Preparing S-57 data using enc processor Python module

S-57 source data can be converted to MBTiles using the Python module enc_processor. The output is split into one MBTiles dataset for each scaleband. Some layers are given custom fields to facilitate rendering in MARIA GDK. Zoom level configuration in the output is defined to work with the existing product NorwayNauticalENCVector.

Processing all scalebands for Norway typically takes 7-9 hours on a fast computer and SSD.

scalebands = {
    1 : {'name':'Overview', 'minzoom':3, 'maxzoom':12},
    2 : {'name':'General', 'minzoom':10, 'maxzoom':13},
    3 : {'name':'Coastal', 'minzoom':10, 'maxzoom':13},
    4 : {'name':'Approach', 'minzoom':13, 'maxzoom':16},
    5 : {'name':'Harbor', 'minzoom':14, 'maxzoom':17},
    6 : {'name':'Berthing', 'minzoom':14, 'maxzoom':17},
}

Dependencies

When this tool is distributed as a bundle with enc_processor.exe, the executable can be run on Windows with not external dependencies.

When distributed as a Python wheel, it depends on the following non-standard Python packages:

• GDAL
• protobuf

Arguments

Argument	Description
input	Input folder containing S-57 "000" files. Folders are searched recursively.
output	Output folder where MBTiles will be built
--outputtype	product to create a fully compatible product with styling and data. files to create data files only.
--debug	Write debug log messages

Examples

Display help:

python -m enc_processor --help

Convert a directory tree of S-57 files to MBTiles, with detailed log messages:

python -m enc_processor c:\work\enc\enc_root\ c:\work\enc\mbtiles\ --debug