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选择查干湖陆区为研究区,应用TM热红外遥感图像,采用遥感模型以及理论定位算法,对农田地表热通量的相关参数进行反演,分析不同土地覆盖类型对地表热通量以及能量平衡的影响,以实测数据进行了验证。结果表明:遥感模型应用于地表通量估算是可行的,可以减少在下垫面结构复杂的区域进行地表热通量估算时所需的参数,不同下垫面地表覆盖类型对地表热通量的影响差异较显著,水田的地表通量参数大于旱田。
The study area of Chagan Lake was selected as study area. The TM thermal infrared remote sensing image was used. The remote sensing model and theoretical location algorithm were used to invert the related parameters of farmland surface heat flux. The effects of different land cover types on surface heat flux and energy The balance of the impact of the measured data was verified. The results show that the application of remote sensing model to the estimation of surface fluxes is feasible and can reduce the parameters needed for surface heat flux estimation in the complex surface area of underlying surface. The influence of surface cover types on surface heat flux The difference is significant, and the surface flux parameters of paddy field are higher than that of dry field.