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Article

Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain

1
College of Tourist (Institute of Human Geography), Xi’an International Studies University, Xi’an 710127, China
2
College of Urban and Environment Sciences, Northwest University, Xi’an 710127, China
3
Institute of Geological & Mineral Resources Survey of Henan, Luoyang 471000, China
*
Author to whom correspondence should be addressed.
Academic Editor: Guido D’Urso
Water 2021, 13(22), 3154; https://doi.org/10.3390/w13223154
Received: 8 October 2021 / Revised: 2 November 2021 / Accepted: 5 November 2021 / Published: 9 November 2021
(This article belongs to the Section Hydrology)
Qinling Mountains is the north–south boundary of China’s geography; the vegetation changes are of great significance to the survival of wildlife and the protection of species habitats. Based on Landsat products in the Google Earth Engine (GEE) platform, Pearson’s correlation coefficient method, and classification and regression models, this study analyzed the changes in NDVI (Normalized Difference Vegetation Index) in the Qinling Mountains in the past 38 years and the sensitivity of its driving factors. Finally, residual analysis method and accumulate slope change rate are used to identify the impact of human activities and climate change on NDVI. The research results show the following: (1) The NDVI value in most areas of Qinling Mountains is at a medium-to-high level, and 99.76% of the areas correspond to an increasing trend of NDVI, and the significantly increased area accounts for more than 20%. (2) From 1981 to 2019, the NDVI of the Qinling Mountains increased from 0.63 to 0.78, showing an overall upward trend, and it increased significantly after 2006. (3) Sensitivity analysis results show that the western high-altitude area of Qinling Mountain area dominated by grassland is mainly affected by precipitation. The central and southeastern parts of the Qinling Mountains are significantly affected by temperature, and they are mainly distributed in areas dominated by forest. (4) The contribution rates of climate change and human activities to NDVI are 36.04% and 63.96%, respectively. Among them, the positive impact of human activities on the NDVI of the Qinling Mountains accounted for 99.85% of the area. The area with significant positive effect accounted for 36.49%. The significant negative effect area accounts for only 0.006%, mainly distributed in urban areas and coal mining areas. View Full-Text
Keywords: Qinling Mountain; precipitation; temperature; NDVI; GEE Qinling Mountain; precipitation; temperature; NDVI; GEE
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MDPI and ACS Style

Huang, C.; Yang, Q.; Zhang, H. Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain. Water 2021, 13, 3154. https://doi.org/10.3390/w13223154

AMA Style

Huang C, Yang Q, Zhang H. Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain. Water. 2021; 13(22):3154. https://doi.org/10.3390/w13223154

Chicago/Turabian Style

Huang, Chenlu, Qinke Yang, and Hui Zhang. 2021. "Temporal and Spatial Variation of NDVI and Its Driving Factors in Qinling Mountain" Water 13, no. 22: 3154. https://doi.org/10.3390/w13223154

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