Downloading, cleaning and aggregation of NO2 (Nitrogen Dioxide) datas from the European satellite Sentinel5. This work is being carried out as part of the AMSECovid19 project.
├── LICENSE
├── README.md <- The top-level README for developers using this project.
│
├── datas_sentinel5 <- You have to look here if you are only interested in downloading the data.
│ ├─ archives <- File in which the files are recorded and definitively processed
│ ├─ cleaned <- Folder where cleaned, non-aggregated records are temporarily stored.
│ ├─ csv <- Data file extracted from the ONDA DIAS API to obtain the links to
│ │ download the files.
│ └─ tracking_files.csv <- Automatically generated file, allows you to record the days processed,
│ with the number of files downloaded. This makes it possible to detect
│ the presence of new files for a day that has already been downloaded.
│
├── notebooks <- Notebooks folders
│ ├── confidential
│ │ └──secrets.py <- Secret script where ID and password are saved to connect to ONDA DIAS
│ │ with following elements: user="<your_username"
│ │ password = "<your_password>"
│ ├── analysis.ipynb <- Give a small analysis of our datas
│ ├── country_code.py <- Got all ISO-2 country codes for analysis
│ └── main.py <- Main script to run. Download and clean the datas from ESA.
│
└── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
generated with `pip freeze > requirements.txt`