基于地面观测的异质性下垫面像元尺度地表温度模拟研究进展

doi:10.11867/j.issn.1001-8166.2016.05.0471.

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

彭志兴(

), 周纪 ^*(

), 李明松

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:
国家自然科学基金面上项目“基于三维建模与组分发射辐射分离的异质性场景像元尺度表面温度模拟研究”(编号:41371341);国家重点基础研究发展计划项目“复杂地表遥感信息动态分析与建模”(编号:2013CB733406)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.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)

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遥感反演的地表温度是研究全球气候变化和区域水分与能量交换的关键参数,准确获取地表温度对诊断地球环境变化意义重大。然而在异质性下垫面,像元尺度地表温度相对真值获取困难,导致遥感反演的地表温度的不确定性难以准确评估,影响了遥感反演的地表温度的深入应用。梳理了基于地面观测数据的异质性下垫面像元尺度地表温度模拟研究进展,依据模型是否构建真实空间分布,归纳了修正几何投影模型、真实结构三维模型和其他模型等,并对比了几种模型的优缺点。最后,指出了异质性下垫面像元尺度地表温度模拟中尚待解决的问题,并探讨了以后的研究方向。

关键词: 地表温度, 像元尺度, 异质性, 遥感

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.

Key words: Land Surface Temperature, Pixel scale, Heterogeneous surface, Remote sensing.

中图分类号:

P423.7

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

方法	模型精度	是否需要构建三维场景	方法实现难度	视场类型	时间复杂度	适用范围
MGP	一般	不需要	一般	平面	较小	简单自然地表
DART	较高	需要	困难	任意	较大	全部地表
SUM	较高	需要	一般	任意	较大	城市地表,可扩展至自然地表
TRGM	较高	需要	困难	任意	较大	穗期小麦等微尺度结构

表1 各种方法比较

Table 1 Comparison of different methods

方法	模型精度	是否需要构建三维场景	方法实现难度	视场类型	时间复杂度	适用范围
MGP	一般	不需要	一般	平面	较小	简单自然地表
DART	较高	需要	困难	任意	较大	全部地表
SUM	较高	需要	一般	任意	较大	城市地表,可扩展至自然地表
TRGM	较高	需要	困难	任意	较大	穗期小麦等微尺度结构

表2 遥感LST升尺度应用

Table 2 Application of remotely sensed LST upscaling

传感器	轨道	升尺度方法	星下点空间分辨率	时间分辨率	主要研究工作
AVHRR	极轨	MGP	1.1 km	逐日	Pinheiro等^{[ 14 ]}
MODIS	极轨	MGP/DART	1 km	逐日	Ermida等^{[ 16 ]}; Guillevic等^{[ 13 , 20 , 48 ]}
VIIRS	极轨	DART	750 m	逐日	Guillevic等^{[ 48 ]}
SEVIRI	静止	MGP/DART	3 km	15分钟	Ermida等^{[ 16 ]}; Guillevic等^{[ 13 ]}; Rasmussen等^{[ 15 ]}

表2 遥感LST升尺度应用

Table 2 Application of remotely sensed LST upscaling

传感器	轨道	升尺度方法	星下点空间分辨率	时间分辨率	主要研究工作
AVHRR	极轨	MGP	1.1 km	逐日	Pinheiro等^{[ 14 ]}
MODIS	极轨	MGP/DART	1 km	逐日	Ermida等^{[ 16 ]}; Guillevic等^{[ 13 , 20 , 48 ]}
VIIRS	极轨	DART	750 m	逐日	Guillevic等^{[ 48 ]}
SEVIRI	静止	MGP/DART	3 km	15分钟	Ermida等^{[ 16 ]}; Guillevic等^{[ 13 ]}; Rasmussen等^{[ 15 ]}

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