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Maximize Earth Engine: Faster Analysis Techniques for large satellite data computations |Geo4Good'23

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Google Earth

The slide deck for this talk → https://docs.google.com/presentation/...
More about the 2023 Geo for Good Summit → https://g.co/earth/geoforgood23

❤ DESCRIPTION:
Earth Engine has a lot of compute power available to run your computation, but not all scripts are able to take advantage of that power. Understanding how Earth Engine works can enable you to write scripts that make the most of its unconventional architecture.

Discover tricks to speed up your workflow, understand Earth Engine's execution details, and avoid common pitfalls that slow you down. Perfect for both newcomers and seasoned pros, this guide is your key to working smarter, not harder. Whether you're refining your approach or preparing for that final run, these strategies will save you time and frustration. Dive in and transform the way you use Earth Engine today!

#EfficiencyTips #remotesensing #EarthEngine #cloudcomputing #GeographicInformationSystem #GIS #ClimateAnalysis #EarthObservation #climatechange #sustainability #geospatial #GeoAnalysis

TIMESTAMPS:
0:00 Introduction
1:59 Data Handling Tip: Sampling Data
4:23 Efficient Workflow: Caching Results
9:32 Managing Large Data Exports
12:27 High Volume Data Export Strategies
14:39 Understanding Projections in GIS
22:16 Techniques for Reprojecting Data
26:53 Projections and Geometry Interactions
30:38 Working with Data Collections
41:03 Utilizing Footprint Properties
41:36 Filtering Data Collections
43:28 Code Editor Boundaries in GIS
44:35 Tips for Exporting GIS Images
47:05 Handling Unbounded Feature Collections
48:50 Using reduceRegion for Data Analysis
52:15 Data Masking with updateMask
54:20 Comparison: clip vs clipToBoundsAndScale

SPEAKERS:
Mike Dixon, Google

posted by Faraulaya