A Remote Sensing Analysis of Ecological Environment Factors of Lijiang Basin

doi:10.6046/gtzyyg.2010.s1.41

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Abstract

Based on American Landsat-7 satellite ETM+ remote sensing data, this paper interpreted and analyzed the major

ecological environment essential factors of Lijiang basin such as river system, vegetation, landform and faulted structure

by using the method of “man-machine interactive” interpretation. On such a basis, some measures are purposed to improve

the ecological environment of Lijiang basin according to the actual situation.

Keywords Intellectualized GIS

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	TP 79

Issue Date: 13 November 2010

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Cite this article:

YU Qi-Fen, YANG Shi-Yu, ZHAO Zhi-Fang, DANG Wei. A Remote Sensing Analysis of Ecological Environment Factors of Lijiang Basin[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(s1): 200-203.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.s1.41 OR https://www.gtzyyg.com/EN/Y2010/V22/Is1/200

［1］王军,沈松平,曾晴,等.嘉陵江干流中下游生态环境现状遥感调查与研究［J］.四川地质学报,2007,27(1)：57-61.

［2］方宝初.丽江地区森林历史变迁及其对环境的影响［J］.林业调查规划,2002,27(4)：42-45.

［3］李力.丽江旅游发展与生态环境保护对策研究［J］.云南环境科学,2O04,23(增刊1)：127-128.

［4］彭建,王仰麟,叶敏婷,等.区域产业结构变化及其生态环境效应——以云南省丽江市为例［J］.地理学报,2005,60(5)：798-806.

［5］禹志云,李现武.徐霞客的文化生态观与丽江生态环境保护［J］.云南师范大学学报(哲学社会科学版),2007,39(1)：56-59.

［6］李冬玲,穆一清,马小红.ETM 数据在柴达木盆地生态环境因素调查中的应用［J］.西部探矿工程,2009(2)：88-91.

［7］杨世瑜,李波,吴志亮,等.云南省丽江市城市环境地质问题调查评价报告［R］.昆明：云南省地质调查院&云南省地质环境监测总

站,2005.

［8］中国人民解放军00939部队.1∶200000丽江幅区域水文地质普查报告［R］.昆明：云南省地矿局,1979.

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