Hyperspectral and Thermal Remote Sensing for Precision Agriculture and Environmental Monitoring
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 3
Special Issue Editors
Interests: hyperspectral imaging; thermal remote sensing; precision agriculture; environmental monitoring; irrigation management; earth observation; machine learning in remote sensing.
Interests: remote sensing; irrigation scheduling; evapotranspiration; digital and precision agriculture; soil–crop–atmosphere; soil–water balance, irrigation water accounting, machine learning, irrigated areas mapping.
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Special Issue Information
Dear Colleagues,
Hyperspectral and thermal remote sensing have emerged as powerful tools for advancing precision agriculture and environmental tracking. The technologies have the capability to provide complete spectral and thermal information that can be utilized to estimate vegetation health, water stress, soil characteristics, and environmental shifts within high spatial and temporal resolutions. The integration of the spectra of hyperspectral and thermal sensors offers new opportunities for mapping crop biophysical parameters, early disease detection, and advancing sustainable land and water management practices.
This Special Issue of Remote Sensing aims to gather original research articles, technical notes, and comprehensive reviews on new methodologies, applications, and case studies that utilize hyperspectral and thermal remote sensing for agricultural and environmental applications.
Areas of interest include, but are not limited to, the following:
- Hyperspectral and thermal data acquisition from UAV, airborne, and satellite platforms;
- Methods of image processing, calibration, and atmospheric correction;
- Multi-sensor data fusion and machine learning for feature extraction;
- Applications in irrigation management, crop monitoring, and disease detection;
- Environmental assessment, land cover mapping, and disaster monitoring.
We invite submissions from researchers and practitioners that describe original approaches, sound methodologies, and influential case studies.
Dr. Salvatore Falanga Bolognesi
Dr. Oscar Rosario Belfiore
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 imaging
- thermal remote sensing
- precision agriculture
- environmental monitoring
- irrigation management
- earth observation
- UAV and satellite applications
- machine learning in remote sensing
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