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Remote Sensing Analysis With Python Scripts Collection

Hi Geospatial Enthusiast!

I have been sharing many of my scripts about remote sensing analysis such as land cover classification, or deep learning. Now I want to combined it into one repository. Thus no need one repository for each analysis.

For now only three scripts area available, next time will be more. I will probably updated this every month or when I make a new scripts.

Scripts catalog

  1. Cloudless and Topograhic Corrected Landsat Composite
  2. Land Cover Classification
  3. Deep Learning Land Cover Classification with U-Net
  4. Primary and Secondary Forest Classification

General Instructions Without Docker

To make sure you can run scripts as expected, do:

  1. Install Python 3.9 - 3.12.
  2. Create virtual environment at the base of this repository with python -m venv .venv.
  3. Activate the virtual environment with .venv\Scripts\activate.
  4. Install all the necessary packages from requirements.txt with pip install -r requirements.txt.
  5. Open and run the script from the catalog.

General Instructions With Docker JupyterLab

To make sure you can run scripts as expected, do:

  1. Run docker compose up --build
  2. Open http://127.0.0.1:8888/lab in the browser
  3. Open and run the script from the catalog

Created by Ramadhan

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Examples of excercises of landcover classification with Python

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