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Creating courses and/or lessons based on habitat type #50

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ttencate opened this issue May 29, 2020 · 3 comments
Open

Creating courses and/or lessons based on habitat type #50

ttencate opened this issue May 29, 2020 · 3 comments
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area:app The app itself area:data Data and processing: audio recordings, photos kind:feature New feature or request ready to be implemented

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@ttencate
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It would be great if you could say something like "I want to learn all forest birds in my area" or "all sea birds in Europe". This could also be implemented as a branching, rather than linear, course structure, similar to what DuoLingo does: after finishing a chapter, you get to pick what you want for the next chapter.

But first we need habitat data for each species. There is some good information on how to do this here in the eBird best practices documentation: https://cornelllabofornithology.github.io/ebird-best-practices/covariates.html They use data from the MODIS satellite instrument, which has 500-meter resolution and is classified into 16 different land cover types. It's a bit involved to download this, but certainly doable.

@ttencate ttencate added kind:feature New feature or request ready to be implemented area:app The app itself area:data Data and processing: audio recordings, photos labels May 29, 2020
@ttencate
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NASA also has an easy to download single PNG, although at 0.1 degrees its resolution is probably a bit limiting: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MCD12C1_T1

@ttencate
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ttencate commented May 30, 2020

Also MODIS data, may be the same, but at 0.05 degrees and there's a direct 1.2 GB download: https://lpdaac.usgs.gov/products/mcd12c1v006/

@ttencate
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ttencate commented Jun 3, 2020

Downloaded the latter; preliminary docs are on the feature/habitats branch. Citation:

Friedl, M., Sulla-Menashe, D. (2015). MCD12C1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2020-06-03 from https://doi.org/10.5067/MODIS/MCD12C1.006

We'll also need to take https://en.wikipedia.org/wiki/Sinusoidal_projection into account on the vertical (latitude) axis.

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