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ランドサットTM画像を用いたアマゾン川における水域の推定(英文)
http://hdl.handle.net/10295/2268
http://hdl.handle.net/10295/22689b8b2eb3-3031-4bcc-83f4-af6afe75cd5c
名前 / ファイル | ライセンス | アクション |
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nishidam4.pdf (16.8 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2013-09-26 | |||||
タイトル | ||||||
タイトル | ランドサットTM画像を用いたアマゾン川における水域の推定(英文) | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | リモートセンシング | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | varzea | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | ファジィ推論 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | エッジデータ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 水位変動 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | ミクセル | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 土地被覆クラス | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | remote sensing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | fuzzy estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | edge data | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | water level changes | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | mixel | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | landcover class | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
別タイトル | ||||||
その他のタイトル | Estimation of Water Areas in the Amazon on Landsat-TM Images | |||||
著者 |
西田, 眞
× 西田, 眞× 景山, 陽一× 肥田, 登× NISHIDA, Makoto× KAGEYAMA, Yoichi× HIDA, Noboru |
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内容記述(抄録) | ||||||
内容記述タイプ | Other | |||||
内容記述 | This paper presents the result of estimating water areas in the Amazon from the optical remote sensing data by using a new fuzzy estimation method and edge data. Conventionally, multi-temporal image data with different water heights are used to estimate the flooded areas. Optical sensors such as Landsat-TM may be limited by their inability to penetrate cloudcover in the Amazon regions. However, they have been well stocked in comparison with SAR (Synthetic Aperture Radar) image data and are useful to classify landcovers. Thus, this paper proposes a method that uses only one optical image data to estimate the flooded area, called várzea. Distinction between a pure pixel and a mixel (mixed pixel) is computed, and the occupancy of landcover classes in the study area is estimated by a fuzzy estimation method. In addition, estimation maps of the water areas at high and low levels are drawn from the occupancy of landcover classes and the situation of water areas is estimated. It is observed that the estimation results using the occupancy can match the local situation in the study area. As a result of this work, the estimation ratio indicates that water areas around Parintins-city, Brazil, at high level is an increase of about 58 % compared with water areas at low levels. The proposed method is applied to this particular regions, but this approach can also be applied to larger water areas considering varzea areas. Therefore, it is confirmed that the proposed method is very useful to estimate water areas in the Amazon from the optical remote sensing images. | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.5026/jgeography.107.61 | |||||
書誌情報 |
地學雜誌 巻 107, 号 1, p. 61-76, 発行日 1998-01-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0022135X | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00322536 | |||||
出版者 | ||||||
出版者 | 東京地学協会 | |||||
著作権等 | ||||||
権利情報 | 東京地学協会 |