[PERSON] and [PERSON] [19] introduced an integrated system based on a sensor array for a UAV, combining an infrared camera and air quality sensors to detect thermal emissions and physical and chemical parameters with an orientation toward landfill monitoring. The proposed system enables the monitoring of concentrations, spills, and leachates for the management of waste dumps and illegal discharges. The use of UAVs equipped with methane detectors was proposed by [PERSON] et al. [36] to discover and monitor methane leaks over large areas with remote access in a rapid and economical manner. The proposed technique was based on the use of a multirotor UAV with an off-the-shelf laser-based methane detector for the generation of landfill methane concentration maps quickly and efficiently. [PERSON] et al. [37] investigated and analyzed the relationship between ground surface temperature and LFG emissions in landfills under different atmospheric conditions. Their analysis was based on contrasting measurement campaigns under different conditions for capturing UAV images; complementing measurements of methane and carbon dioxide emissions were taken at each measuring point with a static flux chamber to assess the evolution of the results with GIS. [PERSON] et al. [38] compiled different methodologies for the measurement of CH\({}_{4}\) emissions in a review, considering vertical soil gas concentration profiles, surface flux chambers, radial plume mapping, and mass balances using aerial measurements or differential absorption LiDAR, among other methods. The review collects alternatives to infrared sensors and CH\({}_{4}\) concentration instruments for UAVs, considering the present alternatives to not be very accurate in creating 2D maps of concentrations or carrying out field infrared surveys by capturing TIR images with UAVs. [PERSON] et al. [1] proposed a novel approach for UAV TIR image processing to generate heat maps for the detection of thermal anomalies in surface temperatures and their relationship with local biogas escaping in landfills that leave a thermal footprint. Their research focuses on the determination of methane flows in hot spots identified through visual analysis and photointerpretation of two-dimensional heat maps. More recently, [PERSON] et al. [25] developed a comprehensive review of drone technology in MSW landfill management and control. Their paper mentions how most of the publications related to this technology focus on monitoring the emissions of landfill gas or its individual components, mainly methane. In relation to the subject matter, it highlights the capacity of aerial thermal imaging to generate heat maps, orthoimages, and 3D thermal models of the surface, but it does not detail the processing methodology or workflow to obtain them. Complementarily,the review highlights the scarce experience of the current technique in analyzing UAV photogrammetry-derived products using GIS tools in landfill areas despite the multiple advantages of this type of imagery [39]. The present study focuses on the development of a methodological proposal for the generation of 4D models of a landfill surface using UAV thermal images for the identification of thermal anomalies through the processing of images with Geographic Information Systems (GIS). The methodology is developed through its application to a specific case, with the modeling of an active MSW landfill for its control and periodic monitoring, enabling a follow-up of the proper functioning of the LFG collection systems. In case hot spots are identified, it allows their geolocation for the application of corrective measures by the landfill regulator. Conventionally, the activities at a landfill consist of a set of operations for the disposal, compaction, covering, and control of sediments. Within this set of tasks is thermal control, which includes biogas control. In order to reduce LFG emissions, different strategies can be employed for MSW management in landfills.