Análisis de islas de calor por medio de imágenes satelitales y sistemas de información geográficos en el área urbana de la Sabana de Bogotá
In this investigation all data related to Land surface temperature (LST) collected from satellite Landsat 8 was compared to temperature data collected from surface stations located in Sabana de Bogotá, to identify urban heat islands. It was developed a crop in the study area of satellite image in order to processing spectrum bands 10, 4 and 5, using a Land surface Temperature algorithm to collect the satellite mapping of the surface temperature. At the same time, this data was analyzed as statistically as spatially considering the distance and elevation of the stations interpolating them with... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Verlag/Hrsg.: |
Universidad de Zaragoza
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Schlagwörter: | Heat Island / Landsat 8 / Remote Sensors / Temperature and Sabana de Bogotá / Isla de calor / Sensores remotos / Temperatura / Sabana de Bogotá |
Sprache: | Spanish |
Permalink: | https://search.fid-benelux.de/Record/base-26883565 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://papiro.unizar.es/ojs/index.php/geographicalia/article/view/4571 |
In this investigation all data related to Land surface temperature (LST) collected from satellite Landsat 8 was compared to temperature data collected from surface stations located in Sabana de Bogotá, to identify urban heat islands. It was developed a crop in the study area of satellite image in order to processing spectrum bands 10, 4 and 5, using a Land surface Temperature algorithm to collect the satellite mapping of the surface temperature. At the same time, this data was analyzed as statistically as spatially considering the distance and elevation of the stations interpolating them with Cokriging’s method and the ArcGIS 10.3® Software, detecting spatially the geometry of the islands in high urbanization zones, getting the Pixel temperature and comparing it to surface station data finding differences between temperature in urban zones commonly with more vegetation and the two methods used for this study. ; En esta investigación, los datos relacionados con la temperatura superficial (LST) recopilados del satélite Landsat 8 se compararon con los datos de temperatura seleccionados de las estaciones de superficie, ubicadas en la sabana de Bogotá, para identificar islas de calor urbanas. Se recortó el área de estudio de la imagen satelital para procesar las bandas del espectro 10, 4 y 5, usando un algoritmo de temperatura superficial para recolectar el mapeo satelital. Al mismo tiempo, estos datos se analizaron estadísticamente como espacialmente considerando la distancia y la elevación de las estaciones interpolando con el método de Cokriging y el software ArcGIS 10.3®, detectando espacialmente la geometría de las islas en zonas de alta urbanización, obteniendo la temperatura de píxeles y comparándolo con los datos de la estación de superficie, encontrando diferencias entre la temperatura en zonas urbanas comúnmente con más vegetación y los dos métodos utilizados para este estudio.