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dc.creatorArango, Juan Gonzalo
dc.date2017-05-04
dc.date.accessioned2020-08-21T20:40:28Z
dc.date.available2020-08-21T20:40:28Z
dc.identifierhttps://revistas.unbosque.edu.co/index.php/RevTec/article/view/2034
dc.identifier10.18270/rt.v15i1.2034
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/10773
dc.descriptionThe purpose of this study was to use the MODIS products in order to analyze and correlateLand Classification (MCD12Q1), Land Surface Temperatures (MOD11A2) and NormalizedDifference Vegetation Indices (MOD13A2) in the City of Madrid and its surrounding areas, in order to validate the concept that remote sensing is a useful tool to develop guidelines on urban and territorial planning. Results show that the 42% of the area that surrounds Madrid has been designated for croplands while the rest of the area has been designated for woody savannas (19.84%), open shrublands (15.50%) and grasslands (7.77%). At the same time, results present the high correlation that all of the MODIS products have, based on the seasonal changes of the Land Surface Temperatures and the Normalized Difference Vegetation Indices.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad El Bosquees-ES
dc.relationhttps://revistas.unbosque.edu.co/index.php/RevTec/article/view/2034/1545
dc.relation/*ref*/Comunidad de Madrid (2016), “El Medio Fisico de la Comunidad de Madrid”, viewed January 18, 2016, Retrieved from: http://www.madrid.org/cs/ Satellite?c=CM_InfPractica_FA&cid=1142616797804&language=es&pagename=omunidadMadrid%2FEstructura&pv=1142616621970
dc.relation/*ref*/Burle, S., “Madrid, Spain Elevation Map”,viewed January 18, 2016, Retrieved from:h t t p : / / w w w . f l o o d m a p . n e t / E l e v a t i o n /ElevationMap/?gi=3117735
dc.relation/*ref*/Department of Interior and United States Geological Survey (2016b), “MOD11A2”, viewed April 13, 20016, Retrieved from: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_ products_table/mod11a2
dc.relation/*ref*/Britannica Academic (2016), “MediterraneanClimate”, viewed January 27, 2016, Retrieved from:http://academic.eb.com/EBchecked/topic/372651/Mediterranean-climate
dc.relation/*ref*/National Aeronautics and Space Administration (2016), “Aqua Earth-observing Satellite Mission”,viewed April 13, 2016, Retrieved from: http://aqua.nasa.gov/
dc.relation/*ref*/Instituto Nacional de Estadistica (INE) (2011),“Censo de Población y Vivienda 2011”, viewedJanuary 18, 2016, Retrieved from: http://www.ine.es/censos2011_datos/cen11_datos_inicio.htm
dc.relation/*ref*/Department of Interior and United States Geological Survey (2016), “MCD12Q1”, viewed April 13, 20016,Retrieved from: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mcd12q1
dc.relation/*ref*/National Aeronautics and Space Administration (2016b), “About Terra”, viewed April 13, 2016,Retrievedfrom:http://terra.nasa.gov/about
dc.relation/*ref*/Department of Interior and United States Geological Survey (2016c), “MOD11A2”, viewed April 13, 20016,Retrieved from: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod13a2
dc.rightsDerechos de autor 2017 Journal of Technologyes-ES
dc.rightshttp://creativecommons.org/licenses/by/4.0es-ES
dc.sourceJournal of Technology; Vol 15 No 1 (2016): Tecnología para una mejor calidad de vida; 11-20en-US
dc.sourceRevista de Tecnología; ##issue.vol## 15 ##issue.no## 1 (2016): Tecnología para una mejor calidad de vida; 11-20es-AR
dc.sourceRevista de Tecnología; Vol. 15 Núm. 1 (2016): Tecnología para una mejor calidad de vida; 11-20es-ES
dc.source1692-1399
dc.subjectMODISes-ES
dc.subjectLand Classificationes-ES
dc.subjectLand Surface Temperaturees-ES
dc.subjectNormalized Difference Vegetationes-ES
dc.subjectRemote Sensinges-ES
dc.titleLand classification, land surface temperature and normalized difference vegetation index using modis - a case study in Madrid, Spaines-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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