Coordinating high-resolution hyperspectral and RGB video acquisition of dynamic natural water scenes
By: Chris H. Lee, Charles M. Bachmann, Nayma Binte Nur, Kimberly E. Union, Christopher S. Lapszynski, Dylan J. Shiltz
A bimodal video imaging platform combining 371-band hyperspectral and red-green-blue (RGB) video acquisition systems was constructed with a Headwall Hyperspec imaging sensor and used to collect video imagery of the Lake Ontario shoreline at Hamlin Beach State Park in Rochester, New York, United States.
Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review
By: Anton Terentev, Viktor Dolzhenko, Alexander Fedotov, Danila Eremenko
Abstract
The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops. Semantically rich data coming from hyperspectral sensors are a prerequisite for the timely and rational implementation of plant protection measures. This review presents modern advances in early plant disease detection based on hyperspectral remote sensing.
Detecting Xylella fastidiosa in a machine learning framework using Vcmax and leaf biochemistry quantified with airborne hyperspectral imagery
By: C. Camino, K. Ara˜no, J.A. Berni, H. Dierkes, J.L. Trapero-Casas, G. Le´on-Ropero, M. Montes-Borrego, M. Roman-´Ecija, M.P. Velasco-Amo, B.B. Landa, J.A. Navas-Cortes, P. S.A. Beck
Abstract
The bacterium Xylella fastidiosa (Xf) is a plant pathogen that can block the flow of water and nutrients through the xylem. Xf symptoms may be confounded with generic water stress responses. Hyperspectral imaging can be used to detect Xylella fastidiosa in a machine learning framework using Vcmax and leaf biochemistry quantified with airborne hyperspectral imager.
Detection of Red-Meat Adulteration by Deep Spectral-Spatial Features in Hyperspectral Images
By: Mahmoud Al-Sarayreh, Marlon M. Reis, Wei Qi Yan, and Reinhard Klette
This paper provides a comprehensive analysis of the performance of hyperspectral imaging for detecting adulteration in red-meat products.
Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery
By: T. Poblete, J.A. Navas-Cortes, A. Hornero, C. Camino, R. Calderon, R. Hernandez-Clemente, B.B. Landa, P.J. Zarco-Tejada
Abstract
• Detection of symptoms due to vascular pathogens was evaluated with satellite imagery.
• Hyperspectral and thermal images used as benchmark to assess the detection performance.
• Both spectral bandsets were accurate to detect intermediate and advanced stages of infection.
• Multispectral satellite data were unable to detect early stages of infection accurately.
• Combining airborne thermal with satellite data improved accuracy up to 15% & κ ≥ 0.2.
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.
Estimating the spatial distribution of soil total arsenic in the suspected contaminated area using UAV-Borne hyperspectral imagery and deep learning
By: Lifei Wei, Yangxi Zhang, Qikai Lu, Ziran Yuan, Haibo Li, Qingbin Huang
As a rapid and convenient technique, As a rapid and convenient technique, unmanned aerial vehicle (UAV) equipped with hyperspectral camera offers a promising way for estimating the distribution of total arsenic in soil.
