Advances in Vegetation Structure Modeling to Support Acquisition of Sustainable Development Goals Through Forest Management (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 13
Special Issue Editors
Interests: GIS; remote sensing; natural hazards and resources; land management
Special Issues, Collections and Topics in MDPI journals
2. iuFOR, Campus Universitario Duques de Soria, University of Valladolid, 42004 Soria, Spain
3. GEOFOREST, Department of Geography, University of Zaragoza, Pedro Cerbuna 12, 50009 Zaragoza, Spain
Interests: remote sensing; forestry; geography; spatial analysis; land-use change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Two of the Sustainable Development Goals (SDGs) established in the 2030 Agenda are dedicated to environmental stewardship through climate action and the protection of terrestrial ecosystems. The achievement of these goals relies on sustainable forest management.
The development of 3D remote sensing technologies—such as LiDAR and Radar—in conjunction with Structure-from-Motion (SfM) techniques applied to Unmanned Aerial Vehicle (UAV) data, constitutes a significant advancement in forest management. This is primarily due to their capability of accurately capturing the vertical and horizontal structure of vegetation.
In recent years, several complementary technologies to Airborne Laser Scanners (ALSs) have emerged to improve vegetation structure modeling at local scales, including photogrammetry applied to Very-High-Resolution (VHR) images, Terrestrial Laser Scanners (TLSs), and Mobile Laser Scanners (MLSs).
Furthermore, the availability of satellite LiDAR data from missions like the Global Ecosystem Dynamics Investigation (GEDI) and the Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) has enhanced vegetation analysis at national and global scales.
These technological developments have been paralleled by significant progress in modeling methods, transitioning from empirical approaches (both parametric and non-parametric statistical methods) to more physical methods, such as Radiative Transfer Models (RTMs), particularly 3D RTMs.
Relevant topics may encompass a wide range of variables pertaining to vegetation resources and hazard modeling and mapping, including, but not limited to, the following:
- Wildfires—fuel parameters, fuel model, severity, vegetation recovery, etc.;
- Disturbance monitoring—pest infestation, prolonged droughts, etc.;
- Dasometry/inventory—height, density, volume, etc.;
- Climate change—carbon stock and CO2 emissions;
- Ecology—biodiversity, pattern analysis, and conservation state.
Dr. María Teresa Lamelas
Dr. Dario Domingo
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. 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
- SDGs
- forest management
- 3D remote sensing
- LiDAR
- radar
- SLS
- ALS
- TLS
- MLS
- UAV
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
