Land Surface Temperature (LST) Change is a geospatial use case that involves monitoring, analyzing, and visualizing temporal variations in thermal conditions across Earth's surface using satellite-derived imagery and GIS technology. By processing multispectral and thermal infrared data from sensors such as Landsat and MODIS, GIS professionals can extract, calibrate, and compare LST values across defined time periods to detect meaningful thermal shifts at local, regional, or global scales.

Within a GIS workflow, raster-based spatial analysis techniques — including band math, temporal compositing, and change detection algorithms — enable analysts to quantify temperature differentials and identify patterns associated with urbanization, deforestation, land cover conversion, or climate variability. Geospatial data integration allows practitioners to correlate LST changes with ancillary datasets such as NDVI, impervious surface coverage, and elevation models, enriching analytical depth and interpretive accuracy.

The practical benefits of LST change mapping include supporting urban heat island studies, informing climate adaptation planning, optimizing agricultural management, and guiding environmental impact assessments. For GIS professionals, this use case demonstrates the critical value of remote sensing and spatial analysis in translating raw thermal data into actionable, evidence-based geospatial intelligence.