PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

  • T. Jagdhuber
  • M. Baur
  • M. Link
  • M. Piles
  • D. Entekhabi
  • C. Montzka
  • J. Seppänen
  • O. Antropov
  • Jaan Praks

  • A. Löw

Organisaatiot

  • German Aerospace Center
  • University of Bayreuth
  • Universitat de València
  • Massachusetts Institute of Technology
  • Jülich Research Centre
  • Ludwig Maximilian University of Munich

Kuvaus

Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Geoscience and Remote Sensing Symposium - Fort Worth, Yhdysvallat
Kesto: 23 heinäkuuta 201728 heinäkuuta 2017
http://www.igarss2017.org

Julkaisusarja

NimiIEEE International Geoscience and Remote Sensing Symposium proceedings
ISSN (elektroninen)2153-7003

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
LyhennettäIGARSS
MaaYhdysvallat
KaupunkiFort Worth
Ajanjakso23/07/201728/07/2017
www-osoite

ID: 17189165