Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data

Christian N. Koyama; Motoyuki Sato

doi:10.1109/IGARSS.2014.6946726

Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data

Christian N. Koyama, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Full polarimetric airborne SAR data acquired over the Tsunami affected coastal area in Northeastern Japan is used to estimate soil moisture and debris volumes. Using empirical surface roughness calibration of the I²EM soil moisture is estimated with a RMSE of 5.2 Vol.-%. The heights of Tsunami debris piles are estimated with a RMSE of 0.71 m by using a reference point aided stereo-SAR approach. Debris pile volumes are estimated with an overall RMSE of 2478 m³. The accuracy increases with increasing size of the piles. While the error ranges from 50% to 90% for the smallest piles, it is in the order of 20% to 30% for the large piles.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1516-1519
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6946726
Publication status	Published - 2014 Nov 4
Externally published	Yes
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 2014 Jul 13 → 2014 Jul 18

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/Territory	Canada
City	Quebec City
Period	14/7/13 → 14/7/18

Keywords

Environmental monitoring
Pi-SAR2
Polarimetric synthetic aperture radar
Soil moisture
Tsunami

ASJC Scopus subject areas

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

10.1109/IGARSS.2014.6946726

Cite this

Koyama, C. N., & Sato, M. (2014). Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1516-1519). [6946726] (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6946726

Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data. / Koyama, Christian N.; Sato, Motoyuki.

International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. p. 1516-1519 6946726 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Koyama, CN & Sato, M 2014, Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6946726, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 1516-1519, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 14/7/13. https://doi.org/10.1109/IGARSS.2014.6946726

Koyama CN, Sato M. Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data. In International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc. 2014. p. 1516-1519. 6946726. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2014.6946726

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title = "Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data",

abstract = "Full polarimetric airborne SAR data acquired over the Tsunami affected coastal area in Northeastern Japan is used to estimate soil moisture and debris volumes. Using empirical surface roughness calibration of the I2EM soil moisture is estimated with a RMSE of 5.2 Vol.-%. The heights of Tsunami debris piles are estimated with a RMSE of 0.71 m by using a reference point aided stereo-SAR approach. Debris pile volumes are estimated with an overall RMSE of 2478 m3. The accuracy increases with increasing size of the piles. While the error ranges from 50% to 90% for the smallest piles, it is in the order of 20% to 30% for the large piles.",

keywords = "Environmental monitoring, Pi-SAR2, Polarimetric synthetic aperture radar, Soil moisture, Tsunami",

author = "Koyama, {Christian N.} and Motoyuki Sato",

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N2 - Full polarimetric airborne SAR data acquired over the Tsunami affected coastal area in Northeastern Japan is used to estimate soil moisture and debris volumes. Using empirical surface roughness calibration of the I2EM soil moisture is estimated with a RMSE of 5.2 Vol.-%. The heights of Tsunami debris piles are estimated with a RMSE of 0.71 m by using a reference point aided stereo-SAR approach. Debris pile volumes are estimated with an overall RMSE of 2478 m3. The accuracy increases with increasing size of the piles. While the error ranges from 50% to 90% for the smallest piles, it is in the order of 20% to 30% for the large piles.

AB - Full polarimetric airborne SAR data acquired over the Tsunami affected coastal area in Northeastern Japan is used to estimate soil moisture and debris volumes. Using empirical surface roughness calibration of the I2EM soil moisture is estimated with a RMSE of 5.2 Vol.-%. The heights of Tsunami debris piles are estimated with a RMSE of 0.71 m by using a reference point aided stereo-SAR approach. Debris pile volumes are estimated with an overall RMSE of 2478 m3. The accuracy increases with increasing size of the piles. While the error ranges from 50% to 90% for the smallest piles, it is in the order of 20% to 30% for the large piles.

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Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data

Abstract

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Keywords

ASJC Scopus subject areas

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