Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems

Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems

Wet grasslands are crucial components of terrestrial ecosystems, known for their biodiversity and provision of ecosystem services such as flood attenuation and carbon sequestration. Given their ecological significance, monitoring biodiversity within these landscapes is of utmost importance for effec...

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Bibliographic Details
Main Authors: Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, Dominik Behrend, Hubert Hueging, Inga Schleip, Paul Mosebach, Almut Haub, Axel Behrendt, Thomas Gaiser
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecological Informatics
Subjects:
Remote sensing
Vegetation
Ecological monitoring
Multispectral
Canopy height
Texture
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124003558
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