Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data

Jan Pisek, Jing M. Chen, Hideki Kobayashi, Miina Rautiainen, Michael E. Schaepman, Arnon Karnieli, Michael Sprinstin, Youngryel Ryu, Maris Nikopensius, Kairi Raabe

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Spatial and temporal patterns of forest background (understory) reflectance are crucial for retrieving biophysical parameters of forest canopies (overstory) and subsequently for ecosystem modeling. In this communication, we retrieved seasonal courses of understory normalized difference vegetation index (NDVI) from multiangular Moderate Resolution Imaging Spectroradiometer bidirectional reflectance distribution function (MODIS BRDF)/albedo data. We compared satellite-based seasonal courses of understory NDVI to understory NDVI values measured in different types of forests distributed along a wide latitudinal gradient (65.12°N-31.35°N). Our results indicated that the retrieval method performs well particularly over open forests of different types. We also demonstrated the limitations of the method for closed canopies, where the understory signal retrieval is much attenuated.

Original languageEnglish
Pages (from-to)855-863
Number of pages9
JournalJournal of Geophysical Research: Biogeosciences
Volume121
Issue number3
DOIs
StatePublished - 1 Mar 2016

Keywords

  • MODIS BRDF
  • NDVI
  • multiangle remote sensing
  • understory

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