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An assessment of the effectiveness of a random forest classifier for land-cover classification

Author
RODRIGUEZ-GALIANO, V. F1 ; GHIMIRE, B2 ; ROGAN, J2 ; CHICA-OLMO, M1 ; RIGOL-SANCHEZ, J. P3
[1] Dept. de Geodinámica, Universidad de Granada, Granada 18071, Spain
[2] Graduate School of Geography, Clark University, Worcester, MA, United States
[3] Dept. de Geología, Universidad de Jaén, Jaén 23071, Spain
Source

ISPRS journal of photogrammetry and remote sensing. 2012, Vol 67, pp 93-104, 12 p ; ref : 1 p.1/4

ISSN
0924-2716
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Oceanography
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Classification Land-cover Landsat Thematic Mapper Machine learning Random forest Remote sensing
Keyword (fr)
Algorithme Arbre décision Bruit Classification Communauté Couvert végétal Forêt LANDSAT Modèle numérique terrain Occupation sol Performance Précision Reconnaissance forme Réduction Régression Source Survie Thematic Mapper Télédétection spatiale Utilisation terrain Espagne Europe Europe Sud Péninsule Ibérique
Keyword (en)
algorithms Decision tree noise classification Community Plant cover forests Landsat digital terrain models land cover performances accuracy pattern recognition reduction regression springs Survival Thematic Mapper Space remote sensing land use Spain Europe Southern Europe Iberian Peninsula
Keyword (es)
Algoritmo Arbol decisión Clasificación Comunidad Cubierta vegetal Bosque Precisión Regresión Fuente Sobrevivencia Teledetección espacial Utilización terreno España Europa Europa Sur Península ibérica
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
25533182

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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