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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Jan Pisek - , University of Tartu (Author)
  • Angela Erb - , University of Massachusetts Boston (Author)
  • Lauri Korhonen - , University of Eastern Finland (Author)
  • Tobias Biermann - , Lund University (Author)
  • Arnaud Carrara - , Mediterranean Center for Environmental Studies (CEAM) (Author)
  • Edoardo Cremonese - , ARPA Valle d'Aosta (Author)
  • Matthias Cuntz - , Université de Lorraine (Author)
  • Silvano Fares - , National Research Council of Italy (CNR) (Author)
  • Giacomo Gerosa - , Catholic University of the Sacred Heart (Author)
  • Thomas Grünwald - , Chair of Meteorology (Author)
  • Niklas Hase - , Helmholtz Centre for Environmental Research (Author)
  • Michal Heliasz - , Lund University (Author)
  • Andreas Ibrom - , Technical University of Denmark (Author)
  • Alexander Knohl - , University of Göttingen (Author)
  • Johannes Kobler - , Environment Agency Austria (Author)
  • Bart Kruijt - , Wageningen University & Research (WUR) (Author)
  • Holger Lange - , Norwegian Institute of Bioeconomy Research (Author)
  • Leena Leppänen - , Finnish Meteorological Institute, University of Montpellier (Author)
  • Francisco Ramon Lopez Serrano - , University of Castilla-La Mancha (Author)
  • Denis Loustau - , INRAE - National Institute of Agricultural Research (Author)
  • Petr Lukeš - , Czech Academy of Sciences (Author)
  • Lars Lundin - , Swedish University of Agricultural Sciences (Author)
  • Riccardo Marzuoli - , Catholic University of the Sacred Heart (Author)
  • Meelis Mölder - , Lund University (Author)
  • Leonardo Montagnani - , Free University of Bozen-Bolzano, Forest Services of the Autonomous Province of Bozen-Bolzano (Author)
  • Johan Neirynck - , Belgian National Fund for Scientific Research (Author)
  • Matthias Peichl - , Swedish University of Agricultural Sciences (Author)
  • Corinna Rebmann - , Helmholtz Centre for Environmental Research (Author)
  • Eva Rubio - , University of Castilla-La Mancha (Author)
  • Margarida Santos-Reis - , University of Lisbon (Author)
  • Crystal Schaaf - , University of Massachusetts Boston (Author)
  • Marius Schmidt - , Jülich Research Centre (Author)
  • Guillaume Simioni - , INRAE - National Institute of Agricultural Research (Author)
  • Kamel Soudani - , Université Paris-Saclay (Author)
  • Caroline Vincke - , Université catholique de Louvain (Author)

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.

Details

Original languageEnglish
Article number34
Pages (from-to)621-635
Number of pages15
JournalBiogeosciences
Volume18
Issue number2
Publication statusPublished - 27 Jan 2021
Peer-reviewedYes

External IDs

Scopus 85100262744