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.
Evaluation of Canopy Growth in Rainfed Olive Hedgerows Using UAV-LiDAR
By: Susana Cantón-Martínez, Francisco Javier Mesas-Carrascosa, Raúl de la Rosa, Francisca López-Granados, Lorenzo León, Fernando Pérez-Porras, Francisco C. Páez, and Jorge Torres-Sánchez
Hedgerow cultivation systems have revolutionized olive growing. Because traditional canopy measurements are costly in terms of time and effort, the use of light detection and ranging (LiDAR) sensor onboard an uncrewed aerial vehicle (UAV) was tested.
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.
Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
By: P.J. Zarco-Tejada, V. González-Dugo, J.A.J. Berni
Abstract
The remote detection of water stress in a citrus orchard was investigated using leaf-level measurements of chlorophyll fluorescence and Photochemical Reflectance Index (PRI) data, seasonal time-series of crown temperature and PRI, and high-resolution airborne imagery. The work was conducted in an orchard where a regulated deficit irrigation (RDI) experiment generated a gradient in water stress levels.
Foreign Intelligence, Can Imaging Tech Make Production-Line Pollution a Thing of the Past?
By: Treena Hein
Abstract
Recalls obviously cost money and waste resources, and also negatively affect the reputation of companies and even entire sectors of food production. However, a cutting-edge scanning technology being used in many industries is helping to reduce recalls related to foreign materials. It’s known as hyperspectral imaging. Sensors detect bands across the visual and non-visual electromagnetic spectrum and the unique electromagnetic “fingerprint” of any material (meat, bone, plastic, metal) can be determined, making it easy to detect any foreign objects.
Heap leach pad mapping with drone-based hyperspectral remote sensing at the Safford Copper Mine
By: Jingping He, Leon DuPlessis, Isabel Barton
Abstract
Mapping the distribution of minerals, pipes, ponded lixiviant, and other surficial features on heap leach pads is a continuing challenge for hydrometallurgy operations, maintenance, and design. Recently, commercial drone technology has enabled remote sensing techniques to be deployed for some leach pad mapping and surveying applications, but applications to hydrometallurgical operations are still emerging. This project tested one potential mapping technology, drone-based hyperspectral remote sensing, for mapping leach pads, using the Safford mine as a test site.
