Database
Table of contents
The database module of PyRawS contains the essential data repositories required for Sentinel-2 raw data processing. Two important files are located in this module:
shift_lut.csv: Stores the predetermined offsets for adjusting the bands of Sentinel-2 raw data.
thraws_db.csv: Serves as the main database file, containing necessary information for raw data processing.
Working with THRAWS
The creation of your custom database, “THRAWS”, is facilitated by a Jupyter notebook, namely database_creation.ipynb, included in this repository. The notebook provides a comprehensive set of instructions and the corresponding code for establishing the database. Follow these instructions diligently to ensure the accurate and error-free creation of the “THRAWS” database. Please ensure that all the required packages and dependencies are installed in your environment prior to running the notebook.
The included THRAWS database is a representative example, illustrating how PyRawS organizes and processes Sentinel-2 Raw and L1 data. The database features several essential fields:
ID_event: Identification for each event (e.g., volcanic eruption, wildfire, not-event). The remaining fields in the row correspond to this particular Sentinel-2 acquisition.
class: Event class (e.g., eruption, fire, not-event). If not known, leave it empty.
Raw_useful_granules: List of Raw useful granules. Set to None or leave it empty if unknown.
Raw_complementary_granules: List of Raw complementary granules. Set to None or leave it empty if unknown.
Raw_files: List of Raw granules (mandatory).
l1c_files: List of L1 tiles (mandatory if L1C data are required).
bbox_list: Dictionary consisting of Raw useful granules and corresponding bounding box lists. Set to None or leave it empty if the bounding box location is unknown.
Working with custom databases
To create a custom database, please proceed as follows:
Generate a “.csv” file mimicking the structure mentioned above and save it in the database subfolder (e.g., my_db.csv). You may start from the [thraws_db.csv](https://github.com/ESA-PhiLab/PyRawS/-/blob/main/PyRawS/database/thraws_db.csv) database and modify it according to your requirements.
Create a subdirectory named my_database_name under the data directory and populate it with corresponding Sentinel-2 Raw data and Sentinel-2 L1 data as described in the Data directory.
Update the DATABASE_FILE_DICTIONARY in PyRawS/utils/constants.py:
`python DATABASE_FILE_DICTIONARY={"THRAWS" : "thraws_db.csv", "my_database_name" : "my_db.csv"} `
You can now utilize your custom database! Please note, although creating a database is not mandatory, it is highly recommended. Without a database, while you can open Raw data as described in Open a Raw event from path, you cannot retrieve some essential information, such as Raw useful granules for a specific event, event bounding boxes, or image class.