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Hyperspectral (VNIR-SWIR) analysis of roll front uranium host rocks and industrial minerals from Karnes and Live Oak Counties, Texas Coastal Plain

VNIR-SWIR (400–2500 nm) reflectance measurements were made on the surfaces of various cores, cuttings and sample splits of sedimentary rocks from the Tertiary Jackson Group, and Catahoula, Oakville and Goliad Formations. These rocks vary in composition and texture from mudstone and claystone to sandstone and are known host rocks for roll front uranium occurrences in Karnes and Live Oak Counties, T

Bernard E. Hubbard, Tanya J. Gallegos, Victoria G. Stengel, Todd M. Hoefen, Raymond F. Kokaly, Brent Elliott

The EnMAP imaging spectroscopy mission towards operations

EnMAP (Environmental Mapping and Analysis Program) is a high-resolution imaging spectroscopy remote sensing mission that was successfully launched on April 1st, 2022. Equipped with a prism-based dual-spectrometer, EnMAP performs observations in the spectral range between 418.2 nm and 2445.5 nm with 224 bands and a high radiometric and spectral accuracy and stability. EnMAP products, with a ground
Tobias Storch, Hans-Peter Honold, Sabine Chabrillat, Martin Habermeyer, Paul Tucker, Maximilian Brell, Andreas Ohndorf, Katrin Wirth, Matthias Betz, Michael Kuchler, Helmut Mühle, Emiliano Carmona, Simon Baur, Martin Mücke, Sebastian Löw, Daniel Schulze, Steffen Zimmermann, Christoph Lenzen, Sebastian Wiesner, Saika Aida, Ralph Kahle, Peter Willburger, Sebastian Hartung, Daniele Dietrich, Nicolae Plesia, Mirco Tegler, Katharina Schork, Kevin Alonso, David B. Marshall, Birgit Gerasch, Peter Schwind, Miguel Pato, Mathias Schneider, Raquel de los Reyes, Maximilian Langheinrich, Julian Wenzel, Martin Bachmann, Stefanie Holzwarth, Nicole Pinnel, Luis Guanter, Karl Segl, Daniel Scheffler, Saskia Foerster, Niklas Bohn, Astrid Bracher, Mariana Soppa, Ferran Gascon, Robert O. Green, Raymond F. Kokaly, Jose M. Moreno, Cindy Ong, Manuela Sornig, Ricarda Wernitz, Klaus Bagschik, Detlef Reintsema, Laura La Porta, Anke Schickling, Sebastian Fischer

Hyperspectral remote sensing of white mica: A review of imaging and point-based spectrometer studies for mineral resources, with spectrometer design considerations

Over the past ~30 years, hyperspectral remote sensing of chemical variations in white mica have proven to be useful for ore deposit studies in a range of deposit types. To better understand mineral deposits and to guide spectrometer design, this contribution reviews relevant papers from the fields of remote sensing, spectroscopy, and geology that have utilized spectral changes caused by chemical v
John Michael Meyer, Elizabeth A. Holley, Raymond F. Kokaly

Multiscale hyperspectral imaging of hydrothermal alteration in Yellowstone National Park, USA

Imaging spectroscopy (hyperspectral imaging) data have mainly been used to map surface materials covering relatively small areas from airborne sensors over the past 20+ years. As part of the U.S. Geological Survey Integrated hyperspectral, geophysical and geochemical studies of Yellowstone National Park hydrothermal systems project, we have collected multiscale imaging spectrometer data including
Todd M. Hoefen, Raymond F. Kokaly, Keith Eric Livo, John Michael Meyer, JoAnn Holloway

Mineral Mapping of the Battle Mountain District, Nevada, USA, Using AVIRIS-Classic and SpecTIR Inc. AisaFENIX 1K Imaging Spectrometer Datasets

Imaging spectroscopy (hyperspectral imaging) has been used to successfully map minerals at the outcrop, deposit, district, and regional scale. This contribution presents spectral-based mineral maps of the Battle Mountain mining district, Nevada, USA, generated using multi-scale airborne imaging and ground-based point spectrometers. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and AisaFE
John Michael Meyer, Elizabeth A. Holley, Raymond F. Kokaly, Gregg A. Swayze, Todd M. Hoefen

Quantifying uncertainty for remote spectroscopy of surface composition

Remote surface measurements by imaging spectrometers play an important role in planetary and Earth science. To make these measurements, investigators calibrate instrument data to absolute units, invert physical models to estimate atmospheric effects, and then determine surface properties from the spectral reflectance. This study quantifies the uncertainty in this process. Global missions demand pr
David R. Thompson, Amy Braverman, Philip Brodrick, Alberto Candela, Nimrod Carmon, Roger N. Clark, David Connelly, Robert O. Green, Raymond F. Kokaly, Longlei Li, Natalie Mahowald, Ronald L. Miller, Gregory S. Okin, Thomas H. Painter, Gregg A. Swayze, Michael Turmon, Jouni Susilouto, David Wettergreen

Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects

Light-absorbing particles in atmospheric dust deposited on snow cover (dust-on-snow, DOS) diminish albedo and accelerate the timing and rate of snow melt. Identification of these particles and their effects are relevant to snow-radiation modeling and thus water-resource management. Laboratory-measured reflectance of DOS samples from the San Juan Mountains (USA) were compared with DOS mass loading,
Richard L. Reynolds, Harland L. Goldstein, Bruce M. Moskowitz, Raymond F. Kokaly, Seth M. Munson, Peat Solheid, George N. Breit, Corey R. Lawrence, Jeff Derry

Classification of oil spill by thicknesses using multiple remote sensors

Satellite Synthetic Aperture Radar (SAR) is an operational tool for monitoring and assessment of oil spills. Satellite SAR has primarily been used to detect the presence/absence of oil, yet its ability to discriminate oil emulsions within a detected oil slick has not been fully exploited. Additionally, one of the challenges in the past has been the ability to deliver strategic information derived
Oscar Garcia-Pineda, Gordon Staples, Cathleen E Jones, Chuanmin Hu, Benjamin Holt, Villy Kourafalou, George Graettinger, Lisa DiPinto, Ellen Ramirez, David Street, Jay Cho, Gregg A. Swayze, Shaojie Sun, Diana Garcia, Francisco Haces-Garcia

Comparison of methods for modeling fractional cover using simulated satellite hyperspectral imager spectra

Remotely sensed data can be used to model the fractional cover of green vegetation (GV), non-photosynthetic vegetation (NPV), and soil in natural and agricultural ecosystems. NPV and soil cover are difficult to estimate accurately since absorption by lignin, cellulose, and other organic molecules cannot be resolved by broadband multispectral data. A new generation of satellite hyperspectral imager
Philip E. Dennison, Yi Qi, Susan K. Meerdink, Raymond F. Kokaly, David R. Thompson, Craig S.T. Daughtry, Miguel Quemada, Dar A. Roberts, Paul Gader, Erin Wetherley, Izaya Numata, Keely L. Roth

Imaging spectroscopy for the detection, assessment and monitoring of natural and anthropogenic hazards

Natural and anthropogenic hazards have the potential to impact all aspects of society including its economy and the environment. Diagnostic data to inform decision-making are critical for hazard management whether for emergency response, routine monitoring or assessments of potential risks. Imaging spectroscopy (IS) has unique contributions to make via the ability to provide some key quantitative
Cindy Ong, Véronique Carrere, Sabine Chabrillat, Roger N. Clark, Todd M. Hoefen, Raymond F. Kokaly, Rodolphe Marion, Carlos Roberto de Souza Filho, Gregg A. Swayze, David R. Thompson

Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe

Isotopic ratios have long been used to learn about physical processes acting over a wide range of geological environments, and in constraining the origin and/or evolution of planetary bodies. We report the spectroscopic detection of deuterium in Saturn's rings and satellites, and use these measurements to determine the (D/H) ratios in their near-surface regions. Saturn's moons, Phoebe and Iapetus,
Roger N. Clark, Robert H. Brown, D.P. Cruikshank, Gregg A. Swayze

Characteristics of tropical tree species in hyperspectral and multispectral data

Remote sensing has been hailed as a promising technology to provide spatially explicit information on tree species distribution. Such information is of high value for ecologists and forest managers, particularly in tropical environments in which it is acquired by costly field inventories performed at the plot level (∼1 ha). Over the last decade, hyperspectral sensors, usually on board airborne pla
Matheus Pinheiro Ferreira, Cibele Hummel do Amaral, Gaia Vaglio Laurin, Raymond F. Kokaly, Carlos Roberto de Souza Filho, Yosio Edemir Shimabukuro