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This repository has been archived by the owner on Sep 10, 2024. It is now read-only.
Create a python 3.x function to calculate the distance between a set of images and navigable waterway lines.
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 navigable waterway lines. It is unknown if the waterway lines 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 navigable waterway line, UUID of nearest navigable waterway line
setup.sh will needed to be updated to download USDOT: navigable waterway lines. A default data directory titled /data/USDOT-NavigableWaterwayLines should be created to store the data.
This issue is a precursor to creating a function that considers all waterways, which will be much more computational expensive. The USDOT dataset has only 6,873 records. Many of these traverse the ocean and can likely be filtered out too.
The text was updated successfully, but these errors were encountered:
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Create a python 3.x function to calculate the distance between a set of images and navigable waterway lines.
setup.sh
will needed to be updated to download USDOT: navigable waterway lines. A default data directory titled/data/USDOT-NavigableWaterwayLines
should be created to store the data.This issue is a precursor to creating a function that considers all waterways, which will be much more computational expensive. The USDOT dataset has only 6,873 records. Many of these traverse the ocean and can likely be filtered out too.
The text was updated successfully, but these errors were encountered: