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pylst

A Python package for processing and visualizing Landsat Land Surface Temperature (LST) data
From raw Landsat thermal bands to ready-to-analyze LST maps — with minimal code.

Installation • Quick Start • Features • Documentation • Citation • License

Features

Retrieve and preprocess Landsat thermal infrared (TIR) data via Google Earth Engine (using earthengine-api & geemap)
Compute Land Surface Temperature (LST) using standard single-channel / split-window algorithms
Atmospheric correction support (basic emissivity & water vapor adjustments)
Flexible visualization: single-date maps, time-series animations, zonal statistics
Export results as GeoTIFF, NetCDF or interactive maps (folium / ipyleaflet)
Built on trusted libraries: rasterio, numpy, pandas, matplotlib, opencv-python, scikit-learn

Installation

The easiest way is via pip (recommended in a virtual environment):

pip install pylst

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pylst-0.1.0.tar.gz (35.2 kB view details)

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