🛰️ reflspeckit

⚙️ A modern toolkit for working with any and all flavors of spectral data with a focus on applications for reflectance/emittance imaging spectroscopy

🧠 What is reflspeckit?

reflspeckit is a lightweight, modular Python package designed to make analysis of spectral data cubes simple, flexible, and fun. Whether you're exploring planetary hyperspectral data, performing band analysis, or building your own spectral pipelines — this toolkit’s got you covered.

⚙️ Package Structure

reflspeckit provides two primary classes for the analysis of spectral data plus a third class specialized for large datasets:

• 📄Spec1D - handles 1-dimensional, single spectrum data
• 📒Spec3D - handles 3-dimensional spectral image cubes
• 🗄️StreamingSpec3D - handles large image cubes using a streaming approach

Each class has equivalent methods, which are listed below:

🧰 Available Methods

💡 Spectral Utilities

Various spectral utilities are available through the reflspeckit.utils subpackge.

More utilities coming soon! As a work through my Ph.D., I will add all the various utility functions I write for spectral data processing here!

🚀 Quick Start

pip install reflspeckit

import reflspeckit as rsk
import matplotlib.pyplot as plt

# Loading in a single spectrum
my_spectrum = rsk.Spec1d(spectrum_array, wavelength_array, unit="nm")
my_spectrum.remove_outliers()
myspectrum.noise_reduction(method="box_filter", filter_width=5)
myspectrum.continuum_removal(method="double_line")
print(myspectrum.filtered)  # Contains filtered spectrum

absorption_feature = myspectrum.fit_absorption(800, 1200, unit="nm")
print(absorption_feature.calculate_ibd())  # Returns integrated band depth.

# Loading in a spectral image cube
my_cube = rsk.Spec1d(cube_array, wavelength_array)
my_cube.remove_outliers()
my_cube.noise_reduction(method="box_filter", filter_width=5)
my_cube.continuum_removal(method="double_line")
print(myspectrum.cube)  # Sequentially replaces myspectrum.cube to save memory.

rgb = my_cube.make_m3_rgb()
plt.imshow(rgb)  # Shows RGB color-composite image.

🔗 Links

• GitHub: https://github.com/z-vig/reflspeckit.git
• Docs: (coming soon!)