基于遥感的天津滨海新区土地利用/覆盖变化分析(英文)
采用全国土地分类系统,基于lAndSAT卫星TM遥感影像与天津滨海新区1:50,000地形图,进行相应数据处理,编制出2000年、2005年、2010年三期滨海新区土地利用/覆盖分类图,并运用土地利用转移矩阵对近10年来天津滨海新区土地利用/覆盖变化进行定量分析。在此基础上,进一步分析了经济、人口等驱动因子对土地利用/土地覆盖的影响。结果表明:十年间,滨海新区的建筑用地面积增加显著,而绿地、湿地、滩涂等高生态价值的土地向建筑用地、未利用地等开发建设用地大幅度转化,后五年变化尤为显著。 This paper carries out quantitative analysis on the lan...
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ftxiamenuniv:oai:dspace.xmu.edu.cn:2288/104733 2023-05-15T16:30:40+02:00 基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) Analysis on the land use and cover change in Tianjin Binhai New Area based on the remote sensing 王丰 刘书明 卢文虎 杜琼玮 姜伟男 李佳芮 2014-10-15 http://dspace.xmu.edu.cn/handle/2288/104733 zh_CN chi MarineScienceBulletin,2014,(2):48-61 1000-9620 HYTY201402005 http://dspace.xmu.edu.cn/handle/2288/104733 滨海新区 遥感 土地利用/覆盖变化(LUCC) 驱动因子 Binhai New Area remote sensing land use and cover change driving factors Article 2014 ftxiamenuniv 2020-07-21T12:25:22Z 采用全国土地分类系统,基于lAndSAT卫星TM遥感影像与天津滨海新区1:50,000地形图,进行相应数据处理,编制出2000年、2005年、2010年三期滨海新区土地利用/覆盖分类图,并运用土地利用转移矩阵对近10年来天津滨海新区土地利用/覆盖变化进行定量分析。在此基础上,进一步分析了经济、人口等驱动因子对土地利用/土地覆盖的影响。结果表明:十年间,滨海新区的建筑用地面积增加显著,而绿地、湿地、滩涂等高生态价值的土地向建筑用地、未利用地等开发建设用地大幅度转化,后五年变化尤为显著。 This paper carries out quantitative analysis on the land use/cover(LU/C) change of Tianjin Binhai New Area in recent 10 years through using land use transition matrix from the three-stage LU/C classification maps of 2000, 2005 and 2010 drafted by means of the National Land Classification System of China based on Landsat TM satellite remote sensing image and the Tianjin Binhai New Area 1:50 000 relief maps.On this basis, the impact of such driving factors as the economy and population on LU/C is further analyzed.The results show that the area of the building land in Binhai New Area has increased significantly over the ten years, and the greenland, wetland, and shoals of high ecological value have been dramatically transformed into the building land and unused land for the development and construction, and the change is more significant in the later five years. Article in Journal/Newspaper Greenland Xiamen University Institutional Repository Greenland |
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Xiamen University Institutional Repository |
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滨海新区 遥感 土地利用/覆盖变化(LUCC) 驱动因子 Binhai New Area remote sensing land use and cover change driving factors |
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滨海新区 遥感 土地利用/覆盖变化(LUCC) 驱动因子 Binhai New Area remote sensing land use and cover change driving factors 王丰 刘书明 卢文虎 杜琼玮 姜伟男 李佳芮 基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
topic_facet |
滨海新区 遥感 土地利用/覆盖变化(LUCC) 驱动因子 Binhai New Area remote sensing land use and cover change driving factors |
description |
采用全国土地分类系统,基于lAndSAT卫星TM遥感影像与天津滨海新区1:50,000地形图,进行相应数据处理,编制出2000年、2005年、2010年三期滨海新区土地利用/覆盖分类图,并运用土地利用转移矩阵对近10年来天津滨海新区土地利用/覆盖变化进行定量分析。在此基础上,进一步分析了经济、人口等驱动因子对土地利用/土地覆盖的影响。结果表明:十年间,滨海新区的建筑用地面积增加显著,而绿地、湿地、滩涂等高生态价值的土地向建筑用地、未利用地等开发建设用地大幅度转化,后五年变化尤为显著。 This paper carries out quantitative analysis on the land use/cover(LU/C) change of Tianjin Binhai New Area in recent 10 years through using land use transition matrix from the three-stage LU/C classification maps of 2000, 2005 and 2010 drafted by means of the National Land Classification System of China based on Landsat TM satellite remote sensing image and the Tianjin Binhai New Area 1:50 000 relief maps.On this basis, the impact of such driving factors as the economy and population on LU/C is further analyzed.The results show that the area of the building land in Binhai New Area has increased significantly over the ten years, and the greenland, wetland, and shoals of high ecological value have been dramatically transformed into the building land and unused land for the development and construction, and the change is more significant in the later five years. |
format |
Article in Journal/Newspaper |
author |
王丰 刘书明 卢文虎 杜琼玮 姜伟男 李佳芮 |
author_facet |
王丰 刘书明 卢文虎 杜琼玮 姜伟男 李佳芮 |
author_sort |
王丰 |
title |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
title_short |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
title_full |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
title_fullStr |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
title_full_unstemmed |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
title_sort |
基于遥感的天津滨海新区土地利用/覆盖变化分析(英文) |
publishDate |
2014 |
url |
http://dspace.xmu.edu.cn/handle/2288/104733 |
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Greenland |
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Greenland |
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Greenland |
op_relation |
MarineScienceBulletin,2014,(2):48-61 1000-9620 HYTY201402005 http://dspace.xmu.edu.cn/handle/2288/104733 |
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1766020400573054976 |