Area-Wide Prediction of Vertebrate and Invertebrate Hole Density and Depth across a Climate Gradient in Chile Based on UAV and Machine Learning

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Area-Wide Prediction of Vertebrate and Invertebrate Hole Density and Depth across a Climate Gradient in Chile Based on UAV and Machine Learning

Author: Grigusova, Paulina; Larsen, Annegret; Achilles, Sebastian; Klug, Alexander; Fischer, Robin; Kraus, Diana; Uebernickel, Kirstin; Paulino, Leandro; Pliscoff, Patricio; Brandl, Roland; Farwig, Nina; Bendix, Joerg
Tübinger Autor(en):
Übernickel, Kirstin
Published in: Drones (2021), Bd. 5 (3), Article 86
Verlagsangabe: Mdpi
Language: English
Full text: http://dx.doi.org/10.3390/drones5030086
ISSN: 2504-446X
DDC Classifikation: 550 - Earth sciences
600 - Technology
Dokumentart: Article
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