Geoinformatics plays a crucial role in climate-related studies by providing integrated tools and techniques to collect, store, analyze, model, and visualize spatial and temporal data associated with the Earth’s systems. Climate change is inherently a spatial phenomenon, influencing atmospheric processes, land use patterns, hydrological cycles, oceans, and ecosystems across different scales. The application potential of geoinformatics lies in its ability to combine remote sensing, geographic information systems, global positioning systems, and spatial modeling to support comprehensive climate analysis and informed decision-making. One of the major applications of geoinformatics in climate studies is climate monitoring and variability analysis. Satellite-based remote sensing enables continuous observation of essential climate variables such as land surface temperature, sea surface temperature, precipitation, cloud cover, snow extent, glacier dynamics, and atmospheric greenhouse gas concentrations. These datasets, when integrated in GIS environments, help in detecting long-term trends, seasonal variations, and anomalies related to global warming, El Niño–Southern Oscillation events, and extreme weather conditions. Spatial analysis allows scientists to identify climate hotspots and regions most vulnerable to change. Geoinformatics is extensively applied in climate change impact assessment. GIS-based models help