Comments (8)
Thanks @swinsem, I think this would be a valuable contribution. To provide a broad benefit to users, I recommend making the title and context section generic with regard to dataset, as you are alluding to with Sentinel-2 (I can imagine wanting to do the same thing with MODIS, misc. climate data, etc.). Along the same lines, I suggest that the structure be rearranged a little so there is a section after Context that describes the process/logic and the functions needed to do the per point per image extraction and exporting, regardless of dataset. Follow it with a section that is an applied example using Landsat, which includes anything specific to Landsat (importing multiple collections, masking, etc.). This way people wanting to apply this method to e.g. Sentinel-2 don't have to determine what code snippets are specific to Landsat - they can just copy out the exaction functions.
- Context
- Point-value extraction (description of logic and functions regardless of dataset)
- An example using Landsat
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Hi @swinsem, your community tutorial proposal has been accepted. To get
started writing a new tutorial, please follow these instructions. Please be sure to take @jdbcode 's above suggestions into consideration and/or discuss them here with him before beginning. We look forward to receiving your contributions!
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Thanks! Could I switch from Markdown to Colab?
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Definitely!
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Hi @swinsem, just checking in, please let me know if I can help move this tutorial along in any way. Note that I recently published an EE Python API Colab Notebook tutorial that you might find useful for examples of formatting conventions, etc.
Best,
Justin
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Hey @jdbcode sorry for the delays! I've been working on some other pressing research things but will try to get this finished up by the end of September. I'm leaving on vacation tomorrow so won't be able to work on it for a little while.
I was considering adding in a way to do weighted average, for example with the center pixel counting for twice the surrounding pixels. In looking for citations for the Context section, I found there's quite a bit of variation in how people use neighborhood averages even within the fire severity mapping literature I was reading, so I thought it would be cool to include this as another common method and extension of the simple average. Would I do this using splitWeights?
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@swinsem The tutorial is published! 🎉 🥇
https://developers.google.com/earth-engine/tutorials/community/extract-raster-values-for-points
It was great working with you and thanks for your perseverance on this!
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Closed by #243
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