NEW INDEX: NDMI

[Ben Purinton]

Please, complete the following information:

NDMI=SpectralIndex(
    short_name='NDMI',
    long_name='Normalized Difference Moisture Index ',
    formula='(N - S1)/(N + S1)',
    reference='https://doi.org/10.1016/S0034-4257(01)00318-2',
    type='vegetation',
    date_of_addition='2021-12-01',
    contributor="https://github.com/bpurinton"
)

Example:

SeLI=SpectralIndex(
    short_name='SeLI',
    long_name='Sentinel-2 LAI Green Index',
    formula='(RE4 - RE1) / (RE4 + RE1)',
    reference='https://doi.org/10.3390/s19040904',
    type='vegetation',
    date_of_addition='2021-04-08',
    contributor="https://github.com/davemlz"
)

This is a common index that is also listed on the Landsat pages: https://www.usgs.gov/core-science-systems/nli/landsat/normalized-difference-moisture-index

[David Montero Loaiza]

Hi, @bpurinton! Thank you very much for your contribution to awesome-spectral-indices! 🚀

I have added the new index to the list and you can check it here or in the README.

The index will be available for the spectral module once the new version is released, and it can be used now with eemont (spectralIndices()) and spyndex (computeIndex()) by setting the argument online=True.

Cheers!

[Ben Purinton]

Thanks for a great resource. Really useful for teaching purposes (and research!).