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.

Methods
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.