Informações geointegradas no planejamento e políticas públicas para cidades resilientes

Abstract

Urban expansion affects environmental and territorial dynamics, altering vegetation cover, thermal patterns, and urban infrastructure. This dissertation investigates the application of geospatial technologies in vegetation analysis, climate scenario projection, and support for sustainable urban planning. The first chapter presents a bibliometric and scientometric analysis of the Normalized Difference Vegetation Index (NDVI) and its application in urban management, identifying research gaps and emerging trends. The second chapter focuses on multitemporal data extraction and processing, using remote sensing imagery to assess vegetation cover in Campo Grande/MS between 1985 and 2020, quantifying land use transformations. The third chapter explores the integration of urban indicators and geotechnologies in territorial strategy formulation for resilient cities, incorporating multitemporal analysis of NDVI, Normalized Difference Built-up Index (NDBI), Vegetation Connectivity, Land Surface Temperature (LST), Surface Urban Heat Island (SUHI), and Urban Thermal Field Variance Index (UTFVI) from 1985 to 2024.The fourth chapter proposes urban planning strategies for 2050, addressing landscape connectivity, water resource management, and climate adaptation. The analysis examines urban sprawl and its impacts on drainage, identifying hydrological vulnerability due to land use changes. The fifth chapter applies predictive modeling to estimate urban thermal dynamics until 2050, utilizing data clustering (K-Means) and land surface temperature (LST) projections. The comparison of predictive models indicates that the Vector Auto Regression (VAR) model achieved the highest accuracy in estimating thermal variability, outperforming Support Vector Machines (SVM) and artificial neural networks. The findings reveal a significant temperature increase in highly urbanized areas, impacting energy consumption and quality of life. The study evaluates mitigation strategies, such as green infrastructure and ecological corridors, to reduce thermal effects and enhance climate resilience. This research demonstrates the feasibility of urban environment analysis through the identification of spatial transformations over time, associated with vegetation cover and built-up areas. The findings reinforce the need for interdisciplinary approaches in territorial management, highlighting how the integration of geotechnologies, predictive modeling, and urban planning can support public policies and optimize land use in urban expansion scenarios.