Modelling Forest α-Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing
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Biodiversity mapping in a tropical West African forest with airborne hyperspectral data.Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data.A new position measurement system using a motion-capture camera for wind tunnel tests.Modeling plant composition as community-continua in a forest landscape with LiDAR and hyperspectral remote sensing.Using landscape context to map invasive species with medium-resolution satellite imageryWill remote sensing shape the next generation of species distribution models?Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data
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Modelling Forest α-Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing
description
article
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wetenschappelijk artikel
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наукова стаття, опублікована у вересні 2012
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name
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
@en
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
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type
label
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
@en
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
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prefLabel
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
@en
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
@nl
P2093
P2860
P50
P356
P1433
P1476
Modelling Forest α-Diversity a ...... s Hyperspectral Remote Sensing
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P2093
Benjamin F. Leutner
Jörg Müller
Stefan Dech
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P304
P356
10.3390/RS4092818
P577
2012-09-21T00:00:00Z