热红外与被动微波遥感协同反演地表温度研究进展
Research Progress of Land Surface Temperature Synergeticly Retrieval from Thermal Infrared and Passive Microwave Remote Sensing

DOI: 10.12677/GSER.2016.52005, PP. 39-48

Keywords: 地表温度，协同反演，热红外，被动微波
LST, Cooperative Inversion, Thermal Infrared, Passive Microwave

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Abstract:

作为地表与大气界面的关键参量，地表温度是全球与区域气候变化的指示因子。本文首先分别阐述了热红外与被动微波的优劣势，指出将两者协同反演地表温度的必要性。在此基础上着重归纳阐述热红外与被动微波遥感协同反演地表温度的研究进展。随后讲述了热红外与被动微波遥感的三种协同机制即空间尺度匹配、有效温度与肤面温度转换和空间分辨率提升。其中空间尺度匹配问题可利用几何光学模型加以解决。根据热传导方程计算出地表一定深度下地表辐射对有效温度的贡献量，得到地表有效温度，可提高地表温度的反演精确，使地表温度的反演研究更具有实际意义。同时对低分辨率被动微波遥感数据的空间分辨率提升提出了构想。最后归纳总结了目前的进展和面临的问题，并就目前形势提出了未来研究的方向。
As a key parameter of surface and atmosphere, the land surface temperature (LST) is the indicator of global and regional climate change. Firstly, the advantages and disadvantages of thermal infrared and passive microwave remote sensing are expounded in this paper, and the necessity of combining passive microwave with thermal infrared remote sensing to retrieve LST is pointed out. On this basis, the research progress of combining thermal infrared with passive microwave to retrieve LST is focused on. Then this paper describes three kinds of coordination mechanisms of thermal infrared and passive microwave remote sensing, including spatial scale matching, effective temperature and LST conversion and spatial resolution enhancing. Among these, the spatial scale matching problem can be solved by using the geometrical optics model. Calculating the contribution of surface radiation at a certain depth to the effective temperature based on the heat conduction equation to obtain effective temperature of the surface can improve the inversion accuracy of LST, so that the LST inversion research will make more practical significance. At the same time, the conception to improve the spatial resolution of passive microwave is put forward. In the end, the author summarizes the current progress and problems, and puts forward the direction of future research.

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