In this video, I show you how I calculate Land Surface Temperature (LST) for any area directly inside Google Earth Engine using MODIS LST products (like MOD11A1). My goal is to keep it practical: you define your region of interest, filter the dataset by date, apply the right quality masking, and then convert the MODIS thermal values into meaningful LST you can map and analyze. If you’ve been getting “noisy” temperature maps or inconsistent results, the quality flags and masking step I demonstrate is the part you really shouldn’t skip. I also walk you through how I visualize the LST output properly in the map, and how I aggregate results for your study area—either as pixel-level exports or zonal statistics you can take into Excel, GIS, or any further workflow. This is the same kind of workflow I use for urban heat island checks, agriculture heat stress, and general climate/environment monitoring. I dropped my working GEE script link so you can copy, run, and tweak it fast without guessing.