Integrated Mapping of Rare Earth Element Mineralization Using Hyperspectral Imaging and Laser Induced Fluorescence Spectroscopy in Drill Cores from the Storkwitz Carbonatite, Germany

The growing importance of rare earth elements (REEs) in sustainable technologies necessitates anefficient assessment of potential resource targets within the European Union. Traditional analyticaltechniques for REE determination have drawbacks like destructive and time-consuming samplepreparation, but hyperspectral imaging (HSI) and laser...

High Resolution Methane Retrievals Using the PRISMA Spacecraft

How can hyperspectral projection enhance chromostereoscopic perception?

Chromostereopsis is an optical illusion that allows 2D images to simulate depth based on color. For example, red is perceived to be closer than blue, when displayed on a black background. This effect is present because of the slight chromatic aberration caused by the eye lens, and it can be strengthened by the use of ChromaDepth® glasses. This...

Monitoring the health of urban greenery with terrestrial low-cost, mobile sensors

Urban forests and vegetation are fundamental for developing resilient cities. Thus, the effective management and protection of urban trees and greenery are essential. Nowadays, urban trees are experiencing atypical amount of natural and human-induced stresses which affects their functionality, productivity and survival. The current methods for...

Parasite Detection using Hyperspectral Microscopy: Hyperspectral microscopy in Malaria and Schistosoma diagnostics: the approximation and detection of spectral signatures

Parasitic diseases such as malaria remain a mayor burden on global health. One of the biggest challenges still to be overcome is that of inadequate diagnoses. This research explores the opportunities that Hyperspectral Imaging yields in this field. The first goal is to estimate the spectral signature of Malaria parasites in non-stained or Giemsa...

3D City Models in the Context of Urban Mining: A case study based on the CityGML model of Rotterdam

Recently, the application of machine learning and data fusion techniques on hyperspectral imagery have demonstrated potential for ground cover classification at material level. Hereby, specific locations of resources enclosed in cities (e.g. roof materials) can be identified, which is critically relevant within the field of urban mining. A...

Applicability of near-infrared hyperspectral imagery (NIR-HI) for sensor based sorting of an epithermal Au-Ag ore

In the presented study test work was performed with near-infrared hyperspectral imagery (NIR-HI) on 36 ore samples from a South-American epithermal Au-Ag mine. The aim of the test work was to investigate if NIR-HI provides information about the alteration mineralogy of samples that can be used to predict their economic value. Mineral...