Capítulo de Libro

Application of Remote Sensing and Cellular Automata Model to Analyze and Simulate Urban Density Changes

Título del libro: Urban Remote Sensing

Linares, SantiagoIcon ; Picone, NatashaIcon
Fecha de publicación: 2018
Editorial: Taylor and Francis
ISBN: 978-1-138-05460-8
Idioma: Inglés
Clasificación temática:

Resumen

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)…
Palabras clave: URBAN GROWTH , URBAN DENSITY , CELLULAR AUTOMATA MODEL , GIS , REMOTE SENSING
 
Archivos asociados
Tamaño: 714.3Kb
Formato: PDF
.
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/98410
URL: https://www.taylorfrancis.com/books/9781138586642/chapters/10.1201/9781138586642
Colecciones
Capítulos de libros(IGEHCS)
Capítulos de libros de INSTITUTO DE GEOGRAFIA, HISTORIA Y CS. SOCIALES
Citación
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
Compartir