Laboratory-based hyperspectral visible near-infrared reflectance spectral dataset of soil samples across a range of surface orientations

A custom-designed, 3-D printed sample array was used to present 681 homogenized soil samples packed into sample wells to a laboratory-based visible near-infrared (VNIR) hyperspectral imaging (HSI) reflectance spectrometer in a total of 91 different configurations of slope and aspect. Hyperspectral imaging was performed with a high-sensitivity sCMOS VNIR hyperspectral camera (MSV 500, Middleton Spectral Vision, Middleton, WI). Raw reflectance data were collected with FastFrame data acquisition software (Middleton Spectral Vision, Middleton, WI). After data were collected using FastFrame, data processing and analysis were performed in R using the R Scripts found on GitHub at github.com/aduro005/HSITopographicCorrectionRScripts. The design for this sample array can be found on GitHub at github.com/aduro005/HSITopographicCorrectionSampleWellArray., Hyperspectral imaging (HSI) was performed with a high-sensitivity sCMOS VNIR hyperspectral camera (MSV 500, Middleton Spectral Vision, Middleton, WI). A custom-designed, 3-D printed sample array was used to present homogenized soil samples packed into sample wells to a laboratory-based HSI reflectance spectrometer at 91 configurations of slope and aspect. Pixels representing each soil sample's reflectance spectra were isolated from hyperspectral images and averaged to obtain a single reflectance spectrum for each slope and aspect configuration per soil sample., Raw data were collected with FastFrame data acquisition software (Middleton Spectral Vision, Middleton, WI). Data processing and analysis were performed in R using the R Scripts found on GitHub at github.com/aduro005/HSITopographicCorrectionRScripts., # Laboratory-based hyperspectral visible near-infrared reflectance spectral dataset of soil samples across a range of surface orientations

This README file was generated on 03/02/2024 by Alyssa Duro

This README file describes the R scripts available on GitHub at[ https://github.com/aduro005/HSITopographicCorrectionRscripts](https://github.com/aduro005/HSITopographicCorrectionRScripts) and the .RData files (available on Dryad Data Repository UCR at [https://doi.org/10.6086/D15091](https://doi.org/10.6086/D15091). These R scripts and .RData files are associated with the HSI topographic correction method described in the article titled *Topographic correction of visible near-infrared reflectance spectra for horizon-scale soil organic carbon mapping* available at[ https://doi.org/10.1002/saj2.20612](https://doi.org/10.1002/saj2.20612).

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\# Some notes on this dataset:

This project began with the intention of calibrating several empirical regression equations to predict soil...