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Quantitative analysis between land surface temperature and radiation covered by clouds

  • role： First author第一作者
  • Affiliation：

    East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China

  • Email：essiwf@163.com
  • Introduction：王斐，1987年生，男，博士，研究方向为热红外遥感的理论和应用。E-mail：essiwf@163.com
WANG Fei1,  
  • Affiliation：

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

QIN Zhihao2,  
  • Affiliation：

    East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China

FAN Wei1,  
  • role： Corresponding author通信作者
  • Affiliation：

    East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China

  • Email：ryshengmao@126.com
  • Introduction：张胜茂，1976年生，男，博士，研究方向为渔业遥感及GIS应用。E-mail：ryshengmao@126.com
ZHANG Shengmao1*

Resümee

Thermal Infrared Remote Sensing (TIRS) data from earth observation system have been extensively used in agricultural applications, land survey, drought monitoring, ecology analysis, and many studies on surface processes of land–air interaction. Clouds are an essential obstacle in Remote Sensing (RS) applications and Land Surface Temperature (LST) retrieval from the TIRS data. However, a few studies have investigated the mechanism of LST change under the complicated impacts of clouds, thereby leading to the estimation of LST for cloud-covered pixels to remain unsolved in existing TIRS studies. LST change under cloud cover is mainly governed by the variation in solar radiation that reaches the cloud-covered ground and thermodynamic property of the land surface. This study aims to present an approach to estimating the LST covered by clouds based on the relationship between LST and radiation through the simulation of a surface energy balance model. The quantitative relationship between LST and radiation is estimated using the surface energy balance model and compared with field observation data. LST covered by the cloud under different conditions of surface solar radiation are simulated with the surface energy balance model. An interesting phenomenon is observed from the simulated result. The LST under the cloud decreases with minimal radiation that reaches the surface. The variation in radiation required for the LST change to 1 ℃ in unit time has a linear relationship with the LST value before cloud cover. The LST for cloud cover becomes a relatively stable value after 10–20 min under cloud cover. The LST covered by a rectangle with collective cloud parameters is simulated. The LST under cloud cover changes with the movement of the clouds. LST in front of the cloud along its moving direction is much higher than the middle and back area cover by the cloud after simulated with a hypothetical homogeneous rectangle cloud.

Schlüsselwort

remote sensing;land surface temperature;cloud;surface energy balance model;infrare

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