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Felix Riese committed Jun 5, 2020
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14 changes: 14 additions & 0 deletions .gitignore
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__pycache__
.DS_Store
*.log
*.pdf
.ipynb_checkpoints
.vscode

datefile.txt
account.ini

data/ground_truth/*.csv
data/shapefiles/*/*
sentinel_api
plots
30 changes: 30 additions & 0 deletions LICENSE
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BSD 3-Clause License

Copyright (c) 2019, Philipp Wagner, Felix M. Riese, Sina Keller. Karlsruhe
Institute of Technology.
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
68 changes: 68 additions & 0 deletions README.md
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# CAOS Sentinel-2 Pipeline in Python

Pipeline for the processing of Sentinel-2 data and ground truth in the CAOS-Lux project

Workflow for creating a dataset out of soil moisture data and Sentinel-2A
images for the CAOS-lux soil moisture dataset in the Attert region of Luxemburg.
The data was aquired from 2014 to 2018.

**License:** [3-Clause BSD license](LICENSE)

**Authors:**

* [Philipp Wagner](https://github.com/philipp01wagner)
* [Felix M. Riese](https://github.com/felixriese)
* [Sina Keller](https://github.com/sinakeller)

**Citation:** See [Citation](#citation) and [bibliography.bib](bibliography.bib).

## Requirements

The dependencies and requirements can be found in `/dependencies`.

Install dependencies with:

```bash
./install_dependencies_and_scihub_account.sh
```

This script asks also for the Scihub account data which is stored in
`account.ini`.

## Howto

To create a dataset the script `py/create_dataset.py` has to be executed with
the desired date as command line argument in the format YYYYMMDD, e.g.:

```bash
python create_dataset.py 20161204
```

Alternative is to give a file as argument with a date in every line.
A new directory named after the date will be created in the directory
`/processed_data`. The script will download the desired S2A file, extract the
zip, and construct gtiffs for the measured area and the prediction area.
The IPython Notebooks provide an analysis of the constructed data. They include
visualization of soil moisture and Sentinel-bands, further pre-processing and
filtering and regression/classification where the soil moisture is predicted
based on the Sentinel-data. For the machine learning part, the common
regressors/classificators are used:

- Random Forest,
- Extra Trees,
- Support Vector Machine,
- Multilayer Perceptron.

## Citation

Philipp Wagner, Felix M. Riese and Sina Keller, "CAOS Sentinel-2 Pipeline in
Python", Code, Zenodo, 2020.

```tex
@misc{wagner2020caos,
author = {Wagner, Philipp and Riese, Felix~M. and Keller, Sina},
title = {CAOS Sentinel-2 Pipeline in Python},
year = 2020,
publisher = {Zenodo}
}
```
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117 changes: 117 additions & 0 deletions dependencies/dependencies_linux.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
@EXPLICIT
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