Title :
Classification of typhoon-destroyed forests based on tree height change detection using InSAR technology
Author :
Wang, Haipeng ; Ouchi, Kazuo ; Jin, Ya-Qiu
Author_Institution :
Key Lab. of Wave Scattering & Remote Sensing Inf. (MoE), Fudan Univ., Shanghai, China
Abstract :
In this paper, interferometric synthetic aperture radar (InSAR) data are utilized to extract the forestry damage information caused by typhoon over Tomakomai, Hokkaido, Japan. By computing the interferograms of two single-pass X-band SAR data before and after the typhoon, the change of their heights could be detected even the fallen tress were not cleared, and therefore, the damage level can then be evaluated. The results show that the main damaged areas detected by InSAR analysis are in agreement with the ground truth data.
Keywords :
forestry; geophysical image processing; radar imaging; radar interferometry; storms; synthetic aperture radar; vegetation; Hokkaido; InSAR analysis; InSAR technology; Japan; Tomakomai; forestry damage information analysis; interferometric synthetic aperture radar data; single-pass X-band SAR data; tree height change detection; typhoon-destroyed forest based classification; Accuracy; Biomass; Data mining; Forestry; Remote sensing; Typhoons; Vegetation; InSAR; forestry; typhoon damage;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049425
