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伊洛河流域植被覆盖空间分异研究
引用本文:张喜旺,刘剑锋,张波.伊洛河流域植被覆盖空间分异研究[J].黑龙江农业科学,2010(10):105-108.
作者姓名:张喜旺  刘剑锋  张波
作者单位:1. 河南大学,环境与规划学院,河南,开封,475004
2. 黄河水利职业技术学院,河南,开封,475001
基金项目:河南省哲学社会科学规划资助项目 
摘    要:植被覆盖信息对于流域资源与生态环境质量评价、综合治理与开发、可持续发展等具有重要意义。以伊洛河流域2009年的TM影像为数据源,基于像元二分模型提取该流域的植被覆盖度,并将植被覆盖度由低至高分为5类,研究流域植被覆盖的空间分异状况。结果表明:流域的植被覆盖整体较好,平均值达到60%左右,高值区域分布在栾川县、熊耳山附近、洛南县南部;低值区域分布在嵩县和洛宁县以下河段,覆盖度大于80%的区域大约占整个流域面积的57%,主要集中在陆浑水库至洛宁县一线上游的区域;而覆盖度在0~20%的区域只占不到5%,主要是上河流沿线、洛南县中上部和洛阳市所在区域。研究结果将为该区域的资源环境保护和开发治理提供基础数据。

关 键 词:像元二分模型  植被覆盖度  伊洛河  ERDAS  NDVI

Spatial Distribution Analysis of Vegetation Fraction in Yiluo River Basin
ZHANG Xi-wang,LIU Jian-feng,ZHANG Bo.Spatial Distribution Analysis of Vegetation Fraction in Yiluo River Basin[J].Heilongjiang Agricultural Science,2010(10):105-108.
Authors:ZHANG Xi-wang  LIU Jian-feng  ZHANG Bo
Institution:1.Environment and Planning College of Henan University,Kaifeng,Henan 475004;2. Yellow River Conservancy Technical Institute,Kaifeng,Henan 475001)
Abstract:Extraction of vegetation cover information has significance for watershed resource and environmental quality assessment,management and development and sustainable development.This paper extracted the vegetation fraction using the 2009 TM image data of Yiluo River Basin,based on dimidiate pixel model.And vegetation fraction was divided into five categories from low to high,in order to study the spatial variation of vegetation cover situation.The results showed that the basin's vegetation cover was good overall,with an average 60%.High value region of vegetation cover was located in Luanchuan,near Bear Ear Mountain,and the southern of Luonan County;low value region was located in Song County and the River part of Luoning County.The area of vegetation fraction more than 80%accounted for 57%of the entire study area,mainly concentrated in the Luhun reservoir to Luoning County;and lower than 20%only accounted for less than 5%,and mainly along both sides of the rivers,Luonan County,Luoyang City.The results would provide the basis for regional development and controlling.
Keywords:ERDAS  NDVI
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