GEO419A

This project was created as part of the Geo 419A - Modular Programming in Remote Sensing: Python Part I module at Friedrich Schiller University Jena by Panagiotis Koutsikos and Gerasimos Papakostopoulos and was supervised by Prof. Dr. Christiane Schmullius, Martin Habermeyer, and Marco Wolsza.

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Quick Info

The aim of this work was to develop a functional and reproducible application that downloads, extracts and visualises a SAR scene from a zipped folder from a given URL. This could be successfully implemented by using the programming language Python v3.10.12 and the following libraries:

Packages	Numpy	GDAL	Rasterio	Requests	Matplotlib
Version	1.25.0	3.7.0	1.3.7	2.31.0	3.7.1

This repository contains the following functions:

• Fetching data from a URL url_path.py
• Downloading data from given URL to the specified folder data_download.py
• Unzipping compressed folder unzip.py
• Convertion of the SAR acquisition to a NumPy array and logarithmic scaling of its values log_scale.py
• Plotting and saving the visualisation as PNG plot.py
• Running all funtions main.py

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Getting Started

In order to smoothly run the code you may use our predefined python environment GEO419A_env.yml file by downloading the file from this repository.

• First you need to create a new environment. Open the Anaconda prompt/terminal, make sure that the GEO419A_env.yml file is in the specified directory, and enter the following:

conda env create -f GEO419A_env.yml

• Then you can activate the created environment by entering:

conda activate GEO419A_env

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Running the Code

When you're done creating your environment, you can now run the code in your preferred IDE. Make sure that all files contained in this repository are in the same folder. By running the "main.py" file the code should start and the programme should produce a visualisation of the data.

Additionally, there is also the possibility of running the code through the terminal. In order to do so, first navigate to the folder where the script is located using the following code:

cd "C:\Your\Path"

You can then run the programme by executing the following:

python main.py