CAJ | 학술논문

使用高级积分方程模型,模拟多个地表参数条件下的风云三号B星微波成像仪( FY-3B/MWRI)资料。基于模拟数据,分析地表微波辐射特性,利用粗糙地表发射率Qp 模型,建立我国西部地区裸露地表土壤湿度反演模型。将该模型用于我国西部地区4个日期(2011年10月8日、10月18日、10月28日和11月8日)的土壤湿度反演,并将反演结果用实测数据进行交叉验证。结果表明：反演土壤湿度与实测土壤湿度的决策系数R2为0.604,均方根误差为0.0305 cm3/cm3,反演模型具有较高的反演精度。
사용고급적분방정모형,모의다개지표삼수조건하적풍운삼호B성미파성상의( FY-3B/MWRI)자료。기우모의수거,분석지표미파복사특성,이용조조지표발사솔Qp 모형,건립아국서부지구라로지표토양습도반연모형。장해모형용우아국서부지구4개일기(2011년10월8일、10월18일、10월28일화11월8일)적토양습도반연,병장반연결과용실측수거진행교차험증。결과표명：반연토양습도여실측토양습도적결책계수R2위0.604,균방근오차위0.0305 cm3/cm3,반연모형구유교고적반연정도。
This paper focuses on soil moisture retrieval study based on the measurements from the microwave radiation imager (MWRI) on board China's second-generation polar-orbiting meteorological satellite (FY-3). The advanced integral equation model ( AIEM ) was used to simulate FY -3 B/MWRI radiance data for multiple surface parameters, and a soil moisture retrieval model is built based on the simulated radiance data. The model was used to retrieve bare soil moisture from four imageries acquired respectively on October 8 th and 18 th and 28 th and November 8th in Northwest China. The retrieved soil moisture were evaluated by measured data. The results show that the determination coefficient between the retrieved and measured soil moistures is 0 . 604 , the RMSE is 0. 030 5 cm3/cm3 , and hence the retrieved soil moisture is in good agreement with the measured data.