Baschetti, Beatrice and Costa, Nicole
(2025)
Python Scripts for absorption band characterization.
[Data Collection]
Available Versions of this Item
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Python Scripts for absorption band characterization. (deposited 31 Jul 2025 10:56)
[Currently Displayed]
Collection description
This database contains the Python scripts to calculate spectral indexes. For the visible-near infrared range, we measure the slope of the absorption band shoulders, while for the short-wave infrared range, we measure:
- band area
- band depth
- band centre
- full width half maximum
| DOI: |
10.25430/researchdata.cab.unipd.it.00001613 |
| Keywords: |
python, spectral indexes, VNIR-SWIR |
| Subjects: |
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Algorithms, distributed, parallel and network algorithms, algorithmic game theory Physical:Sciences and Engineering > Universe Sciences: Astro-physics/chemistry/biology; solar system; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation > Space Sciences Physical:Sciences and Engineering > Universe Sciences: Astro-physics/chemistry/biology; solar system; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation > Instrumentation - telescopes, detectors and techniques |
| Department: |
Departments > Dipartimento di Geoscienze |
| Depositing User: |
Nicole Costa
|
| Date Deposited: |
31 Jul 2025 10:56 |
| Last Modified: |
31 Jul 2025 10:56 |
| Creators/Authors: |
|
| Type of data: |
Code |
| Collection period: |
|
| Resource language: |
English |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Date: |
29 July 2025 |
| Copyright holders: |
The Author |
| URI: |
https://researchdata.cab.unipd.it/id/eprint/1613 |
| Creators/Authors: |
|
| Type of data: |
Code |
| Collection period: |
|
| Resource language: |
English |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Date: |
29 July 2025 |
| Copyright holders: |
The Author |
| Last Modified: |
31 Jul 2025 10:56 |
|