HyPyRameter Test Data

Dataset used to produce figures and results in the HyPyRameter publication. These files are in ENVI .img format with associated metadata in the .hdr files. These file can be directly passed to the HyPyRameter cubeParamCalculator. Below is a table describing each file and its processing.

Image Name
Description

TN_cropped_swir_image.img
Tripod-based HySpex VS 620 spectral image cube from a roadcut on TN52 near Knoxville, TN. These data include the shortwavelength infrared (SWIR) bands, ranging from 970.0 nm – 2500.0 nm. Data were processed through proprietary software provided by Norsk Elektro Optikk (NEO) to radiance on sensor, and further processed to reflectance through an empirical line correction in IDL/ENVI.

vnir_cropped_namafjall.img
Drone-based HySpex spectral image cube from a fumarolic system near Namafjall, Iceland. These data include the visible to near-infrared (VNIR) wavelength bands, ranging from 403.7 nm – 983.3 nm. Data were processed through proprietary software provided by Norsk Elektro Optikk (NEO) to radiance on sensor, and further processed to reflectance through an empirical line correction in IDL/ENVI.

Namafjall_Drone_Scene_Inverse_MNF.img
Drone-based HySpex spectral image cube from a fumarolic system near Namafjall, Iceland. These data include SWIR wavelength bands, ranging from 970.0 nm – 2500.0 nm. Data were processed through proprietary software provided by Norsk Elektro Optikk (NEO) to radiance on sensor, and further processed to reflectance through an empirical line correction in IDL/ENVI. An additional noise removal step was performed via an inverse minimum noise fraction transformation (forward MNF was applied, noise bands were removed, then an inverse transform using only non-noise bands was performed).

EMIT_L2A_RFL_001_20230329T145406_2308809_052_reflectance_cropped.img
Satellite based EMIT (Earth Surface Mineral Dust Source Investigation) spectral image cube, covering the wavelength range 381.0 nm – 2492.9 nm. L2A surface reflectance data were processed by the EMIT team, downloaded from their data repository, and converted to ENVI .img format in python.