Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Biogeosciences Year : 2021

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

1 Tartu Observatory
2 UMass Boston - University of Massachusetts [Boston]
3 University of Eastern Finland
4 Skane University Hospital [Lund]
5 Fundacion CEAM
6 ARPA Valle d'Aosta (Aosta Valley Regional Environmental Protection Agency)
7 SILVA - SILVA
8 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
9 Unicatt - Università cattolica del Sacro Cuore [Milano]
10 TU Dresden - Technische Universität Dresden = Dresden University of Technology
11 UFZ - Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research
12 DTU - Danmarks Tekniske Universitet = Technical University of Denmark
13 Georg-August-University = Georg-August-Universität Göttingen
14 Umweltbundesamt GmbH = Environment Agency Austria
15 WUR - Wageningen University and Research [Wageningen]
16 NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research
17 FMI - Finnish Meteorological Institute
18 CEFE - Centre d’Ecologie Fonctionnelle et Evolutive
19 UCLM - Universidad de Castilla-La Mancha = University of Castilla-La Mancha
20 UMR ISPA - Interactions Sol Plante Atmosphère
21 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
22 Unicatt - Università cattolica del Sacro Cuore [Brescia]
23 Free University of Bozen-Bolzano
24 APB - Autonomous Province of Bolzano
25 INBO - Research Institute for Nature and Forest
26 cE3c - Centre for Ecology - Evolution and Environmental Changes
27 FZJ - Forschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre
28 URFM - Ecologie des Forêts Méditerranéennes
29 ESE - Ecologie Systématique et Evolution
30 UCL - Université Catholique de Louvain = Catholic University of Louvain
Jan Pisek
  • Function : Author
  • PersonId : 1011907
Lauri Korhonen
Tobias Biermann
Arnaud Carrara
  • Function : Author
Matthias Cuntz
Michal Heliasz
Leena Leppänen
Denis Loustau
Petr Lukeš
  • Function : Author
Meelis Mölder
Guillaume Simioni
Kamel Soudani

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 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.

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Ecosystems
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hal-03516967 , version 1 (07-01-2022)

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Jan Pisek, Angela Erb, Lauri Korhonen, Tobias Biermann, Arnaud Carrara, et al.. Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests. Biogeosciences, 2021, 18, pp.621 - 635. ⟨10.5194/bg-18-621-2021⟩. ⟨hal-03516967⟩
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