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 class at a EMEA and APAC time. We will have 4 sessions of 4-hours each over 2 weekends. Participants are expected to attend all 4 sessions to complete the course. 

Saturday, 1 May: 3pm-7pm IST (4 hours) - Check Local time

Sunday, 2 May: 3pm-7pm IST (4 hours)  - Check Local time

Saturday, 8 May: 3pm-7pm IST  IST (4 hours) - Check Local time

Sunday, 9 May: 3pm-7pm IST  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: Supervised Classification (Live Session, 4-hours)

• Introduction to Supervised Classification
• Classifying images
• Accuracy Assessment
• Hyperparameter Tuning
• Change Detection

Session 4: Earth Engine Advanced (Live Session, 4 hours)

• Client vs. Server
• Scaling your analysis and overcoming common errors
• Building User Interfaces in Earth Engine
• Publishing your first Earth Engine App
• Using the Google Earth Engine Python API

Post-Course Assignment: End-to-End Applications (Self-study, 6 hours)

Participants will be provided Step-by-step video-based walkthrough of implementing the following analysis using Earth Engine. Participants can continue their learning journey by implementing these projects for their region of interest after the class.

• Drought Monitoring: Calculating Rainfall Deviation from the 30-year mean using CHIRPS Gridded Rainfall Data (Video, 2-hours)
• Flood Mapping: Rapid mapping of a flood using Sentinel-1 SAR Data (Video, 2-hours)
• Extracting Time-Series: Extracting a 10-year NDVI time-series over multiple polygons using MODIS data. 

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 Partcipants Say:

"The End-to-End Google Earth Engine course was excellent and covered diverse topics. The course was very well planed 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 very easy to grasp. Also, the support received throughout the course was really good. I would highly recommend this course and I look forward to attending future courses as well." - Aatreyee Nath, NESAC, India

"Do check Ujaval’s new course on Applied Remote Sensing with Google Earth Engine. The way he structured his course is awesome and it covers all aspects of GEE along with its use case. I strongly recommend this course for those who want to master GEE." - Raja Sivaranjan, Louis Dreyfus Company, India

Logistics

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

Refund policy:

• 50% of the ticket amount will be refunded if canceled 15-days before the training.
• No refunds if you cancel within 15-days of the training date.
• In the unlikely event of the training getting canceled or moved to a different date, the participants will be provided a 100% refund.

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