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我国近10年月平均NDVI空间分布特征分析

姚镇海 邱新法 施国萍 张喜亮

国土资源遥感2017,Vol.29Issue(2):181-186,6.
国土资源遥感2017,Vol.29Issue(2):181-186,6.DOI:10.6046/gtzyyg.2017.02.26

我国近10年月平均NDVI空间分布特征分析

An analysis of spatial distribution characteristics of monthly mean NDVI in the past ten years in China

姚镇海 1邱新法 2施国萍 3张喜亮4

作者信息

  • 1. 安徽省公共气象服务中心,合肥 230011
  • 2. 南京信息工程大学应用气象学院,南京 210044
  • 3. 南京信息工程大学地理与遥感学院地理信息系,南京 210044
  • 4. 浙江省湖州市气象局,湖州 313000
  • 折叠

摘要

Abstract

In order to study the spatial distribution characteristics of monthly mean NDVI during the past ten years in China, the authors used MODIS MOD/MYD13C2 vegetation spectrum to synthesize monthly NDVI and, combined with China's terrain data, discussed the changing regularity of NDVI with respect to aspect and elevation.The results show that the area ratio of low NDVI value segment [-0.25,0.15)is high in winter and low in summer, suggesting the characteristics of bare soil, deserted land and water.The median segment[0.15, 0.55] shows the "bimodal double-dip" character, and the area ratio is higher in spring and autumn than in winter and summer, implying features of vegetated mixture land cover.The area ratio of high value segment [0.55, 0.95] is high in summer and low in winter, indicating variation of vegetation cover with seasonal change.NDVI change with aspect shows the "bimodal double-dip" distribution, the NDVI values in southeast and northwest aspects are larger than those in southwest and northeast aspects.With increasing elevation , three NDVI decreasing zones are 250~1 250 m, 2 500~3 000m and 3 750~6 000 m, and two NDVI increasing zones are 1 250~2 500 m and 3 000~3 750 m, respectively.The horizontal and vertical distribution differentiations of NDVI are remarkable, which is attributed to the impact of climate and geographical terrain elements in China.Those regularities may be helpful to the research on land surface process.

关键词

NDVI/遥感/空间分布/中国

Key words

NDVI/remote sensing/spatial distribution/China

分类

信息技术与安全科学

引用本文复制引用

姚镇海,邱新法,施国萍,张喜亮..我国近10年月平均NDVI空间分布特征分析[J].国土资源遥感,2017,29(2):181-186,6.

基金项目

国家自然科学基金项目"复杂地形下月平均气温分布式模型研究"(编号:41175077)资助. (编号:41175077)

国土资源遥感

OA北大核心CSCDCSTPCD

2097-034X

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