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

fYear

2011

fDate

24-29 July 2011

Firstpage

1247

Lastpage

1250

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049425

Filename

6049425