https://github.com/azad77/pylst

A Python Package for processing LST data.
https://github.com/azad77/pylst

Last synced: 4 months ago
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A Python Package for processing LST data.

• Host: GitHub
• URL: https://github.com/azad77/pylst
• Owner: Azad77
• License: mit
• Created: 2023-03-07T22:01:32.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2025-01-26T18:12:20.000Z (over 1 year ago)
• Last Synced: 2025-01-26T18:27:51.253Z (over 1 year ago)
• Language: Python
• Size: 641 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE
  • Citation: CITATION.cff

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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):

```bash

pip install pylst