Applications of Hyperspectral Thermal Infrared Data in Land Surface
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 663
Special Issue Editors
Interests: thermal infrared remote sensing; land surface; temperature retrieval; land surface temperature retrieval; land surface temperature validation; scale effects and scaling
Interests: retrieval and validation of land surface temperature/emissivity; retrieval and validation of net surface radiation; radiative transfer modeling
Special Issues, Collections and Topics in MDPI journals
Interests: thermal infrared remote sensing; land surface temperature; land surface emissivity; radiative transfer modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral thermal infrared data contain rich long-wave spectral information, which can precisely reflect the unique diagnostic characteristics of the thermal infrared spectrum. At the same time, the hyperspectral characteristics can also provide more reasonable assumptions and constraints for the ill-posed inversion of the key thermal infrared characteristic parameters. Therefore, the hyperspectral thermal infrared remote sensing has important research value and application prospects.
Since its conception, hyperspectral thermal infrared remote sensing technology has rapidly developed on the basis of absorbing multispectral thermal infrared remote sensing technology, and has become an important research direction and breakthrough point in thermal infrared remote sensing research. With the development of sensors and remote sensing data, the application of hyperspectral thermal infrared remote sensing has begun to take shape. Specifically, there is a wide range of land surface applications, including land surface temperature and land surface emissivity retrieval, mineral identification and geological mapping, petroleum hydrocarbon compound detection, fire remote sensing monitoring, vegetation water stress detection, and others. We are facing the rapid development of hyperspectral infrared remote sensing applications. This is a good opportunity to present the land surface applications of hyperspectral thermal infrared data.
This Special Issue aims to demonstrate recent efforts in and contributions to the applications of hyperspectral thermal infrared data in land surface, including but not limited to:
- Advances and pre-research in hyperspectral thermal infrared remote sensing sensors;
- Approaches to dealing with hyperspectral thermal infrared remote sensing data, such as atmospheric effect correction, land surface temperature and emissivity separation, and the integrated inversion of surface and atmospheric parameters;
- Studies for target detection and identification, as well as resources and environment monitoring using hyperspectral thermal infrared remote sensing;
Methodologies for multi-source data integration or fusion, i.e., the combination of NIR, SWIR, multispectral TIR or hyperspectral TIR data; - Scientifical reports of hyperspectral thermal infrared campaigns, including calibration and validation.
Dr. Hua Wu
Dr. Bohui Tang
Dr. Sibo Duan
Dr. Yonggang Qian
Guest Editors
Manuscript Submission Information
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. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind 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 semimonthly 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 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- hyperspectral thermal infrared sensors
- atmospheric effect correction
- land surface temperature and emissivity separation
- target detection and identification
- resources and environment monitoring
- data fusion
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
