Open AccessBased on MOD13Q1 data to analyze the characteristics of vegetation changes in central Yunnan from 2000 to 2019
Author(s) -
Zongqi Peng,
Kun Yang,
Yi Luo,
Jiaying Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/658/1/012007
Subject(s) - normalized difference vegetation index , vegetation (pathology) , spatial analysis , physical geography , geography , autocorrelation , climate change , regression analysis , scale (ratio) , environmental science , linear regression , trend analysis , simple linear regression , pearson product moment correlation coefficient , spatial distribution , climatology , ecology , remote sensing , statistics , cartography , mathematics , geology , medicine , pathology , biology
The central Yunnan is an important development area in Yunnan Province. Studying the pattern of vegetation change in this region and the relationship between vegetation change and climate factors can provide information support for the management of the ecological environment and promote sustainable economic development. This study used the meteorological dataset of the Climate Date Store (ECMWF) and the vegetation dataset of MOD13Q1, combined with spatial autocorrelation analysis, simple linear regression analysis and Pearson correlation coefficient analysis to analyze the change of the NDVI and the distribution characteristics of spatial autocorrelation. The results showed that the NDVI value in central Yunnan increased slowly from 2000 to 2019 with the growth rate of 0.027/decade, but the increase was not significant. On the seasonal scale, the growth rate was highest in autumn (0.051/decade). In the past 20 years, the overall Moran I of NDVI was greater than 0.71, and the vegetation in central Yunnan showed a significant positive spatial autocorrelation.