step5.rst

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Working with Google Earth Engine API

Description: Run Earth Engine from your Jupyter Notebook or Lab

Dr. Guillermo E. Ponce-Campos from the Tucson ARS Southwest Watershed Research Center has developed some NEON tuturials on Google Earth Engine and an Earth Engine App.

Samapriya Roy has provided us with a Planet Labs & Google Earth Engine Tutorial

Install Earth Engine API

Official Instructions

Requirements: Docker

Build Dependencies:

sudo usermod -aG docker $USER

Set the paths:

export CONTAINER_IMAGE_NAME=gcr.io/earthengine-project/datalab-ee:latest export WORKSPACE=${HOME}/workspace/datalab-ee mkdir -p $WORKSPACE cd $WORKSPACE

Run the Container (detached):

Establish a secure connection with Caddy:

proxy / 127.0.0.1:8081 {

websocket transparent

} " > Caddyfile curl https://getcaddy.com | bash -s personal http.nobots caddy

Use Google Colaboratory

Google has its own Jupyter service called 'Colaboratory'

https://colab.research.google.com/

Download Data

Fix or improve this documentation

• On Github: Repo link
• Send feedback: Tutorials@CyVerse.org

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