Development of a biomass corrected soil moisture retrieval model for dual-polarization ALOS-2 data based on ALOS/PALSAR and PI-SAR-L2 observations

Christian N. Koyama, Karl Schneider, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

An empirical soil moisture retrieval model for dual-polarimetric L-band SAR imaging, the ALOS-2 standard observation, is being developed. The model, based on empirical relations between ALOS/PALSAR and Pi-SAR-L2 observations and ground measurements, can correct for the disturbing effects caused by surface roughness or vegetation cover. In this paper we focus on airborne campaigns carried out over the Sendai area, Japan, in 2013 and 2014. In situ surface parameters (soil moisture and surface roughness) were measured on bare soil and under rice canopy. Using roughness and biomass corrections the SAR derived soil moisture estimates yield an accuracy of 5.9 Vol.-% RMSE. The results indicate that the proposed approach, which was mainly parameterized in test sites in Germany, can also work in different geographic regions.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1316-1319
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 2015 Nov 10
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 2015 Jul 262015 Jul 31

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
CountryItaly
CityMilan
Period15/7/2615/7/31

Keywords

  • ALOS-2
  • PALSAR
  • Pi-SAR-L2
  • environmental monitoring
  • soil moisture

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Koyama, C. N., Schneider, K., & Sato, M. (2015). Development of a biomass corrected soil moisture retrieval model for dual-polarization ALOS-2 data based on ALOS/PALSAR and PI-SAR-L2 observations. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 1316-1319). [7326017] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7326017