Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

Item
http://www.wikidata.org/entity/Q56934277
Regional-scale drivers of forest structure and function in northwestern AmazoniaBiodiversity mapping in a tropical West African forest with airborne hyperspectral data.Operational Tree Species Mapping in a Diverse Tropical Forest with Airborne Imaging Spectroscopy.Resolving mixed algal species in hyperspectral images.Characterizing forest structure variations across an intact tropical peat dome using field samplings and airborne LiDAR.Modelling Forest α-Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote SensingTree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced DataForest Road Detection Using LiDAR DataRemote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review
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Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

Item
http://www.wikidata.org/entity/Q56934277
description
article
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в серпні 2012
@uk
name
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@en
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@nl
type
label
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@en
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@nl
prefLabel
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@en
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P921
P356
P1433
P1476
Semi-Supervised Methods to Ide ...... Imaging Spectroscopy and LiDAR
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P921