Identificación de asentamientos irregulares a partir de la extracción de cubiertas de construcciones urbanas con imágenes de sensores remotos. Caso de estudio - Cabecera Urbana de Valle del Guamuez, Putumayo de 2017 a 2020

Abstract

In the development countries one of the challenges related to the generation of sustainable cities is informal settlements, the growth dynamics of urban centers that are affected by land tenure insecurity, access to services or public facilities, and exposed to risks due to inappropriate locations. The identification of this type of space through remote sensing techniques is a key input for land managers and their communities, to generate strategies for slum upgrading. This work seeks to address the spatial dynamics of informal settlements through the specific case of new formations in the urban center of Valle del Guamuez, Putumayo between 2017 and 2021, where through an analysis of land cover change, identification of the characteristics of informal settlements using supervised classification methods (RF and SVM) it was possible to generate a mapping of the settlements by differentiating them from other land covers. The work found that the best model generated was through the RF algorithm that uses a stack of bands with spectral, textural and environment parameters with overall accuracy of 83%, confirming importance of these parameters for identifying informal settlements.