Author-led Videos
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!
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
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F1.0 JavaScript and the Earth Engine API
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F1.1 Exploring Images
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F1.2 Survey of Raster Datasets
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F1.3 The Remote Sensing Vocabulary
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F2: Interpreting Images
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F2.0 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
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F2.1 Interpreting an Image: Classification
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F2.2 Accuracy Assessment: Quantifying Classification Quality
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F3: Advanced Image Processing
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F3.0 Interpreting an Image: Regression
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F3.1 Advanced Pixel-based Img. Transformation
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F3.2 Neighborhood-based Image Transformation
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F4: Interpreting Image Series
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F4.0 Filter, Map, Reduce
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F4.1 Exploring Image Collection
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F4.2 Aggregating Images for Time Series
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F4.3 Clouds and Image Compositing
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F4.4 Change Detection
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F4.5 Interpreting Annual Time Series with LandTrendr
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F4.6 Fitting Functions to Time Series
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F4.7 Interpreting Time Series with CCDC
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F4.8 Data Fusion: Merging Classification Streams
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F4.9 Exploring Lagged Effects in Time Series
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