Author-led Videos
Next session:
You are invite 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?
On February 6, 2023, at 12:30PM ET,
Jeff Cardille (McGill University)
will present and walk you through the chapter
Chapter F4.0: Filter, Map, Reduce
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 invite 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?
On February 6, 2023, at 12:30PM ET,
Jeff Cardille (McGill University)
will present and walk you through the chapter
Chapter F4.0: Filter, Map, Reduce
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
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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
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
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
F4.1 Exploring Image Collections
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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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