沙漠与绿洲气象2025，Vol.19Issue(1)：49-57,9.DOI:10.12057/j.issn.1002-0799.2310.10005
基于风云3号气象卫星数据的四川盆地干旱监测
Drought Monitoring in Sichuan Basin Based on FY-3 Series Data
摘要
Abstract
To explore the applicability of the FY-3 Series in the Sichuan Basin,this study used FY-3D/MERSI-Ⅱ NDVI and LST products to calculate the Temperature-Vegetation Dryness Index(TVDI)as a drought monitoring indicator.MODIS data of the same type were used for validation.The spatiotemporal distribution characteristics of drought in the Sichuan Basin from June to October 2022 were then analyzed.Correlation validation was conducted using 10-40 cm soil moisture data from 53 representative soil moisture stations in the Sichuan Basin to evaluate the accuracy of the FY-3D/MERSI-Ⅱ TVDI for drought monitoring.The results showed that:(1)Under clear sky conditions,the correlation coefficients(R)between the FY-3D/MERSI-Ⅱ LST products and MODIS LST products,derived using the split-window algorithm,ranged from 0.72 to 0.84.The R values for NDVI products ranged from 0.55 to 0.67.Both sets of R values passed the 0.05 significance test,demonstrating that both products can be used for regional drought monitoring.(2)From June to October 2022,most areas in the Sichuan Basin experienced varying degrees of drought.The largest drought area occurred in July,covering 85.95％of the region,with 47.07％classified as moderate drought.The drought situation worsened in August,with severe drought areas increasing to 13.27％.(3)The correlation coefficient between the FY-3D/MERSI-Ⅱ TVDI and 10 cm soil relative humidity from June to October ranged from-0.65 to-0.32,passing the 0.05 significance test and showing a significant negative correlation.This indicates that the FY-3D/MERSI-Ⅱ TVDI has good potential as a reference for drought monitoring in the Sichuan Basin.关键词
干旱/风云3号气象卫星/分裂窗算法/TVDIKey words
drought/FY-3 Series/split window algorithm/TVDI分类
天文与地球科学引用本文复制引用
饶智杰,张德军,廖文超,户晓琴..基于风云3号气象卫星数据的四川盆地干旱监测[J].沙漠与绿洲气象,2025,19(1):49-57,9.基金项目
川东北强天气研究南充市重点实验室科技发展基金项目(NCQXKJ202308) （NCQXKJ202308）
