Special Issue "Recent Advances in Thermal Infrared Remote Sensing"


A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 31 December 2014

Special Issue Editors

Guest Editor
Prof. Dr. Zhao-Liang Li
Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
E-Mail: lizhaoliang@caas.cn
Phone: +86 10 82105077
Interests: thermal infrared radiometry; large-scale parameterization of land surface processes; and the assimilation of satellite data to land surface models

Guest Editor
Prof. Dr. Jose A. Sobrino
Global Change Unit, Image Processing Laboratory, Parque Científico, Universityat ofde València, C/ Catedrático José Beltran nº 2, 46980 Paterna (Valencia), Spain
Website: http://www.uv.es/ucg/miembros_sobrino.html
E-Mail: sobrino@uv.es
Phone: +34 96 354 32 61
Fax: +34 96 354 3115
Interests: atmospheric correction in visible and infrared domains; retrieval of emissivity; surface temperature; evapotranspiration; thermal inertia; atmospheric water vapour from satellite image; and the development of remote sensing methods for land cover dynamic monitoring

Guest Editor
Dr. Xiaoning Song
University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100049, China
E-Mail: songxn@ucas.ac.cn
Phone: +86 10 88256376
Fax: +86 1088256415
Interests: soil moisture and evapotranspiration estimation from remotely sensed data; land surface parameter retrievals from radiometry data; and drought monitoring

Special Issue Information

Dear Colleagues,

With the development of remote sensing technology, a series of Earth observation satellites has been launched in recent years. Also, thermal infrared remote sensing measurements have greatly improved in terms of spectral, spatial, and temporal resolution. These improvements will soon produce a clearer picture of the land surface than ever before. At this time, we need to synthesize the current status of the field and illustrate future trends and prospects, so as to exploit new applications of thermal infrared remote sensing. This is a good opportunity to discuss the modeling and application of thermal infrared remote sensing observations.

Thermal infrared remote sensing data have been used to derive surface parameters for a long time. The technology can be traced back to the early 1970s. The main parameters of interest in thermal infrared observation include soil moisture, land surface emissivity, land surface temperature, and evapotranspiration. Because these parameters can reflect the results of all surface-atmosphere interactions and energy fluxes between the surface and atmosphere on both regional and global scales, knowledge of such parameters is critical for the accurate modeling of energy fluxes between the surface and the atmosphere, and for other land process applications (e.g., hydrology, climatology, agronomy, and ecology, among others).

On the basis of different assumptions and approximations, various methods have been proposed to derive those parameters (e.g., the NDVI-based emissivity method for land surface emissivity, the split-window algorithm for land surface temperature, and the VI-Ts triangle/trapezoidal feature space for evapotranspiration). However, there is still no “best method” for retrieving those parameters from space. All of the methods either rely on statistical relationships or assumptions and constraints to solve the inherent, underdetermined retrieval problem. These solutions are not always workable across all circumstances. It is therefore necessary to select the optimum one for a particular case by accounting for sensor characteristics, the required accuracy, computation time, and the availability of auxiliary information. The birth of hyper-spectral, fine-spatial, and multi-temporal thermal infrared data would introduce more advantages and convenience in terms of retrieval and application. Nevertheless, selected topics are being planned to demonstrate the state of the art reflecting the retrieval of land surface parameters from thermal infrared remote sensing measurements and the growing interest in the analyses and applications of those parameters.

Prof. Dr. Zhao-Liang Li
Prof. Dr. Jose A. Sobrino
Dr. Xiaoning Song
Guest Editors


Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs).


  • Overview of collected airborne and satellite thermal infrared data as well as atmosphere and ground data
  • Land surface parameter retrieval from thermal infrared data
  • Application of land surface parameters
  • Integration of remote sensing information into land surface process modeling for energy and water budget modeling

The issue may include, but is not limited to, the above-mentioned topics.

Published Papers (2 papers)

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p. 7005-7025
by , , , ,  and
Remote Sens. 2014, 6(8), 7005-7025; doi:10.3390/rs6087005
Received: 20 May 2014; in revised form: 17 July 2014 / Accepted: 22 July 2014 / Published: 29 July 2014
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(This article belongs to the Special Issue Recent Advances in Thermal Infrared Remote Sensing)
p. 4369-4390
by , , , , , ,  and
Remote Sens. 2014, 6(5), 4369-4390; doi:10.3390/rs6054369
Received: 31 March 2014; in revised form: 29 April 2014 / Accepted: 4 May 2014 / Published: 12 May 2014
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Last update: 5 March 2014

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