The USGS 3DEP project (United States Geological Survey 3D Elevation Program) aims at responding to growing needs for high-quality topographic data and a wide range of 3D data representation of the county’s features. You can read about the full project here. The data is stored in a repository on an amazon server. The server contains geospatial data on over 1000 geographical regions. The data stored is in a .ept JSON file format. Entwine Point Tile format (ept)is a simple way to store data. It achieves this by a simple tree-based format. To enable processing ept has crucial keys that enable smooth processing. The dataset is however very complicated to understand
Hence this project aims to create a package to interact with the data and process it into a less complex file
Download USGS 3DEP data from here
jsons-folder contains all pipleines in form of .ept.json files
laz-stores processed laz files
tif-stores .tif files
notebooks- contains notebooks used
The package documentation can be found in the usg3.pdf file
The package is naed USG3, to download and use it follow this steps.
To call the package use pip install USG3
python setup.py sdist bdist_wheel - This makes the package available for local system usage
classification.py allows user to define classification for pipeline processing
generate.py base script to generate new tif and laz files
reprojection.py this script reprojects the sh files into a standard format using geopandas
elevation_data.py this script calculates elevation and returns a geodataframe and a csv file containing elevation and geometry data
visualize.py this script contains all visaulization libraries for the data.
Simple tutorials on how to interact with the API are available in the notebooks folder.
scriptdemonstration.ipynb this contains tutorial on basic preprocessing and interaction of the API with the data
plotting bounds.ipynb this illustrate how user can define bounds and plot the map of the bounds in respect to the general area
standardizing points this tutorial highlights how to standardize elevation and points of the data and plot them
testfile.html is an example 3d render obtained from the scriptdemonstration notebook
https://entwine.io/entwine-point-tile.html
