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SDLRC - Geophysics - Hyperspectral


The Sheahan Diamond Literature Reference Compilation - Scientific and Media Articles based on Major Keyword - Geophysics - Hyperspectral
The Sheahan Diamond Literature Reference Compilation is compiled by Patricia Sheahan who publishes on a monthly basis a list of new scientific articles related to diamonds as well as media coverage and corporate announcements called the Sheahan Diamond Literature Service that is distributed as a free pdf to a list of followers. Pat has kindly agreed to allow her work to be made available as an online digital resource at Kaiser Research Online so that a broader community interested in diamonds and related geology can benefit. The references are for personal use information purposes only; when available a link is provided to an online location where the full article can be accessed or purchased directly. Reproduction of this compilation in part or in whole without permission from the Sheahan Diamond Literature Service is strictly prohibited. Return to Diamond Keyword Index
Sheahan Diamond Literature Reference Compilation - Scientific Articles by Author for all years
A-An Ao+ B-Bd Be-Bk Bl-Bq Br+ C-Cg Ch-Ck Cl+ D-Dd De-Dn Do+ E F-Fn Fo+ G-Gh Gi-Gq Gr+ H-Hd He-Hn Ho+ I J K-Kg Kh-Kn Ko-Kq Kr+ L-Lh
Li+ M-Maq Mar-Mc Md-Mn Mo+ N O P-Pd Pe-Pn Po+ Q R-Rh Ri-Rn Ro+ S-Sd Se-Sh Si-Sm Sn-Ss St+ T-Th Ti+ U V W-Wg Wh+ X Y Z
Sheahan Diamond Literature Reference Compilation - Media/Corporate References by Name for all years
A B C D-Diam Diamonds Diamr+ E F G H I J K L M N O P Q R S T U V W X Y Z
Each article reference in the SDLRC is tagged with one or more key words assigned by Pat Sheahan to highlight the main topics of the article. In an effort to make it easier for users to track down articles related to a specific topic, KRO has extracted these key words and developed a list of major key words presented in this Key Word Index to which individual key words used in the article reference have been assigned. In most of the individual Key Word Reports the references are in crhonological order, though in some such as Deposits the order is first by key word and then chronological. Only articles classified as "technical" (mainly scientific journal articles) and "media" (independent media articles) are included in the Key Word Index. References that were added in the most recent monthly update are highlighted in yellow.

Articles tagged Geophysics - Hyperspectral are about "hyperspectral imaging", the collection of images of a surface that includes the entire reflected electro-magnetic spectrum of wave-lengths, not just the colors a human would see through an eye in the sky otherwise known as a satellite, and the processing algorithms that extract knowledge from the resulting grid of pixels. The idea is that different molecules reflect different wavelengths, which molecules can be organic as in vegetation or inorganic as in the minerals that make up rocks. Hyperspectral data can be collected at different scales, such as satellites that orbit the earth, airplanes that collect much higher resolution data by flying over target areas, and even at the hand-held level where a kimberlite core or an indicator mineral sample can be scanned. It is a subset of "remote sensing". What distinguishes hyperspectral surveys from most other geophysical surveys is that they are passive in the sense that they simply collect what natural radiation is reflected by surfaces (or not when it is in fact absorbed, creating distinct "holes" that are themselves valuable information). Other geophysical methods such as seismic or magnetic surveys involve bombarding the earth's surface with "radiation" of some form and measuring the reflection pattern. The interpretation of hyperspectral data requires massive computational power and a database of "patterns" that correlate with known physical things such as the reflection characteristics of certain minerals that are formed when rock undergoes alteration due to a hydrothermal system. But even when a definitive interpretative template is not available, the analysis can reveal lateral variation which piques curiosity as to what might be responsible, and leads to new pattern mapping definitions. The ability to create time series snapshots of the earth's surface also makes it possible to observe changes over human time scales, and while these are not interesting to geologists except when they involve retreating glaciers that might reveal never before seen outcropping mineralization, they are of great interest to environmentalists and anybody else impacted by a changing landscape. Articles about hyperspectral imaging can be relevant to diamond when it involves recognizing erupted kimberlites, but they are more interesting when they are about methods which allow rapid quantified identification of diamond indicator minerals in either a till sample or a crushed kimberlite sample.

Geophysics - Hyperspectral
Posted/
Published
AuthorTitleSourceRegionKeywords
DS2002-0677
2002
Hauff, P.L., Coulter, D., Koll, G., Peters, D.C., Peppin, W.A.An overview of hyper spectral remote sensing as applied to precious metals and diamond deposits.11th. Quadrennial Iagod Symposium And Geocongress 2002 Held Windhoek, Abstract p. 27.GlobalRemote sensing - hyperspectral
DS2003-0558
2003
Harris, J.R., Rogge, D., Hitchcock, R., Ijewliw, O., Wright, D.Mapping lithology in Canada's high arctic: application of hyper spectral Data31st Yellowknife Geoscience Forum, p. 37. (abst.Nunavut, Baffin IslandRemote sensing - hyperspectral
DS200412-0737
2003
Gu, Y., Anderson, J.M.Geometric processing of hyper spectral image dat a acquired nu VIFIS on board light aircraft.International Journal of Remote Sensing, Vol.24, no. 23, Dec.pp. 4681-99.TechnologyRemote sensing - hyperspectral
DS200412-0796
2003
Harris, J.R., Rogge, D., Hitchcock, R., Ijewliw, O., Wright, D.Mapping lithology in Canada's high arctic: application of hyper spectral Data.31st Yellowknife Geoscience Forum, p. 37. (abst.Canada, Nunavut, Baffin IslandRemote sensing - hyperspectral
DS200412-1326
2003
Mining Environmental ManagementRemote sensing monitoring of environmental impacts.Mining Environmental Management, Nov. pp. 19-23.GlobalHyperspectral - not related to diamonds
DS200612-0536
2006
Harris, J.R., Ponomarev, P., Shang, S., Budkewitsch, P., Rogge, D.A comparison of automatic and supervised methods for extracting lithological end members from hyper spectral data: application to southern Baffin Island, Nunavut.Geological Survey of Canada Current Research, 2006-C4 19p.Canada, NunavutHyperspectral - technology
DS200612-0537
2005
Harris, J.R., Rogge, D., Hitchcock, R., Ijewliw, O., Wright, D.Mapping lithology in Canada's Arctic: application of hyper spectral dat a using the minimum noise fraction transformation and matched filtering.Canadian Journal of Earth Sciences, Vol. 41, 12, Dec. pp. 2173-2193.Canada, Nunavut, Baffin IslandMapping - hyperspectral, lithology
DS200712-0307
2007
Fedorovich, A.N., Yurevich, S.M., Iljich,R.A.Prediction of and searching for kimberlites by multispectral satellite images (MSI) on the basis of the stability theory of frames and encoding images.IAGOD Meeting held August 2006, Abstract, 5p.TechnologyRemote sensing - hyperspectral
DS201112-0170
2011
Chandrasekar, N., Sheik Mujabar, P., Rajamanickam, G.V.Investigation of heavy mineral deposits using multispectral satellite data.Journal of the Geological Society, Vol. 168, 8, pp. 8641-8655.TechnologyHyperspectral
DS201112-0599
2011
Li, Z., Li, L., Zhang, R., Ma, J.An improved classification method for hyper spectral dat a based on spectral and morphological information.International Journal of Remote Sensing, Vol. 32, 10, p. 2919-2929TechnologyHyperspectral
DS201312-0704
2013
Petrunin, A.G., Kaban, M.K., Rogozhina, I., Trubitsyn, V.Revising the spectral method as applied to modeling mantle dynamics.Geochemistry, Geophysics, Geosystems: G3, Vol. 14, 9, pp. 3691-3702.MantleGeophysics - spectral
DS201312-0898
2013
Suryanarayana Rao, K.V., Kumar, C., Kumar, A.Lamproites from the eastern margin of the Bhandara craton, Orissa, India: an exploration case study.Proceedings of the 10th. International Kimberlite Conference, Vol. 2, Special Issue of the Journal of the Geological Society of India,, Vol. 2, pp. 129-141.India, OrissaGeophysics - hyperspectral
DS201512-1977
2015
Tappert, R., Tappert, M.C.hyper spectral imagery: a novel way to analyze kimberlite indicator minerals and to detect kimberlite micro-float.43rd Annual Yellowknife Geoscience Forum Abstracts, abstract p. 102.Canada, Northwest TerritoriesHyperspectral imagery

Abstract: The collection and analysis of kimberlite indicator minerals from heavy mineral concentrates is an integral part of the diamond exploration process. However, surficial sampling programs are often restricted by time-consuming mineral collection, processing, and analysis procedures. To facilitate the development of a technique that can simplify and accelerate the identification and classification of kimberlite indicator minerals, we explored the usage of hyperspectral imagery, which is based on the analysis of reflected radiation in the visible and infrared parts of the electromagnetic spectrum. The investigation was focused on the identification of indicator garnets. Hyperspectral imagery was collected directly from heavy mineral concentrates, and these images were de-noised and processed to isolate the spectral absorption features relating to mineral composition. These images were then analyzed to identify individual garnets. This portion of the analysis was complemented by the results of 1000+ high-resolution spectra collected from well-characterized crust- and mantle-derived garnets to ensure that the garnets in the heavy mineral concentrates were accurately identified. Preliminary results indicate that garnets can be readily distinguished from other concentrate minerals using hyperspectral imagery, and that the garnets can also be compositionally classified. The compositional classification allows crust- and mantle-derived garnets to be distinguished accurately, while providing concentration information about certain transition elements, like chromium and titanium. In addition to the garnet analysis, hyperspectral imagery was also used to identify millimeter-sized fragments of kimberlite (kimberlite micro-float) in heavy mineral concentrates and unprocessed sediment samples. Preliminary results indicate that kimberlite micro-float can be readily distinguished from other rock and mineral fragments due to its distinct spectrum. Pending additional testing, analytical techniques using hyperspectral imagery may serve as an alternative to the costly and time-consuming indicator mineral identification methods currently being used.
DS201912-2790
2019
Jacq, K., Giguet-Covex, C., Sabatier, P., Perrette, Y., Fanget, B., Coquin, D., Debret, M., Arnaud, F.High resolution grain size distribution of sediment core with hyperspectral imaging. ( not specific to diamond)Sedimentary Geology, Vol. 393-394, pdfGlobalhyperspectral

Abstract: The study of sediment cores allows for the reconstruction of past climate and environment through physical-chemical analysis. Nevertheless, this interpretation suffers from many drawbacks that can be overcome with the newest technologies. Hyperspectral imaging is one of these and allows a fast, high resolution, and non-destructive analysis of sediment cores. In this study, we use visible and near-infrared hyperspectral imaging to predict particle size fractions and distribution (PSD) at a resolution of 200??m on a previously well-studied sediment core taken from Lake Bourget (Western Alps, France). These predictions agree with previous studies on this core. Then, the PSD was used to estimate sedimentary deposit sources using the PSD unmixing algorithm AnalySize. It permitted estimation of the contribution of five sources (micrite, small and large bio-induced calcite crystals, diatom frustules, detrital particles), which had previously been characterized. The spatial dimension allowed for laminae to be discretized and counted, in agreement with the age-depth model previously established. We then evaluated the particle size and spectral signatures of each of these annual laminae, hence characterizing their physico-chemical composition. These high-resolution data also allowed for estimation of the accumulation rate (cm/year) of each of the main sources in the laminated unit and inferring the trophic status and the presence of instantaneous events of the lake.
DS202002-0198
2019
Krupnik, D., Khan, S.Close range, ground based hyperspectral imaging for mining applications at various scales: review and case studies. ( not specific to diamonds). Glossary addedEarth Science Reviews, Vol. 198, 34p. PdfGlobalhyperspectral

Abstract: Detailed mapping of mineral phases at centimeter scale can be useful for geological investigation, including resource exploration. This work reviews case histories of ground-based close-range hyperspectral imaging for mining applications. Studies of various economic deposits are discussed, as well as techniques used for data correction, integration with other datasets, and validation of spectral mapping results using geochemical techniques. Machine learning algorithms suggested for automation of the mining workflow are reviewed, as well as systems for environmental monitoring such as gas leak detection. Three new case studies that use a ground-based hyperspectral scanning system with sensors collecting data in the Visible Near-Infrared and Short-Wave Infrared portions of the electromagnetic spectrum in active and abandoned mines are presented. Vertical exposures in a Carlin Style sediment-hosted gold deposit, an active Cu-Au-Mo mine, and an active asphalt quarry are studied to produce images that delineate the extent of alteration minerals at centimeter scale to demonstrate an efficient method of outcrop characterization, which increases understanding of petrogenesis for mining applications. In the Carlin-style gold deposit, clay, iron oxide, carbonate, and jarosite minerals were mapped. In the copper porphyry deposit, different phases of alteration are delineated, some of which correspond to greater occurrence of ore deposits. A limestone quarry was also imaged, which contains bitumen deposits used for road paving aggregate. Review of current literature suggests use of this technology for automation of mining activities, thus reducing physical risk for workers in evaluating vertical mine faces.
DS202006-0922
2020
Hong, L., Znag,, M.Object oriented multiscale deep features for hyperspectral image classification. (Not specific to diamonds)International Journal of Remote Sensing, Vol. 41, 14, pp. 5549-5572.Globalhyperspectral

Abstract: The classification of hyperspectral images (HSIs) is one of the most popular topics in the remote sensing community. Numerous feature extraction methods have been proposed to improve the classification accuracy of HSIs. Recently, deep features extracted by convolution neural network (CNN) have been introduced into the classification process of HSIs. Due to the nonlinear and invariant advantages of the features, CNN methods provide a powerful tool for representing geographic objects and classifying HSIs. However, traditional deep features only extracted at pixel-level and often neglect multiscale characteristics of geographic objects. In this study, a new deep feature extraction method is proposed, which takes advantage of multi-scale object analysis and the CNN model. Firstly, multiscale image objects are obtained by the multiscale segmentation algorithm and multiscale low-level features of objects are extracted. Secondly, the CNN is devoted to obtain deep features from low-level object features at each scale, respectively. Thirdly, the obtained deep features at all scales are stacked and fed to one fully connected layer to extract the multiscale deep learning features for classification. Finally, the logistic regression classifier is applied to hyperspectral image (HSI) classification based on object-oriented multiscale deep features. The proposed method was carried out on three widely used hyperspectral data sets: University of Pavia, Salinas, and Washington DC. The results reveal that the proposed method provides better results than other state-of-the-art methods.
DS202107-1101
2018
Guha, A., Rani, K., Varma, C.B., Sarwate, N.K., Sharma, N., Mukherjee, A., Kumar, K.V., Pal, S.K., Saw, A.K., Jha, S.K.Identification of potential zones for kimberlite exploration - an Earth observation approach. ChhatarpurThe International Achives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-5 12p. PdfIndia, Madhya PradeshASTER, lineament

Abstract: In the present study, we have prepared the thematic evidence layers for identifying the potential zones of kimberlite emplacement in parts of Chhatarpur district, Madhya Pradesh. These thematic layers or evidence layers are geological structure, alteration zones, lineament density, surface alteration and geomorphic anomaly and these layers are prepared from the remote sensing data. As orientation of the geological structures (i.e fault system) and their density have the major role in the emplacement of kimberlite; both of these evidence layers are integrated using "AND" Boolean Logical Operator. On the other hand, two evidential layers regarded as the proxy to indicate the "surface expressions on kimberlite (i.e. alteration zones and geomorphic anomaly) are combined using "OR" operator as either of these two surface expression is indicative of kimberlite. Consequently, conjugate evidence layers on the surface expressions of kimberlite are integrated with the causative evidence layers of kimberlite emplacement using "AND" operator to identify the potential zones of diamond occurrences. Potential zones of kimberlite are overlaid on the residual gravity anomaly map derived from space-based gravity model of European Improved Gravity of Earth by New Technique (EIGEN6C4) to relate potential zones of kimberlite with the similar structural alignment (delineated in the residual gravity map) of known occurrence of kimberlite. We also have carried out indicator mineral survey around these potential zones and some of the kimberlite specific indicator minerals are identified in the stream sediments within these potential zones.

 
 

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