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Welcome to the coastalimagelib wiki!

This Wiki is intended to serve as a reference for those interested in using the CoastalImageLib. CoastalImageLib is a Python- based library that produces common coastal image products intended for quantitative analysis of coastal environments. This library contains functions to georectify and merge multiple oblique camera views, produce statistical image products for a given set of images, create subsampled pixel instruments for use in bathymetric inversion, surface current estimation, run-up calculations, and other quantitative analyses. This library also contains support functions to format camera intrinsic values from various input file formats and convert extrinsic values from geographical to user defined local coordinates. This package intends to be an open- source broadly generalizable front end to future coastal imaging applications, ultimately expanding user accessibility to optical remote sensing of coastal environments.

This package was developed and tested on data collected from the Argus Tower, a 43 m tall observation structure in Duck, North Carolina at the US Army Corps of Engineers Field Research Facility that holds six stationary cameras which collect twice- hourly image products of the dry beach and surf zone. Thus, CoastalImageLib also contains functions designed to interface with the file storage and collection system implemented at the Argus Tower.

For an illustrative example of how to use coastalimagelib, see this Jupyter Notebook.

Jump to the different pages in this wiki:

• Software Architecture
• Core functions
• Support functions
• XYZGrid class
• CameraData class