End-to-End Google Earth Engine (Online)

Spatial Thoughts is offering an end-to-end course for participants who wish to learn and master Google Earth Engine. 

This will be a live online cohort-based course. We will have 6 sessions of 4-hours each over 2 weeks. Participants are expected to attend all 6 sessions to complete the course. 

Tuesday,     8 November, 2022: 6pm-10pm IST (4 hours)  - Check Local Time

Wednesday, 9 November, 2022: 6pm-10pm IST (4 hours) - Check Local Time

Thursday,   10 November, 2022: 6pm-10pm IST (4 hours) - Check Local Time

Tuesday,    15 November, 2022: 6pm-10pm IST (4 hours) - Check Local Time

Wednesday, 16 November, 2022: 6pm-10pm IST (4 hours) - Check Local Time

Thursday,   17 November, 2022: 6pm-10pm IST (4 hours) - Check Local Time

Prerequisite: Basic Understanding of Remote Sensing Concepts. No programming knowledge is required.

Course Outline:

This course takes a hybrid-learning approach with a mix of live instructor-led sessions followed by recorded videos for additional practice.

Course Pre-work (Self-study, 2-hours)

• Introduction to Remote Sensing (video)
• Introduction to Earth Engine (video)

Session 1: Earth Engine Basics (Live Session, 4-hours)

• Introduction to the Code Editor
• Fundamentals of JavaScript programming
• Working with Image Collections
• Creating Mosaics and Composites
• Working with Feature Collections
• Import/Export

Session 2: Earth Engine Intermediate (Live Session, 4-hours)

• Map/Reduce Programming Concepts
• Calculating Indices
• Cloud Masking
• Calculating Area and Statistics
• Time-series Charts

Session 3: Machine Learning with GEE (Live Session, 4-hours)

• Machine Learning Concepts
• Introduction to Supervised Classification
• Accuracy Assessment
• Improving Classification
• Exporting Classification Results

Assignment (Self-study, 2-hours)

Assignment 1: Export VIIRS DNB NightLights Data

Assignment 2: Chart a Time Series from TerraClimate Data

Session 4: Change Detection (Live Session, 4 hours)

• Introduction to Change Detection
• Spectral Distance Change
• Direct Classification of Change
• Post-classification Change Comparison

Session 5: Earth Engine Apps (Live Session, 4 hours)

• Client vs. Server
• Building User Interfaces in Earth Engine
• Publishing your first Earth Engine App

Session 6: Earth Engine Python API (Live Session, 4 hours)

• Introduction to Google Earth Engine Python API
• Exporting ImageCollections
• Using Python libraries for creating Charts
• Automating Downloads
• Overview of GEE+Tensorflow integration for Deep Learning

View Course Materials

Certification:

Upon successful completion of all the live online sessions and completing the assignments, participants will be issued an employer-verifiable certificate from Spatial Thoughts. Learn more.

About the Instructor:

Ujaval Gandhi is the founder of Spatial Thoughts. He has 15+ years of industry experience and is a world-renowned GIS expert. He previously worked at Google and led the Google Earth Outreach team in India, training over 1000 researchers, scientists, and engineers to use Google Earth Engine.

See the full profile at https://spatialthoughts.com/about

What do Participants Say:

"Really, enjoyed this course and learned a huge amount, from JavaScript basics to using Google Earth Engine for supervised classifications and App creation. The interactive style of the course really helped with some of the more difficult coding parts, as I definitely learn more by doing than watching. Overall pleased and would recommend to anyone wanting to learn more about Google Earth Engine." - Joe Lydon, Sior Consulting, Ireland

"The End-to-End Google Earth Engine course was excellent and covered diverse topics. The course was very well planned with topics from basic to advanced – always including small exercises that make the classes very interactive. It worked perfectly online. Great value for money. I definitely recommend his classes". -Elisa Schneider, Forest Research Institute of Baden-Württemberg (FVA), Germany

"I found the course extremely helpful. Even though I am not familiar with either JavaScript or Python, I did not come across any difficulties while handling GEE as the course was designed and delivered in a way that guided us through everything. The concepts were made easy to grasp. Also, the support received throughout the course was excellent. I would highly recommend this course and I look forward to attending future courses as well." - Aatreyee Nath, NESAC, India

I highly recommend this course on Google-Earth-Engine (GEE) to anyone interested in remote sensing and spatial analysis. I have followed other courses with GEE and tutorials which gave basics understanding, but this course is the best course. It builds skills with well-explained bits of information until you feel confident with the API. The team and support from Ujaval and Santhosh are just great and help not only for the course material but for real applications. I am very happy with the results from the course and saves me a lot of time for real jobs mapping forest at country scale. -Inti Luna, Aistech Space, Spain.

Logistics

• Participants will use their laptop.
• The workshop will be conducted over Zoom. Meeting ID and password will be shared by email 1 day before the event.

Refund policy:

• You can cancel your registration up to 7-days before the class and get a full refund.
• For last-minute cancellations, we will try our best to accommodate you to a future batch of this course without an additional charge.
• In the unlikely event that we need to canceled or move the training to a different date, you will be provided a 100% refund.

Student discounts and scholarships available. See eligibility criteria and application process.