High-resolution airborne hyperspectral and thermal imagery for early detection of Verticilliumwilt of olive using fluorescence, temperature and narrow-band spectral indices
By: R. Calderón, J.A. Navas-Cortés, C. Lucena, P.J. Zarco-Tejada
Abstract
The present study explored the use of high-resolution thermal imagery, chlorophyll fluorescence, structural and physiological indices (xanthophyll, chlorophyll a + b, carotenoids and blue/green/red B/G/R indices) calculated from multispectral and hyperspectral imagery as early indicators of water stress caused by Verticillium wilt infection and severity. The study was conducted in two olive orchards naturally infected with V.
HISUI Status Toward FY2019 Launch and Collaboration with Other Missions
By: Tsuneo Matsunaga, Akira Iwasaki, Satoshi Tsuchida, Koki Iwao, Jun Tanii, Osamu Kashimura, Ryosuke Nakamura, Hirokazu Yamamoto, Soushi Kato, Kenta Obata, Koichiro Mouri, Satoru Yamamoto, Tetsushi Tachikawa
Abstract
HISUI (Hyperspectral Imager SUIte) is a spaceborne hyperspectral imager being developed by Japanese Ministry of Economy, Trade, and Industry (METI) as its 4thspaceborne optical imager mission.
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.
