MoonIndex 2.0.3

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MoonIndex

MoonIndex is a Python library that creates spectral indexes from the Moon Mineralogy Mapper (M³). The majority of indexes were collected from the literature, some were formulated in this work. The tool uses map-projected hyperspectral cubes and common Python libraries to generate the indexes. The general process of the tool consists of: preparation, filtration, continuum removal, and creation of the indexes (Tested on Python 3.11).

Requirements

To use the package you first need map-projected (M³) cubes. This can be achieved using the USGS Integrated Software for Imagers and Spectrometers (ISIS), see https://github.com/DOI-USGS/ISIS3. The file Wavelengths.txt is also needed during the process. Moonindex requires Python 3.10 or higher.

Installation

The installation can be done via PyPI using pip:

pip install MoonIndex

Or after downloading the MoonIndex-2.0.3.tar.gz file under dist:

pip install MoonIndex-2.0.3.tar.gz

Example

The notebooks under scripts details the workflow followed to obtain the indexes. We recommend slicing the cubes before creating the indexes since the process is intensive. The sample cube used in these notebook can be found at: https://zenodo.org/records/10810407

Straighforward processing

First import the cube and the Wavelegnths.txt file using rioxarray and numpy:

input_cube=rioxarray.open_rasterio('input_cube.tiff')
wavelengths=numpy.loadtxt('Wavelength.txt', delimiter=",") wavelengths=(wavelengths).astype(numpy.float32)

Then a function to prepare the data:

M3_cube=MoonIndex.preparation.attach_wave(input_cube,wavelengths)

If you desire to crop the cube, you can use:

M3_cube=MoonIndex.preparation.crop_cube(M3_cube,x1,y1,x2,y2) Where x and y are the coordinates in the reference system of your cube.

And then, to create the indexes:

M3_full_CH=MoonIndex.indexes.indexes_total_CH(M3_cube,wavelengths) With the convex hull continuum-removal method.

Or:

M3_full_SAFO=MoonIndex.indexes.indexes_total_SAFO(M3_cube,wavelengths,2,1) With the second-and-first-order fit continuum removal method (the last two variables are the polynomial order for the fit around the 1000 and 2000 nm bands).

List of indexes

Index Name	Abrev. Name	Product type	Source
Reflectance at 540 nm	R540	Parameter	Adams and McCord (1971)
Band center at 1 µm	BCI	Parameter	Adams (1974)
Band center at 2 µm	BCII	Parameter	Adams (1974)
Band depth at 1 µm	BDI	Parameter	Adams (1974)
Band deepth at 2 µm	BDII	Parameter	Adams (1974)
Spectral slope at 1 µm	SS	Parameter	Hazen et al. (1978)
Clementine-like red channel	Clem RED	Parameter	Lucey et al. (2000)
Clementine-like green channel	Clem GREEN	Parameter	Lucey et al. (2000)
Clementine-like blue channel	Clem BLUE	Parameter	Lucey et al. (2000)
Band depth at 1.9 µm	BD1900	Parameter	Bretzfelder et al. (2020)
Integrated band depth at 1 µm	IBDI	Parameter	Bretzfelder et al. (2020)
Integrated band depth at 2 µm	IBDII	Parameter	Bretzfelder et al. (2020)
Band area at 1 µm	BAI	Parameter	Cloutis et al. (1986)
Band area at 2 µm	BAII	Parameter	This papper
Band asymmetry at 1 µm	ASYI	Parameter	Cloutis et al. (1986)
Band asymmetry at 2 µm	ASYII	Parameter	This papper
Olivine parameter	Ol	Parameter	Corley et al. (2018)
Spinel ratio	Sp1	Parameter	Pieters et al. (2014)
Spinel ratio	Sp2	Parameter	Moriarty III et al. (2022)
Pyroxene ratio	Px	Parameter	Pieters et al. (2014)
Pure anorthosite ratio	An	Parameter	Pieters et al. (2014)
Band depth at 950 nm	BD950	Parameter	Besse et al. (2011)
Band depth at 1.05 µm	BD1050	Parameter	Besse et al. (2011)
Band depth at 1.25 µm	BD1250	Parameter	Besse et al. (2011)
Reflectance at 1.58 µm	R1580	Parameter	Besse et al. (2011)
Iron oxide parameter	Fe	Parameter	Wu et al. (2012)
Titanium parameter	Ti	Parameter	Wu et al. (2012)
Chromite parameter	Cr	Parameter	This paper
RGB Clementine-like color composite	Clem	RGB composite	Lucey et al,( 2000)
Color composite 1	RGB 1	RGB composite	Zambon et al. (2020)
Color composite 2	RGB 2	RGB composite	Zambon et al. (2020)
Color composite 2	RGB 3	RGB composite	Zambon et al. (2020)
Color composite of band area	RGB4	RGB composite	Horgan et al. (2014)
Color composite of band asymmetry	RGB5	RGB composite	Horgan et al. (2014)
Color composite 6	RGB6	RGB composite	Besse et al. (2011)
Color composite 7	RGB7	RGB composite	Besse et al. (2011)
Near infrarred color composite	RGB8	RGB composite	Bretzfelder et al. (2020)
Color composite of spinel	Spanpx	RGB composite	Moriarty III et al. (2022)