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

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


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

Research units

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


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 publicationProceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium proceedings
ISSN (Electronic)2153-7003


ConferenceInternational Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
CountryUnited States
CityFort Worth
Internet address

    Research areas

  • albedo, backscatter, optical radar, radiometry, remote sensing by laser beam, remote sensing by radar, sensor fusion, soil, vegetation, vegetation mapping, τ-ω model, ICESat lidar vegetation heights, crucial parameters, multisensor data integration approach, novel multisensor approach, passive microwave remote sensing, radiometer data, retrieval methodology, scattering albedo, vegetation optical depth, vegetation scattering coefficient, Indexes, Remote sensing, ICESat, SMAP, multi-sensor

ID: 17189165