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Tasseled Cap Transformations #5
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Awesome to see you here, @aazuspan! 🎊 I was thinking. We have a Regarding the design questions:
I'll assign you this Issue then, @aazuspan! If you need something, please let us know! :) 🚀 |
Adding I'm not super familiar with the different levels of Landsat processing, but I did see that the GEE catalog describes the Landsat raw datasets as at-sensor
I'll do a little more research and also see if I can track down coefficients for surface reflectance data :) Thanks @davemlz! |
I found this example in the EE Guide that uses TOA but for L5. But for L8 I'm not sure. I have never used tasseled cap xD I would say that if in the paper they say that they used DN, let's use the RAW values, and if they say that they used Reflectance, let's use the TOA values (unless SR is explicitly mentioned) :) If you find references, it would be nice to add them to the docstrings! 🚀 Here an example: def tasseledCap(x: Union[ee.Image, ee.ImageCollection]) -> Union[ee.Image, ee.ImageCollection]:
"""Computes the Tasseled Cap Transformation [1]_.
Args:
x : Image or Image Collection, etc.
Returns:
Image or Image Collection, etc.
References:
.. [1] `Doe, John. 2021. Tasseled Cap Transformations, etc. <https://link.com/>`_
"""
return None If you have troubles or questions, let us know! :) Thank you, @aazuspan! |
Sounds like a good plan, thanks for looking into it! :) |
See the original feature request on eemont.
This would add an
ee_extra.Transformations
module with atasseledCap
function to calculate tasseled cap brightness, wetness, and greenness bands from an inputee.Image
from the MODIS, Landsat 5/7/8, or Sentinel-2 platforms.A couple design questions:
spectralIndices
) or returned as a newee.Image
?Feel free to assign me, thanks!
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