Applications of unoccupied aerial systems (UAS) in landscape ecology: a review of recent research, challenges and emerging opportunities
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| Publicado en: | Landscape Ecology vol. 40, no. 2 (Feb 2025), p. 43 |
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| Publicado: |
Springer Nature B.V.
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| Materias: | |
| Acceso en liña: | Citation/Abstract Full Text - PDF |
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| 245 | 1 | |a Applications of unoccupied aerial systems (UAS) in landscape ecology: a review of recent research, challenges and emerging opportunities | |
| 260 | |b Springer Nature B.V. |c Feb 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a ContextUnoccupied aerial systems/vehicles (UAS/UAV, a.k.a. drones) have become an increasingly popular tool for ecological research. But much of the recent research is concerned with developing mapping and detection approaches, with few studies attempting to link UAS data to ecosystem processes and function. Landscape ecologists have long used high resolution imagery and spatial analyses to address ecological questions and are therefore uniquely positioned to advance UAS research for ecological applications.ObjectivesThe review objectives are to: (1) provide background on how UAS are used in landscape ecological studies, (2) identify major advancements and research gaps, and (3) discuss ways to better facilitate the use of UAS in landscape ecology research.MethodsWe conducted a systematic review based on PRISMA guidelines using key search terms that are unique to landscape ecology research. We reviewed only papers that applied UAS data to investigate questions about ecological patterns, processes, or function.ResultsWe summarize metadata from 161 papers that fit our review criteria. We highlight and discuss major research themes and applications, sensors and data collection techniques, image processing, feature extraction and spatial analysis, image fusion and satellite scaling, and open data and software.ConclusionWe observed a diversity of UAS methods, applications, and creative spatial modeling and analysis approaches. Key aspects of UAS research in landscape ecology include modeling wildlife micro-habitats, scaling of ecosystem functions, landscape and geomorphic change detection, integrating UAS with historical aerial and satellite imagery, and novel applications of spatial statistics. | |
| 653 | |a Spatial analysis | ||
| 653 | |a Ecological studies | ||
| 653 | |a Image resolution | ||
| 653 | |a Modelling | ||
| 653 | |a Satellite imagery | ||
| 653 | |a Geomorphology | ||
| 653 | |a Image processing | ||
| 653 | |a Computer vision | ||
| 653 | |a Ecological function | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Data collection | ||
| 653 | |a Data analysis | ||
| 653 | |a Spatial data | ||
| 653 | |a Ecological research | ||
| 653 | |a Wildlife | ||
| 653 | |a Landscape ecology | ||
| 653 | |a Information processing | ||
| 653 | |a Satellite observation | ||
| 653 | |a Drone aircraft | ||
| 653 | |a Microhabitats | ||
| 653 | |a Environmental | ||
| 773 | 0 | |t Landscape Ecology |g vol. 40, no. 2 (Feb 2025), p. 43 | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3164741847/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3164741847/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |