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Remote Sensing and Change Detection with Sentinel Time Series Data

Materials for the Remote Sensing and Change Detection with Sentinel Time Series Data.

Prepared by:
Krištof Oštir, Bujar Fetai, Matej Račič, Ana Potočnik Buhvald (University of Ljubljana)

Preparation

The repository consists of installation instructions, notebooks and practical information.

The repository can be synchronized using git pull or downloaded as a zip file. The data used for the practical exercise can be downloaded from geoclassroom.

The practical has installation instructions which should be completed in advance.

Installation instructions

We will be using Anaconda, which can be installed from the website. If you have limited resources we suggest the us of Miniconda. Once installed open Anaconda Prompt and move to the location of the extracted repository cd Downloads/EduServ24/. If you have downloaded it to a different drive change the location to the drive first, example D: and press Enter.

Here you can create a new environment for this tutorial using the provided environment.yml file:

conda update -n base -c defaults conda
conda env create --file environment.yml
conda activate eo

Alternatively, you can use pip to install the libraries using 'pip' and follow the tutorial. This will take some time. Once installed run jupyter lab and a browser tab will open.

Practicals

We will be using the notebooks available in the corresponding folders. To run the notebook after the practical you will need a Sentinel Hub account, a free trial is available. Once registered you can follow the instructions to configure access to the services or use sentinelhub.id with credentials_SH.ipynb.

Additional resources

This tutorial is based on the materials provided by Sinergise. Where you can find even more examples and resources for the eo-learn library.

Acknowledgment

Preparation of the materials was part financed by the Slovenian Research Agency core funding No. P2-0406.

License

This project is licensed under the terms of the Apache License.

© Copyright 2024 University of Ljubljana, Faculty of Civil and Geodetic Engineering

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