Mapping of iron and steelwork by-products using close range hyperspectral imaging: A case study in Thuringia, Germany

Denk, Michael; Gläßer, Cornelia; Kurz, Tobias H.; Buckley, Simon J.

doi:10.5721/eujrs20154828

Cited by 17 publications

(7 citation statements)

References 30 publications

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“…A study with the purpose to map steelworks and iron byproducts identified jarosite and other iron minerals [31], achieving promising results with a hyperspectral mapping approach and endmembers deviated from image scenes in combination with geochemical validation.…”

Section: Study Areamentioning

confidence: 99%

Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District

et al. 2018

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This contribution explores the potential of unmanned aerial systems (UAS) to monitor areas affected by acid mine drainage (AMD). AMD is an environmental phenomenon that usually develops in the vicinity of mining operations or in post-mining landscapes. The investigated area covers a re-cultivated tailing in the Sokolov lignite district of the Czech Republic. A high abundance of AMD minerals occurs in a confined space of the selected test site and illustrates potential environmental issues. The mine waste material contains pyrite and its consecutive weathering products, mainly iron hydroxides and oxides. These affect the natural pH values of the Earth’s surface. Prior research done in this area relies on satellite and airborne data, and our approach focuses on lightweight drone systems that enables rapid deployment for field campaigns and consequently-repeated surveys. High spatial image resolutions and precise target determination are additional advantages. Four field and flight campaigns were conducted from April to September 2016. For validation, the waste heap was probed in situ for pH, X-ray fluorescence (XRF), and reflectance spectrometry. Ground truth was achieved by collecting samples that were characterized for pH, X-ray diffraction, and XRF in laboratory conditions. Hyperspectral data were processed and corrected for atmospheric, topographic, and illumination effects using accurate digital elevation models (DEMs). High-resolution point clouds and DEMs were built from drone-borne RGB data using structure-from-motion multi-view-stereo photogrammetry. The supervised classification of hyperspectral image (HSI) data suggests the presence of jarosite and goethite minerals associated with the acidic environmental conditions (pH range 2.3–2.8 in situ). We identified specific iron absorption bands in the UAS-HSI data. These features were confirmed by ground-truth spectroscopy. The distribution of in situ pH data validates the UAS-based mineral classification results. Evaluation of the applied methods demonstrates that drone surveying is a fast, non-invasive, inexpensive technique for multi-temporal environmental monitoring of post-mining landscapes.

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Section: Study Areamentioning

confidence: 99%

Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District

et al. 2018

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“…The utilization of CS in iron ore sintering can replace parts of the iron ore and the flux, which is beneficial to energy saving and consumption reduction [27,[42][43][44]. It has been reported that the utilization of CS in iron ore sintering for ironmaking is the most effective recovery method due to the high production of sinter [45].…”

Section: Iron Ore Sinteringmentioning

confidence: 99%

Advanced converter sludge utilization technologies for the recovery of valuable elements: A review

Wang

Liu

Zhang

et al. 2020

Journal of Hazardous Materials

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“…Environmental services include applications for sustainability, characterization of green space, air quality measurement, land use planning and ground cover, bioassays, and waste remediation and recycling. Asset management includes applications in transportation systems, building recognition, and infrastructure appraisal [8][9][10][11][12][13][14]…”

Section: A Available Instruments For Sensingmentioning

confidence: 99%

Concepts and Constructs of Urban Sensing

Cunningham

Verbraeck

2018

2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)

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There is an increasing practice of combining various sorts of data from the city to obtain a comprehensive operating picture for urban managers. The sorts of data being combined includes administrative data, sensor and transactional data, and social media data. In order for these practices to fulfil their full promises it is important that practitioners build systems which measure the correct things. It is also important that theorists develop systematic explanations for complex urban phenomena. This paper confronts the challenges of building better concepts and constructs for urban data analysis and sensing.

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Mapping of iron and steelwork by-products using close range hyperspectral imaging: A case study in Thuringia, Germany

Cited by 17 publications

References 30 publications

Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District

Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District

Advanced converter sludge utilization technologies for the recovery of valuable elements: A review

Concepts and Constructs of Urban Sensing

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