Progress and prospects of multi-source remote sensing monitoring and research on flood disasters

Abstract

Flood disasters, as common natural disasters, have a wide range of impacts on human life safety, infrastructure, housing construction, agriculture, natural environment, and economy. Against the backdrop of climate change, extreme precipitation events and the flood disasters induced by them are becoming increasingly frequent and severe. Therefore, scientific monitoring and assessment are crucial for disaster prevention and mitigation decisions, and enhancing their timeliness and accuracy is an urgent need for strengthening disaster management. This article summarizes the core technologies and processes of flood disaster monitoring and assessment, refining its monitoring work into four core modules: remote sensing data acquisition, disaster information extraction technology, flood disaster spatiotemporal feature analysis, and risk assessment. It further analyzes the mechanisms, [Methods]and application practices of each module, and explores their advantages and limitations. Finally, the article looks forward to the future development direction of remote sensing monitoring of agricultural flood disasters, emphasizes the importance of interdisciplinary research, and advocates the comprehensive application of remote sensing, GIS, and artificial intelligence technologies to enhance the monitoring capability of agricultural flood disasters and mitigate their impact on agricultural production.

Keywords

flood disaster / remote sensing data / disaster information extraction / spatiotemporal characteristics / agricultural