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国土资源遥感  2017, Vol. 29 Issue (2): 181-186    DOI: 10.6046/gtzyyg.2017.02.26
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
我国近10年月平均NDVI空间分布特征分析
姚镇海1, 邱新法2, 施国萍3, 张喜亮4
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
An analysis of spatial distribution characteristics of monthly mean NDVI in the past ten years in China
YAO Zhenhai1, QIU Xinfa2, SHI Guoping3, ZHANG Xiliang4
1. Anhui Public Meteorological Service Center, Hefei 230011, China;
2. College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China;
3. School of Geography and Remote Sensing GIS department,Nanjing University of Information Science and Technology, Nanjing 210044, China;
4. Huzhou Meteorology Bureau of Zhejiang Province, Huzhou 313000, China
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摘要 

为研究我国近10 a月平均NDVI空间分布特征,使用2005―2014年MOD/MYD13C2植被指数产品得到全国多年分月NDVI; 在考虑不同月份NDVI高、中、低值区面积变化的同时,结合DEM数据,分析植被覆盖随季节变化的规律和NDVI随坡向、海拔的变化规律。结果表明: NDVI低值段[-0.25,0.15)面积冬季高、夏季低,代表裸土、荒地和部分水体的特征; 中值段[0.15,0.55)面积呈“双峰双谷”分布,春、秋季高于冬、夏季,体现植被覆盖下混合地物的特征; 高值段[0.55,0.95]面积夏季高、冬季低,反映了植被覆盖随季节变化的规律。NDVI随坡向变化呈“双峰双谷”分布,东南、西北坡高于西南、东北坡。NDVI随海拔升高出现3个递减带(250~1 250 m,2 500~3 000 m和3 750~6 000 m)和2个递增带(1 250~2 500 m和3 000~3 750 m)。受我国气候及地理、地形等要素影响,NDVI的水平和垂直向空间分异显著。此规律可为陆面过程研究提供参考。

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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.

Key wordsGNSS-R    soil moisture    software implementation    MATLAB    model integration
收稿日期: 2015-11-20      出版日期: 2017-05-03
基金资助:

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

通讯作者: 邱新法(1966-),男,教授,博士生导师,主要从事气候资源精细化开发利用与气象灾害风险评估方面的研究。Email: xfqiu135@nuist.edu.cn
作者简介: 姚镇海(1989-),男,硕士研究生,主要研究方向为遥感监测和公共气象服务。Email: 18256589121@163.com。
引用本文:   
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.
YAO Zhenhai, QIU Xinfa, SHI Guoping, ZHANG Xiliang. An analysis of spatial distribution characteristics of monthly mean NDVI in the past ten years in China. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 181-186.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.02.26      或      https://www.gtzyyg.com/CN/Y2017/V29/I2/181

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