DocumentCode :
2133453
Title :
Study on the forest observation in Kushiro wetland by using dual-frequency and fully polarimetric airborne SAR (Pi-SAR) data
Author :
Nakamura, Kazuki ; Wakabayashi, Hiroyuki ; Shinsho, Hisashi ; Maeno, Hideo ; Uratsuka, Seiho ; Nadai, Akitsugu ; Umehara, Toshihiko ; Moriyama, Toshifumi
Author_Institution :
Nat. Inst. of Inf. & Commun. Technol., Tokyo, Japan
Volume :
4
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
2332
Abstract :
We chose the Kushiro wetland in Hokkaido, Japan, as a test site to monitor wetland areas. Synthetic aperture radar (SAR) can carry out continuous observation in any weather conditions, and can therefore be used to observe high humidity areas such as wetlands. We applied multi-parameter SAR data (dual-frequency, multi-polarization, and multi-incidence angle) to monitoring the wetland forest. To find the optimum incidence angle and polarization for monitoring the wetland biomass, a simple backscattering model of wetland vegetation was developed and applied to estimate backscattering coefficients for different biomass and surface conditions.
Keywords :
backscatter; forestry; radar polarimetry; radiowave interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation mapping; Hokkaido; Japan; Kushiro wetland; Pi-SAR data; backscattering coefficient estimation; backscattering model; dual-frequency Pi-SAR; forest observation; fully polarimetric airborne SAR; high humidity areas; multiincidence angle; multiparameter SAR data; multipolarization; synthetic aperture radar; wetland area monitoring; wetland biomass; wetland forest monitoring; wetland vegetation; Aerospace testing; Backscatter; Biomass; Communications technology; Condition monitoring; Humidity; L-band; Layout; Polarization; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1369753
Filename :
1369753
Link To Document :
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