Environment to test, visualize, and process Lowrance plotter/sounder data. All with the help of https://github.com/opensounder/python-sllib for interpreting the actual files.

You will need to have docker installed on your machine to follow the instructions. Also make sure that you have the sample-data submodule cloned.

git submodule update --init --recursive

Using the read_echogram.ipynb file, one can visualize and process sonar images such as

Using the depthmap.ipynb file, one can interpolate and plot a bathymetry map such as

Using the geojson_on_map.ipynb file, one can visualize the trajectory of the sonar in a google maps like map called GeoJSON.

make build
# now wait while the image is being built

make run
# follow the instructions that and browse to the link provided by 
# jupyter in the end

Could be from you linux terminal as well but you will have to make some adjustments.

docker build -t sllib-scipy-notebook -f containers/Dockerfile containers/

# this works in powershell on windows, adapt to your environment
docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes `
    -v "${PWD}:/home/jovyan/work" `
    sllib-scipy-notebook

• PyKrige install:

pip install pykrige

The sl2 files and the csv files are stored in the APRILab Google Drive