- Multi- und hyperspektrale Fernerkundung
- Feld- und Laborspektrometrie
- Exploration anthropogener Lagerstätten
- Fernerkundung im Mine-Life-Cycle
Dr. rer. nat. Michael Denk
Ehemalige & Emeriti Hinweis: Dieses Profil gehört zu einer ehemaligen Person und könnte nicht mehr aktuelle Informationen enthalten.
MD : Dr. rer. nat. Michael Denk (Ehem./Emer.)
Aufgabengebiete & Verantwortlichkeiten
Wissenschaftlicher Mitarbeiter Abteilung: Geoökologie
Kontaktmöglichkeiten (Denk, Michael)
Sprechzeiten: nach Vereinbarung
Forschung
Vita
- seit 08/2021
Wissenschaftlicher Mitarbeiter im Fachgebiet Geoökologie, Institut für Geowissenschaften und Geographie, Martin-Luther-Universität Halle-Wittenberg - 07/2018
Promotion (Dr. rer. nat.) zum Thema „Qualitative and quantitative spectral characterisation of iron- and steelworks by-products: combining information from the visible light to the longwave infrared” - 08/2015 – 07/2021
Wissenschaftlicher Mitarbeiter im Fachgebiet Geofernerkundung, Institut für Geowissenschaften und Geographie, Martin-Luther-Universität Halle-Wittenberg - 08/2012 – 07/2015
Wissenschaftlicher Mitarbeiter im BMBF-Verbundprojekt „REStrateGIS“, Institut für Geowissenschaften und Geographie, MLU - 08/2011 – 07/2012
Stipendiat gefördert durch die Graduiertenförderung des Landes Sachsen-Anhalt - 12/2010
Verteidigung der Diplomarbeit „Reflexionsspektrometrische Inventarisierung mineralischer Oberflächen und sekundärer Mineralneubildungen in der Bergbaufolgelandschaft bei Teutschenthal“ - 10/2003 – 05/2011
Studium der Geographie (Hauptfach), Geologie und Bodenkunde (Nebenfächer) an der Martin-Luther-Universität Halle-Wittenberg
Publikationen
2355391MDLREVTXPeerReviewDenk, Michael 1american-journal-of-plant-sciences50datedesc1 Denk, M. 9375https://geo.uni-halle.de/wp-content/plugins/zotpress/
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1
Mammadov, E., Denk, M., Mamedov, A.I. and Glaesser, C. (2024) Predicting Soil Properties for Agricultural Land in the Caucasus Mountains Using Mid-Infrared Spectroscopy. Land, 13, 154. https://doi.org/10.3390/land13020154.
1
Tepanosyan, G., Muradyan, V., Tepanosyan, G., Avetisyan, R., Asmaryan, S., Sahakyan, L., Denk, M. and Gläßer, C. (2023) Exploring Relationship of Soil PTE Geochemical and “VIS-NIR Spectroscopy” Patterns near Cu–Mo Mine (Armenia). Environmental Pollution. https://doi.org/https://doi.org/10.1016/j.envpol.2023.121180.
1
Ogen, Y., Denk, M., Glaesser, C. and Eichstaedt, H. (2022) A Novel Method for Predicting the Geochemical Composition of Tailings with Laboratory Field and Hyperspectral Airborne Data Using a Regression and Classification-Based Approach. European Journal of Remote Sensing, 55, 453–470. https://doi.org/10.1080/22797254.2022.2104173.
1
Mammadov, E., Denk, M., Riedel, F., Kaźmierowski, C., Lewinska, K., Łukowiak, R., Grzebisz, W., Mamedov, A.I. and Glaesser, C. (2022) Determination of Mehlich 3 Extractable Elements with Visible and Near Infrared Spectroscopy in a Mountainous Agricultural Land, the Caucasus Mountains. Land, 11, 363. https://doi.org/10.3390/land11030363.
1
Ogen, Y., Denk, M., Glaesser, C., Eichstaedt, H., Kahnt, R., Loeser, R., Suppes, R., Chimeddorj, M., Tsedenbaljir, T., Alyeksandr, U. and Oyunbuyan, T. (2021) Quantification of the Spectral Variability of Ore-Bearing Granodiorite under Supervised and Semisupervised Conditions: An Upscaling Approach. Journal of Spectroscopy, 2021, e2580827. https://doi.org/10.1155/2021/2580827.
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2355391MDLREVTXConferencePaperDenk, Michael 1american-journal-of-plant-sciences50datedesc1 Denk, M. 9375https://geo.uni-halle.de/wp-content/plugins/zotpress/
2355391MDLREVTXPresentationDenk, Michael 1american-journal-of-plant-sciences50datedesc1 Denk, M. 9375https://geo.uni-halle.de/wp-content/plugins/zotpress/
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Denk, M. (2022, December 11) Assessing the Composition of Porphyry Copper Tailings Using Visible Light to Longwave Infrared Reflectance Spectroscopy. Poster, Enschede.
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Ogen, Y. (2022, December 11) Identifying Copper Hot Spots in the Subsurface of an Operational Tailing’s Facility Using Landsat Time-Series Analysis. Presentation, Enschede.
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Denk, M. (2022, June 22) Exploring Porphyry Copper Tailings With Visible Light To Long Wave Infrared Reflectance Spectroscopy - A Case Study In Erdenet, Mongolia. Presentation, Potsdam.
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Denk, M. (2022, June 22) DETECTING SOIL ORGANIC CARBON IN AGRICULTURAL SOILS ADJACENT TO MINING AREA USING PROXIMAL SENSING SPECTROSCOPY. Poster, Potsdam.
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Ogen, Y. (2022, June 22) Utilizing Lidar Intensity Data to Improve Copper and Molybdenum Prediction Models in a High-Wetness Environment. Presentation, Potsdam.
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Ogen, Y., Denk, M., Gläßer, C. and Eichstaedt, H. (2021, 12.-14.12) A Novel Method For Predicting The Geochemical Composition Of Tailings With Laboratory Field And Hyperspectral Airborne Data Using Regression And Classification-Based Approach. Talk, London.
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Tepanosyan, G., Tepanosyan, G., Muradyan, V., Asmaryan, S., Sahakyan, L., Denk, M. and Gläßer, C. (2021, 06.-10.06) Detecting Potentially Toxic Elements In Agricultural Soils Adjacent To Mining Area Of Kajaran, Armenia Using VIS-NIR Spectroscopy. Talk, Warsaw.
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