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:
- Open the plugin QGIS SPT from within QGIS.
- Fill out the required value and input data band obtained from landsat 8 satellite imagery.
- If you have the different value, you can change the default value from advance setting.
- 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.
- Paper - Qin, et al. (2014) - Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm
- Paper - Qin, et al. (2015) - An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data
- Book - Landsat 8 Data Users Handbook
- Paper - Tsou, et al. (2017) - Urban Heat Island Assessment Using the Landsat 8 Data: A Case Study in Shenzhen and Hong Kong
- Web - NASA Landsat - Band Passes Landsat 7 and Landsat 8
- Web - Wikipedia - Conversion of Units of Temperature