政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75040
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 112721/143689 (78%)
造訪人次 : 49621088      線上人數 : 559
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/75040


    題名: Monitoring i-lan coastal zone using multi-temporal Formosat-2 images
    作者: Jan, Jihn-Fa;Hsu, Y.-C.
    詹進發
    貢獻者: 地政系
    關鍵詞: Built-up areas;Change detection analysis;Coastal sand dunes;Environmentally sensitive areas;FRAGSTATS;Land use/land cover change;Land-cover change;Land-use change;Landscape ecology;Landscape index;Landscape metrics;Landscape structures;Markov model;Multi-temporal;Public domain softwares;Sand dunes;Spatial pattern analysis;Spatial variability;Study areas;Supervised classification;Temporal and spatial variability;Waterbodies;Coastal zones;Landforms;Markov processes;Remote sensing;Land use
    日期: 2009
    上傳時間: 2015-05-07 17:39:27 (UTC+8)
    摘要: Coastal sand dunes are dynamic and fragile terrain often regarded as environmentally sensitive areas. The coastal zone environment is easily affected by many natural and man-made factors, especially improper land use that result in rapid disappearance of coastal sand dunes. In this paper, by using three Formosat-2 images acquired between 2005 and 2008 and supervised classification methods, the change detection analysis of sand dunes and land use show temporal and spatial variability in the costal zone of I-Lan Plain. Based on the result of image classification, the land use/land cover changes and spatial variability were analyzed by using Fragstats, a public domain software for spatial pattern analysis. The objectives of this research include: (1) analyzing spatial variability of land-use and sand dunes area by landscape metrics; (2) testing differences of study area between two periods by Shannon t-test ; (3) building a Markov model to predict land-use/land-cover area for the next 15 years. The result of this study showed that water and built-up areas increases between 2005 and 2008. According to the comparisons of landscape indices and Shannon t-test results, the landscape structure of the study area during 2005 and 2008 had significant changes. Based on the simulation of the land-cover changes between 2005 and 2020, water body and built-up areas will increase, and the other land-use types (sandy area/cropland/forest) areas will decrease. Copyright © (2009) by the Asian Association on Remote Sensing.
    關聯: 30th Asian Conference on Remote Sensing 2009, ACRS 2009,21103-1108
    資料類型: conference
    顯示於類別:[地政學系] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML21282檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋