an extensive set of forest ecosystem experimental sites across Europe. The reflectance estimates from MODIS data were, hence, tested across diverse forest conditions and phenological phases during the growing season to examine their applicability for ecosystems other than boreal forests. Here we report that the method can deliver good retrievals, especially over different forest types with open canopies (low foliage cover). The performance of the method was found to be limited over forests with closed canopies (high foliage cover), where the signal from understory becomes too attenuated. The spatial heterogeneity of individual field sites and the limitations and documented quality of the MODIS BRDF product are shown to be important for the correct assessment and validation of the retrievals obtained with remote sensing.< Réduire
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