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Create a python 3.x function to calculate the distance between a set of images and lakes.
Inputs either a N X 1 imagery UUID or an image itself
Calculate the distance, in units meters, between the latitude, longitude metadata of the image and all nearby lakes. If the image was taken over a lake, the distance should be set to zero.
It is recommended to first do a polygon check to determine if over a lake, and then calculate distance if needed.
Ensure that the lake boundaries have consistent and uniform spacing between points. If they do not, the lines may need to be interpolated to have consistent spacing between points.
Output a N X 4 column of UUID, image latitude, image longitude, distance to nearest lakes, UUID of nearest lake
Create a python 3.x function to calculate the distance between a set of images and lakes.
setup.sh
will needed to be updated to download the lake dataset. The Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a potential lake datasetThe text was updated successfully, but these errors were encountered: