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Quantifying Landscape Pattern and Human impacts on Oases Using Remote Sensing and GIS

机译:使用遥感和GIS量化景观格局和对绿洲的人类影响

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摘要

This paper introduces the use of Remote Sensing (RS) technology and GIS, combining with multidisciplinary methods, at the Zhangye and Jiuquan Oases in northwest China. Results show that: The integration of RS and GIS, Landscape Ecology, Settlement Geography, Community Ecology and social science is an efficient way to analyze landscape pattern and human impacts; The combination of Human Impact Index (HIM) and Human Pressure Index (HPI) can illustrate the influencing intensity of human beings explicitly; Nearest Distribution Pattern Index (NDPI) and spatial neighboring proportion can describe landscape pattern superior to partial traditional indices. NDPI is a potential index to replace Contagion. The neighboring proportion can reveal the neighboring relation more clearly than the Interspersion & Juxtaposition Index; The conclusions obtained from the Landsat TM data are well in accordance with the field survey and multidisciplinary analysis: Farmland and settlement are the key components in the both oases; At the patch types level, the distributing pattern is quite complex in the both oases. At the landscape level, the both oases are distributed randomly; Because of higher population pressure, more developed agriculture and communication, and higher density of manual corridor, the spatial pattern is more homogeneous and the human impacts on Zhangye Oasis are stronger than Jiuquan Oasis.
机译:本文介绍了在西北张和酒泉绿洲结合遥感技术和GIS以及多学科方法的应用。结果表明:遥感与地理信息系统,景观生态学,聚落地理学,社区生态学和社会科学的整合是分析景观格局和人类影响的有效方法;人类影响指数(HIM)和人类压力指数(HPI)的结合可以清楚地说明人类的影响强度;最近分布格局指数(NDPI)和空间邻域比例可以描述优于部分传统指数的景观格局。 NDPI是取代传染病的潜在指数。相邻比例比散布和并置指数能更清楚地显示相邻关系;从Landsat TM数据中得出的结论与现场调查和多学科分析相吻合:农田和居民点是这两种绿洲的关键组成部分。在补丁类型级别,这两种绿洲的分布模式都非常复杂。在景观水平上,这两种绿洲都是随机分布的。由于较高的人口压力,更发达的农业和通讯设施以及较高的人工走廊密度,空间格局更加均一,人类对张ye绿洲的影响要比酒泉绿洲更为强烈。

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