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23 February 2023 Alpine vegetation coverage mutation and its attribution analysis based on AVHRR NDVI data
Jianyun Zhao, Chuanli Jiang, Yuanyuan Ding, Junhuan Peng
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Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512X (2023) https://doi.org/10.1117/12.2668151
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
In order to clarify the mutation characteristics of alpine vegetation cover, a study of vegetation coverage change and its climate response relationship was carried out in Qinghai province based on AVHRR NDVI3g, temperature, precipitation, wind speed and sunshine data from 1982-2015. The results show that the overall NDVI series in the study area had mutant in 1998 and 2005, with mutants near 1987 in wet and semi-humid areas, and then the increase rate slowed down, and a clear trend of NDVI increase in arid areas after 2007. Temperature changes had a significant effect on vegetation coverage before the change in 1998, and there was a significant time lag effect between vegetation coverage and each meteorological factor during 1982-2015, and the changes of each meteorological factor over 1-5 years had some effect on vegetation. Cumulative changes in temperature, mutants in sunshine hours and rainfall in the study area were the main causes of mutation of vegetation coverage in 1998 and 2005.
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Jianyun Zhao, Chuanli Jiang, Yuanyuan Ding, and Junhuan Peng "Alpine vegetation coverage mutation and its attribution analysis based on AVHRR NDVI data", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512X (23 February 2023); https://doi.org/10.1117/12.2668151
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KEYWORDS
Vegetation
Meteorology
Climatology
Correlation coefficients
Climate change
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