Predicting Species Diversity of Benthic Communities within Turbid Nearshore Using Full-Waveform Bathymetric LiDAR and Machine Learners
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Date
20 juin 2011
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- handle: 10670/1.waj3q9
- hal: hal-01436556
- doi: 10.1371/journal.pone.0021265
- PUBMEDCENTRAL: PMC3118790
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info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0021265
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Simpson Index LiDAR Machine learning Species diversity theoretical ecology skewness community ecology marine ecology -bio]/Ecology, environment/Ecosystems -ph] -bio.QM]Sujets proches
Natural science Sciences Science of scienceCiter ce document
Antoine Collin et al., « Predicting Species Diversity of Benthic Communities within Turbid Nearshore Using Full-Waveform Bathymetric LiDAR and Machine Learners », HAL-SHS : géographie, ID : 10.1371/journal.pone.0021265
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