Muhammad Rahmahalim, Fatwa Ramdani, Alfi Nur Rusydi
Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST. In this case, the plugin QGIS to calculate the surface temperature is built using the Python (PyQT for designing the UI and PyQGIS the API for QGIS) with the hope that it can simplify and speed up the process of calculating LST data © 2020 ACM.
Geoinformatics Research Group, Brawijaya University, Malang, Indonesia
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