سابِق|تال

Retrieval and validation of the land surface temperature from FY-3D MERSI-II

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

    School of Remote Sensing & Geomatics Engineering, NUIST, Nanjing 210044, China

  • Email：chengyuanliang@nuist.edu.cn
  • Introduction：程元良，1999年生，男，博士研究生， 研究方向为地表温度遥感反演与验证。E-mail： chengyuanliang@nuist.edu.cn
CHENG Yuanliang12,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

  • Email：wuh@lreis.ac.cn
  • Introduction：吴骅，1980生，男，研究员，研究方向为热红外遥感、尺度转换与真实性检验。E-mail：wuh@lreis.ac.cn
WU Hua1*,  
  • Affiliation：

    Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing 100081, China

LI Zhaoliang3,  
  • Affiliation：

    Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

QIAN Yonggang4

ملخص

Surface temperature is an important variable that determines surface radiation energy budget, and plays an important role in the study of energy balance and water balance in the lithosphere, hydrosphere, biosphere and atmosphere. Thermal infrared remote sensing technology can be used to achieve rapid acquisition of regional and global land surface temperature, which has been widely concerned by researchers. At present, FY-3D is the earth observation satellite with the highest spectral resolution in China, which has greatly improved the earth observation capability. The Moderate Resolution Spectral Imager (MERSI-II) carried by FY-3D has been greatly upgraded and improved, and its performance has been significantly improved. The spatial resolution of thermal infrared data has reached 250 m. In this paper, the atmospheric radiation transfer model MODTRAN 5 is used to simulate the MERSI-II thermal infrared channel satellite observations. On this basis, construct the land surface temperature inversion model of the generalized split-window. Combined with ASTER GED global surface emissivity product and MERSI-II atmospheric water vapor content inversion algorithm, the technical process system of remote sensing inversion of land surface temperature is developed. Finally, the proposed method was verified by using the measured surface temperature data from several stations in the Wuhai of Inner Mongolia and SURFRAD stations in the United States in August 2019. The results show that compared with the measured surface temperature data, the RMSE of the land surface temperature inversion based on the generalized split-window algorithm is between 1.6 K and 2.6 K for all sites. The accuracy of inversion has reached the expected target, and it has a high spatial resolution, which can be used in the inversion of operational surface temperature. At the same time, it also shows that the accuracy of radiometric calibration is guaranteed to a certain extent, which effectively meets the application requirements of regional and global surface temperature remote sensing monitoring.

مفهوم

land surface temperature;split-window algorithm;FY-3D;MERSI-II;MODTRAN

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