联合光学和微波遥感数据反演根河林区火烧迹地土壤含水量

以内蒙古自治区根河林区的火烧迹地为研究区域，以 Sentinel-1 SAR数据、光学数据及中国气象局陆面数据同化系统（CLDAS）等其他辅助数据为数据源，通过耦合高级积分方程模型（AIEM）模型和水云模型，建立了适用于火烧迹地土壤含水量反演的方法，并对根河地区的火烧迹地土壤含水量进行了分析。

Taking the burned areas in the Genhe Forest Region of Inner Mongolia Autonomous Region as the study area, this research utilized Sentinel-1 SAR data, optical data, and other auxiliary datasets including the China Meteorological Administration Land Data Assimilation System (CLDAS) as data sources. By coupling the Advanced Integral Equation Model (AIEM) and the Water Cloud Model, a method suitable for soil moisture retrieval in burned areas was developed, and the soil moisture content in the burned areas of the Genhe region was analyzed.

搜集汇总

背景与挑战

背景概述

该数据集针对内蒙古根河林区的火烧迹地，通过结合Sentinel-1 SAR、光学数据及气象辅助数据，利用AIEM和水云模型耦合方法，建立了土壤含水量反演技术。其核心目标是对该区域火烧迹地的土壤含水量进行分析，以支持森林生态系统恢复研究。