Quantitative analysis between land surface temperature and radiation covered by clouds

Fei WANG; Zhihao QIN; Wei FAN; Shengmao ZHANG

doi:10.11834/jrs.20198151

Views : 0 下载量: 69 CSCD: 2 更多指标

PDF
Export
Share
Collection
Album

Quantitative analysis between land surface temperature and radiation covered by clouds
Vol. 23, Issue 6, Pages: 1113-1122(2019)
Published： 2019-11 ，

Accepted： 22 May 2018
DOI： 10.11834/jrs.20198151

扫描看全文

王斐, 覃志豪, 樊伟, 张胜茂. 2019. 云下地表温度与辐射变化关系的定量分析. 遥感学报, 23(6): 1113–1122

Wang F, Qin Z H, Fan W and Zhang S M. 2019. Quantitative analysis between land surface temperature and radiation covered by clouds. Journal of Remote Sensing, 23(6): 1113–1122
王斐, 覃志豪, 樊伟, 张胜茂. 2019. 云下地表温度与辐射变化关系的定量分析. 遥感学报, 23(6): 1113–1122 DOI： 10.11834/jrs.20198151.

Wang F, Qin Z H, Fan W and Zhang S M. 2019. Quantitative analysis between land surface temperature and radiation covered by clouds. Journal of Remote Sensing, 23(6): 1113–1122 DOI： 10.11834/jrs.20198151.

摘要

云下对地表温度一直是热红外遥感研究的难点，云下地表温度的变化不仅受到到达地表的辐射强度的影响，还与地表覆盖类型的热力学性质有关，本文通过开展野外观测实验，并利用地表能量平衡模型模拟地表温度在不同辐射条件的变化情况，以期获得不同地表类型的地表温度与辐射变化的定量关系，结果表明，在云覆盖情况下，到达地表面的辐射值减小，地表温度也随之减小，当云覆盖前地表温度越高，云覆盖后地表温度的变化幅度就越大，不同地表类型的云下地表温度在单位时间(min)内发生的温度值的单位变化量所需辐射值的变化量与云覆盖前温度高低呈线性关系。在长时间云覆盖情况下，地表温度的下降速度随着云覆盖时间的增加而不断放缓，当云层覆盖一定时间(10—20 min)后，地表温度会达到一个相对稳定的状态。

Abstract

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.

关键词

遥感地表温度云覆盖地表能量平衡模型热红外

Keywords

remote sensingland surface temperaturecloudsurface energy balance modelinfrare

references

Aires F, Prigent C and Rossow W B. 2004. Temporal interpolation of global surface skin temperature diurnal cycle over land under clear and cloudy conditions. Journal of Geophysical Research: Atmospheres, 109(D4): D04313

Allen R G, Tasumi M and Trezza R. 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—model. Journal of Irrigation and Drainage Engineering, 133(4): 380–394

Bastiaanssen W G M, Menenti M, Feddes R A and Holtslag A A M. 1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology, 212-213: 198–212

Best M J. 1998. A model to predict surface temperatures. Boundary-Layer Meteorology, 88(2): 279–306

Gallo K, Hale R, Tarpley D and Yu Y Y. 2011. Evaluation of the relationship between air and land surface temperature under clear- and cloudy-sky conditions. Journal of Applied Meteorology and Climatology, 50(3): 767–775

Idso S B, Aase J K and Jackson R D. 1975. Net radiation — soil heat flux relations as influenced by soil water content variations. Boundary-Layer Meteorology, 9(1): 113–122

Jin M L and Dickinson R E. 2000. A generalized algorithm for retrieving cloudy sky skin temperature from satellite thermal infrared radiances. Journal of Geophysical Research: Atmospheres, 105(D22): 27037–27047

刘梅, 覃志豪, 涂丽丽, 张军. 2011. 利用NDVI估算云覆盖地区的植被表面温度研究. 遥感技术与应用, 26(5): 689–697

Liu M, Qin Z H, Tu L L and Zhang J. 2011. Study on estimation of vegetation surface temperature in cloudy region by NDVI. Remote Sensing Technology and Application, 26(5): 689–697

Lu L, Venus V, Skidmore A, Wang T J and Luo G P. 2011. Estimating land-surface temperature under clouds using MSG/SEVIRI observations. International Journal of Applied Earth Observation and Geoinformation, 13(2): 265–276

Minnis P and Harrison E F. 1984. Diurnal variability of regional cloud and clear-sky radiative parameters derived from GOES data. Part I: analysis method. Journal of Climate and Applied Meteorology, 23(7): 993–1011

Qin Z H, Berliner P and Karnieli A. 2002. Numerical solution of a complete surface energy balance model for simulation of heat fluxes and surface temperature under bare soil environment. Applied Mathematics and Computation, 130(1): 171–200

苏洁, 徐军, 刘丽强, 戴一锋. 2013. 利用NDVI估算云覆盖区的地表温度. 地理空间信息, 11(5): 25–28

Su J, Xu J, Liu L Q and Dai Y F. 2013. Estimation of land surface temperature in covered region of Landsat TM image based on NDVI. Geospatial Information, 11(5): 25–28

涂丽丽, 覃志豪, 张军, 刘梅, 耿君. 2011. 基于空间内插的云下地表温度估计及精度分析. 遥感信息(4): 59–63, 106

Tu L L, Qin Z H, Zhang J, Liu M and Geng J. 2011. Estimation and error analysis of land surface temperature under the cloud based on spatial interpolation. Remote Sensing Information(4): 59–63, 106

王斐. 2017. 热红外遥感图像中有云像元地表温度估算方法研究. 南京: 南京大学, 57-58

Wang F. 2017. An approach to estimate land surface temperature for cloud-covered pixels in thermal infrared images. Nanjing: Nanjing University, 57-58

杨世铭, 陶文铨. 1998. 传热学. 3版. 北京: 高等教育出版社: 556-560

Yang S M and Tao W Q. 1998. Heat Transfer. 3rd ed. Beijing: Higher Education Press: 556-560

张军, 覃志豪, 刘梅, 涂丽丽, 周义, 杨强. 2011. 利用空间插值法估算云覆盖像元地表温度的可行性研究. 地理与地理信息科学, 27(6): 45–49

Zhang J, Qin Z H, Liu M, Tu L L, Zhou Y and Yang Q. 2011. Estimating of land surface temperature under the cloud cover with spatial interpolation. Geography and Geo-Information Science, 27(6): 45–49

周义, 覃志豪, 包刚. 2012. GIDS空间插值法估算云下地表温度. 遥感学报, 16(3): 492–504

Zhou Y, Qin Z H and Bao G. 2012. Land surface temperature estimation under cloud cover with GIDS. Journal of Remote Sensing, 16(3): 492–504

周义, 覃志豪, 包刚. 2013. 热红外遥感图像中云覆盖像元地表温度估算初论. 地理科学, 33(3): 329–334

Zhou Y, Qin Z H and Bao G. 2013. A Preliminary view on the estimation of land surface temperature under cloud cover from thermal remote sensing data. Scientia Geographica Sinica, 33(3): 329–334

Alert me when the article has been cited

提交

A review of spatiotemporal fusion methods for remotely sensed land surface temperature

Research on deep learning methods for AMSR-E land surface temperature data reconstruction

Assessment of thermal infrared kernel-driven models over row-planted canopies

Land surface temperature downscaling in urban area：A case study of Beijing

Hyperspectral thermal infrared TOA image simulation and preliminary applications