Hydrothermal Alt of Ocean Crust and Patterns in Mineralization w Depth as Meas by Micro-Imaging IR Spectroscopy
By: Rebecca N. Greenberger, Michelle Harris, Bethany L. Ehlmann, Molly A. Crotteau, Peter B. Kelemen, Craig E. Manning, Damon A. H. Teagle, the Oman Drilling Project Science Team
Abstract
Imaging spectroscopy efficiently and effectively mapped spatial patterns in hydrothermal alteration mineral occurrence in ocean crust core
Samail ophiolite upper ocean crust cores are dominated by chlorite, amphibole, and epidote, while deeper cores have more zeolite/prehnite
Hydrothermal alteration largely decreases with depth in the ocean crust but is locally intense in major fault zones, even in lower crust
Hydrothermal alteration and diagenesis of terrestrial lacustrine pillow basalts: Coordination of hyperspectral imaging with laboratory measurements
By: Rebecca N. Greenberger, John F. Mustard, Edward A. Cloutis, Paul Mann, Janette H. Wilson, Roberta L. Flemming, Kevin M. Robertson, Mark R. Salvatore, Christopher S. Edwards
Abstract
We investigate an outcrop of ∼187 Ma lacustrine pillow basalts of the Talcott Formation exposed in Meriden, Connecticut, USA, focusing on coordinated analyses of one pillow lava to characterize the aqueous history of these basalts in the Hartford Basin. This work uses a suite of multidisciplinary measurements, including hyperspectral imaging, other spectroscopic techniques, and chemical and mineralogical analyses, from the microscopic scale up to the scale of an outcrop.
Hyperspectral Image Applied to Determine Quality Parameters in Leafy Vegetables
By: Miguel Angel Lara Blas
Abstract
Hyperspectral imaging system integrates both spectroscopic and imaging techniques into one system that can acquire a spatial map of spectral variation of the current sample. It has been widely studied and developed as a potential tool for non-destructive analysis and assessment for food quality and safety, resulting in many successful applications.
Hyperspectral Imagery, The Drone vs the NEON Airborne Observation Platform
By: J. Adler, T. Goulden, J. McGlinchy, D. Hulslander
Abstract
The National Science Foundation’s (NSF) NEON Program (National Ecological Observatory Network) has been collecting hyperspectral (380-2500nm) data over the last six years using the next generation AVIRIS (Airborne Visible InfraRed Imaging Spectrometer) imager from JPL (Jet Propulsion Laboratory). These 1m spatial resolution sensors are flown on Twin Otter aircraft (crew of 4) to provide orthorectified surface directional reflectance, at-sensor radiance, fPAR (fraction of Photosynthetically Active Radiation, LAI (Leaf Area Index), and other indices.
Hyperspectral Imaging & Analysis of Hydrothermal Alteration Mineralogy in Cuprite, Nevada
By: Carson B. Roberts Ph.D., Isabel Barton Ph.D., Jingping He
Abstract
Low altitude (40-80m AGL) UAV Flights were conducted over the Cuprite Hills region of Nevada, USA, with a sensor payload including LiDAR, Short Wave Infrared (900-2500nm) and Visible Near Infrared (400-1000nm) Hyperspectral sensors. The LiDAR data were used to build 3D and Digital Elevation Models of the surveyed terrain, which were in turn used to orthorectify the data from the line scan imagers.
Hyperspectral Imaging Applications in Animal and Dairy Sector
By: Abhinav Kumar, Sonal Saxena2, Sameer Shrivastava, Vandana Bharti, Upendra Kumar, Kuldeep Dhama
Abstract
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target. Thus it is useful for various scientific and industrial applications, including food safety and disease diagnosis.
Hyperspectral imaging as a tool for assessing coral health utilising natural fluorescence
By: Jonathan Teague, Jack Willans, Michael J. Allen, Thomas B. Scott, John C.C. Day
Abstract
Coral communities exhibit a natural fluorescence which can be used to distinguish between diseased and healthy specimens, however, current methods, such as the underwater visual census, are expensive and time-consuming constituting many manned dive hours. We propose the use of a remotely operated vehicle mounted with a novel hyperspectral fluorescence imaging (HyFI) “payload” for more rapid surveying and data collection.
Hyperspectral Imaging Assesses the Sweetness of Oranges
By: Christian Felsheim
Abstract
Headwall conducted a study using a Hyperspec MV.X hyperspectral imaging system to rapidly collect spectral data from whole oranges and process it in real time. Algorithms developed by the company predicted the degrees Brix values, which were delivered immediately. This helped to speed up receiving operations, optimize decision-making, and deliver significant return on investment for orange packing and processing facilities.
Hyperspectral Imaging Based Corrosion Detection in Nuclear Packages
By: Jaime Zabalza, Paul Murray, Stuart Bennett, Andrew Campbell, Stephen Marshall, Jinchang Ren, Yijun Yan, Robert Bernard, Steve Hepworth, Simon Malone, Neil Cockbain, Douglas Offin, and Craig Holliday
Abstract
Storage packages for nuclear material are susceptible to corrosion, which can potentially undermine their structural integrity. Therefore, long-term monitoring is required. In this work, hyperspectral imaging (HSI) was evaluated as a nondestructive tool for detecting corrosion on stainless steel surfaces.
Hyperspectral Imaging for Cannabis Monitoring With Both Spatial & Spectral Information
By: John Margeson, Lynn Chandler Ph.D.
Abstract
Hyperspectral imaging is poised to make a significant impact on the cannabis industry because of its ability to simultaneously utilize the value of both spatial and spectral information. Current cannabis testing methods rely on spot sampling and do not capture enough data to measure the variability within a sample. Hyperspectral imaging is non-destructive and enables real-time test results, allowing rapid and complete product testing without the need to remove samples from product and prepare those samples for testing. Applications include determining cannabinoid concentration, moisture content testing, mold detection and monitoring, improved foreign-object detection in cultivation, enhanced testing for regulatory and law-enforcement reasons, and monitoring cannabis plant growth.
