@article{MilewskiChabrillatBrelletal.2019,
  author    = {Milewski, Robert and Chabrillat, Sabine and Brell, Maximillian and Schleicher, Anja Maria and Guanter, Luis},
  title     = {Assessment of the 1.75μm absorption feature for gypsum estimation using laboratory, air- and spaceborne hyperspectral sensors},
  series = {International Journal of Applied Earth Observation and Geoinformation},
  volume    = {77},
  journal   = {International Journal of Applied Earth Observation and Geoinformation},
  publisher = {Elsevier Science},
  address   = {Amsterdam [u.a.]},
  issn      = {0303-2434},
  doi       = {10.1016/j.jag.2018.12.012},
  pages     = {69 -- 83},
  year      = {2019},
  abstract  = {High spectral resolution (hyperspectral) remote sensing has already demonstrated its capabilities for soil constituent mapping based on absorption feature parameters. This paper tests different parametrizations of the 1.75 μm gypsum feature for the determination of gypsum abundances, from the laboratory to remote sensing applications of recent as well as upcoming hyperspectral sensors. In particular, this study focuses on remote sensing imagery over the large body of the Omongwa pan located in the Namibian Kalahari. Four common absorption feature parameters are compared: band ratio through the introduction of the Normalized Differenced Gypsum Index (NDGI), the shape-based parameters Slope, and Half-Area, and the Continuum Removed Absorption Depth (CRAD). On laboratory soil samples from the pan, CRAD and NDGI approaches perform best to determine gypsum content tested in cross validated regression models with XRD mineralogical data (R² = 0.84 for NDGI and R² = 0.86 for CRAD). Subsequently the laboratory prediction functions are transferred to remote sensing imagery of spaceborne Hyperion, airborne HySpex and simulated spaceborne EnMAP sensor. Variable results were obtained depending on sensor characteristics, data quality, preprocessing and spectral parameters. Overall, the CRAD parameter in this wavelength region proved not to be robust for remote sensing applications, and the simple band ratio based parameter, the NDGI, proved robust and is recommended for future use for the determination of gypsum content in bare soils based on remote sensing hyperspectral imagery.},
  language  = {en}
}