COMPLEX PERMITTIVITY AND PENETRATION DEPTH ESTIMATION FROM AIRBORNE P-BAND SAR DATA APPLYING A HYBRID DECOMPOSITION METHOD

Anke Fluhrer, Thomas Jagdhuber, Alireza Tabatabaeenejad, Hamed Alemohammad, Carsten Montzka, Maike Schumacher, Harald Kunstmann

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

A method for estimating complex soil permittivity (or moisture) and penetration depth based on SAR decomposition is presented. By combining model- and eigen-based decomposition techniques, SAR observations are separated into single scattering components (from soil & vegetation). The proposed method incorporates a multi-layer rough surface scattering model to simulate the soil scattering contribution. From the decomposed soil scattering component, permittivity and thus penetration depth can be estimated from SAR observations. Results are presented for the AirMOSS campaign within the MOISST site, OK, USA. As first results, a median value of 16.44 + 2.02 for the complex permittivity was estimated from the 19 P-band data takes at the SoilSCAPE in situ station in Canton, OK, USA. Overall, the retrieval results for the real part of the complex permittivity are similar to in situ values at 30 cm soil depth, with differences in respective median values of 3.44. The median of penetration depths at the Canton site is 23.91 cm.

Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Number of pages4
PublisherIEEE
Publication date2021
Pages5884-5887
ISBN (Print)978-1-6654-0369-6
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium
Duration: 12 Jul 202116 Jul 2021

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period12/07/202116/07/2021
SponsorThe Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS)
SeriesIEEE International Geoscience and Remote Sensing Symposium IGARSS
ISSN2153-7003

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • AirMOSS
  • Multi-layer SPM
  • Polarimetry
  • SoilSCAPE
  • Surface Scattering

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