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Land Surface Temperature QGIS 4 compatibility

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Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.

Suite of 16 Processing algorithms for complete Land Surface Temperature retrieval from Landsat 5/7/8 and ASTER thermal imagery

About

This plugin provides a complete, step-by-step workflow for deriving Land Surface Temperature (LST) from satellite thermal imagery using 16 algorithms in the QGIS Processing toolbox. It supports Landsat 5 TM, Landsat 7 ETM+, Landsat 8 TIRS, and ASTER sensors. Input imagery can be obtained free of charge from USGS EarthExplorer (earthexplorer.usgs.gov) or NASA Earthdata (earthdata.nasa.gov). Typical applications include urban heat island analysis, drought and vegetation stress monitoring, agricultural water management, wildfire burn severity assessment, and climate and land use change studies. Workflow: 1. Compute NDVI from red and near-infrared bands 2. Convert thermal band digital numbers to spectral radiance 3. Convert radiance to at-sensor brightness temperature using K1/K2 calibration constants 4. Estimate land surface emissivity (LSE) using NDVI-based classification 5. Retrieve land surface temperature using one of six LST algorithms Available algorithms: Vegetation Indices : Landsat NDVI, ASTER NDVI Radiance : TM Radiance (L5), ETM+ Radiance (L7), TIRS Radiance (L8), ASTER Radiance Brightness Temp. : Brightness Temperature (all sensors) Emissivity : Zhang LSE, NDVI Threshold LSE, ASTER LSE LST : Planck Equation, Mono-Window Algorithm (Qin et al. 2001), Single Channel Algorithm (Jimenez-Munoz & Sobrino 2003), Radiative Transfer Equation, ASTER Single Channel, ASTER Split-Window Temperature output available in Kelvin, Celsius, or Fahrenheit.

AuthorMilton Isaya
Downloads20,064
Latest version1.0
Last updated2026-06-18 (119 days ago)
Min QGIS3.0.0
Max QGIS3.99.0
QGIS 4 readyNo
MaintenanceActive
CategoryRemote sensing
Tagslandsat, brightness temperature, remote sensing, ndvi, emissivity, aster, satellite, thermal, land surface temperature, raster, lst, temperature

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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.