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Proceedings Paper

Spatio-temporal distribution of NDVI and its correlation with climatic factors in eastern China during 1998-2008
Author(s): Cong Zhou; Runhe Shi; Chao Zhang; Chaoshun Liu; Wei Gao
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Paper Abstract

The aim of this work was to analyze the distribution of NDVI and its correlation with climatic factors in Eastern China during 1998 - 2008. For this purpose, SPOT-VGT images and 143 meteorological data in Eastern China were collected and analyzed. Results showed that the values of Normalized Difference Vegetation Index (NDVI) were generally higher in the southern part than those in the northern part of Eastern China. The NDVI showed a hidden nonlinear trend after wavelet transform, whereas variations existed in the correlation between NDVI and the four climatic factors (i.e., precipitation and relative humidity, temperature, sunshine hours). NDVI data were positively correlated with temperature and sunshine hours, which was opposite to what was observed in precipitation and relative humidity. Furthermore, the same chan1ge cycle was found for NDVI and precipitation, temperature, and sunshine hours, which were nearly 290 days based on normalized wavelet variance. However, the change cycles of relative humidity showed a different spatial distribution. In the north part of Eastern China, about 30 ten-day were detected, which was not the case for the southern part, where the number increased to 186 ten-day.

Paper Details

Date Published: 8 October 2014
PDF: 10 pages
Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 92210G (8 October 2014); doi: 10.1117/12.2060768
Show Author Affiliations
Cong Zhou, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE (China)
Runhe Shi, East China Normal Univ. (China)
Chao Zhang, East China Normal Univ. (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE (China)
Wei Gao, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE (China)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 9221:
Remote Sensing and Modeling of Ecosystems for Sustainability XI
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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