Advances in Remote Sensing for Forest Resource Monitoring and Management
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 174
Special Issue Editors
Interests: remote sensing; synthetic aperture radar; vegetation monitoring; land use land cover; image classification
Interests: thermal infrared remote sensing; land surface temperature; surface heat island; SAR backscattering; spectral indexes; land use land cover analysis; forest fire monitoring; wildfire monitoring; vegetation monitoring; albedo retrieval
Special Issue Information
Dear Colleagues,
Forests are vital ecosystems that provide carbon storage, conserve biodiversity, regulate water, and offer socioeconomic benefits. However, they face increasing pressures from deforestation, climate change, and natural disturbances such as fires, storms, and pests. These challenges underscore the importance of accurate, consistent, and large-scale monitoring to inform sustainable management and policy development. Remote sensing has emerged as a key tool for forest observation, delivering spatially and temporally continuous data across local to global scales. Advances in satellite, airborne, and unmanned aerial vehicle (UAV) platforms—along with the use of multispectral, hyperspectral, LiDAR, and synthetic aperture radar (SAR) sensors—are enabling more detailed assessments of forest structure, composition, and dynamics. The integration of multi-source data with machine learning, artificial intelligence, and cloud-based platforms further enhances the capacity to detect change, estimate biomass, and evaluate forest health. This Special Issue, “Advances in Remote Sensing for Forest Resource Monitoring and Management”, compiles research highlighting novel algorithms, applications, and comprehensive reviews. Together, these contributions demonstrate how recent innovations are advancing the precision, scalability, and applicability of remote sensing for sustainable forest monitoring and management in a rapidly changing world.
Prof. Dr. Saygin Abdikan
Dr. Aliihsan Sekertekin
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 250 words) can be sent to the Editorial Office for assessment.
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. Forests 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 2600 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
- forest management
- forest parameter extraction
- tree identification
- deep learning
- machine learning
- forest fire
- carbon and biomass mapping
- LiDAR altimetry
- SAR imagery
- optical imagery
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