| Technology and Methodology |
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Analysis of fire disturbed forests scattering characteristics using polarimetric SAR image |
| QI Shuai1,2, ZHANG Yonghong2, WANG Huiqin3 |
1. Faculty of Geomatics Lanzhou Jiaotong University, Lanzhou 730070, China;
2. Chinese Academy of Survering and Mapping, Beijing 100830, China;
3. Shanghai M&D Technical Measurement Company Limited, Shanghai 200123, China |
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Abstract So far forest fire monitoring is only confined to single channel polarimetric amplitude data before and after fire or the utilization of the amplitude of the fully polarimetric SAR after fire, and less research have been conducted from the viewpoint of applying change of the scattering mechanism by forest fire to monitoring forest fire by using fully polarimetric SAR. In this paper, the authors analyzed a forest fire that occurred in 2009 in Alaska, used Radarsat-2 fully polarimetric SAR data obtained before and after the fire and, from the aspect of forest fires changing backscatter intensity and changing forest scattering mechanisms, quantitatively analyzed the intensity of each polarization channel, the dominant scattering mechanism and depolarization parameters and gave reasons for each change. The results obtained by the authors show that, for boreal forests after fire, the backscatter intensity increased by 20% in co-pol channels, and cross-pol channel increased slightly, that forest dominant scattering mechanism changed from volume scattering accounting for 59% before the fire to surface scattering accounting for 53% after the fire, and that depolarization of forests was reduced by 45% in comparison with things before fire. These conclusions have reference values for applying multitemporal polarimetric SAR data to mapping forest fire scar or monitoring burn severity.
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| Keywords
earthquake stricken area
Mean Shift
image segmentation
region merging
unmanned aerial vehicle(UAV)image
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Issue Date: 14 April 2016
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2016,
Vol. 28
