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10 July 2024 Remote sensing based characterization of spatial and temporal variability of drought in MU Us Sandy and analysis of climatic factors
Sinan Wang, Yingjie Wu, Fuqiang Wang, Ruiping Li, Qian Zhao
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Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 1322305 (2024) https://doi.org/10.1117/12.3035542
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China
Abstract
Desertification prevention and control is the main task of desertification control, and Mu Us Sandy Land is one of the four major sandy lands in China, with frequent droughts and very fragile ecological environment. Climate change is the main factor leading to drought, and it may face more severe drought in the future. Normalized Difference Vegetation Index and Land Surface Temperature data were used to calculate the Temperature Vegetation Drought Index By using Sen+Mann- Kendall trend analysis, Hurst Index, partial correlation analysis and lag analysis methods, the spatial and temporal change characteristics, future change trends and time-delay effects of TVDI on climate factors in Mu Us Sandy Land from 2001 to 2020 have been explored. The results showed that: (1) the average TVDI was 0.6, and the drought gradually eased from west to east. In autumn (Z=1.99) 38.5% of the pixels showed a significant drying trend, and in the other three seasons (Z mean =2.95) and the whole year (Z=3.47), the trend was very significant drying trend. (2) The relationship between annual TVDI and precipitation is mainly not significant negative correlation, accounting for 63.4%, which is concentrated in the southern part of Shaanxi Province with higher altitude and the southeastern part of Yanchi County. (3) In summer and autumn, TVDI is mainly not significantly positively correlated with temperature and evapotranspiration, and mainly not significantly negatively correlated with precipitation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Sinan Wang, Yingjie Wu, Fuqiang Wang, Ruiping Li, and Qian Zhao "Remote sensing based characterization of spatial and temporal variability of drought in MU Us Sandy and analysis of climatic factors", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 1322305 (10 July 2024); https://doi.org/10.1117/12.3035542
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KEYWORDS
Air temperature
Climatology
Correlation coefficients
Remote sensing
Vegetation
Climate change
Factor analysis
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