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Radiation correction considering geometric effect of urban area and its application in temperature retrieval through remote sensing

  • role： First author第一作者
  • Affiliation：

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

    Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China

  • Email：dyf_cnu@163.com
  • Introduction：狄宇飞，1994年生，男，博士研究生，研究方向为城市热环境、辐射收支的理论和应用。E-mail：dyf_cnu@163.com
DI Yufei12,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

    Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China

  • Email：deyonghu@cnu.edu.cn
  • Introduction：胡德勇，1974年生，男，教授，研究方向为城市遥感、自然灾害监测和评估等。E-mail：deyonghu@cnu.edu.cn
HU Deyong12*,  
  • Affiliation：

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

    Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China

LIU Manqing12,  
  • Affiliation：

    Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China

CHEN Shanshan3,  
  • Affiliation：

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

    Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China

YU Chen12,  
  • Affiliation：

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

    Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China

WANG Yichen12

Resümee

The study of radiometric correction physical model for geometric effects applicable to thermal infrared remote sensing images in urban areas plays an important role in improving the inversion accuracy of underlying surface temperature. In this study, the sky view factor (V) was used to quantify the geometric feature of urban underlying surface, considering the influence mechanism of the geometric effect on radiation transfer of the urban ground target. The radiance observed by the sensor was decomposed into three parts: radiance emitted by ground target, radiance reflected by ground target and upward radiance of the atmosphere, and the radiation transfer process of each part at the “urban -atmosphere” interface was analyzed. Then we constructed the Urban Thermal Radiation Transfer (UTRT) model for the urban underlying surface, which can be applied to the geometric effect radiation correction of thermal infrared remote sensing images in urban areas. Based on Landsat 8 TIRS(Thermal Infrared Sensor) data, the UTRT model was used to inverse surface temperature in a typical urban area of ​​Beijing and compared inversion results to the model without considering geometric feature of the underlying surface. The results demonstrate that: (1)The inversion result of the UTRT model is generally lower than that without considering geometric feature of the underlying surface with the difference range 0—1.57 K and average value 0.44 K. (2) Through the analysis and comparison of different land cover types, the results show that buildings and bare land types have a more significant difference, and their spatial distribution is obviously affected by the V value. The V value is proportional to the inversion result within a specific range. (3) Sensitivity analysis of the sky view factor and ambient temperature parameters were conducted for the UTRT model. The sensitivity of the V parameter is stronger in scenes with small surface emissivity, while the sensitivity is lower due to the ambient temperature being closer to the target feature temperature. The study shows that the UTRT model can provide a solution for the radiation correction of the geometric effects of the remote sensing image in urban underlying surface. Compared with the model that does not consider the geometric feature of the underlying surface, the former can be better applied to the remote sensing inversion of urban surface temperature. This study has development potential and application prospects for advancing the quantitative remote sensing research of urban high-resolution thermal infrared.

Schlüsselwort

thermal radiation transfer model;urban underlying surface;geometric feature;sky view factor;land surface temperature

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