CLOUD-BASED REMOTE SENSING WITH GOOGLE EARTH ENGINE
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  • Go to the book
    • Get the repo
    • Section F1: Programming and Remote Sensing Basics
    • Section F2: Interpreting Images
    • Section F3: Advanced Image Processing
    • Section F4: Interpreting Image Series
    • Section F5: Vectors and Tables
    • Section F6: Advanced Topics
    • Section A1: Human Applications
    • Section A2: Aquatic and Hydrological Applications
    • Section A3: Terrestrial Applications - Part 1
    • Section A3: Terrestrial Applications - Part 2.
  • Table of contents
  • Videos
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​Author-led Videos

Visit the entire YouTube channel here!
https://www.youtube.com/@eefabook3667/playlists
​


Next session:
​
You are invited to attend (for free) the next author-led walk-through of a chapter from 
Cloud-based Remote Sensing with Google Earth Engine: Fundamentals and Applications !

1) Who, what, where, when?

We will return in June 2023 with presentations from

Part F6: Advanced Topics
If you register, we will give you a note before the next presentation

2) Registration Link 
Registration required, to discourage invasion from unwanted visitors 
https://mcgill.zoom.us/meeting/register/tZEqfuivrzIjGNGQMxReQ08Rzx9ORQ3qZ1pS

3) What is needed?  
​You will need your own Earth Engine account, and nothing else.

Note: This session will be recorded for future use as part of the book teaching materials. After the session, the video will appear below.
Come learn Earth Engine from an expert!

Part 1: Fundamentals


F1: Programming and Remote Sensing Basics


F1.0 JavaScript and the Earth Engine API
F1.1 Exploring Images
F1.2 Survey of Raster Datasets

 F1.3 The Remote Sensing Vocabulary



F2: Interpreting Images

F2.0 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
F2.1 Interpreting an Image: Classification
F2.2 Accuracy Assessment: Quantifying Classification Quality

F3: Advanced Image Processing

F3.0 Interpreting an Image: Regression
F3.1 Advanced Pixel-based Img. Transformation
F3.2 Neighborhood-based Image Transformation

F4: Interpreting Image Series

F4.0 Filter, Map, Reduce

F4.1 Exploring Image Collection
F4.2 Aggregating Images for Time Series

F4.3 Clouds and Image Compositing
F4.4 Change Detection
F4.5 Interpreting Annual Time Series with LandTrendr
F4.6 Fitting Functions to Time Series
F4.7 Interpreting Time Series with CCDC
F4.8 Data Fusion: Merging Classification Streams
F4.9 Exploring Lagged Effects in Time Series
  • home
  • About
  • Go to the book
    • Get the repo
    • Section F1: Programming and Remote Sensing Basics
    • Section F2: Interpreting Images
    • Section F3: Advanced Image Processing
    • Section F4: Interpreting Image Series
    • Section F5: Vectors and Tables
    • Section F6: Advanced Topics
    • Section A1: Human Applications
    • Section A2: Aquatic and Hydrological Applications
    • Section A3: Terrestrial Applications - Part 1
    • Section A3: Terrestrial Applications - Part 2.
  • Table of contents
  • Videos
  • Translations
    • Français
    • español
  • Contact
  • User Map