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A Machine-Learning Approach to Intertidal Mudflat Mapping Combining Multispectral Reflectance and Geomorphology from UAV-Based Monitoring

Remote sensing is a relevant method to map inaccessible areas, such as intertidal mudflats. However, image classification is challenging due to spectral similarity between microphytobenthos and oyster reefs. Because these elements are strongly related to local geomorphic features, including biogenic...

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Principais autores: Guillaume Brunier, Simon Oiry, Nicolas Lachaussée, Laurent Barillé, Vincent Le Fouest, Vona Méléder
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-11-01
coleção:Remote Sensing
Assuntos:
UAV
multispectral
temperate mudflat
geomorphic mapping
random forest classification
microphytobenthos
Acesso em linha:https://www.mdpi.com/2072-4292/14/22/5857
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