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[1]WANG Lixia,YU Dongyang,LIU Zhao,et al.Study on Tempo-spatial Variations of NDVI and Climatic Factors and Their Correlation in the Weihe Watershed[J].Research of Soil and Water Conservation,2019,26(02):249-254.

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Study on Tempo-spatial Variations of NDVI and Climatic Factors and Their Correlation in the Weihe Watershed

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 02 Page number: 249-254 Column: Public date: 2019-04-28

Title:: Study on Tempo-spatial Variations of NDVI and Climatic Factors and Their Correlation in the Weihe Watershed

Author(s):: WANG Lixia^1,2, YU Dongyang³, LIU Zhao⁴, ZHANG Shuangcheng¹, YANG Yun¹; 1. College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China;
2. Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Land and Resources, Xi’an 710075, China;
3. School of Earth Science and Resources, Chang’an University, Xi’an 710054, China;
4. School of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China

Keywords:: Weihe Watershed; NDVI; climatic factors; tempo-spatial change; correlation

CLC:: TP79

DOI:: -

Abstract:: The tempo-spatial changes of NDVI can reflect the evolution of regional ecological environment. On the basis of pixel scale, trend analysis method can simulate the trend of each grid cell in the study area, reflecting the detailed information of NDVI changes. Based on monthly data of MODIS NDVI from 2000 to 2015 and meteorological data of the same period, trend analysis method and correlation analysis method were used to study the tempo-spatial variation characteristics and correlation of NDVI, temperature and precipitation in the Weihe Watershed. The results showed that: (1) in the past 16 years, the average NDVI of the Weihe Watershed had increased, the rate of change was about 0.088/decade, and the vegetation coverage had increased; during the 16 years, the area of increasing NDVI accounted for 97.77% of the total watershed, these areas mainly distributed in the west and north of the watershed; (2) in the time series, the correlation coefficient between NDVI and temperature was 0.865, the partial correlation coefficient was 0.664; the correlation coefficient between NDVI and precipitation was 0.776, and the partial correlation coefficient was 0.346; it indicated that the seasonal variation of temperature and precipitation had a remarkable impact on vegetation growth, and the effect of temperature was more significant; (3) on the pixel scale, the area where NDVI was positively correlated with temperature accounted for 51.21%; the area in which NDVI was positively correlated with precipitation accounts for 96.67%. It indicated that there were spatial differences and uncertainty in the effects of temperature on vegetation growth, and the increase of precipitation mainly promoted the growth of vegetation.

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