Genetic algorithm based surface component temperatures retrieval by integrating MODIS TIR DATA from Terra and Aqua satellites
基于遗传算法综合Terra/Aqua MODIS热红外数据反演地表组分温度

The component temperatures are key parameters in the environment problems. The multi-angle thermal infrared data are important for the retrieval of component temperature. MODIS (Moderate Resolution Imaging Spectroradiometer) is one of the sensors onboard EOS-Terra and EOS-Aqua, two sun-synchronous polar orbiting satellites. The sensitivity analysis shows that the same MODIS bands of Terra and Aqua satellites measures in the same behavior under the same variations of atmospheric water vapor, solar and viewing geometries. These MODIS bands may be considered to be the observations of a satellite at two viewing angles and two viewing times. In the study, the foliage and soil component temperature were retrieved by integrating these MODIS data. Based on linear thermal infrared radiation model, the bands 32 and 33 in Terra-MODIS, or the band 32 in Terra-MODIS and Aqua-MODIS, were separately used to retrieve the vegetation cover ratio, soil component emissivity and temperature, foliage component emissivity and temperature by employing genetic algorithm in Huailai area, Hebei Province. By comparing with the synchronous field measurements, the maximum error in the component temperatures is less than 1℃ for the integrated Terra/ Aqua MODIS data, 0.4℃ smaller than that by just Terra-MODIS data. However, for a pixel, its component temperatures are different by such two group data.