Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data
about
Mapping forested wetlands in the Great Zhan River Basin through integrating optical, radar, and topographical data classification techniques.Comparison modeling for alpine vegetation distribution in an arid area.Land cover mapping based on random forest classification of multitemporal spectral and thermal images.Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra EcosystemsRelationships of S-Band Radar Backscatter and Forest Aboveground Biomass in Different Forest Types
P2860
Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в червні 2014
@uk
name
Random forest classification o ...... elevation and optical RS data
@en
Random forest classification o ...... elevation and optical RS data
@en-gb
Random forest classification o ...... elevation and optical RS data
@nl
type
label
Random forest classification o ...... elevation and optical RS data
@en
Random forest classification o ...... elevation and optical RS data
@en-gb
Random forest classification o ...... elevation and optical RS data
@nl
prefLabel
Random forest classification o ...... elevation and optical RS data
@en
Random forest classification o ...... elevation and optical RS data
@en-gb
Random forest classification o ...... elevation and optical RS data
@nl
P921
P1476
Random forest classification o ...... elevation and optical RS data
@en
P2093
Alistair Lamb
Sybrand van Beijma
P304
P356
10.1016/J.RSE.2014.04.010
P577
2014-06-01T00:00:00Z