Deterioration Effects on Bricks Masonry in the Venice Lagoon Cultural Heritage: Study of the Main Façade of the Santa Maria dei Servi Church (14th Century)
By: Chiara Coletti, Ludovica Pia Cesareo, Jacopo Nava, Luigi Germinario, Lara Maritan, Matteo Massironi, Claudio Mazzoli
Abstract
Meanwhile, XRPD and hyperspectral analysis (HA) detected sulfates (e.g., gypsum and mirabilite) as the main weathering products due to the salt decay process that affects monuments in the Venice lagoon environment. Moreover, secondary phases, such as Mg- and Ca-zeolites, occurred in bricks where the groundmass observed by OM was more vitrificated, and the XRPD patterns displayed the highest amorphous content. On-site mapping of sulfates and chlorophyll by HA was also performed on the main façade of the Church, highlighting the large presence of salts and biodeterioration.
Dividend of the Spectrum, Extance, Electro Optics
By: ElectroOptics.com
Abstract
When Dutch researcher Paul Crutzen won the 1995 Nobel Prize in Chemistry for discovering the ozone decay threat, the Netherlands government established a firm policy to study atmospheric gases. This led to the NSO and ESA developing hyperspectral-imaging satellite payloads. Imaging spectroscopy commonly uses gratings to break up the light instruments receive into separate regions of the spectrum and direct them to different detectors. Diffraction gratings are a core technology for Headwall Photonics. David Bannon, the company’s chief executive officer, explains that Headwall is able to make aberration-corrected image sensors using convex diffraction gratings built with precise groove profiles and depths.
Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir
By: Yong Sung Kwon, JongCheol Pyo, Yong-Hwan Kwon, Hongtao Duan, Kyung Hwa Cho, Yongeun Park
Abstract
This study demonstrates that the application of vertical cumulative pigment concentration and subsurface Rrs measurement in bio-optical algorithms can improve their performance in estimating pigments, and that drone-based hyperspectral imagery is an efficient tool for the remote sensing of cyanobacterial pigments over a wide area.
Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance
By: Hammad A Khan, Yukiko Nakamura, Robert T Furbank, John R Evans
Abstract
A growing number of leaf traits can be estimated from hyperspectral reflectance data. These include structural and compositional traits, such as leaf mass per area (LMA) and nitrogen and chlorophyll content, but also physiological traits such a Rubisco carboxylation activity, electron transport rate, and respiration rate.
Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping
By: Mahesh Kumar Tripathi, H. Govil
Abstract
Advancement of airborne hyperspectral remote sensing techniques provides subtle variations to identify minerals and to make distinctions between rock formations. These techniques clearly define barren land versus economically viable zones containing ores and minerals. As we know profitable mineral zones are commonly associated with hydrothermal alteration zones, hyperspectral remote sensing techniques have the capability to identify and distinguish between altered, weathered, and clay minerals.
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon
By: Yongsheng Hong, Long Guo, Songchao Chen, Marc Linderman, Abdul M. Mouazen, Lei Yu, Yiyun Chen, Yaolin Liu, Yanfang Liu, Hang Cheng, Yi Liu
Abstract
Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food production. This study aimed to explore the potential of airborne hyperspectral image to estimate the SOC of bare topsoil at an agricultural site located in the southeast part of Iowa State, United States.
Exposures of olivine-rich rocks in the vicinity of Ares Vallis, Implications for Noachian and Hesperian volcanism
By: J. H. Wilson, J. F. Mustard
Abstract
The igneous evolution of Mars is well represented in stratigraphic settings that transition across major time stratigraphic boundaries. Here we analyze in detail the morphology and composition, determined through visible–near-infrared spectroscopy, of igneous volcanic terrains in Ares Vallis, Mars.
Extending geometallurgy to the mine scale with hyperspectral imaging: a pilot study using drone- and ground-based scanning
By: Isabel F. Barton, Matthew J. Gabriel, John Lyons-Baral, Mark D. Barton, Leon Duplessis, Carson Roberts
Abstract
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or lab-based characterization techniques. In this study, we investigate drone- and tripod-based field hyperspectral imaging as a potential addition to the geometallurgy toolkit in multiple applications.
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range
By: Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein
Abstract
In this study an imaging UV line scanner in the range of 250–430 nm is introduced to investigate crop plants for plant phenotyping. Observing plants in the UV-range can provide information about important changes of plant substances.
First Light Image of the Hyperspectral Imager SUIte (HISUI)
By: Japan Space Systems
Abstract
Jointly developed by the Ministry of Economy, Trade and Industry (METI) and the Japan Space Systems, the Hyperspectral Imager SUIte (HISUI) was launched from the US Cape Canaveral Air Force Base toward the International Space Station (ISS) on December 6, 2019 (Japan time). On the 12th of December, HISUI was successfully installed to the Kibo’s Exposed Facility and is currently undergoing an initial checkout.