USF-IMARS / obis_notebooks

jupyter notebooks for playing with OBIS data
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DwC archives -> GEE #2

Open 7yl4r opened 2 years ago

7yl4r commented 2 years ago

I have done some work to get DwC archives into google earth engine. One use-case here is to use GEE's built-in species distribution modeling functions.

Below is an example SDM @luislizcano built using seagrass data.

image

He was able to put that together quickly and I think there is a lot of potential there.

I grabbed occurrences of Red Mangroves in the Caribbean from GBIF and was able to import the occurrences.txt into GEE:

image

Next up I want to color points based on a property in the ee.Feature. I found two ways to do that but I haven't got either of them to work for me yet.

In order to put this into an SDM I think we also need to add some absence points, since all these are presence only.

luislizcano commented 2 years ago

Yes, you need another dataset of points representing absence. I would distribute the absence points depending on what the input variables are, e.g. if DEM data is available, mangrove absence points would be placed at very high elevations or inland places.