A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 28028
Dr. Maciej Bartold
Dr. Maciej Bartold
Institute of Geodesy and Cartography, 27 Modzelewskiego St., 02-679 Warsaw, Poland
Interests: remote sensing; land surface temperature; Cal/Val; biodiversity; vegetation mapping and monitoring; wetlands dynamics
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Dr. Rasa Šimanauskienė
Dr. Rasa Šimanauskienė
Faculty of Chemistry and Geosciences, Vilnius University, LT-03101 Vilnius, Lithuania
Interests: land use change; wetlands geography; climate change; spatial analysis; ecology; reptiles; lakes
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Dr. Krzysztof Stereńczak
Dr. Krzysztof Stereńczak
Department of Geomatics, Forest Research Institute, Braci Leśnej 3 Street, Sękocin Stary, 05-090 Raszyn, Poland
Interests: remote sensing; laser scanning; precision forestry; forest management; forest health
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Over the years, remote sensing techniques have increasingly contributed to determining biodiversity characteristics, as well as monitoring 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 launch of new Earth observation satellites, and the growing use 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 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 and 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
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