Land Surface Temperature (LST) Data Extraction From Sentinel-3 SLSTR Level 2 Data Using ESA SNAP
Land Surface Temperature data (LST) is an important data for many kind of geospatial analysis. It could provide initial information about environmental condition like drought event, Urban Heat Island Phenomena, climatic condition, air pollution, and many others. LST can be generated from satellite imagery thermal bands with additional information from Visible Near Infrared Bands. Because there are not many operational satellite imaging in orbit can provide these kind of data. Precisely the sensors that could provides LST only limited to certain sensors at low to mid resolution like MODIS, AVHRR, Landsat 4 to 8, ASTER, and the latest Sentinel-3. If we talks about how to generate LST from satellite imagery, many researchers have been published numerous methods published in wide range of scientific papers. These methods ranging from simple single channel thermal band LST extraction to more complex methods involved meteorological parameters like water vapor, clouds height, and many others