Books and Papers

Luhmann, T.; Schumacher, C. (2020): Photogrammetrie, Laserscanning, Optische 3D-Messtechnik – Beiträge der 19. Oldenburger 3D-Tage. Wichmann Verlag, Offenbach/Berlin
Luhmann, T. (2020): Review about Teubner/Brückner: Optical Imaging and Topography. PFG Journal for Photogrammetry, Remote Sensing and Geoinformation 88(2020), S. 427-429 , doi: 10.1007/s41064-020-00132-x , Weblink
Pogoda, B.; Merk, V.; Bérenger, C.; Hausen, T.; Peter, C.; Pesch, R.; Kramer, M.; Jaklin, S.; Holler, P.; Bartholomae, A. (2020): Site selection for biogenic reef restoration in offshore environments: The Natura 2000 area Borkum Reef Ground as a case study for native oyster restoration. Aquatic Conservation-Marine and Freshwater Ecosystems, 30 , pp. 2163-2179 , doi: 10.1002/aqc.3405 , Weblink
Gutow, L.; Günther, C.-P.; Ebbe, B.; Schückel, S.; Schuchardt, B.; Dannheim, J.; Darr, A.; Pesch, R. (2020): Structure and distribution of a threatened muddy biotope in the south-eastern North Sea. Journal of Environmental Management, Volume 255, 1 February 2020, 109876 , doi: 10.1016/j.jenvman.2019.109876 , Weblink
Burgues, MF; Lenzi, J.; Machín, E; Genta, L; Teixeira de Mello, F (2020): Temporal variation of Kelp Gull's (Larus dominicanus) diet on a coastal island of the Rio de la Plata Estuary, Uruguay: refuse as an alternative food source. Waterbirds 43(1): 65-74 , doi: https://doi.org/10.1675/063.043.0107 , Weblink
Lanz, P.; Marino, A.; Brinkhoff, T.; Köster, F.; Möller, M. (2020): The InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats. Remote Sensing 2020, Vol. 12, 3516 , doi: 10.3390/rs12213516
Chizhova, M.; Popovas, D.; Gorkovchuk, D.; Gorkovchuk, J.; Hess, M.; Luhmann, T. (2020): Virtual terrestrial laser scanner simulator for digitalization of teaching environment: Concept and first results. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 91–97 , doi: 10.5194/isprs-archives-XLIII-B5-2020-91-2020 , Weblink
Werner, T.; Brinkhoff, T. (2020): Window Operators for Processing Spatio-Temporal Data Streams on Unmanned Vehicles. AGILE GIScience Ser., 1, 21 , doi: 10.5194/agile-giss-1-21-2020