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

Thomas Jagdhuber, M. Baur, Mathias Link, M. Piles, D. Entekhabi, C. Montzka, Jaakko Seppanen, Oleg Antropov, J. Praks, A. Löw

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages4322-4325
ISBN (Electronic)978-1-5090-4951-6, 978-1-5090-4950-9
ISBN (Print)978-1-5090-4952-3
DOIs
Publication statusPublished - 1 Dec 2017
MoE publication typeA4 Article in a conference publication
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

SeriesIEEE International Geoscience and Remote Sensing Symposium Proceedings
Volume37
ISSN2153-6996

Conference

Conference37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
CountryUnited States
CityFort Worth
Period23/07/1728/07/17

Keywords

  • ICESat
  • Multi-sensor
  • Scattering albedo
  • SMAP
  • Vegetation optical depth

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