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Object-based land cover classification using airborne LiDAR

Author
ANTONARAKIS, A. S1 ; RICHARDS, K. S1 ; BRASINGTON, J2
[1] Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, United Kingdom
[2] Institute of Geography and Earth Sciences, The University of Wales, Aberystwyth, Llandinam Building, Penglais Campus, Aberystwyth, Ceredigion SY23 3DB, Wales, United Kingdom
Source

Remote sensing of environment. 2008, Vol 112, Num 6, pp 2988-2998, 11 p ; ref : 1/2 p

CODEN
RSEEA7
ISSN
0034-4257
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
Publisher
Elsevier, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Airborne LiDAR;Image classification;Riparian forest;Vegetation roughness;Point cloud;Intensity;Hydraulic modelling
Keyword (fr)
Classification Couvert végétal Distribution Détection multispectrale Fréquence Haute résolution Hydraulique Imagerie Information Intensité Milieu ripicole Modèle Méthode aéroportée Méthodologie Nuage Occupation sol Radar optique Rugosité Segmentation Supervision Système 3 dimensions Télédétection LiDAR France Europe Ouest Europe
Keyword (en)
classification Plant cover distribution Multispectral detection frequency high resolution hydraulics imagery Information intensity riparian environment models airborne methods methodology clouds land cover Lidar roughness segmentation Supervision Three dimensional system remote sensing France Western Europe Europe
Keyword (es)
Clasificación Cubierta vegetal Detección multiespectral Frecuencia Alta resolucion Hidraúlica Imaginería Información Intensidad Modelo Método aerotransportado Metodología Nube Radar óptico Rugosidad Supervisión Sistema 3 dimensiones Detección a distancia Francia Europa del Oeste Europa
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A03 Teledetection and vegetation maps

Discipline
Animal, vegetal and microbial ecology Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20439037

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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