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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 7-五月-2015 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
dc.contributor 地政系
dc.creator (作者) Jan, Jihn-Fa;Hsu, Y.-C.
dc.creator (作者) 詹進發zh_TW
dc.date (日期) 2009
dc.date.accessioned 7-五月-2015 17:39:27 (UTC+8)-
dc.date.available 7-五月-2015 17:39:27 (UTC+8)-
dc.date.issued (上傳時間) 7-五月-2015 17:39:27 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75040-
dc.description.abstract (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.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 30th Asian Conference on Remote Sensing 2009, ACRS 2009,21103-1108
dc.subject (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
dc.title (題名) Monitoring i-lan coastal zone using multi-temporal Formosat-2 images
dc.type (資料類型) conferenceen