Plugin QGIS SPT provides you for estimating Land Surface Temperature (LST) with Split-Window Algorithm (SWA) for Landsat 8.

The steps to using are fairly simple:

1. Open the plugin QGIS SPT from within QGIS.
2. Fill out the required value and input data band obtained from landsat 8 satellite imagery.
3. If you have the different value, you can change the default value from advance setting.
4. Calculate LST.

Link: Plugin QGIS SPT
Other: Video Comparison Between Plugin QGIS SPT and Raster Calculator (Manual)

General Setting:

• Data Satellite is data with values obtained from the metadata used for calculate LST.
• Output Temp. is to determine the external value of the resulting temperature.
• Range Temp. is the average value of air temperature in the area.
• Tot. Water Vapor is the value of total water vapor content.
• Band Red is data from landsat 8 satellite imagery.
• Band NIR is data from landsat 8 satellite imagery.
• Band TIR-1 is data from landsat 8 satellite imagery.
• Band TIR-2 is data from landsat 8 satellite imagery.
• Save Output is to determine the external directory of the data LST.

Advance Setting:

• At-Transmittance is the value of atmospheric transmittance.
• NDVI Soil is the value of NDVI soil.
• NDVI Vegetation is the value of NDVI vegetation.
• TIR-1 Emis. Soil is the value of TIR-1 emissivity soil.
• TIR-1 Emis. Veg. is the value of TIR-1 emissivity vegetation.
• TIR-2 Emis. Soil is the value of TIR-2 emissivity soil.
• TIR-2 Emis. Veg. is the value of TIR-2 emissivity vegetation.
• Geomectical is the value of geomectical factor.

This is a description of the plugin (author, version plugin, etc.).

This is a log generated from calculating LST.

• Status: is a text to shows the activity.
• Button Ok is the button to start the process of calculating LST.
• Button Close is the button to close.
• Button Help is the button to display the help page.

1. Paper - Qin, et al. (2014) - Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm
2. Paper - Qin, et al. (2015) - An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data
3. Book - Landsat 8 Data Users Handbook
4. Paper - Tsou, et al. (2017) - Urban Heat Island Assessment Using the Landsat 8 Data: A Case Study in Shenzhen and Hong Kong
5. Web - NASA Landsat - Band Passes Landsat 7 and Landsat 8
6. Web - Wikipedia - Conversion of Units of Temperature