FY-3微波成像仪地表参数反演研究

风云3号卫星FY-3是实现全球、全天候、三维、定量、多光谱遥感的我国第2代极轨气象卫星系列。风云3号气象卫星资料中含有丰富的生态环境变化信息,既可以用于对水、火、冰、雪等灾害的监测,也可以用于对植被、土地利用、气溶胶参量的分析。这些结果将会对农业、林业、环境、市政、交通以及政府决策部门提供有效的决策服务。其中搭载的微波成像仪为我国第一个星载微波遥感仪器,其设计频率为10.65 GHz、18.7 GHz、23.8 GHz、36.5 GHz、89 GHz,每个频率有V、H两种不同极化模式,相应的星下点空间分辨率分别为51 km×85 km、30 km×50 km、27 km×45 km、18 km×30 km、9 km×15 km根据FY-3微波成像仪传感器参数特性,利用微波地表辐射传输方程,在10.65、18.7 GHz频段上模拟了地表微波辐射特性,在此基础上建立了地表参数反演算法,可以同时得到地表土壤水分和地表温度参数。

On the Estimation of Land Surface Parameters by Using FY-3A Microwave Radiometer Imager(MWRI)

FY3 is new generation polar orbit meteorological satellite of China plan to launch in 2006. There is total of 11 different remote sensing sensor onboard it, design to get the geophysical parameters of atmosphere, land, and ocean surfaces at the same time all day and night and in all weather conditions. The MWRI is a 10-channel five-frequency linearly polarized, passive microwave radiometer imager system onboard the FY3, which measures atmospheric, ocean, and terrain microwave brightness temperatures at 10.65, 18.7, 22.3, 36.5, and 89 GHz. In this paper, in order to derive surface temperature and soil moisture from the MWRI data, a new developed microwave RT model, AIEM was used to simulate the microwave emission characteristic of bare soil, and an new surface soil moisture inversion algorithm was established, which is only need the 10.65GHz V and H channel data. Applying the algorithm to AMSR-E orbit data, which is very similar with the FY3/MWRI, the daily globe soil moisture and surface temperature distribution was derived.