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5. KMn[O.sub.4] determination of active carbon for laboratory routines: three long-term field experiments in Austria

Author

Tatzber, M., Schlatter, N., Baumgarten, A., Dersch, G., Korner, R., Lehtinen, T., Unger, G., Mifek, E., and Spiegel, H.

Subjects
Oxalic acid -- Analysis, Soils -- Carbon content, Oxalates -- Analysis, Cropping systems -- Analysis, Soil management -- Analysis, Agricultural industry, Earth sciences, Soil Science Society of America
Abstract

Recent studies show that a labile soil carbon (C) fraction determined with potassium permanganate (KMn[O.sub.4]) reflects the type of soil management. The present study combines the method for determining the active C (AC) pool with an alternative titration of the 0.02 m KMn[O.sub.4] solution with sodium oxalate ([Na.sub.2][C.sub.2]4) for routine laboratory analyses. Three long-term field experiments investigated: (i) different cropping systems and [sup.14]C-labelled organic amendments, (if) three different tillage systems, and (iii) the application of four different kinds of compost. The results showed the depletion of AC in the permanent bare-fallow system of the [sup.14]C-labelled field experiment. When calculating the ratio AC/total organic C (TOC), the depletion of the AC/TOC curve reflected a priming effect, in accord with previous work. We obtained significant positive correlations of AC with TOC, total nitrogen ([N.sub.t]), humic acid-C and remaining [sup.14]C-labelled material. The AC in the tillage systems experiment was significantly (Pc 0.05) different between all three tillage treatments at 0-10 cm depth, and the ratio AC/TOC also revealed a significant difference between minimum and conventional tillage treatments at 10-20 cm. For the compost field experiment, significant differences occurred between plots fertilised solely with N and plots receiving organic amendments. The AC/TOC ratio of the sewage sludge amendment was significantly lower than in all other systems. Correlations of AC with TOC for all samples of the different long-term field experiments revealed different behaviours in different soil types. The correlations of AC with [N.sub.t] showed higher coefficients than with TOC. The applied methodology has a potential for sensitive and reliable detections of differences in soil organic matter characteristics. Additional keywords: [sup.14]C label, compost, cropping systems, SOM, tillage systems, titration., Introduction Global storage of soil organic carbon (SOC) is estimated to be 1502 Pg C in the first metre of soil (Jobbagy and Jackson 2000), including active and more stable [...]

Published
2015
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10. Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland

Author

(0000-0001-8464-2331) Lorenz, S., (0000-0003-4169-0207) Thiele, S. T., (0000-0003-1512-5511) Kirsch, M., Unger, G., (0000-0001-6200-2704) Zimmermann, R., Guarnieri, P., Baker, N., Vest Sørensen, E., Rosa, D., (0000-0002-4383-473X) Gloaguen, R., (0000-0001-8464-2331) Lorenz, S., (0000-0003-4169-0207) Thiele, S. T., (0000-0003-1512-5511) Kirsch, M., Unger, G., (0000-0001-6200-2704) Zimmermann, R., Guarnieri, P., Baker, N., Vest Sørensen, E., Rosa, D., and (0000-0002-4383-473X) Gloaguen, R.

Abstract

Hyperspectral imaging is an innovative technology for non-invasive mapping, with increas- ing applications in many sectors. As with any novel technology, robust processing workflows are required to ensure a wide use. We present an open-source hypercloud dataset capturing the complex but spectacularly well exposed geology from the Black Angel Mountain in Maarmorilik, West Green- land, alongside a detailed and interactive tutorial documenting relevant processing workflows. This contribution relies on very recent progress made on the correction, interpretation and integration of hyperspectral data in earth sciences. The possibility to fuse hyperspectral scans with 3D point cloud representations (hyperclouds) has opened up new possibilities for the mapping of complex natural targets. Spectroscopic and machine learning tools allow or the rapid and accurate characterization of geological structures in a 3D environment. Potential users can use this exemplary dataset and the associated tools to train themselves or test new algorithms. As the data and the tools have a wide range of application, we expect this contribution to benefit the scientific community at large.

Published
2022

11. Unravelling the Deformation of Paleoproterozoic Marbles and Zn-Pb Ore Bodies by Combining 3D-Photogeology and Hyperspectral Data (Black Angel Mine, Central West Greenland)

Author

Guarnieri, P., (0000-0003-4169-0207) Thiele, S. T., Baker, N., Sørensen, E. V., (0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., Rosa, D., Unger, G., Zimmermann, R., Guarnieri, P., (0000-0003-4169-0207) Thiele, S. T., Baker, N., Sørensen, E. V., (0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., Rosa, D., Unger, G., and Zimmermann, R.

Abstract

The Black Angel Zn-Pb ore deposit is hosted in folded Paleoproterozoic marbles of the Mârmorilik Formation. It is exposed in the southern part of the steep and inaccessible alpine terrain of the Rinkian Orogen, in central West Greenland. Drill-core data integrated with 3D-photogeology and hyperspectral imagery of the rock face allow us to identify stratigraphic units and extract structural information that contains the geological setting of this important deposit. The integrated stratigraphy distinguishes chemical/mineralogical contrast within lithologies dominated by minerals that are difficult to distinguish with the naked eye, with a similar color of dolomitic and scapolite-rich marbles and calcitic, graphite-rich marbles. These results strengthen our understanding of the deformation style in the marbles and allow a subdivision between evaporite-carbonate platform facies and carbonate slope facies. Ore formation appears to have been mainly controlled by stratigraphy, with mineralizing fluids accumulating within permeable carbonate platform facies underneath carbonate slope facies and shales as cap rock. Later, folding and shearing were responsible for the remobilization and improvement of ore grades along the axial planes of shear folds. The contact between dolomitic scapolite-rich and calcitic graphite-rich marbles probably represents a direct stratigraphic marker, recognizable in the drill-cores, to be addressed for further 3D-modeling and exploration in this area.

Published
2022

12. Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland

Author

(0000-0001-8464-2331) Lorenz, S., (0000-0003-4169-0207) Thiele, S. T., (0000-0003-1512-5511) Kirsch, M., Unger, G., (0000-0001-6200-2704) Zimmermann, R., Guarnieri, P., Baker, N., Vest Sørensen, E., Rosa, D., (0000-0002-4383-473X) Gloaguen, R., (0000-0001-8464-2331) Lorenz, S., (0000-0003-4169-0207) Thiele, S. T., (0000-0003-1512-5511) Kirsch, M., Unger, G., (0000-0001-6200-2704) Zimmermann, R., Guarnieri, P., Baker, N., Vest Sørensen, E., Rosa, D., and (0000-0002-4383-473X) Gloaguen, R.

Abstract

Hyperspectral imaging is a most promising innovative technology for non-invasive material mapping and is starting to be adapted in a wide range of applications, including geosciences, ag-riculture, and food quality control. Novel processing workflows have revolutionized the way we can correct, interpret, and integrate hyperspectral data in the past decade. The reprojection of planar hyperspectral scans to real 3D point cloud representations (“hyperclouds”) has opened up new possibilities for the mapping of large and topographically complex targets. So far, only a few tools have been developed to process and visualize this kind of data. In this contribution we pre-sent an open-source hypercloud dataset capturing complex but spectacularly well exposed geolo-gy from the Black Angel Mountain in Maarmorilik, West Greenland, alongside a detailed and interactive tutorial documenting the workflow that was used to create it.

Published
2022

13. Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland

Author

Lorenz, S., Thiele, S. T., Kirsch, M., Unger, G., Zimmermann, R., Guarnieri, P., Baker, N., Vest Sørensen, E., Rosa, D., and Gloaguen, R.

Subjects
3D hyperclouds, Black Angel Maarmorilik, hyperspectral data, spectral imaging, photogrammetry, mineral mapping, interactive workflow, open-source dataset, minimum wavelength mapping
Abstract

Hyperspectral imaging is a most promising innovative technology for non-invasive material mapping and is starting to be adapted in a wide range of applications, including geosciences, ag-riculture, and food quality control. Novel processing workflows have revolutionized the way we can correct, interpret, and integrate hyperspectral data in the past decade. The reprojection of planar hyperspectral scans to real 3D point cloud representations (“hyperclouds”) has opened up new possibilities for the mapping of large and topographically complex targets. So far, only a few tools have been developed to process and visualize this kind of data. In this contribution we pre-sent an open-source hypercloud dataset capturing complex but spectacularly well exposed geolo-gy from the Black Angel Mountain in Maarmorilik, West Greenland, alongside a detailed and interactive tutorial documenting the workflow that was used to create it.

Published
2022
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20. Poster abstracts

Author

Ferrie, J., Shipley, M., Cappuccio, F., Brunner, E., Miller, M., Kumari, M., Marmot, M., Coenen, A., Castillo, J. L., Araya, F., Bustamante, G., Montecino, L., Torres, C., Oporto, S., Gronli, J., Fiske, E., Murison, R., Bjorvatn, B., Sorensen, E., Ursin, R., Portas, C. M., Rajaraman, S., Gribok, A., Wesensten, N., Balkin, T., Reifman, J., Dursunoglu, N., Ozkurt, S., Baser, S., Delen, O., Sarikaya, S., Sadler, P., Mitchell, P., Françon, D., Decobert, M., Herve, B., Richard, A., Griebel, G., Avenet, P., Scatton, B., Fur, G. L., Eckert, D., Jordan, A., Wellman, A., Smith, S., Malhotra, A., White, D., Bruck, D., Thomas, I., Kritikos, A., Oertel, W., Stiasny-Kolster, K., Garcia-Borreguero, D., Poewe, W., Hoegl, B., Kohnen, R., Schollmayer, E., Keffel, J., Trenkwalder, C., Valle, A., Roizenblatt, S., Fregni, F., Boggio, P., Tufik, S., Ward, K., Robertson, L., Palmer, L., Eastwood, P., Hillman, D., Lee, J., Mukherjee, S., de Padova, V., Barbato, G., Ficca, G., Zilli, I., Salzarulo, P., Veldi, M., Hion, T., Vasar, V., Kull, M., Nowak, L., Davis, J., Latzer, Y., Tzischinsky, O., Crowley, S., Carskadon, M., Anca-Herschkovitsch, M., Frey, D., Ortega, J., Wiseman, C., Farley, C., Wright, K., Campbell, A., Neill, A., Spiegel, K., Leproult, R., Tasali, E., Scherberg, N., van Cauter, E., Noradina, A. T., Karim, N. A., Norlinah, I., Raymond, A. A., Sahathevan, R., Hamidon, B., Werth, E., Poryazova, R., Khatami, R., Bassetti, C., Beran, R. G., Ainley, L., Holand, G., Duncan, J., Kinney, H., Davis, B., Hood, B., Frey, S., Schmidt, C., Hofstetter, M., Peigneux, P., Cajochen, C., Hu, W.-P., Li, J.-D., Zhang, C., Boehmer, L., Siegel, J., Zhou, Q.-Y., Sagawa, Y., Kondo, H., Takemura, T., Kanayama, H., Kaneko, Y., Sato, M., Kanbayashi, T., Hishikawa, Y., Shimizu, T., Viola, A., James, L., Schlangen, L., Dijk, D.-J., Andretic, R., Kim, Y.-C., Han, K.-A., Jones, F., Greenspan, R., Sanford, L., Yang, L., Tang, X., Dieter, K., Uta, E., Sven, H., Richard, M., Oyane, N., Pallesen, S., Holsten, F., Inoue, Y., Fujita, M., Emura, N., Kuroda, K., Uchimura, N., Johnston, A., Astbury, J., Kennedy, G., Hoedlmoser, K., Schabus, M., Pecherstorfer, T., Moser, S., Gruber, G., Anderer, P., Klimesch, W., Naidoo, N., Ferber, M., Pack, A., Neu, D., Mairesse, O., Hoffmann, G., Dris, A., Lambrecht, L., Linkowski, P., Verbanck, P., Le Bon, O., Matsuura, N., Yamao, M., Adachi, N., Aritomi, R., Komada, Y., Tanaka, H., Shirakawa, S., Kondoh, H., Takemura, F., Ohnuma, S., Suzuki, M., Uemura, S., Iskra-Golec, I., Smith, L., Thanh, D.-V., Boly, M., Phillips, C., Steven, L., Luxen, A., Maquet, M., Jay, S., Dawson, D., Lamond, N., Basner, M., Fomberstein, K., Dinges, D., Ogawa, K., Nittono, H., Yamazaki, K., Hori, T., Glamann, C., Hornung, O., Hansen, M.-L, Danker-Hopfe, H., Jung, C., Kecklund, G., Anund, A., Peters, B., Åkerstedt, T., Verster, J., Roehrs, T., Mets, M., de Senerpont Domis, L., Olivier, B., Volkerts, E., Knutson, K., Lauderdale, D., Rathouz, P., Christie, M., Chen, L., Bolortuya, Y., Lee, E., Mckenna, J., Mccarley, R., Strecker, R., Tamaki, M., Matsuoka, T., Aritake, S., Suzuki, H., Kuriyama, K., Ozaki, A., Abe, Y., Enomoto, M., Tagaya, H., Mishima, K., Matsuura, M., Uchiyama, M., Lima-Pacheco, E., Davis, K., Sabourin, C., Lortie-Lussier, M., de Koninck, J., van Der Werf, Y., van Der Helm, E., Schoonheim, M., van Someren, E., Tokley, M., Ball, M., Sato, T., Ghilardi, M. F., Moisello, C., Bove, M., Busi, M., Pelosin, E., Tononi, G., Eguchi, N., Sakata, M., Urade, Y., Doe, N., Yoshihara, K., Abe, K., Manabe, Y., Iwatsuki, K., Hayashi, T., Shoji, M., Kamiya, T., Gooley, J., Brainard, G., Rajaratnam, S., Kronauer, R., Czeisler, C., Lockley, S., Phillips, A., Robinson, P., Burgess, H., Revell, V., Eastman, C., Bihari, S., Ramakrishnan, N., Camerino, D., Conway, P. M., Costa, G., Vandewalle, G., Albouy, G., Sterpenich, V., Darsaud, A., Rauchs, G., Berken, P.-Y, Balteau, E., Maquet, P., Tendero, J. A., Domenech, M. P., Isern, F. S., Martínez, C., Roure, N., Sancho, E. E., Moreno, C. R., Silva, M., Marqueze, E. C., Waage, S., Bobko, N., Chernyuk, V., Yavorskiy, Y., Saxvig, I., Sørensen, E., de Mello, M. T., Esteves, A., Teixeira, C., Bittencourt, L. R., Silva, R., Pires, M. L., Mottram, V., Middelton, B., Arendt, J., Amaral, O., Rodrigues, M., Pereira, C., Tavares, I., Baba, K., Honma, S., Honma, K.-I., Yamanaka, Y., Hashimoto, S., Tanahashi, Y., Nishide, S.-Y, Honma, K.-I, Sletten, T., Middleton, B., Lederle, K., Skene, D., Roth, T., Walsh, J., Hogben, A., Ellis, J., Archer, S., von Schantz, M., Chen, N.-H., Wang, P.-C., Chen, C.-W., Lin, Y., Shih, T.-S., Armstrong, S., Redman, J., Stephan, E., David, M., Delanaud, S., Chardon, K., Libert, J.-P., Bach, V., Telliez, F., Reid, K., Jaksa, A., Eisengart, J., Kane, P., Naylor, E., Zee, P., Viola, A. U., de Valck, E., Hofmans, J., Theuns, P., Cluydts, R., Alexander, G., Karel, M., Christina, R., Sohn, I.-K., Cho, I. H., Kim, S. J., Yu, S.-H., Kim, H., Yoo, S. Y., Koh, S.-H., Cho, S.-J., Rotenberg, L., Silva-Costa, A., Griep, R. H., Amely, T., Kennedy, G. A., Pavlis, A., Thompson, B., Pierce, R., Howard, M., Briellmann, R., Venkateswaran, S., Blunden, S., Krawczyk, E., Blake, J., Gururajan, R., Kerr, D., Matuisi, T., Iwasaki, M., Yamasita, N., Iemura, A., Ohya, T., Yanagawa, T., Misa, R., Coleman, G., Conduit, R., Duce, B., Hukins, C., Nyandaiti, Y. W., Bamaki, S., Mohammed, A., Kwajarfa, S., Veeramachaneni, S. P., Murthy, A., Wilson, A., Maul, J., Hall, G., Stick, S., Moseley, L., Gradisar, M., Kurihara, T., Yamamoto, M., Yamamoto, S., Kuranari, M., Sparks, C. B., Bartle, A., Beckert, L., Latham-Smith, F. B., Hilton, J., Whitehead, B., Gulliver, T., Salvini, A., Grahame, S., Swift, M., Laybutt, N., Sharon, D., Mack, C., Hymell, B., Perrine, B., Ideshita, K., Taira, M., Matuo, A., Furutani, M., van Dongen, H., Mott, C., Huang, J.-K., Mollicone, D. J., Mckenzie, F., Dinges, David, Barnes, M., Rochford, P., Churchward, T., O’Donoghue, F., Penzel, T., Fietze, I., Canisius, S., Bekiaris, E., Terrill, P. I., Wilson, S., Suresh, S., Cooper, D., Suzuki, T., Ouchi, K., Moriya, A., Kameyama, K., Takahashi, M., Büttner, A., Rühle, K.-H., Wang, D., Wong, K., Dungan, II, G., Grunstein, R., Davidson, P., Jones, R., Gergely, V., Mashima, K., Miyazaki, S., Tanaka, T., Okawa, M., Yamada, N., Wyner, A., Raizen, D., Galante, R., Ng, A. K., Koh, T. S., Lim, L. L., Puvanendran, K., Peiris, M., Bones, P., Roebuck, T., Ho, S., Szollosi, I., Naughton, M., Williams, G., Parsley, C., Harris, M.-A., Thornton, A., Ruehland, W., Banks, S., Arroyo, S., Carroll, K., Pilmore, J., Stewart, C., Hamilton, G., van Acker, F., Cvetkovic, D., Holland, G., Cosic, I., Tolson, J., Worsnop, C., Cresswell, P., Hart, I., Bouarab, M., Delechelle, E., Drouot, X., Acebo, C., Singh, P., Lakey, T., Schachter, L., Rand, J., Collin, H., Snyder, E., Ma, J., Svetnick, V., Deacon, S., Dana, B., Konstanze, D., Uwe, M., Ingo, F., Thomas, P., Ivar, R., Mackiewicz, M., Shockley, K., Romer, M., Zimmerman, J., Baldwin, D., Jensen, S., Churchill, G., Paigen, B., Imeri, L., Ferrari, L., Bianchi, S., Dossena, S., Garofoli, A., Mangieri, M., Tagliavini, F., Forloni, G., Chiesa, R., Pedrazzoli, M., Pereira, D., Veauny, M., Bodenmann, S., Hohoff, C., Freitag, C., Deckert, J., Rétey, J., Landolt, H.-P., Strohl, K., Price, E., Yamauchi, M., Dostal, J., Feng, P., Han, F., Havekes, R., Novati, A., Hagewoud, R., Barf, P., van Der Borght, K., van Der Zee, E., Meerlo, P., Ruby, P., Caclin, A., Boulet, S., Delpuech, C., Morlet, D., Veasey, S., Aton, S., Jha, S., Coleman, T., Seibt, J., Frank, M., Lack, L., Churches, O., Feng, S. Y. S., Cassaglia, P., Yu, V. Y. H., Walker, A. M., Kohler, M., Kennedy, D., Martin, J., van Den Heuvel, C., Lushington, K., Herron, K., Khurana, C., Sterr, A., Olivadoti, M., Toth, L., Opp, M., Dang-Vu, T., Degueldre, C., Gais, S., Dang-Vu, T. T., Desseilles, M., Philips, C., Chijavadze, E., Babilodze, M., Chkhartishvili, E., Nachkebia, N., Mchedlidze, O., Dzadzamia, S., Griffiths, R., Walker, A., Horovitz, S., Fukunaga, M., Carr, W., Picchioni, D., de Zwart, J., van Gelderen, P., Braun, A., Duyn, J., Hanlon, E. H., Faraguna, U., Vyazovskiy, V., Cirelli, C., Ocampo-Garcés, A., Ibáñez, F., López, S., Vivaldi, E., Torrealba, F., Romanowski, C. P. N., Fenzl, T., Flachskamm, C., Deussing, J., Kimura, M., Tarokh, L., van Reen, E., Dorn, H., Velluti, R., Qu, W.-M., Huang, Z.-L., Hayaishi, O., Pedemonte, M., Drexler, D., Pol-Fernández, D., Bernhardt, V., Lopez, C., Rodriguez-Servetti, Z., Romanowski, C., Polta, S., Yassouridis, A., Abe, T., Takahashi, K., Koyama, Y., Kayama, Y., Lin, J.-S., Sakai, K., Gulia, K., Karashima, A., Shimazaki, M., Katayama, N., Nakao, M., Winsky-Sommerer, R., Knapman, A., Tobler, I., Altena, E., Sanz-Arigita, E., Chang, F.-C., Lu, C.-Y., Yi, P.-L., Hsiao, Y.-Z., Lowden, A., Nilsson, J., Hillert, L., Wiholm, C., Kuster, N., Arnetz, B., Szameitat, A., Shen, S., Daurat, A., Tiberge, M., Sok, N., D’Ortho, M. P. I. A., Karasinsky, P., Kohlmeier, K., Wess, J., Leonard, C., Kristensen, M., Kalinchuk, A., Porkka-Heiskanen, T., Mccarley, R. W., Basheer, R., Aizawa, R., Sunahara, H., Abe, S.-I., Iwaki, S., Houjyou, M., Satoh, M., Suda, H., Kheirandish-Gozal, L., Gozal, D., Walker, P., Noa, A., O’Driscoll, D., Ng, M., Yang, J., Davey, M., Anderson, V., Trinder, J., Horne, R., Sands, S., Kelly, V., Sia, K., Edwards, B., Skuza, E., Davidson, M., Berger, P. H. I. L. I. P., Wilkinson, M., Sánchez-Narváez, F., Gutiérrez, R., Camacho, L., Anaya, E., García-Campos, E., Labra, A., Domínguez, G., García-Polo, L., Haro, R., Verginis, N., Nixon, G., Baumert, M., Pamula, Y., Mihai, R., Wawurszak, M., Smith, N., Yiallourou, S., Andrew Ramsden, C., Williamson, B., Blecher, G., Teng, A., Dakin, C. Y. N., Yuil, M., Harris, M., Sadasivam, S., Bennison, J., Galland, B., Dawes, P., Taylor, B., Norman, M., Edwards, N., Harrison, H., Kol, C., Sullivan, C., Valladares, E., Macey, P., Kumar, R., Woo, M., Harper, R., Alger, J., Mcnamara, D., Tang, J., Goh, A., Teoh, O. H., Chiang, W. C., Chay, O. M., Marie Salvini, A., Riben, C., Blanck, A.-S., Marklund, M., Tourneux, P., Cardot, V., Leke, A., Iqbal, S. M., (Gus) Cooper, D., Witmans, M., Rodger, K., Thevasagayam, R., El-Hakim, H., Hill, C. M., Baya, A., Bucks, R., Kirkham, F., Virues-Ortega, J., Baldeweg, T., Paul, A., Hogan, A., Goodwin, J., Silva, G., Kaemingk, K., Sherrill, D., Morgan, W., Fregosi, R., Quan, S., Evans, C., Maclean, J., Waters, K., Fitzsimmons, D., Hayward, P., Fitzgerald, D., Terrill, G., O’Connell, A., Vannan, K., Richardson, H., Poluektov, M., Levin, I., Snegodskaya, M., Kolosova, N., Geppe, N., Nixon, G. Michelle, Thompson, J., Yhan, D., Becroft, D., Clark, P., Robinson, E., Waldie, K., Wild, C., Black, P., Stone, K., Britton, W., Chaves, Claudia, Tinoco, C., Goncalves, C., Ferreira, E., Santos, H., Boloto, J., Duarte, L., Paine, S., Wright, H., Slater, A., Rosen, G., Telliez, Frédéric, Djeddi, D., Kongolo, G., Degrugilliers, L., Horton, J., Buscemi, N., Vandermeer, B., Owens, J., Klassen, T., Gordon, J., King, N., Tripp, G., Oka, Y., Suzuki, S., de Lemos, M. C., Gonzaga, F. G., Shah, M. L., Bittencourt, L., Oliveira, L. V. Franco, Elshoff, J.-P., Braun, M., Andreas, J.-O., Strauss, B., Horstmann, R., Ahrweiler, S., Goldammer, N., Wada, M., Matsumoto, N., Rahman, M. D., Xu, X.-H., Makino, Y., Hashimoto, K., Zhang, M., Sastre, J.-P., Buda, C., Anaclet, C., Ohtsu, H., Danober, L., Desos, P., Cordi, A., Roger, A., Jacquet, A., Rogez, N., Thomas, J.-Y., Krentner, M., Boutin, J., Audinot-Bouchez, V., Baumann, C., Valko, P., Uhl, M., Hersberger, M., Rupp, T., Uchiyama, N., Nakamura, N., Konishi, T., Mcgrath, P., Fujiki, N., Tokunaga, J., Iijima, S., Nishino, S., Catherine, B.-R., Lely, F., Ralf, K., Oliver, N., François, J., Francois, J., Cedric, F., Changbin, Q., Patrick, H., Homanics, G., Heussler, H., Norris, R., Pache, D., Charles, B., Mcguire, T., Shelton, J., Bonaventure, P., Kelly, L., Aluisio, L., Lovenberg, T., Atack, J., Dugovic, C., Shapiro, C., Shen, J., Trajanovic, N., Chien, J., Verma, M., Fish, V., Wheatley, J., Amis, T., Alexiou, T., Wild, J., Bjursell, A., Solin, P., Sato, S., Matsubuchi, N., Gingras, M.-A., Labrosse, M., Chevrier, É, Lageix, P., Guay, M.-C., Braun, C., Godbout, R., Fatim, E. H., Loic, D., Stephane, D., Nathalie, L., Stéphane, D., Alain, G., Wiâm, R., Koabyashi, T., Tomita, S., Ishikawa, T., Manadai, O., Arakawa, K., Siato, Y., Bassi, A., Ocampo, A., Estrada, J., Blyton, D., O’Keeffe, K., Galletly, D., Larsen, P., Amatoury, J., Bilston, L., Kairaitis, K., Stephenson, R., Chu, K., Sekiguchi, Y., Suzuki, N., Yasuda, Y., Kodama, T., Honda, Y., Hsieh, K.-C., Lai, Y.-Y., Bannai, M., Kawai, N., Amici, R., Baracchi, F., Cerri, M., Del Sindaco, E., Dentico, D., Jones, C. A., Luppi, M., Martelli, D., Perez, E., Tazaki, M., Katayose, Y., Yasuda, K., Tokuyama, K., Maddison, K., Platt, P., Kirkness, J., Ware, J. C., May, J., Rosenthal, T., Park, G., Guibert, M., Allen, R. 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Y., Serber, S. T. A. C. Y., Valladares, E. D. W. I. N., Harper, R. E. B. E. C. C. A., Harper, R. O. N. A. L. D., Puttonen, S., Härmä, M., Vahtera, J., Kivimäki, M., Lamarche, L., Hemmeter, U. M., Thum, A., Rocamora, R., Giesler, M., Haag, A., Dodel, R., Krieg, J. C., Shechter, A., L’Esperance, P., Boivin, D. B., Vu, M.-T., and Richards, H.

Published
2007
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22. Monitoring the Ex-Vivo Lung for Transplantation with 31P MRS: Extended Normothermic Perfusion, and Cold Static Perfadex

Author

Snow, J., primary, Pourfathi, M., additional, Duncan, I., additional, Profka, H., additional, Xin, Y., additional, Jin, X., additional, Ismail, M., additional, Siddiqui, S., additional, Kdlecek, S., additional, Loza, L., additional, Achekzai, T.S., additional, Hamedani, H., additional, Amzajerdian, F., additional, Sertic, F., additional, Ruppert, K., additional, Baron, R., additional, Qian, Y., additional, Unger, G., additional, Cereda, M., additional, Chatterjee, S., additional, and Rizi, R.R., additional

Published
2021
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28. Clopidogrel pre-treatment is associated with reduced in-hospital mortality in primary percutaneous coronary intervention for acute ST-elevation myocardial infarction

Author

Dörler, Jakob, Edlinger, Michael, Alber, Hannes F., Altenberger, Johann, Benzer, Werner, Grimm, Georg, Huber, Kurt, Pachinger, Otmar, Schuchlenz, Herwig, Siostrzonek, Peter, Zenker, Gerald, Weidinger, Franz, Altenberger, J., Pichler, M., Benzer, W., Bonner, G., Weidinger, F., Brunner, T., Gaul, G., Gratze, F., Zenker, G., Juhasz, M., Silberbauer, H., Kerschner, K., Leisch, F., Krappinger, H., Wimmer, H., Laubreiter, K., Grimm, G., Siostrzonek, P., Mayr, H., Neunteufl, T., Maurer, G., Norman, G., Weber, H., Pachinger, O., Dörler, J., Alber, H. F., Roithinger, F. X., Unger, G., Huber, K., Wallner, H., Weihs, W., and Schuchlenz, H.

Published
2011
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29. Comprehensive Assessment of Lung Injury Using Integrated Hyperpolarized MRI: A Feasibility Study

Author

Pourfathi, M., primary, Hamedani, H., additional, Xin, Y., additional, Kadlecek, S., additional, Duncan, I., additional, Cereda, M., additional, Siddiqui, S., additional, Profka, H., additional, Loza, L., additional, Amzajerdian, F., additional, Achekzai, T.S., additional, Ruppert, K., additional, Rosalino, M., additional, Sertic, F., additional, Baron, R., additional, Snow, J., additional, Qian, Y., additional, Unger, G., additional, Chatterjee, S., additional, and Rizi, R.R., additional

Published
2020
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30. Towards Clinical Translation of Hyperpolarized13C MRI for Metabolic Imaging of Acute Lung Injury

Author

Pourfathi, M., primary, Hamedani, H., additional, Xin, Y., additional, Rosalino, M., additional, Kadlecek, S., additional, Duncan, I., additional, Cereda, M., additional, Siddiqui, S., additional, Proka, H., additional, Loza, L., additional, Amzajerdian, F., additional, Achekzai, T.S., additional, Ruppert, K., additional, Sertic, F., additional, Baron, R., additional, Snow, J., additional, Qian, Y., additional, Unger, G., additional, Chatterjee, S., additional, and Rizi, R.R., additional

Published
2020
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35. Earthquake-induced deformation structures in glacial sediments—evidence on fault reactivation and instability at the Vaalajärvi fault in northern Fennoscandia

Author

Ojala, A. E. K., Mattila, J., Middleton, M., Ruskeeniemi, T., Palmu, J.-P., Nordbäck, N., (0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., (0000-0001-6200-2704) Zimmermann, R., (0000-0002-5916-155X) Andreani, L., (0000-0001-5696-8721) Jackisch, R., Unger, G., (0000-0002-4383-473X) Gloaguen, R., Sutinen, R., Ojala, A. E. K., Mattila, J., Middleton, M., Ruskeeniemi, T., Palmu, J.-P., Nordbäck, N., (0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., (0000-0001-6200-2704) Zimmermann, R., (0000-0002-5916-155X) Andreani, L., (0000-0001-5696-8721) Jackisch, R., Unger, G., (0000-0002-4383-473X) Gloaguen, R., and Sutinen, R.

Abstract

Late and postglacial reverse faults and seismically-induced landslides are characteristic features of deglaciated terrain in the northern Fennoscandia. The main focus of this study was to investigate the rupturing history of the reverse Vaalajärvi fault complex in Sodankylä, Finland, based on remote sensing, on-site geophysics and sedimentology in excavations trenched across the faulted terrain. In addition to the previously known NNW–SSE-trending Vaalajärvi segment, we discovered six new SW–NE-trending fault segments that probably belong to the same Vaalajärvi ‘postglacial’ fault complex. Our analysis indicate that the Vaalajärvi fault segment was triggered by stress change caused by ruptures on the surrounding SW–NE-trending reverse faults. In total, at least two to three slip events have taken place in different segments of the Vaalajärvi complex since the Early Weichselian with the most recent event(s) being postglacial in timing. By using the scaling laws of fault surface rupture length and offset and under different scenarios of which segments or systems ruptured in a single or separate event, we estimate that the Vaalajärvi complex potentially hosted an earthquake that ranged between Mw ≈ 6.7–7.0. This magnitude is comparable to the landslide-inferred magnitudes in the Vaalajärvi area.

Published
2020

36. Bewertung der Einkommensverteilung

Author

Hadler, P., Lenzner, T., Neuert, C., Unger, G. M., Steins, P., Quint, F., and Reisepatt, N.

Abstract

Das Team der Skalenentwicklung und -dokumentation von GESIS möchte zusammen mit dem Sozioökonomischen Panel (SOEP) eine Skala zur Gerechtigkeitsbewertung der Einkommensverteilung entwickeln. Als Vorlage dient eine überarbeitete Version einer Skala, die für die 9. Runde des European Social Survey (ESS) entwickelt wurde. Bei der Instrumentenentwicklung stellen sich mehrere Fragen, darunter zur Gestaltung der Instruktion, der Frageformulierung und Skalenbeschriftung, der Anzahl an Skalenpunkten und abgefragten Einkommensgruppen, sowie der Nennung von Beispielberufen und Perzentilsätzen zur Größe der jeweiligen Einkommensgruppen. Zuletzt interessieren auch die Gründe für die Gerechtigkeitsbewertung der Einkommensunterschiede., GESIS Projektbericht, Self-administered questionnaire: Web-based, Kognitiver Pretest, Quotenauswahl. Die Auswahl der Testpersonen erfolgte über Kreuzquoten nach Alter (16-29 Jahre; 30-49 Jahre, 50-65 Jahre), Bildung (mit/ohne Hochschulzugangsberechtigung) und Geschlecht: 2 Frauen (davon 1 Nicht-Muttersprachlerin) und 2 Männer, 16-29 Jahre, mit Abitur 1 Mann (Deutsch als zweite Muttersprache), 16-29 Jahre, ohne Abitur 1 Frau (Nicht-Muttersprachlerin) und 2 Männer, 30-49 Jahre, mit Abitur 2 Frauen und 2 Männer, 30-49 Jahre, ohne Abitur 2 Frauen und 1 Mann, 50-65 Jahre, mit Abitur 3 Frauen (davon 1 Nicht-Muttersprachlerin) und 2 Männer, 50-65 Jahre, ohne Abitur

Published
2019
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37. PIAAC Cycle 2 - Anschreiben Feldtest: Kognitiver Pretest

Author

Lenzner, T., Hadler, P., Neuert, C., Unger, G. -M., Steins, P., Quint, F., Reisepatt, N., and GESIS - Leibniz-Institut für Sozialwissenschaften

Subjects
Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Teilnehmer, Motivation, Sozialwissenschaften, Soziologie, Umfrageforschung, Befragung, Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods, survey research, pretest, ddc:300, survey, Social sciences, sociology, anthropology, Programme for the International Assessment of Adult Competencies (PIAAC), participant
Published
2019

40. Hyperspectral outcrop models for palaeoseismic studies

Author

(0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., (0000-0001-6200-2704) Zimmermann, R., (0000-0002-5916-155X) Andreani, L., Tusa, L., (0000-0003-2727-2375) Pospiech, S., (0000-0001-5696-8721) Jackisch, R., Unger, G., Khodadadzadeh, M., (0000-0003-1203-741X) Ghamisi, P., Middleton, M., Ojala, A., Mattila, J., Nordbäck, N., Palmu, J.-P., Ruskeeniemi, T., Sutinen, R., Tiljander, M., Heikkilä, P., (0000-0002-4383-473X) Gloaguen, R., (0000-0003-1512-5511) Kirsch, M., (0000-0001-8464-2331) Lorenz, S., (0000-0001-6200-2704) Zimmermann, R., (0000-0002-5916-155X) Andreani, L., Tusa, L., (0000-0003-2727-2375) Pospiech, S., (0000-0001-5696-8721) Jackisch, R., Unger, G., Khodadadzadeh, M., (0000-0003-1203-741X) Ghamisi, P., Middleton, M., Ojala, A., Mattila, J., Nordbäck, N., Palmu, J.-P., Ruskeeniemi, T., Sutinen, R., Tiljander, M., Heikkilä, P., and (0000-0002-4383-473X) Gloaguen, R.

Abstract

The traditional study of palaeoseismic trenches, involving logging, stratigraphic and structural interpretation, can be time consuming and affected by biases and inaccuracies. To overcome these limitations, a new workflow is presented that integrates infrared hyperspectral and photogrammetric data to support field-based palaeoseismic observations. As a case study, this method is applied on two palaeoseismic trenches excavated across a post-glacial fault scarp in northern Finnish Lapland. The hyperspectral imagery (HSI) is geometrically and radiometrically corrected, processed using established image processing algorithms and machine learning approaches, and co-registered to a structure-from-motion point cloud. HSI-enhanced virtual outcrop models are a useful complement to palaeoseismic field studies as they not only provide an intuitive visualisation of the outcrop and a versatile data archive, but also enable an unbiased assessment of the mineralogical composition of lithologic units and a semi-automatic delineation of contacts and deformational structures in a 3D virtual environment.

Published
2019

41. Measuring viability selection from prospective cohort mortality studies A case study in maritime pine

Author

Robledo-Arnuncio, Juan José [0000-0002-3909-8928], Robledo-Arnuncio, Juan José, Unger, G. M., Robledo-Arnuncio, Juan José [0000-0002-3909-8928], Robledo-Arnuncio, Juan José, and Unger, G. M.

Abstract

By changing the genetic background available for selection at subsequent life stages, stage-specific selection can define adaptive potential across the life cycle. We propose and evaluate here a neutrality test and a Bayesian method to infer stage-specific viability selection coefficients using sequential random genotypic samples drawn from a longitudinal cohort mortality study, within a generation. The approach is suitable for investigating selective mortality in large natural or experimental cohorts of any organism in which individual tagging and tracking are unfeasible. Numerical simulation results indicate that the method can discriminate loci under strong viability selection, and provided samples are large, yield accurate estimates of the corresponding selection coefficients. Genotypic frequency changes are largely driven by sampling noise under weak selection, however, compromising inference in that case. We apply the proposed methods to analyze viability selection operating at early recruitment stages in a natural maritime pine (Pinus pinaster Ait.) population. We measured temporal genotypic frequency changes at 384 candidate-gene SNP loci among seedlings sampled from the time of emergence in autumn until the summer of the following year, a period with high elimination rates. We detected five loci undergoing allele frequency changes larger than expected from stochastic mortality and sampling, with putative functions that could influence survival at early seedling stages. Our results illustrate how new statistical and sampling schemes can be used to conduct genomic scans of contemporary selection on specific life stages.

Published
2019

42. Potential of 3D hyperspectral data for mineral exploration: an example from the Paleoproterozoic Mârmorilik Pb-Zn- deposit (Central-West Greenland)

Author

Unger, G., Zimmermann, R., Kirsch, M., Sørensen, E.-V., Guarnieri, P., and Gloaguen, R.

Abstract

Due to modern society’s high demand for raw materials and the gradual depletion of low-cost mineral ores, mineral exploration campaigns and geological mapping increasingly require the development of sustainable, cost-efficient and easily applicable methods. Sustainability is a critical issue especially for exploration in Arctic regions with their unique and sensitive ecosystems. This study validates the potential of a newly developed multi-source and multi-scale remote sensing approach and will showcase how spectral imaging supports less invasive geological exploration work. Our workflow brings traditional 2D hyperspectral data into the third dimension with the help of SfM-MVS (Structure from Motion-Multi View Stereo) derived pointclouds, which provide a basis for evaluation of material properties and geological structures in a geometrically accurate virtual environment. This approach can be used to guide the geologist in the field and thus decreases the geologist’s personal risk in the field, is less invasive than traditional mapping and may even reduce the number of required boreholes. The case study area is located in Central West Greenland and hosts the Black Angel Pb-Zn deposit. Central West Greenland is characterized by Arctic climate conditions and alpine terrain, which prevents the growth of vegetation, but makes access for field campaigns extremely difficult. Thus, a ground-based hyperspectral imaging system was employed to highlight small mineralogical differences in rocks that cannot be recognised in traditional RGB images and associated photogeological models. Based on well-defined absorption features of the carbonates within the Shortwave-Infrared (SWIR; 970–2500 nm), the marbles of the Paleoproterozoic Mârmorilik Formation can be divided into calcite- and dolomite-rich units. As a result, previously unknown deformation structures (faults and folds) and lithological boundaries within the apparently homogeneous marbles are clearly revealed. Additional mineral mapping procedures such as Spectral Feature Fitting highlight gypsum occurrences related to deformation and ore emplacement. The lithological boundaries and tectonic structures extracted from the hyperspectral 3D surface model are then extrapolated into the subsurface using existing well data. The proposed workflow is fast, efficient, and fully validated and should be considered as a viable alternative to traditional techniques in exploration mapping.

Published
2018

43. WHO Expert Committee on Biological Standardization Sixty-seventh report

Author

Cichutek, K., Epstein, J., Griffiths, E., Hindawi, S., Jivapaisarnpong, T., Klein, H., Minor, P., Moftah, F., Reddy, V.R., Slamet, L.S., Strengers, P., Sohn, Y., Wang, J., Baylis, S., Gruber, M., Morris, C., Powell, M., Reinhardt, J., Sheets, R., Southern, J., Sun, Y., Udell, M., Besselaar, A.M.H.P. van den, Waddell, A.L., Williams, D., Agbanyo, F., Almond, N., Amsler, L., Boyle, J., Bristow, A., Calam, D., Cano, F., Castro, H., Chhabra, R., Chudy, M., Cooper, G., Cowper, B., Morales, R.D., Efstahiou, S., Elmgren, L., Fakhrzadeh, S., Ferguson, J., Grant, K., Gray, E., Hamaguchi, I., Hou, J., Hilger, A., Ilonze, C.C., Jadoonkittinan, S., Jariyapan, W., Jia, H., Kato, A., Kim, B., Kim, J., Kondo, T., Lee, C., Lelie, N., Longstaff, C., Martin, J., Mawas, F., Meyer, H., Mogtari, H., Nur, N.A.M., Ochiai, M., Oh, H., Osipova, I., Oualikene-Gonin, W., Padley, D., Page, M., Phumiamorn, S., Prawahju, E.I., Prior, S., Prosser, I., Raut, S., Reissinger, A., Rios, M., Rodgers, J., Sainte-Marie, I., Schaerer, C., Schneider, C., Smith, G., Stahl, D., Stickings, P., Thelwell, C., Thorpe, R., Tsindimeev, A., Unger, G., Farahani, A.V., Visagie, M., Wadhwa, M., Weir, J., Wilkinson, D., Xu, M., Yakunin, D., and WHO Expert Comm Biological

Published
2017

44. 1047 nm laser diode master oscillator Nd:YLF power amplifier laser system

Author

Yu, A. W, Krainak, M. A, and Unger, G. L

Subjects
Lasers And Masers
Abstract

A master oscillator power amplifier (MOPA) laser transmitter system at 1047 nm wavelength using a semiconductor laser diode and a diode pumped solid state (Nd:YLF) laser (DPSSL) amplifier is described. A small signal gain of 23 dB, a near diffraction limited beam, 1 Gbit/s modulation rates and greater than 0.6 W average power are achieved. This MOPA laser has the advantage of amplifying the modulation signal from the laser diode master oscillator (MO) with no signal degradation.

Published
1993

45. Comparison of direct detection 50 Mbps Q-PPM receiver performance for AlGaAs and Nd doped laser transmitters

Author

Unger, G. L, Krainak, M. A, and Sun, X

Subjects
Electronics And Electrical Engineering
Abstract

We present a theoretical and experimental performance comparison of a free space direct detection 50 Mbps quaternary pulse position modulation (Q-PPM) communications receiver for Nd:YAG and AlGaAs laser transmitters. Using silicon avalanche photodiodes (APD), we achieved a receiver sensitivity of 2.6 nW (264 incident photons/bit) at 1060 nm and 0.77 nW (59 incident photons/bit) at 810 nm (bit error rate (BER) of 10 exp -6). This is the best sensitivity ever reported for a direct detection receiver at 1060 nm. The experimental results were in good agreement with theoretical predictions.

Published
1992

46. The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration

Author

Gloaguen, R., Ghamisi, P., Lorenz, S., Kirsch, M., Zimmermann, R., Booysen, R., Andreani, L., Jackisch, R., Hermann, E., Tusa, L., Unger, G., Contreras, C., Khodadadzadeh, M., Fuchs, M., Gloaguen, R., Ghamisi, P., Lorenz, S., Kirsch, M., Zimmermann, R., Booysen, R., Andreani, L., Jackisch, R., Hermann, E., Tusa, L., Unger, G., Contreras, C., Khodadadzadeh, M., and Fuchs, M.

Abstract

The high demand for raw materials in our post-industrial societies contrasts the increasing difficulties to find new mineral deposits. In Europe, accessible and high-grade deposits are mostly exhausted or currently mined. Hence, future exploration must focus on the remaining, more remote locations or penetrate much deeper into the Earth's crust. Sustaining mining activities in Europe would allow the development of key technologies but also sustainable and ethical production of technological metals. Thus, we suggest to focus research on advances in multi-scale and multi-sensor remote sensing-based Earth integration techniques. The scale should range from satellite to air- and drone-borne systems and include ground validation. Multi-sensor downscaling methods involving SAR and optical data are particularly promising. We demonstrate that the integration with other sensors and/or measures such as geophysical/geochemical data as well as non-conventional remote sensing features such as textures and geometries are of interest. Thus, ultimately, our objective is to boost the competitiveness, growth, sustainability and attractiveness of the raw material sector in Europe. While we focus on the raw material sector as it is currently of strategic importance, the required methods are transferable to most environmental studies.

Published
2018

47. 3D modelling of the Epembe (Namibia) Nb-Ta-P-(LREE) carbonatite deposit: new insights into geometry related to rare metal enrichment

Author

Unger, G., (0000-0001-6200-2704) Zimmermann, R., (0000-0002-4383-473X) Gloaguen, R., Unger, G., (0000-0001-6200-2704) Zimmermann, R., and (0000-0002-4383-473X) Gloaguen, R.

Abstract

Geological 3D modelling delivers essential information on distribution of enrichment zones and structures in (complex) mineral deposits and fosters a better guidance to subsequent exploration stages. The Paleoproterozoic Epembe carbonatite complex showcases the close relation between enrichment of specific elements (Nb, Ta, P, TREE+Y) and shear zones by structural modelling combined with geochemical interpolation. Three-dimensional fault surfaces based on structural field observations, geological maps, cross-sections and drill-hole data are visualised. The model shows a complex, dextral transpressive fault system. Three dimensional interpolation of geochemical data demonstrates enrichment of Nb, Ta, P and TREE+Y in small isolated, lens shaped high-grade zones in close spatial distance to faults. Based on various indicators (e.g., oscillating variograms, monazite rims around the apatite) and field evidence, we see rather evidence for enrichment during hydrothermal (re-)mobilisation than due to magmatic differentiation related to the formation of the alkaline system. This is further supported by geostatistical analysis of three-dimensional distribution of Nb, Ta, P and LREE with respect to discrete shear zones.

Published
2018

48. Radiometric Correction and 3D Integration of Long-Range Ground-based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops

Author

Lorenz, S., Salehi, S., Kirsch, M., Zimmermann, R., Unger, G., Sørensen, E. V., Gloaguen, R., Lorenz, S., Salehi, S., Kirsch, M., Zimmermann, R., Unger, G., Sørensen, E. V., and Gloaguen, R.

Abstract

Recently, ground-based hyperspectral imaging has come to the fore, supporting the arduous task of mapping near-vertical, difficult-to-access geological outcrops. The application of outcrop sensing within a range of one to several hundred meters, including geometric corrections and integration with accurate terrestrial laser scanning models, is already developing rapidly. However, there are only very few studies dealing with ground-based imaging of distant (i.e., in the range of several kilometres) targets such as mountain ridges, cliffs, and pit walls. In particular the extreme influence of atmospheric effects and topography-induced illumination differences have remained an unmet challenge on the spectral data. Those effects cannot be corrected by means of common correction tools for nadir satellite- or airborne data. Thus, this article presents an adapted workflow to overcome the challenges of long-range outcrop sensing, including straightforward atmospheric and topographic corrections. Using two datasets with different characteristics, we demonstrate the application of the workflow and highlight the importance of the presented corrections for a reliable geological interpretation. The achieved spectral mapping products are integrated with 3D photogrammetric data to create large-scale now-called “hyperclouds”, i.e. geometrically correct representations of the hyperspectral datacube. The presented workflow opens up a new range of application possibilities of hyperspectral imagery by significantly enlarging the scale of ground-based measurements.

Published
2018

49. Ein Mikrorechner für die Eingliederung eines Analysenautomaten in Dezentral Organisierte Laborautomatisierungssysteme

Author

Dietsch, H., Schütz, W., Unger, G., Koller, S., editor, Reichertz, P. L., editor, Überla, K., editor, Anderson, J., editor, Goos, G., editor, Gremy, F., editor, Jesdinsky, H.-J., editor, Lange, H.-J., editor, Schneider, B., editor, Segmüller, G., editor, Wagner, G., editor, Horbach, Lothar, editor, and Duhme, Claus, editor

Published
1981
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