CLOUD-BASED REMOTE SENSING WITH GOOGLE EARTH ENGINE
  • 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
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​Author-led Videos

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



Upcoming sessions:
​
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 !

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Now working through the Applications half of the book!!
We'll be returning in September with more walk-throughs! 
​Register now to receive email before the next presentation...


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Registration Link 
Registration required, to discourage invasion from unwanted visitors 
https://mcgill.zoom.us/meeting/register/tZEqfuivrzIjGNGQMxReQ08Rzx9ORQ3qZ1pS
If you register, we will give you a note before the next presentation

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​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

F5: Vectors and Tables

F5.0 Exploring Vectors (TBA)

F5.1 Raster/Vector Conversions (TBA)

F5.2 Zonal Statistics (TBA)

​F5.3: Advanced Vector Operations
​F5.4: GEEDiT: Digitising from Satellite Imagery (TBA)

F6: Advanced Topics

F6.0 Advanced Raster Visualization
​

F6.1 Collaborating in Earth Engine with Scripts and Assets (TBA)

F6.2 Scaling up in Earth Engine (TBA)

F6.3 Sharing Work in Earth Engine: Basic UI and Apps
​F6.4 Combining R and Earth Engine (TBA)
 

Part 2: Applications


A1: Human Applications

Coming 2023-2024
A1.1 Agricultural Environments (TBA)
A1.2 Urban Environments (TBA)
A1.3 Built Environments​ (TBA)



A1.4 Air Pollution and Population Exposure (TBA)

​A1.7 Humanitarian Applications (TBA)
A1.5 Heat Islands

A1.6 Health Applications (TBA)

​A1.8 Monitoring Gold Mining Activity Using SAR (TBA)

A2: Aquatic and Hydrological Applications

Coming 2023-2024

A3: Terrestrial Applications

Coming 2023-2024
​
  • 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