This script converts Area of Interest (AOI) footprints from Planet Labs data ordered each month through CSDAP into usaable DESIS tasking regions. The script employs a density algorithm that reduces the number of tasking areas. The idea is that it may prove valuable to task DESIS for data that has similar AOIs as data ordered from Planet Labs. This script takes a csv file that containts Planet geojson_geometry and converts it to geopandas geometry to determine polygons, poylgon centroid and extents, distance and direction from each extent point to the centroid.

DBSCAN is a density-based clustering algorithm that identifies clusters from dense regions in the data. This script applies DBSCAN to reduce the number of AOIs by identifying clusters from regions with a dense number of AOIs. DBSCAN requires two input parameters: minimum number of samples and epilson value. The epilson value is the radius of the neigborhood around a point/polygon. The default value for the minimum number of samples is 1 to ensure all areas are accounted for. The epilson value represents the maximum distance between points for each cluster. For example, an epilson value of 5 represents 5km per radian. See the following for more information on DBSCAN: https://www.datanovia.com/en/lessons/dbscan-density-based-clustering-essentials/

cartopy, geopy, geojsonio, geopandas, geoplot, numpy, pandas, pyproj, shapely, sklearn

1. Download the monthly NASA Planet Labs Mirror csv file.
2. Run the script.
3. The script will first prompt to enter the csv file name.
4. User will next be prompted to enter the year (e.g., xxxx) of the mirrored data. This will be included in the output file name.
5. User will then be prompted to enter the month (e.g., xx) of the mirrored data. This will be included in the output file name.
6. User will then be prompted to enter the minimum number of samples for the DBSCAN clustering algorithm. If no user input or input not an integer, the default value is 1.
7. User will finally be prompted to enter the desired epsilon value for the DBSCAN clustering algorithm. If no user input or input not an integer, the default value is 25.
8. The script will output a csv file.

1. User downloads the following Planet Labs monthly data order csv file to convert for DESIS taskeing: "NASA_Mirror_2020_06NASA_Mirror_2020_06.csv." Enter the following command: $python planet_aoi_conversion.py

2. User will be prompted with: "Please enter the csv file name including the extension:" In this case, the user will enter "NASA_Mirror_2020_06NASA_Mirror_2020_06.csv"

3. User will be prompted with "Please enter the year that the data was mirrored in the following format yyyy:" In this case, the user will enter "2020." The year must be entered as a four-digit year or the script will invoke an error

4. User will be prompted with "Please enter the month that the data was mirrored in the following format yyyy: Which is "06" for June. The month must be entered as two digits or the script will invoke an error.

5. User will be prompted with "Please enter an integer value for the minimum number of samples for the DBSCAN cluster algorithm:" The default value is 1.

6. User will be prompted with "Please enter an integer value for the epilson value for the DBSCAN cluster algorithm:" The default value is 5.