vegspec: A compilation of spectral vegetation indices and transformations in Python

The vegspec software package is a Python-based compilation of 1) more than 145 spectral vegetation indices from refereed literature over the past half century and 2) algorithms for several common spectral transformations, including first and second derivatives of reflectance, the logarithm of invers...

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Main Author: Kelly R. Thorp
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235271102400298X
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author Kelly R. Thorp
author_facet Kelly R. Thorp
author_sort Kelly R. Thorp
collection DOAJ
description The vegspec software package is a Python-based compilation of 1) more than 145 spectral vegetation indices from refereed literature over the past half century and 2) algorithms for several common spectral transformations, including first and second derivatives of reflectance, the logarithm of inverse reflectance and its derivatives, and continuum removal. The software was developed to support analyses of spectral reflectance data from field spectroradiometers and hyperspectral imagers. The outputs are useful for data mining or machine learning studies that relate plant biophysical variables (e.g., leaf chlorophyll content) with vegetative spectral properties.
format Article
id doaj-art-63c577b416e24d7c9731e96dad13abc0
institution OA Journals
issn 2352-7110
language English
publishDate 2024-12-01
publisher Elsevier
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spelling doaj-art-63c577b416e24d7c9731e96dad13abc02025-08-20T02:06:57ZengElsevierSoftwareX2352-71102024-12-012810192810.1016/j.softx.2024.101928vegspec: A compilation of spectral vegetation indices and transformations in PythonKelly R. Thorp0USDA-ARS, Grassland, Soil, and Water Research Laboratory, 808 E Blackland Rd, Temple, TX 76502, United States; USDA-ARS, U.S. Arid Land Agricultural Research Center, 21881 N Cardon Ln, Maricopa, AZ 85138, United StatesThe vegspec software package is a Python-based compilation of 1) more than 145 spectral vegetation indices from refereed literature over the past half century and 2) algorithms for several common spectral transformations, including first and second derivatives of reflectance, the logarithm of inverse reflectance and its derivatives, and continuum removal. The software was developed to support analyses of spectral reflectance data from field spectroradiometers and hyperspectral imagers. The outputs are useful for data mining or machine learning studies that relate plant biophysical variables (e.g., leaf chlorophyll content) with vegetative spectral properties.http://www.sciencedirect.com/science/article/pii/S235271102400298XHyperspectralIndexReflectanceRemote sensingSpectroradiometerVegetation
spellingShingle Kelly R. Thorp
vegspec: A compilation of spectral vegetation indices and transformations in Python
SoftwareX
Hyperspectral
Index
Reflectance
Remote sensing
Spectroradiometer
Vegetation
title vegspec: A compilation of spectral vegetation indices and transformations in Python
title_full vegspec: A compilation of spectral vegetation indices and transformations in Python
title_fullStr vegspec: A compilation of spectral vegetation indices and transformations in Python
title_full_unstemmed vegspec: A compilation of spectral vegetation indices and transformations in Python
title_short vegspec: A compilation of spectral vegetation indices and transformations in Python
title_sort vegspec a compilation of spectral vegetation indices and transformations in python
topic Hyperspectral
Index
Reflectance
Remote sensing
Spectroradiometer
Vegetation
url http://www.sciencedirect.com/science/article/pii/S235271102400298X
work_keys_str_mv AT kellyrthorp vegspecacompilationofspectralvegetationindicesandtransformationsinpython