Applications of Remote Sensing in Forest Management and Biodiversity Conservation II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 370
Special Issue Editors
Interests: remote sensing; land surface temperature; Cal/Val; biodiversity; vegetation mapping and monitoring; wetlands dynamics
Special Issues, Collections and Topics in MDPI journals
Interests: land use change; wetlands geography; climate change; spatial analysis; ecology; reptiles; lakes
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; laser scanning; precision forestry; forest management; forest health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the overwhelming support and interest in the previous Special Issue (SI), we are introducing a 2nd edition on “Applications of Remote Sensing in Forest Management and Biodiversity Conservation”. I would like to thank all the authors and co-authors who made contributions to the success of the 1st edition of this SI.
Over the years, remote sensing techniques have been increasingly contributing to determining biodiversity characteristics as well as monitoring over large-scale areas. Currently biodiversity needs to be protected primarily to maintain the mechanisms of the functioning of living nature in forests and ecosystems; maintain the ability to withstand environmental changes as well as discover and take advantage of new features that may facilitate development and guarantee the survival of future generations. The evolution of remote sensing tools allows the refinement of existing approaches and the development of innovative new ones for a better evaluation of the biodiversity response to natural ecosystems management and conservation.
With the launches of new Earth observation satellites and growing uses of unmanned aerial vehicles, wider applications of remote sensing for monitoring and mapping of forest ecosystems biodiversity can be foreseen. Remote-sensing based approaches to biodiversity features can further improve management and policy decisions. Moreover, rapid advances in remote sensing methods have also promoted the application of machine learning algorithms and techniques to problems in many related fields, such as classification, environmental changes. This Special Issue aims to report the latest advances and trends concerning multimodal remote sensing image processing methods and applications for the biodiversity.
Dr. Maciej Bartold
Dr. Rasa Šimanauskienė
Dr. Krzysztof Stereńczak
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.
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Keywords
- applications in remote sensing
- machine learning/deep learning
- multispectral/hyperspectral image processing
- LiDAR
- SAR
- forest management
- biodiversity
- natural ecosystems conservation
Related Special Issue
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
