The integration of remote sensing, GIS tools, and field validation offers valuable insights into urban thermal behavior in tropical environments. These methods provide a cost-effective approach for identifying zones of thermal discomfort and support the development of climate adaptation strategies and sustainable urban planning. Three approaches commonly found in the literature were evaluated to estimate Land Surface Temperature (LST) using GIS tools. These estimates were compared against in-situ surface temperature measurements obtained with a conventional infrared thermometer. The study area was Panama City, and the analysis focused on satellite overpasses during February, March, April, and May. The LST estimation methods assessed were: the Algorithm for Automated Mapping (AAM), the Online Global Land Surface Temperature Estimation (OGLST), and the Atmospheric Correction Incorporating Bidirectional Radiance and Transmissivity (ABRT). Among these, the ABRT method produced results that most closely matched the in-situ temperature measurements. The findings indicate that the use of GIS tools for LST estimation in urban environments is viable, provided that factors such as cloud cover and the limited spatial resolution of satellite imagery are carefully addressed. These tools offer valuable insights for identifying urban heat zones, supporting the development of targeted and effective thermal mitigation strategies at the city scale.