Application of Remote Sensing and Geographic Information Systems for Natural Resource Management of Forest Ecosystems
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: 30 April 2025 | Viewed by 132
Special Issue Editors
Interests: geomatics applied to forest and environmental resources; management of geoinformatics (GIS); passive and active remote sensors; forest management; forestry; multivariate analysis and machine learning with spectral information
Special Issues, Collections and Topics in MDPI journals
Interests: forest ecology; dendroecology; climate change; spatial analysis; remote sensing; UAV technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing and Geographic Information Systems (GISs) are essential technologies and tools for the effective management of natural resources in forest ecosystems. Their integration allows for the analysis of not only information obtained remotely, but also information collected directly, whether meteorological, soil, or field measurements of forest attributes. Technological advancement and the development of new tools for forest management have enabled better decision making in modern silviculture. Information derived from unmanned aerial vehicles equipped with sensors and cameras that can capture data through high-resolution images using Light Detection and Ranging (LiDAR) technology is integrated into GIS through novel machine learning algorithms for more accurate and up-to-date analysis.
This Special Issue of Forests focuses on the integration of remote sensing with GIS applied to forest management and monitoring. Research articles can focus on any aspect in which GIS is applied to assess forest ecosystems using satellite imagery, drone imagery, LiDAR technology, and the analysis of direct measurement data such as meteorological and historical records. We also welcome studies in which remote sensing and GIS support research in forest ecology and the development of data-driven management strategies for ecological modeling and the performance of studies on forest ecosystem dynamics.
Dr. Pablito M. López-Serrano
Dr. Marín Pompa-García
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. 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
- remote sensing
- geographic information systems (GISs)
- machine learning
- forest management
- geoprocessing and spatial analysis
- unmanned aerial vehicles
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