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Dr. rer. nat. Andreas Bolten

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Dr. rer. nat. Andreas Bolten

Südbau, Raum 2.06

Otto-Fischer-Straße 4
Südbau, Raum 2.06
50674 Köln

Telefon +49-(0)221-470-3735
Fax +49-(0)221-470-2280
E-Mail andreas.bolten(at)uni-koeln.de


ACACIA

Collaborative Research Center 806

Sprechstunde:
Mi.: 13-14.00 Uhr (in der vorlesungsfreien Zeit nur nach Vereinbarung)

Geräteausleihe (Anthropogeographie)

 

 


Position

Ph.D.

Akademischer Lebenslauf

1996-2002: Study of Geography and Physics, University of CologneFirst State Examination: 06/2002Examination Thesis: Clusteranalyse von Sanddaten aus der Großen Sandsee (Ägypten) und anderen Ergs.

6/2002-12/2007 (end of research centre): Team Member SFB 389

"GIS-based Atlas of Holocene Land Use Potential for Selected Research Areas”, subproject E1, multidisciplinary collaborative research centre "Arid Climate, Adaptation and Cultural Innovation in Africa” (ACACIA), Cologne, funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG

 

Publikationen

 

2016

*BARETH, G., BENDIG, J., TILLY, N., HOFFMEISTER, D., AASEN, H., and BOLTEN, A.  (2016, accepted): Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs). PFG.

BARETH, G., BOLTEN, A., GNYP,  M.L., REUSCH, S., and JASPER, J. (2016): Comparison of uncalibrated RGBVI with spectrometer-based NDVI derived from UAV sensing systems on field scale. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 837-843, doi:10.5194/isprs-archives-XLI-B8-837-2016

POSSOCH, M., BIEKER, D., HOFFMEISTER, D., BOLTEN, D., SCHELLBERG, J., and BARETH, G. (2016): Multi-temporal crop surface models combined with the RGB vegetation index from UAV-based images for forage monitoring in grassland. In:Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 991-998, doi:10.5194/isprs-archives-XLI-B1-991-2016

WILLKOMM, M., BOLTEN, A., and BAETH, G. (2016): Non-destructive monitoring of rice by hyperspectral in-field spectrometry and UAV-based remote sensing: Case study of field-grown rice in North Rhine-Westphalia, Germany. In:Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1071-1077, doi:10.5194/isprs-archives-XLI-B1-1071-2016

*WILLMES, C., BECKER, D., VERHEUL, J., YENER, Y., ZICKEL, M., BOLTEN, A., BUBENZER, O., and BARETH, G. (2016): An open science approach to GIS-based paleoenvironment data. In:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-2, 159-164, doi:10.5194/isprs-annals-III-2-159-2016

2015

AASEN, H., BURKART, A., BOLTEN, A., and BARETH, G. (2015): Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance. ISPRS Journal of Photogrammetry and Remote Sensing 108, pp.245-259. doi:10.1016/j.isprsjprs.2015.08.002

 

AASEN, H., BOLTEN, A., and BARETH, G. (in review): UAV hyperspectral image frame cameras: from camera categorization to quality assessment. 9th EARSeL SIG Imaging Spectroscopy Workshop.

 

BARETH, G., BOLTEN, A. HOLLBERG, J., AASEN, H., BURKART, A., and SCHELLBERG, J. (2015): Feasibility study of using non-calibrated UAV-based RGB imagery for grassland monitoring: Case study at the Rengen Long-term Grassland Experiment (RGE), Germany. DGPF Annual Conference'15, DGPF-Proceedings 24, pp.55-62 (http://www.dgpf.de/src/tagung/jt2015/start.html).

 

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. PFG 2015 (1), pp.69-79. doi: 10.1127/pfg/2015/0256

 

BENDIG, J., YU, K., AASEN, H., BOLTEN, A., BENNERTZ, S., BROSCHEIT, J., GNYP, M.L., and BARETH, G. (2015): Combining UAV-based Crop Surface Models, Visible and Near Infrared Vegetation Indices for Biomass Monitoring in Barley. Int. J. Appl. Earth Obs. Geoinf. 39, 79-87. doi:10.1016/j.jag.2015.02.012

2014

Bendig, J., Bolten, A., Bennertz, S., Broscheit, J., Eichfuss, S., Bareth, G., 2014. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging. Remote Sens. 6, no. 11: 10395-10412. 

BARETH, G., AASEN, H., BENDIG, J., GNYP, M.L., BOLTEN, A., JUNG, A., MICHELS, R., SOUKKAMÄKI, J. (2014): Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. In: J. BENDIG and G. BARETH (eds): Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, 9-10 September 2013, University of Cologne, Germany. Kölner Geographische Arbeiten 94, pp.1-6. DOI: 10.5880/TR32DB.KGA94.2 

2013:

Bubenzer, O., Bolten, A. (2013): Top Down: New Satellite Data and Ground Truth Data as Base for a Reconstruction of Ancient Caravan Routes – Examples from the Western Desert of Egypt. In: Förster, F. & Riemer, H. (eds.): Desert Road Archaeology, Cologne: 61-76.

Bendig, J., Bolten, A., Bareth, G. (2013): UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability. PFG 06: 551-562. DOI: 10.1127/1432-8364/201 

2012:

Bendig, J., Bolten, A., Bareth, G. (2012): Introducing a low-cost Mini-UAV for Thermal- and Multispectral-Imaging. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B1, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia. DOI: 10.5194/isprsarchives-XXXIX-B1-345-2012

2011:

Bareth, G., Bolten, A., Bendig, J., 2011. Potentials of Low-cost Mini-UAVs. In. Lenz-Wiedemann, V.I.S., Bareth, G. (eds). Proceedings of the Workshop on Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany. Kölner Geographische Arbeiten 192: 1-8.

Bolten, A. (2011): Measurements of dune morphology in the great sand sea (Egypt) - field work vs. digital elevation models (ASTER / SRTM X-BAND). Proceedings Minerva Gentner Symposium on Aeolian Processes. Eilat (Israel). 23-28 Oktober 2011.