Paper
23 February 2023 The comparison and analysis of the surface drought monitoring model based on Xinjiang
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125510Y (2023) https://doi.org/10.1117/12.2668267
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
Drought affects food security and social production and life seriously, so it’s crucial to obtain drought information timely. This paper conducted a comparative study of drought indices in Xinjiang. We used MOD13A2 and MOD11A2 to calculate AVI and TVDI, used daily precipitation and temperature data from 41 meteorological stations to calculate PDSI, compared their ability and analyzed their consistency, finally. The results showed that: (1) The average value of AVI and TVDI was consistent on inter-annual drought response and the correlation reached -0.54. (2) AVI responded poorly at the early stage of vegetation growth; TVDI responded poorly to drought events in the northern Xinjiang; and remote sensing indices possessed lag; PDSI responded to drought events not only in terms of magnitude of values, but also in terms of dynamic decline of values. (3) AVI-TVDI spatial correlation was poor; TVDI lag I / II -PDSI correlation was -0.28 and -0.31 in drought years, the consistency in the eastern part was larger than the western part, the northern part was larger than the southern part. The consistency of AVI-PDSI was poorer than TVDI-PDSI. The results aimed to provide help for drought assessment and new ideas to enrich the means of drought monitoring in Xinjiang.
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Yanmin Shuai, Junbo Duan, Jian Yang, Congying Shao, and Xianwei Ma "The comparison and analysis of the surface drought monitoring model based on Xinjiang", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125510Y (23 February 2023); https://doi.org/10.1117/12.2668267
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KEYWORDS
Vegetation

Meteorology

Remote sensing

Environmental monitoring

Environmental sensing

Agriculture

MODIS

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