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Mapping land-cover modifications over large areas : A comparison of machine learning algorithms

Author
ROGAN, John1 ; FRANKLIN, Janet2 ; STOW, Doug1 ; MILLER, Jennifer3 ; WOODCOCK, Curtis4 ; ROBERTS, Dar5
[1] Department of Geography, San Diego State University, San Diego CA 92182, United States
[2] Department of Biology, San Diego State University, San Diego CA 92182, United States
[3] Department of Geology and Geography and Geology, West Virginia University, Morgantown, WV 26506, United States
[4] Department of Geography, Boston University, Boston, MA 02215, United States
[5] Department of Geography, University of California Santa Barbara, Santa Barbara, CA 93106, United States
Source

Remote sensing of environment. 2008, Vol 112, Num 5, pp 2272-2283, 12 p ; ref : 1 p.3/4

CODEN
RSEEA7
ISSN
0034-4257
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Environment; Geology; Geophysics; Oceanography
Publisher
Elsevier Science, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Land-cover change Large area monitoring Machine learning
Keyword (fr)
Algorithme apprentissage Automatisation Bruit Cartographie Couvert végétal Critère Intelligence artificielle Logiciel Modification Occupation sol Performance Processus Précision Réseau neuronal Sensibilité résistance Surveillance Taille Traitement donnée Télédétection Variation Volume Classification tree analysis Californie Nord Californie Sud Amérique du Nord Californie Etats Unis
Keyword (en)
Learning algorithm automation noise cartography Plant cover Criterion artificial intelligence software Modification land cover performances processes accuracy neural networks Sensitivity resistance monitoring Size data processing remote sensing variations volume Northern California Southern California North America California United States
Keyword (es)
Algoritmo aprendizaje Cartografía Cubierta vegetal Criterio Modificación Precisión Red neuronal Sensibilidad resistencia Vigilancia Talla Tratamiento datos Detección a distancia Variación Volumen California Sur America del norte California Estados Unidos
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
20262958

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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