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Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy over Rugged Terrain

  • Kai Yan
  • , Hanliang Li
  • , Wanjuan Song
  • , Yiyi Tong
  • , Dalei Hao
  • , Yelu Zeng
  • , Xihan Mu
  • , Guangjian Yan
  • , Yuan Fang
  • , Ranga B. Myneni
  • , Crystal Schaaf
  • China University of Geosciences, Beijing
  • CAS - Aerospace Information Research Institute
  • Beijing Normal University
  • Pacific Northwest National Laboratory
  • University of Wisconsin-Madison
  • University of Waterloo
  • Boston University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume60
DOIs
StatePublished - 2022

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences

Keywords

  • Bidirectional reflectance distribution function (BRDF)/albedo
  • digital elevation model (DEM)
  • kernel-driven model
  • radiative transfer (RT)
  • reflectance anisotropy
  • topographic effects

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