衛星搭載SARによる湿雪域の積雪水文パラメータ推定手法の開発に関する検討

Material type: 文書・図像類

Author: 田殿, 武雄ほか

Publisher: 千葉大学環境リモートセンシング研究センター

Publication date: 2002

Material Format: Digital

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NDC: 450

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Note (General)：: type:text研究概要:The objective of this study is to develop an algorithm for quantitatively estimating snow hydrological parameters using a Synthetic Aper...

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Material Type: 文書・図像類
Title: 衛星搭載SARによる湿雪域の積雪水文パラメータ推定手法の開発に関する検討
Author/Editor: 田殿, 武雄
深見, 和彦
兒玉, 法彰
Shi, Jiancheng
Author Heading: 田殿, 武雄
深見, 和彦
兒玉, 法彰
Shi, Jiancheng
Publication, Distribution, etc.: 千葉大学環境リモートセンシング研究センター
Publication Date: 2002
Publication Date (W3CDTF): 2002
Alternative Title: Study for developing algorithm to estimate snow hydrological parameters in wet snow areas using satellite-based SAR images
Periodical title: 共同利用研究会報告集
Pages: 17-22
Text Language Code: jpn
NDC: 450
Target Audience: 一般
Note (General): type:text
研究概要:The objective of this study is to develop an algorithm for quantitatively estimating snow hydrological parameters using a Synthetic Aperture Radar (SAR) mounted on a satellite and a numerical scattering model. Simultaneous RADARSAT SAR observations were carried out during the winter seasons of 1996 to 1998. The study area is located in the Hokuriku District, Niigata Prefecture, Japan, that is well known for having wet snow with a complicated layer structure from the beginning of the winter season. In previous studies, we sought to estimate the distributions of snow depth and surface roughness using these multi-temporal RADARSAT images. However, snow depths over 20cm were underestimated because the extinction effects at C-band microwave were too large. In this study, we develop an algorithm to estimate distributions of snow density and roughness using observation datasets with some parameterization techniques and assumptions. Furthermore, we show the possibility of inferring snow depths from combined parameters estimated with a L-band SAR image at test sites.
source:水文過程のリモートセンシングとその応用に関するワークショップ
source:Center for Environmental Remote Sensing,Chiba University Symposium Report
Access Restrictions: 限定公開
Periodical Title (NCID): AA11594897
https://ci.nii.ac.jp/ncid/AA11594897
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ