Peer-Reviewed Articles

Peer-Reviewed Articles. (For more papers see research projects or hier)

Vohland, M., Jung. A. 2020: Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences. Remote Sensing, 12(18), 2962. DOI: 10.3390/rs12182962

Sipos, L., Boros, I. F., Csambalik, L., Székely, G., Jung, A., Balázs, L. 2020: Horticultural lighting system optimalization: A review. Scientia Horticulturae273, 109631. DOI: 10.1016/j.scienta.2020.109631

Seidel, M., Hutengs, Ch., Oertel, F., Schwefel, D., Jung, A., Vohland, M. 2020: Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes. Remote Sensing,12(11), 1745. DOI: 10.3390/rs12111745

Lausch, A.; Baade, J.; Bannehr, L.; Borg, E.; Bumberger, J.; Chabrilliat, S.; Dietrich, P.; Gerighausen, H.; Glässer, C.; Hacker, J.M.; Haase, D.; Jagdhuber, T.; Jany, S.; Jung, A.; Karnieli, A.; Kraemer, R.; Makki, M.; Mielke, C.; Möller, M.; Mollenhauer, H.; Montzka, C.; Pause, M.; Rogass, C.; Rozenstein, O.; Schmullius, C.; Schrodt, F.; Schrön, M.; Schulz, K.; Schütze, C.; Schweitzer, C.; Selsam, P.; Skidmore, A.K.; Spengler, D.; Thiel, C.; Truckenbrodt, S.C.; Vohland, M.; Wagner, R.; Weber, U.; Werban, U.; Wollschläger, U.; Zacharias, S.; Schaepman, M.E. 2019: Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics. Remote Sensing 11. pp. 2356. DOI:10.3390/rs11202356

A. Lausch, O. Bastian, S. Klotz, P. J Leitão, A. Jung, D. Rocchini, M. E Schaepman, A.K Skidmore, L. Tischendorf, S. Knapp. 2018: Understanding and assessing vegetation health by in situ species and remote-sensing approaches. Methods in Ecology and Evolution 9: pp. 1799-1809. DOI: 10.1111/2041-210X.13057

A. Lausch, E. Borg, J. Bumberger, P. Dietrich, M. Heurich, A. Huth, A. Jung, R. Klenke, S. Knapp, H. Mollenhauer, H. Paasche, H. Paulheim, M. Pause, C. Schweitzer, Ch. Schmulius, J.Settele, A. K Skidmore, M. Wegmann, S. Zacharias, T. Kirsten, M. E Schaepman. 2018: Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sensing 10(7) pp. 1120-1172. DOI:10.3390/rs10071120

Hutengs, C., Ludwig, B., Jung, A., Eisele, A. and Vohland, M., 2018: Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. Sensors18(4), p.993. DOI::10.3390/s18040993

Nagy, A. Z., Jung, A., Varga, Zs., Kátay, Gy., Ádám, A. L. 2017: Effect of Artificial Light Conditions on Local and Systemic Resistance Response of Tobacco to TMV Infection, Notulae Botanicae Horti Agrobotanici Cluj-Napoca45(1) pp. 270-275., DOI: 10.15835/nbha45110751

Götze, C., Gerstmann, H., Gläßer, C., Jung, A. 2017: An approach for the classification of pioneer vegetation based on species-specific phenological patterns using laboratory spectrometric measurements. Physical Geography, 38(6), 524-540. DOI:10.1080/02723646.2017.1306672

Götze, C., Gläßer, C., Jung, A. 2016: Detecting heavy metal pollution of floodplain vegetation in a pot experiment using reflectance spectroscopy. International Journal of River Basin Management, 14(4), 499-507. DOI:10.1080/15715124.2016.1205077

Lausch, A., Bannehr, L., Beckmann, M., Boehm, C., Feilhauer, H., Hacker, J., M., Heurich, M., Jung, A., Klenke, R., Neumann, C., Pause, M., Rocchini, D., Schaepman, M., E., Schmidtlein, S., Schulz, K., Selsam,P., Settele, J., Skidmore, A., K., Cord, A., F. 2016: Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecological Indicators, 70, 317-339. DOI:10.1016/j.ecolind.2016.06.022

Pause, M., Schweitzer, C., Rosenthal, M., Keuck,V., Bumberger, J., Dietrich, P., Heurich, M., Jung, A., Lausch, A. 2016: In-Situ/ Remote Sensing Integration to Assess Forest Health – A Review, Remote Sensing, 8(6), 471. DOI:10.3390/rs8060471

Jung, A., Vohland, M., Thiele-Bruhn, S. 2015: Use of a Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data, Remote Sensing, 7(9), 11434-11448. DOI:10.3390/rs70911434 

Bareth, G., Aasen, H., Bendig, J., Gnyp, M. L., Bolten, A., Jung, A., Michels, R., Soukkamäki, J. 2015: Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements, Photogrammetrie – Fernerkundung – Geoinformation, 1, 69-79. DOI:10.1127/pfg/2015/0256

Jung, A., Vohland, M. 2014: Snapshot Hyperspectral Imaging for Soil Diagnostics – Results of a Case Study in the Spectral Laboratory, PFG, 6, 0511-0522.
DOI: 10.1127/pfg/2014/0242

Jung, A., Götze, C., Gläßer, C. 2012: Overview of Experimental Setups in Spectroscopic Laboratory Measurements – the SpecTour Project. PFG, 4, 0433-0442. DOI:

Jung, A., Götze, C., Gläßer, C. 2011: A Practical Post-Correction Method for Spectral Libraries. RS & GIS, 2, 4-12. Link

Jung, A., Götze, C., Gläßer, C. 2010: White-reference Based Post-correction Method for Multi-source Spectral Libraries. PFG, 5, 361-368. DOI:10.1127/1432-8364/2010/0062

Waser, L.T., Klonus, S., Ehlers, M., Küchler, M., Jung, A. 2010: 
Potential of Digital Sensors for Land Cover and Tree Species Classifications – A Case Study in the Framework of the DGPF-Project. Photogrammetrie-Fernerkundung-Geoinformation (PFG), 2, 141-156. DOI: 10.1127/1432-8364/2010/0046

Götze, C.; Jung, A., Merbach, I., Wennrich, R., Gläßer, C. 2010: Spectrometric analyses in comparison to the physiological condition of heavy metal stressed floodplain vegetation in a standardised experiment. Central European Journal of Geosciences, 2(2), 132-137. DOI: 10.2478/v10085-010-0002-y

Jung, A. Tőkei, L., Kardeván, P. 2007: Application of airborne hyperspectral and thermal images to analyse urban microclimate. Applied Ecology and Environmental Research. 5(1), 165-175. Link

Jung, A., Kardevan, P., Tőkei, L. 2006: Hyperspectral Technology in Vegetation Analysis. Progress in Agricultural Engineering Sciences 2(1), 93-115. DOI: 10.1556/Progress.2.2006.1.5

Jung, A., Kardeván, P., Tőkei, L. 2005: Detection of urban effect on vegetation in a less build-up hungarian city by hyperspectral remote sensing, Physics and Chemistry of the Earth, 30, 255–259. DOI: 10.1016/j.pce.2004.08.041

Nagy, Zs., Jung, A. 2005: Antropogenetic impact study on sub-basin of Mogyorod brook, Hungary, Physics and Chemistry of the Earth, 30, 588–597. DOI: 10.1016/j.pce.2005.07.012

Kardeván, P., Reisinger, P., Tamás, J., Jung, A. 2005: Remote sensing of common ragweed. Part I. Enhancing classification effectivity of remote sense pictures by using DGPS for representative spectra of Ambrosia artemisiifolia L., Hungarian Weed Research and Technology, 6 (2), 53–67. Link

Tőkei, L., Dunkel, Z., Jung, A. 2004: A new method for determining water uptake in elderberry plantation , Physics and Chemistry of the Earth, 30, 245–248. DOI: 10.1016/j.pce.2004.08.040

Kardeván, P., Jung, A.,  Reisinger, P., Nagy, S. 2004: Determining the reflectance spectra of common ragweed (Ambrosia artemisiifolia L) by field measurements, Hungarian Weed Research and Technology, 5 (1), 15–31.

Schwierz, A., Jung, A. 2000: Fleischindustrie muss sich auf veränderte Konsumentenwünsche einstellen. ZMP-Osteuropa Agrarmärkteaktuell, 19, 4-5.

Jung, A., Schwierz, A.  2000: Obst- und Gemüseverarbeitung in Ungarn. Obst-, Gemüse- und Kartoffelverarbeitung, 85 (4), 188-189.

Other scientific works

Wandrowski, A., Kollat-Palenga, I., Fuhrmann, F., Jung, A. (Ed.) 2000: 1.Workshop „Ökologisches Bauen” Berlin–Budapest,Berlin: ISPA–HU, ISBN: 3–934026–01–X,

Jung, A. 2004: Application of hyperspectral remote sensing technology for environmental impact assessment (in Hungarian). Diploma thesis (Surveying and Geoinformatics Post-Graduate Program) at the Budapest University of Technology and Economics Faculty of Civil Engineering Department of Geodesy

Jung, A. 2006: Application of spectral information in urban climate research (in Hungarian). PhD Thesis. Corvinus University of Budapest. Doctoral council of life sciences. Degree number: PhD-1/2006, grade of degree: summa cum laude. Link 1 Link 2