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dc.contributor.author
Linares, Santiago
dc.contributor.author
Picone, Natasha
dc.contributor.other
Weng, Qihao
dc.contributor.other
Quattrochi, Dale
dc.contributor.other
Gamba, Paolo Ettore
dc.date.available
2020-02-26T14:14:03Z
dc.date.issued
2018
dc.identifier.citation
Linares, Santiago; Picone, Natasha; Application of Remote Sensing and Cellular Automata Model to Analyze and Simulate Urban Density Changes; Taylor and Francis; 2018; 213-231
dc.identifier.isbn
978-1-138-05460-8
dc.identifier.uri
http://hdl.handle.net/11336/98410
dc.description.abstract
Nowadays, satellite images are a great source of exhaustive, accurate, periodic, and easily updated information on urban areas, and one of the most significant research topics in geographical information technologies is the processing of those sources to come up with these data. Advances in this topic were revitalized by commercial sensors of high spatial resolution (IKONOS, GeoEye-1, Quickbird, worldview-2, EROS B, etc.) and through the increased availability of sources from alternative data, such as SAR (Synthetic Aperture Radar) and LIDAR (Light Detection and Ranging, or Laser Imaging Detection and Ranging)…
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor and Francis
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
URBAN GROWTH
dc.subject
URBAN DENSITY
dc.subject
CELLULAR AUTOMATA MODEL
dc.subject
GIS
dc.subject
REMOTE SENSING
dc.subject.classification
Estudios Urbanos
dc.subject.classification
Geografía Económica y Social
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Application of Remote Sensing and Cellular Automata Model to Analyze and Simulate Urban Density Changes
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-02-19T19:52:50Z
dc.journal.pagination
213-231
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Boca Raton
dc.description.fil
Fil: Linares, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
dc.description.fil
Fil: Picone, Natasha. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.taylorfrancis.com/books/9781138586642/chapters/10.1201/9781138586642-10
dc.conicet.paginas
315
dc.source.titulo
Urban Remote Sensing
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