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  1. その他のプロジェクト
  2. オアシスプロジェクト
  3. オアシス地域研究会報
  4. 第3巻2号

Land use/cover change dynamics of the Heihe river basin revealed by Knowledge-based classification with landsat TM.DEM and other information

https://chikyu.repo.nii.ac.jp/records/833
https://chikyu.repo.nii.ac.jp/records/833
301e2332-5db2-43bd-b914-9be76eb19228
名前 / ファイル ライセンス アクション
Oasis_3_2_6.pdf Land use/cover change dynamics of the Heihe river basin revealed by Knowledge-based classification with landsat TM.DEM and other information (3.1 MB)
Item type その他 / Others(1)
公開日 2017-03-29
タイトル
タイトル Land use/cover change dynamics of the Heihe river basin revealed by Knowledge-based classification with landsat TM.DEM and other information
タイトル
タイトル Land use/cover change dynamics of the Heihe river basin revealed by Knowledge-based classification with landsat TM.DEM and other information
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 land cover and land use change|knowledge-based rule criteria
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_1843
資源タイプ other
著者 JIANG, Jianjun

× JIANG, Jianjun

WEKO 825

JIANG, Jianjun

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ZHANG, Wanchang

× ZHANG, Wanchang

WEKO 786

ZHANG, Wanchang

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MAO, Rongzhen

× MAO, Rongzhen

WEKO 833

MAO, Rongzhen

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JIANG, Jianjun

× JIANG, Jianjun

WEKO 829

en JIANG, Jianjun

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ZHANG, Wanchang

× ZHANG, Wanchang

WEKO 790

en ZHANG, Wanchang

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MAO, Rongzhen

× MAO, Rongzhen

WEKO 834

en MAO, Rongzhen

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抄録
内容記述タイプ Abstract
内容記述 Radiometric correction was difficult to perform on imageries of mountainous areas where atmospheric and climatic data were difficult to obtain, because of the absence of weather station. It was a general knowledge that the classification of the non-radiometrically corrected imagery resulted to misclassifications, low accuracy and inconsistencies. From these problems,the objective of this study were drawn, namely to utilize a knowledge-based decision land cover and land use data. The study site was the heihe watershed, Province of Gansu, China. Two sets of Landsat TM taken form 1989 and 2002 were used as inputs to the project. The raw imageries were geometrically rectified, and atmospheric correction was done by the software of 6S. classified image using knowledge-based decision rule criteria created by the software of ERDAS Imagine. Result of the cross-tabulation showed that the classified imageries refined by the computer program had no incidence of invalid change result unlike the classified imageries produced without the assistance of the knowledge-based computer program. Also, its classification accuracy was higher than that of the imageries produced without the assistance of the computer program. We therefore conclude that the use of knowledge-based decision rule computer program to assist the standard classification procedures improved the accuracy of the land cover and land use data and the consistency of the land cover and land use change results.
書誌情報 オアシス地域研究会報
en : Project Report on an Oasis-region

巻 3, 号 2, p. 51-56, 発行日 2003-11
出版者
出版者 総合地球環境学研究所
ISSN
収録物識別子タイプ ISSN
収録物識別子 1346-9355
関連サイト
識別子タイプ URI
関連識別子 http://www.chikyu.ac.jp/oasis/
関連名称 オアシスプロジェクト
関連サイト
識別子タイプ URI
関連識別子 http://www.chikyu.ac.jp/
関連名称 総合地球環境学研究所
フォーマット
内容記述タイプ Other
内容記述 application/pdf
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
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