A highly detailed land-use vector map for Madrid region based on photo-interpretation

Díaz Pacheco, Jaime y García Palomares, Juan Carlos (2014). A highly detailed land-use vector map for Madrid region based on photo-interpretation. "Journal of Maps", v. 10 (n. 3); pp. 424-433. ISSN 1744-5647. https://doi.org/10.1080/17445647.2014.882798.

Descripción

Título: A highly detailed land-use vector map for Madrid region based on photo-interpretation
Autor/es:
  • Díaz Pacheco, Jaime
  • García Palomares, Juan Carlos
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Maps
Fecha: Enero 2014
Volumen: 10
Materias:
Palabras Clave Informales: land use map, highly detailed scale, photointerpretation, land use models, Madrid
Escuela: Centro de Investigación del Transporte (TRANSyT) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Land Use – Land Cover (LULC) maps have developed remarkably since the global community became aware of the importance of knowing where LULC change is taking place on the Earth's surface. The rapid evolution of geographic information data handling and the automation of satellite image interpretation through remote sensing techniques and algorithms is providing increasingly abundant and up-to-date information on LULC. In addition, at large detail scales, it is important to link LULC maps to available statistical information, such as census information and business activities, which allow land parcels to be more accurately classified. Though automated classification methods can produce useful maps at smaller detail scales, it is not usually possible to accurately map urban areas at large scales without considerable investment of human resources. The development of large-scale information for urban areas is very important, especially in urban areas with accelerated rates of urban change which may jeopardize natural resources and citizens’ quality of life. In this paper, the creation of a set of large detail scale LULC maps and accompanying geodatabase for one such dynamic urban change region, the Madrid Autonomous Community (AC), Spain, is discussed.

Más información

ID de Registro: 38832
Identificador DC: http://oa.upm.es/38832/
Identificador OAI: oai:oa.upm.es:38832
Identificador DOI: 10.1080/17445647.2014.882798
URL Oficial: http://www.tandfonline.com/doi/full/10.1080/17445647.2014.882798
Depositado por: Memoria Investigacion
Depositado el: 25 May 2017 10:49
Ultima Modificación: 25 May 2017 10:52
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