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基于MODIS-NDVI的贵州省2001—2010年植被覆盖变化分析及分异特征 被引量:15

Analysis of Vegetation Cover Change and Its Spatlal Differentiation Characteristics in Guizhou Province Based on MODIS-NDVI from 2001 to 2010
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摘要 以2001—2010年贵州省MODIS NDVI为数据源,在GIS和RS技术的支持下,建立近10年贵州省NDVI时间序列数据集。并结合DEM数据提取不同高程地区,采用最大值(MVC)合成法、分区统计、趋势分析研究和探讨贵州省植被覆盖的空间分布特征、年际变化规律。分析结果表明:1)研究区2001-2010年植被覆盖总体上以改善为主,局部区域有退化和严重退化现象,主要分布在中部以及北部城市周边地区和人口集聚的地区;2)各个高程分区中,以高程大于1900m的地区植被覆盖增加最快,高程小于700m的地区植被退化最为严重;3)研究区2001-2010年10年间植被覆盖减少的地区总面积为21 336.38km2,占研究区总面积的12.11%,其中植被严重减少的地区面积为5 745.78km2,占研究区总面积的3.26%。 The objective of this paper is to establish the NDVI time-series dataset of Guizhou province in recent 10 years and on the basis of the support from GIS and RS, and the combination of MODIS NDVI data from 2001-2010. Meanwhile, the study has been conducted on the spatial distribution characteristic and inter-annual variation discipline of vegetation cover according to the methodol- ogies such as MVC, partition statistics and trend analysis combine with the elevation extracted from DEM. The findings show 1) generally, the tendency of the vegetation gradually improved in the study area, however, presentation of the degrade and severely degraded phenomenon in some areas, and mainly situated peri-urban areas in central and northern and population concentration re- gions; 2) in the graded distribution areas, the elevation above 1900m has the fastest increase, and most severe degradation of vege- tation in the altitude below 700m; 3)the total area of decreased vegetation cover is 21 336.38 km2 in the ten years of 2001 2010 which account for 12.11% of the total stud area and the area of most severe degraded vegetation is 5745.78 km2 account for 3.26 % of the total study area.
出处 《重庆师范大学学报(自然科学版)》 CAS CSCD 北大核心 2015年第4期146-151,F0002,F0003,共8页 Journal of Chongqing Normal University:Natural Science
基金 重庆市博士后科研项目特别资助基金(No.xm201102001) 重庆市教委科学技术项目(No.CY120402) 重庆市农业气象与卫星遥感工程技术研究中心 重庆市气象局开放基金(No.Kfjj-201103) 资源环境与生态建设重庆市高校创新团队基金
关键词 植被 NDVI 高程 贵州省 vegetation NDVI elevation Guizhou province
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