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A hybrid object-based classification approach for mapping urban sprawl in periurban environment

Author
JACQUIN, Anne1 ; MISAKOVA, Lucie2 ; GAY, Michel1
[1] Laboratory of Remote Sensing and Land Management, Purpan Graduate School of Agriculture, 75, voie du TOEC, BP 57611, 31076 Toulouse, France
[2] Department of Geoinformation Technologies, Mendel University of Agriculture and Forestry, Zemedelska 3, 61300 Brno, Czech Republic
Source

Landscape and urban planning. 2008, Vol 84, Num 2, pp 152-165, 14 p ; ref : 1 p.3/4

CODEN
LUPLEZ
ISSN
0169-2046
Scientific domain
Architecture and spatial development; Agronomy, agriculture, phytopathology; Environment; Geology
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Flood risk Object-based approach Scale Urban objects
Keyword (fr)
Cartographie Classification Croissance urbaine Inondation Milieu suburbain Milieu urbain Orienté objet Qualité environnement Haute Garonne Europe France Midi Pyrénées
Keyword (en)
Cartography Classification Urban growth Flood Suburban environment Urban environment Object oriented Environment quality Haute-Garonne Europe France Midi Pyrénées
Keyword (es)
Cartografía Clasificación Crecimiento urbano Inundación Medio suburbano Medio urbano Orientado objeto Calidad medio ambiente Haute Garonne Europa Francia Midi Pyrénées
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14D Applied ecology / 002A14D01 General aspects

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20017418

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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