地球科学进展 ›› 2016, Vol. 31 ›› Issue (5): 471 -480. doi: 10.11867/j.issn.1001-8166.2016.05.0471.

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彭志兴( ), 周纪 *( ), 李明松   
  1. 1.电子科技大学 资源与环境学院,四川 成都 611731
    2.电子科技大学 信息地学研究中心,四川 成都 611731
  • 收稿日期:2016-02-28 修回日期:2016-04-20 出版日期:2016-05-20
  • 通讯作者: 周纪 E-mail:scxhpzx@sina.com;jzhou233@uestc.edu.cn
  • 基金资助:

Review of Methods for Simulating Land Surface Temperature at the Pixel Scale Based on Ground Measurements over Heterogeneous Surface

Zhixing Peng( ), Ji Zhou *( ), Mingsong Li   

  1. 1.School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
    2.Information Geoscience Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2016-02-28 Revised:2016-04-20 Online:2016-05-20 Published:2016-05-10
  • Contact: Ji Zhou E-mail:scxhpzx@sina.com;jzhou233@uestc.edu.cn
  • About author:

    First author:Peng Zhixing(1991-), male, Xuanhan County, Sichuan Province, Master Student. Research areas include 3D scene reconstruction and validation of remotely sensed land surface temperature product.E-mail:scxhpzx@sina.com

    Corresponding author:Zhou Ji(1983-), male, Nanchong City, Sichuan Province, Associate Professor. Research areas include validation of remotely sensed land surface temperature and retrieval of land surface temperature based on thermal infrared and passive microwave remote sensing.E-mail:jzhou233@uestc.edu.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Surface temperature simulation at the pixel scale for heterogeneous surfaces based on 3D modeling and component emissions separation”(No.41371341);The Chinese State Key Basic Research Project “Dynamic analyses and modeling based on remote sensing information in relation to heterogeneous land surfaces”(No.2013CB733406)


Remotely sensed Land Surface Temperature (LST) is a key parameter for studying the global climate changes and the exchanges of water and energy. Acquiring LST accurately is important to diagnose the change of environment on earth. Quantifying the uncertainty of remotely sensed LST is the first step of its application. However, due to the difficulties in obtaining the ground truth of LST at the pixel scale, it is difficult to validate the remotely sensed LST. Here, methods for simulating the LST at the pixel scale based on ground measurements over heterogeneous area were reviewed. From the way to construct the ground scene, these methods were classified into three types, including the Modified Geometric Projection model (MGP), realistic structural three-dimensional model, and other model. The advantages and disadvantages of these models were examined and compared. Finally, some issues in simulating LST at the pixel scale over heterogeneous area needed to be solved and on-going directions in the future were summarized.


图1 太阳光照阴影和传感器观测阴影的相互关系 [ 28 ]
Fig.1 The relationship between the actual shadow on the ground and shadow observed by the satellite sensor [ 28 ]
图2 在光照—观测几何条件下投影到规则格网上的面积图示 [ 16 ]
Fig.2 Schematic diagram of projected areas on the fine regular grid under a given illumination and viewing geometry [ 16 ]
图3 DART模型系统图示 [ 32 ]
Fig.3 Schematic diagram of the DART model [ 32 ]
图4 DART模型透视投影图示 [ 21 ]
Fig.4 Schematic diagram of the DART perspective projection [ 21 ]
表1 各种方法比较
Table 1 Comparison of different methods
表2 遥感LST升尺度应用
Table 2 Application of remotely sensed LST upscaling
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