Assessment of Spatio-Temporal Vegetation Productivity Pattern Based on MODIS-NDVI and Geo-Correlation Analysis

被引：2
|
作者：
Wang, Zhenyu [1 ]
Li, Gaole [1 ]
Dai, Yiru [1 ]
Wang, Zhibo [1 ,2 ]
Sha, Zongyao [1 ]
机构：
[1] Wuhan Univ, Int Sch Software, Wuhan 430079, Peoples R China
[2] E China Inst Technol, Software Coll, Nanchang 330013, Peoples R China
来源：
GEO-INFORMATICS IN RESOURCE MANAGEMENT AND SUSTAINABLE ECOSYSTEM | 2016年 / 569卷
关键词：
NDVI; Inner Mongolia; Spatial auto-correlation; Semi variance function;
D O I：
10.1007/978-3-662-49155-3_70
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper explored the spatio-temporal patterns of vegetation productivity based on MODIS-NDVI and spatial auto-correlation analysis in the grassland of Inner Mongolia, China during 2011-2013. Two statistics indices, i.e., spatial auto-correlation and semi variance function, were applied in the analysis. The results showed that: (1) at regional scale, the NDVI presented a positive spatial auto-correlation, while at local scope NDVI showed high-high auto-correlation in the eastern part of the study region where the vegetation cover was relatively best. In contrast, NDVI displayed low-low auto-correlation in the western area where the vegetation cover was poor. (2) During 2011 to 2013, the structural factors explained 70 % of the total spatial variations impacting the vegetation cover, and the annual precipitation also played a significant role in the spatial variation of vegetation cover.
引用
收藏
页码：673 / 681
页数：9
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