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A comparison of the classification of wetland characteristics by linear spectral mixture modelling and traditional hard classifiers on multispectral remotely sensed imagery in southern india

Author
SHANMUGAM, Palanisamy1 ; AHN, Yu-Hwan1 ; SANJEEVI, Shanmugam2
[1] Ocean Satellite Research Group, Korea Ocean Research and Development Institute, Ansan P.O. Box 29, Seoul 425 600, Korea, Republic of
[2] Centre for Geoscience and Engineering, Anna University, Chennai 600025, India
Source

Ecological modelling. 2006, Vol 194, Num 4, pp 379-394, 16 p ; ref : 44 ref

CODEN
ECMODT
ISSN
0304-3800
Scientific domain
Ecology; Environment
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Wetland ecosystem LSMM Hard classification IRS-1C/1D LISS-III Landsat-5 TM Southern India
Keyword (fr)
Classification Ecosystème Modèle Modélisation Zone humide Inde Milieu aquatique Asie
Keyword (en)
Classification Ecosystem Models Modeling Wetland India Aquatic environment Asia
Keyword (es)
Clasificación Ecosistema Modelo Modelización Zona húmeda India Medio acuático Asia
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B04 Synecology / 002A14B04A General aspects

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17635662

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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