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Retrieval and validation of forest background reflectivity from daily MODIS bidirectional reflectance distribution function (BRDF) data across European forests.

Authors :
Pisek, Jan
Erb, Angela
Korhonen, Lauri
Biermann, Tobias
Carrara, Arnaud
Cremonese, Edoardo
Cuntz, Matthias
Fares, Silvano
Gerosa, Giacomo
Grünwald, Thomas
Hase, Niklas
Heliasz, Michal
Ibrom, Andreas
Knohl, Alexander
Kobler, Johannes
Kruijt, Bart
Lange, Holger
Leppänen, Leena
Limousin, Jean-Marc
Serrano, Francisco Ramon Lopez
Source :
Biogeosciences Discussions; 11/4/2020, p1-22, 22p
Publication Year :
2020

Abstract

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 normalized difference vegetation index (NDVI) of forest understory with multi-angular Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF)/albedo data (gridded 500 meter daily Collection 6 product), using a method originally developed for boreal forests. The forest floor background reflectance estimates from 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 its applicability on ecosystems other than boreal forests. Here we report the method can deliver good retrievals especially over different forest types with open canopies (low foliage cover). The performance of the method was found limited over forests with closed canopies (high foliage cover), where the signal from understory gets much attenuated. The spatial heterogeneity of individual field sites as well as the limitations and documented quality of the MODIS BRDF product are shown to be important for correct assessment and validation of the retrievals obtained with remote sensing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18106277
Database :
Complementary Index
Journal :
Biogeosciences Discussions
Publication Type :
Academic Journal
Accession number :
146821939
Full Text :
https://doi.org/10.5194/bg-2020-360