Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards
By: Sarah L. MacDonald, Matthew Staid, Melissa Staid, Monica L. Cooper
Abstract
Comprehensive mapping (total population sampling) of disease presence on the ground is cumbersome and cost prohibitive in many situations. In addition, the practice of identifying diseased vines requires individuals to be highly trained to recognize symptoms. Compared to more traditional detection methods, airborne hyperspectral imaging offers a potentially valuable alternative for monitoring the disease that is cost effective, reliable and automatable.
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
By: Gina H. Mohammed, Roberto Colombo, Elizabeth M. Middleton, Uwe Rascher, Christiaan van der Tol, Ladislav Nedbal, Yves Goulas, Oscar Pérez-Priego, Alexander Damm, Michele Meroni, Joanna Joiner, Sergio Cogliati, Wouter Verhoef, Zbyněk Malenovský, Jean-Phili
Abstract
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF – especially from space – is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence.
Ripeness evaluation of kiwifruit by hyperspectral imaging
By: Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni
Abstract
In this study, hyperspectral imaging operating at 400–1000 nm (Vis/NIR) was adopted to evaluate the ripeness degree of ‘Hayward’ kiwifruit. Partial least square (PLS) regression models were developed to estimate SSC and FF, while two different types of PLS discriminant analysis (PLS-DA) were used to classify samples according to three repining classes (defined on the base of SCC and FF values).
Saliency-based visualization of hyperspectral satellite images using hierarchical fusion
By: Faisal Masood, Imtnan-ul-Haque Qazi, Khurram Khurshid
Abstract
Owing to a large number of spectral bands, it is always a challenge to devise an optimal visualization method for hyperspectral images. An algorithm must maintain a balance between dimensionality reduction and restoration of maximum spectral information. A methodology for visualization of hyperspectral imagery is proposed based on extraction of salient regions.
Seeing More with Hyperspectral Imaging
By: Henry Canaday
Abstract
The recent selection of a hyperspectral imaging (HSI) sensor for the Senior Year Electro-Optical Reconnaissance Sensor platform, used on the Air Force U-2 Dragon Lady for very high-altitude reconnaissance missions, has underscored the growing importance of that type of sensing technology.
Spectral Calibration of the MethaneAIR Instrument
By: Carly Staebell, Kang Sun, Jenna Samra, Jonathan Franklin, Christopher Chan Miller, Xiong Liu, Eamon Conway, Kelly Chance, Scott Milligan, Steven Wofsy
Abstract
MethaneAIR is the airborne simulator of MethaneSAT, an area-mapping satellite currently under development with the goal of locating and quantifying large anthropogenic CH4 point sources as well as diffuse emissions at the spatial scale of an oil and gas basin. Built to closely replicate the forthcoming satellite, MethaneAIR consists of two imaging spectrometers. One detects CH4 and CO2 absorption around 1.65 and 1.61 µm, respectively, while the other constrains the optical path in the atmosphere by detecting O2 absorption near 1.27 µm.
Stray light characterization in a high-resolution imaging spectrometer designed for solar-induced fluorescence
By: Loren P. Albert, K. C. Cushman, David W. Allen, Yuqin Zong, Luis Alonso, James R. Kellner
Abstract
New commercial-off-the-shelf imaging spectrometers promise the combination of high spatial and spectral resolution needed to retrieve solar induced fluorescence (SIF). Imaging at multiple wavelengths for individual plants and even individual leaves from low-altitude airborne or ground-based platforms has applications in agriculture and carbon-cycle science.
Study on the Application of an Automatic Hyperspectral Scanning System to Investigate Chinese Paintings
By: Li Guanghua, Chen Yao, Duan Peiquan, Qu Liang, Sun Xuejian, Zhang Hongming, Lei Yong
An automated hyperspectral scanning system including Headwall VNIR and SWIR systems (400 to 2500 nm) was built for large scale artwork by the Beijing Palace Museum in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences.
The design and the development of a hyperspectral unmanned aircraft mapping system for the detection of invasive plants
By: Remy L. Dehaan, Leslie A. Weston, Rod Rumbachs
Abstract
Cost-effective tools for rapidly identifying the spatial distribution of invasive plants in natural and managed landscapes are needed by land managers across the world to identify and monitor the spread of weeds. This paper describes a low-cost unmanned aircraft system (UAS) designed for the rapid acquisition of hyperspectral image data.
Towards non-contact pollution monitoring in sewers with hyperspectral imaging
By: Lechevallier P., Villez, K., Felsheim C., Rieckermann J.
Abstract
Hyperspectral imaging is a promising technology for non-contact monitoring of water quality in raw wastewater.
