/CRC4Docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Primary LanguageJupyter NotebookMIT LicenseMIT

CRC4Docker

Source files for the Docker image mort/crc4docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

On Ubuntu, for example, pull and/or run the container for the first time with

sudo docker run -d -p 443:8888 -p 6006:6006 -v <my_image_folder>:/home/myimagery/ --name=crc4 mort/crc4docker

This maps the host directory my_image_folder to the container directory /home/myimagery/ and runs the container in detached mode.

Point your browser to http://localhost:443 to see the Jupyter home page and open a notebook.

In order to use Earth Engine scripts, you must authenticate. From the home page open a local terminal and enter

earthengine authenticate

and follow the instructions. This adds authentication information to the container and only has to be done once.

Stop the container with

sudo docker stop crc4  

Re-start with

sudo docker start crc4