GatorSense / AtmosphericCorrectionIntroduction

This repo contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery.

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A Brief Introduction to Atmospheric Correction

This code base contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery. It is broken into three parts: Introduction, Empirical Line Method, Radiative Transfer Models.

Authors: Susan Meerdink

Please reference this work if any part of it is used elsewhere: DOI

Requirements:

This code uses Python 3. These are the python packages used:

  • numpy
  • matplotlib
  • rasterio
  • spectral
  • Py6S

In addition, to run Py6S it is necessary to install 6S which is a complied Fortran code base. Please follow these instructions for installing 6S: https://py6s.readthedocs.io/en/latest/installation.html

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This repo contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery.


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