Comparative analysis of assertiveness for three built-up zone indexes applied to Colombian cities
- Julián Leal Villamil
, - Mauricio Alejandro Perea Ardila,
- Gabriel Alexis Santa Ramírez
Abstract
The delimitation and Spatio-temporal characterization of built-up or urbanized areas in cities is a fundamental input for
territorial planning. Built-up Zone Indices are used to identify urban areas using remote sensing. The objective of this
study was to evaluate the multitemporal assertiveness (1997, 2002, 2007 and 2018) of three Built-up Zone Indices (NDBI,
UI and IBI) calculated in Landsat images for three Colombian cities. The images were enhanced through Remote Sensing
techniques and the Built-up Zone Indices were determined by taking into account the parameters established by their
creators. It means that 700 ground truth points (350 for the built-up zone and 350 for the non-built-up zone) were used to establish the multitemporal assertiveness using the Kappa Index. The results show that the index with the best overall multitemporal assertiveness was the NDBI (Kappa = 0.382), which was also the best performing for the largest city (Kappa = 0.566); for the intermediate size city, the most successful index was the UI (Kappa = 0.545). The evaluated indexes had null
Kappa values in the city of Espinal; discarding the results obtained in the latter city, the global assertiveness of the indexes can be increased to 0.573. Further research is needed to evaluate in detail the applicability and assertiveness of the indices
in the Colombian context, as well as the adjustments to the optimal value range for each particular city according to its architectural characteristics.
Keywords
Kappa Index, Landsat 8, Urban planning, Remote sensing, Urban area
Author Biography
Julián Leal Villamil
Ingeniero forestal y candidato a doctor en Planificación y Manejo Ambiental de Cuencas Hidrográficas de la Universidad del Tolima, becario doctoral mediante convocatoria 755/2016 COLCIENCIAS. Magíster en Planificación y Manejo Ambiental de Cuencas Hidrográficas, especialista en Formulación y Desarrollo de Proyectos e Ingeniero Forestal de la Universidad del Tolima. Ha sido reconocido a nivel nacional en varias oportunidades por su desempeño académico e investigativo, Investigador en grupos de investigación reconocidos por COLCIENCIAS como son el Grupo Interdisciplinario de Investigación en Fruticultura Tropical (Universidad del Tolima – AGROSAVIA), Grupo de Investigación en Ciencias del Suelo – GRICIS (Universidad del Tolima) y el Grupo de Investigación en Cuencas Hidrográficas (Universidad del Tolima). Autor de varios artículos en el campo del sensoramiento remoto, erosión de suelos, deslizamientos y cuencas hidrográficas en revistas científicas nacionales e internacionales, a su vez, ha sido ponente en varios congresos internacionales y par evaluador para diversas publicaciones científicas de orden nacional.
Mauricio Alejandro Perea Ardila
Ingeniero Forestal, Especialista en Geomática y MSc en Geographical Information System, Investigador científico del laboratorio de SIG y Sensores remotos del Área de Manejo integrado de Zona Costera del Centro de Investigaciones Oceanográficas e Hidrográficas del Pacífico-CCCP, experiencia interpretación y procesamiento de imágenes de sensores remotos de observación de la tierra en aplicaciones para la gestión y administración de los recursos naturales en ecosistemas andinos y marino-costeros; experiencia específica en el área de la Geomática para el monitoreo de bosques y el análisis espacial de información geográfica.
Gabriel Alexis Santa Ramírez
Ingeniero forestal de la Universidad del Tolima, ha sido autor de artículos en revistas indexadas nacionales al igual que ponente en las IX Jornadas de Educación en Percepción Remota y SIG para Centroamérica y el Caribe “Educación e innovación para el desarrollo sostenible”. Además, autor principal del artículo científico “caracterización morfométrica de deslizamientos presentados en la cuenca del río Combeima (Ibagué - Tolima, Colombia)”.
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