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基于GIS的秦岭山系视觉景观评价
引用本文:齐增湘,徐卫华,肖志成. 基于GIS的秦岭山系视觉景观评价[J]. 广东农业科学, 2012, 39(11): 15-18,封2
作者姓名:齐增湘  徐卫华  肖志成
作者单位:1. 衡阳师范学院资源环境与旅游管理系,湖南衡阳,421008
2. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京,100085
基金项目:国家自然科学基金,国家重点基础研究发展计划项目,衡阳师范学院人才引进科研启动项目
摘    要:视觉景观评价是景观开发利用和保护的基础。采用遥感和地理信息系统技术,在对秦岭山系景观进行分类和制图的基础上,运用模糊层次综合分析方法,从景观视觉质量和视觉敏感度两方面综合评价了秦岭山系视觉景观资源。结果表明:阔叶林和草甸景观具有较好的视觉质量,美景度较高,针叶林、混交林和水体景观次之,而草丛和城镇景观视觉质量较差;视觉景观最敏感区主要分布在距道路500 m内,视觉景观敏感度与道路、观赏视距有较强的相关性;秦岭山系视觉景观资源总体较好,很好级和较好级视觉景观资源占研究区总面积的77.83%,主要分布在海拔较高地区。

关 键 词:景观质量评价  视觉景观敏感度  模糊评价  地理信息系统  秦岭山系

Evaluation of visual landscape based on GIS in Qinling Mountains
QI Zeng-xiang , XU Wei-hua , XIAO Zhi-cheng. Evaluation of visual landscape based on GIS in Qinling Mountains[J]. Guangdong Agricultural Sciences, 2012, 39(11): 15-18,封2
Authors:QI Zeng-xiang    XU Wei-hua    XIAO Zhi-cheng
Affiliation:1(1.Department of Resources Environment and Tourism Management,Hengyang Normal University,Hengyang 421008,China; 2.State Key Laboratory of Regional and Urban Ecology,Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences,Beijing 100085,China)
Abstract:Evaluation of visual landscape was the basis for landscape exploitation and protection.Using remote sensing(RS) and geographical information system(GIS),the landscape classification and maps were produced.The comprehensive evaluation of visual landscape resources in Qinling Mountains was carried out based on the results of scenic beauty evaluation(SBE) and visual landscape sensitivity assessment with analytic hierarchy process(AHP) and fuzzy mathematics theory.The results showed that broad-leaf forest and meadow landscape had best visual landscape quality,and followed by coniferous forest,mixed forest and water landscape.While the wild grassland and residential area were the worse.The highest sensitive visual landscape area distributed along the main roads and located within the range of less than 500 meters from roads.The visual landscape sensitivity was strongly related to roads and the horizontal distance from a viewer.The overall landscape visual resource was good.The best-level and good-level visual landscape resource accounts for 77.83% in the region which distributed in the high elevation area.
Keywords:landscape quality assessment  visual landscape sensitivity  fuzzy evaluation  geographic information system  Qinling Mountains
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