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基于RS和GIS的四川草地退化分析
引用本文:李 莉,李 峰.基于RS和GIS的四川草地退化分析[J].中国农学通报,2017,33(17):87-91.
作者姓名:李 莉  李 峰
作者单位:山东费县气象局,山东省气候中心
基金项目:淮河流域气象开放研究基金“基于FY-3数据的农田干旱遥感监测模型研究”(HRM201402)。
摘    要:草地退化是当今世界面临的一个极为严峻的生态问题。植被覆盖度作为草地退化监测的重要指标之一,在草地退化、荒漠化治理等方面起着重要的作用。利用2000—2010年MODIS的MODl3Q1数据产品,根据草地退化的研究需要,把草地植被覆盖度作为遥感监测指标,对四川省阿坝、甘孜、凉州地区10多年来草地退化的情况进行分析。结果表明:以2001年草地植被覆盖度的滑动平均值做"基准",得出2002—2010年阿坝、凉州、甘孜三州草地共退化约698718.75 hm2。且近十年来草地整体退化面积呈上升趋势,草地退化情况日趋严重。

关 键 词:草地退化  植被覆盖度  遥感监测
收稿时间:2016/9/2 0:00:00
修稿时间:2017/5/10 0:00:00

Grassland Degradation Analysis in Sichuan Based on RS and GIS
Li Li and Li Feng.Grassland Degradation Analysis in Sichuan Based on RS and GIS[J].Chinese Agricultural Science Bulletin,2017,33(17):87-91.
Authors:Li Li and Li Feng
Institution:Meteorological Bureau of Feixian County, Linyi Shandong,Climate Center of Shandong Province
Abstract:Grassland degradation in the world today are facing a very serious ecological problems.Monitoring of grassland degradation of vegetation coverage, as one of the important indicators, the grassland degradation and desertification control plays an important role.Using 2000-2010 MODIS MODl3Q1, NDVI data products, choose grass vegetation coverage as remote sensing monitoring index of grassland degradation, the aba and ganzi, sichuan province, liangzhou district for more than 10 years the situation of the grassland degradation were analyzed.Results show that in 2001, the grassland vegetation coverage of sliding average do "benchmarks", it is concluded that 2002-2010 in aba, liangzhou and ganzi state grassland degradation is about 698718.75 hm2.And the overall degradation area in the recent ten years is on the rise, grassland degradation situation has become increasingly serious.
Keywords:Grassland degradation  Vegetation coverage  remote sensing monitoring
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