基于地表微波散射模型和SAR遥感数据的农田洪涝淹没区动态监测  

Dynamic monitoring of farmland flood inundated area based on surface microwave scattering model and SAR remote sensing data

作　　者：王芳[1] 丁建闯[1] WANG Fang;DING Jianchuang(North China Institute of Science and Technology,Yanjiao 065201,China)

机构地区：[1]华北科技学院,北京东燕郊065201

出　　处：《华北科技学院学报》2025年第1期85-94,共10页Journal of North China Institute of Science and Technology

基　　金：国家自然科学基金资助项目(41101333);中央高校基本科研业务费资助项目(3142024045)。

摘　　要：农田洪涝淹没区的微波散射依赖于所使用雷达遥感图像的波长、入射角和极化等信息,洪区复杂地表散射特征可以通过地表微波散射模型来进行定量描述。本文利用多时相Sentinel-1遥感影像,解译2021年豫北地区洪灾过程中淹没农田、半淹没农田、居民点建筑和开放水域的地表后向散射特征的动态变化。随后,章综述了农田洪涝淹没区和非淹没区微波散射模型的研究和应用现状,并基于改进的农作物一阶相干散射模型,模拟分析了水稻后向散射系数与植被高度、植被生物量的相关性,为农田洪涝淹没区微波散射模型的构建提供参考。The microwave scattering in the flooded area of farmland depends on the wavelength,incident angle and polarization of the radar remote sensing image used.The complex surface scattering characteristics of the flood area can be quantitatively described by the surface microwave scattering model.In this paper,multi-temporal Sentinel-1 remote sensing images are used to interpret the dynamic changes of surface backscattering characteristics of submerged farmland,semi-submerged farmland,residential buildings and open waters during the flood process in northern Henan in 2021.Then,the research and application status of microwave scattering models in flooded and non-flooded areas of farmland are reviewed.Based on the improved first-order coherent scattering model of crops,the correlation between rice backscattering coefficient and vegetation height and vegetation biomass is simulated and analyzed,which provides a reference for the construction of microwave scattering models in flooded areas of farmland.

关 键 词：洪水灾害 农田淹没区 植被微波散射模型 Sentinel-1 二面角散射 

分 类 号：TN958[电子电信—信号与信息处理] S152.7[电子电信—信息与通信工程]