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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
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-11-01
Serier:Remote Sensing
Fag:
UAV
multispectral
temperate mudflat
geomorphic mapping
random forest classification
microphytobenthos
Online adgang:https://www.mdpi.com/2072-4292/14/22/5857
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