农业机械学报2025，Vol.56Issue(8)：1-20,20.DOI:10.6041/j.issn.1000-1298.2025.08.001
多源遥感数据驱动的农业水利信息感知与应用研究进展
Advancements in Perception and Application of Agricultural Water Resources Information Driven by Multi-source Remote Sensing Data
摘要
Abstract
Agricultural water management is a critical component in ensuring global food security and the sustainable use of water resources,necessitating efficient and precise information sensing and regulation methods.In recent years,the integrated"sky-space-ground"multi-source remote sensing observation system has provided opportunities for the dynamic monitoring of agricultural water resources,particularly at the regional and field scales.The latest research advancements in the application of multi-source remote sensing data for agricultural water resources perception,covering data acquisition and processing,modeling methods,and typical applications were systematically reviewed.In terms of data acquisition,the collaboration between satellite,drone,and ground-based platform sensors significantly enhanced data spatial resolution and observation dimensions.Regarding data processing,remote sensing data processing was transitioning from localized approaches to cloud-based collaborative processing,thereby improving data fusion efficiency and spatiotemporal consistency.In modeling,hybrid models combining physical mechanisms and data-driven approaches were becoming mainstream,significantly improving predictive accuracy and model generalization.These advancements drove the widespread application of remote sensing technologies in agricultural drought and flood monitoring,crop growth status assessment,and environmental monitoring.However,despite significant progress in multi-source remote sensing technology,several challenges remained in its application for agricultural water resources perception.These challenges included difficulties in information integration between platforms,lack of standardization in data processing,room for improvement in model performance,and the need to enhance the conversion and service capabilities of research outcomes.Looking ahead,future research should focus on building high spatiotemporal collaborative observation systems,developing platform-based and intelligent data processing workflows,promoting modeling methods that integrated mechanisms with intelligence,and deepening the fusion of remote sensing services with practical application scenarios,aiming to provide stronger support for the realization of smart agriculture and the achievement of sustainable development goals.关键词
多源遥感/农业水利/信息感知/天-空-地一体化/智慧农业Key words
multi-source remote sensing/agricultural water resources/information perception/sky space-ground integration/smart agriculture分类
农业科技引用本文复制引用
张智韬,刘彦甫,胡笑涛,陈俊英,边江,杨晓飞,钱龙..多源遥感数据驱动的农业水利信息感知与应用研究进展[J].农业机械学报,2025,56(8):1-20,20.基金项目
国家重点研发计划项目(2022YFD1900404)和国家自然科学基金项目(51979232、52179044) （2022YFD1900404）
