GNSS-R土壤湿度估算体系架构研究与初步实现

Abstract

土壤湿度估算是全球导航卫星系统(global navigation satellite system,GNSS)反射信号遥感技术(GNSS reflec-tometry,GNSS-R)重要研究领域之一,近年来国内外学者在GNSS-R土壤湿度估算的理论可行性、信号接收处理方式、地基/空基试验、估算模型及其精度评价等方面做了大量研究工作,对GNSS-R陆面遥感技术应用起到了积极的推动作用.在对GNSS-R土壤湿度估算的研究成果进行梳理的基础上,建立GNSS-R土壤湿度估算体系架构,利用MATLAB进行土壤湿度估算模型集成与软件实现.结合研究机构公开数据集对软件中的估算模型和功能进行验证,表明该软件能够为开展GNSS-R土壤湿度估算的数据处理、模型验证等提供技术支持.

Soil moisture content estimation is one of the important research fields in the GNSS-R (Global Navigation Satellite System Reflectometry,GNSS-R) land surface remote sensing.In recent years,many experts have done a lot of research on the theories of soil moisture estimation,receiving and processing of GNSS reflected signals,ground-based/air-borne experiment,estimation model and accuracy evaluation,which has greatly promoted the development of GNSS-R land surface remote sensing technique.Based on the previous research results,the authors built the framework of soil moisture estimation using GNSS-R and carried out the initial software implementation by integrating different estimation models.By verifying the models and functions of the software using public datasets for GNSS-R research,it is demonstrated that the software can provide effective technical support for GNSS-R data processing and model validation in soil moisture estimation.