灾害学2024,Vol.39Issue(2):125-135,11.DOI:10.3969/j.issn.1000-811X.2024.02.020
基于多源信息的农业干旱监测研究进展
Research Progress in Agricultural Drought Monitoring Based on Multi-source Information
摘要
Abstract
At present,agricultural drought monitoring has shifted from site-based or remote sensing monito-ring to comprehensive monitoring based on multi-source information.In order to better promote the development of agricultural drought monitoring models and technologies,The development history of drought index is sorted out from the perspective of single variable to multivariate.The drought monitoring model construction methods such as water balance model,latent variable,linear combination,joint distribution function method,principal component analysis and data mining method are analyzed,and the applicability of different drought indices is compared.In view of the limitations of agricultural drought monitoring,the future development direction of agricultural drought monitoring is explored.At the theoretical level,it is necessary to clarify the inherent mechanism of agricultural drought,and further identify the influencing factors of agricultural drought and its feedback mechanisms.Integrate multi-source information such as remote sensing,meteorological stations,and field measurements to build a quantitative monitoring and early warning model of drought in key growth periods of crops at multi-temporal and spatial scales.At the same time,a unified evaluation index system for agricultural drought monitoring and early warning models will be constructed.At the technical level,the integration and integration of multi-source infor-mation need to be strengthened to provide strong data support for agricultural drought monitoring.In addition,the research on monitoring model construction methods based on big data should be strengthened to provide technical support for agricultural drought monitoring.关键词
农业干旱监测/干旱指数/多源信息/进展与展望Key words
agricultural drought monitoring/drought index/multi-source information/progress and outlook分类
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杨妮,邓树林..基于多源信息的农业干旱监测研究进展[J].灾害学,2024,39(2):125-135,11.基金项目
国家自然科学基金项目(42061071) (42061071)
广西自然科学基金项目(2021GXNSFBA220061) (2021GXNSFBA220061)
广西哲学社会科学规划研究课题(22FTJ003) (22FTJ003)
统计学广西一流学科建设项目资助(桂教科研[2022]1号) (桂教科研[2022]1号)