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Use of satellite data to analysis the NDVI of the "Hauts de France" region, and compare the results with the "ville et village fleuris" label.




Table of Contents
  1. About The Project
  2. Getting Started
  3. Contact

About The Project

Using the NDVI satellite data of the "Hauts de France" region, to compare to the "ville et village fleuris" label.

Data has been extracted from the french opendata website here

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

  • Python

Installation

  1. Clone the repo

    git clone https://github.com/gatienc/City-vegetation-analysis
  2. Install dependencies

    poetry install
  3. Then you'll need to download the data from the french opendata website here.

  4. You will also need a sentinelhub account to download the satellite data. You can create an account here. When you have your account, you can fill the .env file with your credentials.

  5. Collect the data with "ndvi_data_collection.ipynb" notebook.

  6. Analyse the data with "image_analysis.ipynb" notebook.

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Project Organization

├── LICENSE
│
├── README.md          <- The top-level README for developers using this project.
│
├── data               <- Data folder for the project
│
├── docs               <- A MkDocs documentation
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks.
│
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
│
└── src                <- Source code for use in this project.
    ├── __init__.py    <- Makes src a Python module
    │
    ├── features       <- Scripts to turn raw data into features for modeling
    │
    └── visualization  <- Scripts to create exploratory and results oriented visualizations
        └── visualize.py

Contact

Gatien Chenu - [email protected]

Project Link: https://github.com/gatienc/City-vegetation-analysis/issues

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