干旱区地理2025，Vol.48Issue(11)：1903-1912,10.DOI:10.12118/j.issn.1000-6060.2024.729
基于GEE优选遥感干旱指数的内蒙古干旱时空特征
Spatiotemporal characteristics of drought in Inner Mongolia based on GEE and optimal remote sensing drought index
摘要
Abstract
The scientific revelation of the spatiotemporal characteristics of agricultural drought through remote sensing cloud computing technology is of great significance for promoting ecological civilization and the sustain-able development of agriculture and animal husbandry.Taking the Inner Mongolia Autonomous Region of China as the study area,and based on Google Earth Engine(GEE),various remote sensing drought indices from 1982 to 2021 were constructed using multi-source remote sensing and meteorological data.The representation capabili-ties of the normalized vegetation supply water index,crop water stress index(CWSI),temperature-vegetation drought index,vegetation condition index,and temperature condition index for agricultural drought were com-pared,and the spatiotemporal variation of drought in Inner Mongolia from 1982 to 2021 was analyzed.The re-sults show that:(1)CWSI exhibits significantly better representation ability for agricultural drought than the oth-er four indices.(2)The CWSI from 1982 to 2021 shows a general downward trend,with areas of insignificant change accounting for 77.5%,extremely significant decline accounting for 9.4%,and significant increase also ac-counting for 9.4%.(3)Drought severity gradually decreases from west to northeast.Among the drought catego-ries,moderate drought accounts for the highest proportion(77.55%),followed by severe drought(26.38%)and extreme drought(23.07%);light drought and no-drought areas are the smallest,accounting for 18.35%and 2.95%,respectively.The correlation between CWSI and the annual average standardized precipitation evapotrans-piration index differs significantly across climate types.Cold grassland climate,hot-summer winter-dry cold-tem-perate climate,and warm-summer winter-dry cold-temperate climate show an extremely significant negative cor-relation(P<0.01),while correlations in other climate types are not significant.These findings provide theoretical support and a decision-making basis for agricultural production and drought early warning in Inner Mongolia.关键词
遥感/干旱指数/作物缺水指数(CWSI)/谷歌地球引擎/内蒙古Key words
remote sensing/drought index/crop water shortage index(CWSI)/Google Earth Engine/Inner Mongolia引用本文复制引用
陈先林,闫志远,刘全明,李瑞平,张圣微..基于GEE优选遥感干旱指数的内蒙古干旱时空特征[J].干旱区地理,2025,48(11):1903-1912,10.基金项目
内蒙古农业大学青年教师科研能力提升专项(BR230159) （BR230159）
内蒙古自治区高等学校科学研究项目(NJZY21466) （NJZY21466）
内蒙古自治区科技计划项目(2021GG0072) （2021GG0072）
内蒙古自治区教育厅一流学科科研专项(YLXKZX-NND-010) （YLXKZX-NND-010）
内蒙古自治区高等学校创新团队发展计划(NMGIRT2313)资助 （NMGIRT2313）
