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| 基于高分辨率影像的景观格局定量分析 |
| 魏彦昌, 吴炳方, 张喜旺, 袁超, 董立新 |
| 中国科学院遥感应用研究所农业与生态遥感研究室|北京100101 |
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A QUANTITATIVE ANALYSIS OF THE LANDSCAPE PATTERN BASED
ON HIGH RESOLUTION SATELLITE IMAGES |
| WEI Yan-Chang, WU Bing-Fang, ZHANG XI-Wang, YUAN Chao, DONG Li-Xin |
| Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
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摘要 以2.5 m SPOT融合数据为基础，采用面向对象的自动分类技术，获取了密云水库上游地区1∶10 000比例尺土地利用分类图，
并利用FRAGSTATS软件定量分析了研究区的景观格局特征。研究表明： 林、灌、草等植被类型占据了研究区的85%以上面积，而且破
碎化程度较低、结构完整，对研究区水源涵养有利； 耕地、建设用地、未利用地等类型所占比例虽小，却是造成整体景观类型分散
、破碎化程度高的主要原因，因此，在保护植被的同时，应加紧对这些类型的治理与管理。
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| 关键词 ：
城市土地信息系统(ULIS),
地理数据库,
土地规划
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| Abstract： The analysis of landscape patterns of large areas based on high resolution satellite images will acquire
further information for decision-making. In this paper, the object-oriented approach is introduced into SPOT5 image
classification and, with this technique, a 1∶10000 land use map of the upper reaches of the Miyun Reservoir was
obtained. Then the landscape spatial pattern was analyzed quantitatively using the program of FRAGSTATS. The results
show that forest, shrub and grass cover more than 85% of the whole study area and, moreover, these main landscape
types are characterized by lower fragmentation and integrated structure which are beneficial to water resource
conservation. Though farmland, construction land and unutilized land only account for a small proportion, they
constitute the most important causes for the high fragmentation of the whole landscape. The improvement and
management of these types should be strengthened during the process of protecting vegetations. |
| Key words：
ULIS (Urban Land Information System)
Geographic data base
Land planninX
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收稿日期: 2008-08-04
出版日期: 2009-06-12
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| 基金资助: 中国科学院知识创新工程重大项目(编号： KZCX1-YW-08-03)及中国博士后科学基金资助项目(编号： 20070410650)共同
资助。 |
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通讯作者:
魏彦昌(1978- )，男，博士后，主要研究领域为生态环境遥感应用。
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| 引用本文: |
魏彦昌, 吴炳方, 张喜旺, 袁超, 董立新. 基于高分辨率影像的景观格局定量分析[J]. 国土资源遥感, 2009, 21(2): 76-81.
WEI Yan-Chang, WU Bing-Fang, ZHANG XI-Wang, YUAN Chao, DONG Li-Xin. A QUANTITATIVE ANALYSIS OF THE LANDSCAPE PATTERN BASED
ON HIGH RESOLUTION SATELLITE IMAGES. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(2): 76-81.
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| 链接本文: |
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2009.02.16
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https://www.gtzyyg.com/CN/Y2009/V21/I2/76
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