TY - GEN
T1 - Estimation of soil moisture and debris pile volume from Pi-SAR2X and Pi-SAR-L2 square-flight data
AU - Koyama, Christian N.
AU - Sato, Motoyuki
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
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.
KW - Environmental monitoring
KW - Pi-SAR2
KW - Polarimetric synthetic aperture radar
KW - Soil moisture
KW - Tsunami
UR - http://www.scopus.com/inward/record.url?scp=84911416412&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2014.6946726
DO - 10.1109/IGARSS.2014.6946726
M3 - Conference contribution
AN - SCOPUS:84911416412
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1516
EP - 1519
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -