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

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1316-1319
ページ数4
ISBN(電子版)9781479979295
DOI
出版ステータスPublished - 2015 11月 10
イベントIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
継続期間: 2015 7月 262015 7月 31

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
2015-November

Other

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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