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Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data

Author
RUILIANG PU1 2 3 ; PENG GONG2 3 ; MICHISHITA, Ryo4 ; SASAGAWA, Todashi5
[1] Department of Geography, University of South Florida, 4202 E. Fowler Ave., NES 107, Tampa, FL 33620, United States
[2] State Key Lab of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing 100101, China
[3] Center for Assessment and Monitoring of Forest and Environmental Resources (CAMFER), 137 Mulford Hall, University of California, Berkeley, CA 94720-3114, United States
[4] Department of Geography, The University of Utah 260 S. Central Campus Dr, Salt Lake City, UT 84108, United States
[5] PASCO Corporation, Higashiyama Building, 1-1-2 Higashiyama, Meguro-ku, Tokyo 153-0043, Japan
Source

Remote sensing of environment. 2008, Vol 112, Num 3, pp 939-954, 16 p ; ref : 1 p.1/4

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
ASTER Artificial neural networks Least square solution Spectral mixture analysis Urban surface component
Keyword (fr)
Albedo Algorithme Analyse moindres carrés Cartographie Composante Ecologie Emission thermique Imagerie Instrumentation Intelligence artificielle Pouvoir réflecteur Réseau neuronal Sol Utilisation terrain Végétation Zone urbaine Donnée observation Facteur réflexion Non linéarité Radiomètre ASTER Terra Ville Honshu Asie Extrême Orient Japon
Keyword (en)
albedo algorithms least-squares cartography components ecology thermal emission imagery instruments artificial intelligence reflectance neural networks soils land use vegetation urban areas Honshu Asia Far East Japan
Keyword (es)
Albedo Algoritmo Cartografía Ecología Emisión térmica Imaginería Instrumentación Poder reflector Red neuronal Suelo Utilización terreno Vegetación Zona urbana Honshu Asia Extremo Oriente Japón
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20147587

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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