Tracing Carbonate Form, Serpentinization, and Bio Materials With Micro-, Meso-Scale IR Img Spectro in a Mars Analog
By: Ellen K. Leask, Bethany L. Ehlmann, Rebecca N. Greenberger, Patrick Pinet, Yves Daydou, Georges Ceuleneer, Peter Kelemen
Abstract
Meso-to micro-scale imaging spectroscopy identifies and maps carbonates, serpentine, and other hydrothermal phases in the Oman ophiolite
Pigmentation from multiple types of biological materials including mats in travertine springs are distinguished even in shallow waters
Detection thresholds of carbonate and serpentine when mixed can be >20area%, which has implications for interpretation of planetary data
UAV LiDAR and hyperspectral fusion for forest monitoring in the southwestern USA
By: Temuulen Sankey, Jonathon Donager, Jason McVay, Joel B. Sankey
Forest vegetation classification and structure measurements are fundamental steps for planning, monitoring, and evaluating large-scale forest changes including restoration treatments. High spatial and spectral resolution remote sensing data are critically needed to classify vegetation and measure their 3-dimensional (3D) canopy structure at the level of individual species. Here we test high-resolution lidar, hyperspectral, and multispectral data collected from unmanned aerial vehicles (UAV) and demonstrate a lidar-hyperspectral image fusion method in treated and control forests with varying tree density and canopy cover as well as in an ecotone environment to represent a gradient of vegetation and topography in northern Arizona, U.S.A. The fusion performs better (88% overall accuracy) than either data type alone, particularly for species with similar spectral signatures, but different canopy sizes.
UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
By: Mark Parsons, Dmitry Bratanov, Kevin J. Gaston, Felipe Gonzalez
Abstract
Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching. This paper describes an unmanned aerial vehicle (UAV) remote sensing methodology to increase the efficiency and accuracy of existing surveillance practices. The methodology uses a UAV integrated with advanced digital hyperspectral, ultra HD colour (RGB) sensors, and machine learning algorithms.
UV Hyperspectral Imaging as Process Analytical Tool for the Characterization of Oxide Layers and Copper States on Direct Bonded Copper
By: Mohammad Al Ktash, Mona Stefanakis, Tim Englert, Maryam S. L. Drechsel, Jan Stiedl, Simon Green, Timo Jacob, Barbara Boldrini, Edwin Ostertag, Karsten Rebner, and Marc Brecht
Hyperspectral imaging and reflectance spectroscopy in the range from 200–380 nm were used to rapidly detect and characterize copper oxidation states and their layer thicknesses on direct bonded copper in a non-destructive way. Single-point UV reflectance spectroscopy, as a well established method, was utilized to compare the quality of the hyperspectral imaging results.
VIS/NIR hyperspectral imaging to assess freshness of sardines (Sardina pilchardus)
By: Leonardo Franceschelli, Chiara Cevoli, Alessandro Benelli, Eleonora Iaccheri, Marco Tartagni, Annachiara Berardinelli
Abstract
Biochemical reactions and microbiological activity are responsible of fresh fish short shelf life. The deterioration processes involve a series of changes in the product quality affecting its appearance, odor and taste. The present work aims at discriminating samples of sardines during the shelf life at 4°C by means of a Vis/Nir HyperSpectral Camera (HSC) camera.
Weed detection in dried parsley using hyperspectral imaging
By: Julia Helfert, Christian Felsheim, Jürgen Niederstraßer, Ute Appeltauer-Brandl, Iryna Smetanska
Abstract
Changing climate conditions in Western Europe bring about contamination of slow-growing commodities as parsley (Petroselinum crispum) with fast-growing invasive plants. Creeping thistle (Cirsium arvense) also contaminates parsley due to its sharp thorns. Groundsel (Senecio vulgaris) is one invasive weed in the cultivation of parsley, containing pyrrolizidine alkaloids (PA). New legal requirements demand strong maximum permissible values for PA 1. Hyperspectral Imaging Techniques (HSI) have become powerful tools in determining food quality. HSI should offer the technical opportunity to differentiate between the product and its undesired weeds.
What’s Happening in Egg-Sexing Technology?
By: Jenny Hone
Abstract
Hypereye is a patented scanning technology that uses non-invasive hyperspectral imaging (with Headwall sensor technology), pre-incubation, to identify whether an egg is fertile, and whether it contains a male or female chick.
XCH4 retrieval from MethaneAIR: An airborne precursor to the MethaneSAT mission
By: Chris Chan Miller, Kang Sun, Jenna Samra, Jonathan Franklin, Josh Benmergui, Peter Cheimets, Xiong Liu, Amir Souri, Yeonjin Jung, Kelly Chance, Martin Ettenberg, Scott Milligan, Ritesh Gautem, Mark Omara, Ju Chulakadabba, Yang Li, Bruce Daube, Carly Staeb
Abstract
MethaneAIR is an airborne push broom spectrometer that serves as a pre-launch testbed for MethaneSAT. Two flights were conducted over the Colorado front range in November 2019 (more planned this year over Permian basin). Here we evaluate the performance of the proxy-XCH4 retrieval algorithm developed for MethaneSAT.
