https://github.com/tgoelles/specarray

Analyse hyperspectral data from SPECIM devices
https://github.com/tgoelles/specarray

hyperspectral hyperspectral-analysis hyperspectral-data specim specim-fx10

Last synced: 10 months ago
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Analyse hyperspectral data from SPECIM devices

• Host: GitHub
• URL: https://github.com/tgoelles/specarray
• Owner: tgoelles
• License: mit
• Created: 2023-09-01T09:42:36.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-03-03T13:25:09.000Z (over 1 year ago)
• Last Synced: 2025-07-18T06:25:27.791Z (11 months ago)
• Topics: hyperspectral, hyperspectral-analysis, hyperspectral-data, specim, specim-fx10
• Language: Python
• Homepage: https://tgoelles.github.io/specarray/
• Size: 8.8 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • Changelog: Changelog.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Support: SUPPORT.md

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# SPECARRAY

To read, analyze and plot hyperspectral data from Specim devices. Currently only tested with FX10 data.

## Core features

* read Specim instrument data 

* support for large files thanks to dask

* using xarray for data handling and data analysis

* computation of spectral albedo and braodband albedo if white and dark reference is available

## Installation

```bash

pip install specarray

```

## Usage

```python

from specarray import SpecArray

from pathlib import Path

import matplotlib.pyplot as plt

data_dir = Path("data/white_weathering_crust_2_2023-07-15_15-25-24/")

white_weathering_crust = SpecArray.from_folder(data_dir)

white_weathering_crust.capture

white_weathering_crust.spectral_albedo.sel(sample=0, point=0).plot.line()

plt.ylim(0, 1)

```

The resulting imgage should look like this:

![Spectrum](https://github.com/tgoelles/specarray/blob/main/images/output.png?raw=true)

For more examples see the [notebooks](https://github.com/tgoelles/specarray/tree/main/notebooks) folder.