Merge pull request #2 from geo-smart/main

merging

book/_toc.yml

@@ -21,6 +21,7 @@ parts:
       - file: preliminary/checklist/jupyterhub
       - file: preliminary/checklist/git
       - file: preliminary/checklist/earthdata
+      - file: preliminary/checklist/earthengine
     - file: preliminary/skills_refresher_index
       sections:
         - file: preliminary/skills-refresher/swc

book/preliminary/checklist/earthengine.md

@@ -0,0 +1,20 @@
+# Google Earth Engine Sign-Up
+
+## Overview
+
+[Google Earth Engine](https://earthengine.google.com/) (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial raster datasets with planetary-scale analysis capabilities. It provides an easy, unified way to query for raster data that can help you put GeoSMART data into context. Earth Engine is available for commercial use, but remains free for academic and research use.
+
+## Do I need to register for a Google Earth Engine account?
+
+Our Google Earth Engine (GEE) tutorial will have an interactive component that uses GEE to query for additional data that can help you put your data into context. 
+If you would like to follow this part of the tutorial interactively, you will need to have registered for an account so that you can authenticate GEE. 
+
+## Registering for an Earth Engine account
+
+* Go the the [GEE sign up page](https://signup.earthengine.google.com/) and enter the email you want to use for your GEE account. A gmail - or an institutional address with an associated google account - is best if you have one.
+* Enter your email, your affiliation and country/region. Where it asks what you want to accomplish, mention you are at ICESat-2 Hackweek at the University of Washington.
+* Review the terms, verify your non-robot identify and click ‘Submit’.
+* Check your email, including your spam folder, for a link from the Google Developer’s Team. The confirmation email will have directions on how to access the Code Editor.
+* Not sure if you have access? Use [this link](https://code.earthengine.google.com/) to check. If you didn’t get access you will get an authorization error that says your account isn’t registered. If you do have access, the link will open up the Javascript IDE. This link is your permanent portal to GEE access.
+
+![gee-signup](../../img/gee-signup.jpg)

book/preliminary/checklist_index.md

@@ -22,6 +22,10 @@ __Upon completion you__:
   <input type="checkbox" name="a5">
   <label for="a5">Setup the `git` command after logging into the JupyterHub</label>
 </div>
+<div>
+  <input type="checkbox" name="a6">
+  <label for="a6">Created a Google Earth Engine Login</label>
+</div>
 ```
 
 ### Slack Account
@@ -64,3 +68,8 @@ All content of the hackweek will be shared via GitHub and interacting with the
 website will be done via the `git` command.
 Visit [Setting up the `git` command](checklist/git.md) to learn how to configure that!
 
+### Google Earth Engine Sign-Up
+
+If you want to interactively follow along the tutorial for data exploration and visualization, you need to be registered for Google Earth Engine (GEE) to be able to run the code. 
+The sign-up process might take a few days, so it is best to do this well in advance of the hackweek. 
+Visit [Google Earth Engine Sign-Up](checklist/earthengine.md) to learn how to get access!

book/team.yaml

@@ -350,5 +350,24 @@ people:
     user_groups:
       - Tutorial Lead
 
+    # =================
+  - title: Valentina Staneva
+    avatar: https://escience.washington.edu/wp-content/uploads/2022/09/Valentina-Staneva.jpg
+    role: Data Scientist
+    organizations:
+      - name: University of Washington
+    bio: Valentina Staneva is a data scientist at the eScience Institute at the University of Washington. Her background is in math and image processing, and she collaborates with scientists on leveraging ML/AI techniques in their research. She likes teaching researchers how to get started with programming and improve their data analysis workflows. 
+    expertise:
+      - Machine Learning
+      - Image Processing
+      - Python, git/GitHub
+      - Reproducible Data Workflows
+    social:
+      - icon: github
+        icon_pack: fab
+        link: https://github.com/valentina-s
+    user_groups:
+      - Tutorial Lead, Hackweek Helper
+