Building and Vegetation Heights 2012

Literature

Albertz, J. 2001:
Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und Satellitenbildern, [Introduction to remote sensing] 2^nd ed., Darmstadt.

Baatz, M. & Schäpe, A. 2000:
Multiresolution Segmentation: An optimization approach for high quality multi-scale image segmentation. In: Strobl, J. (ed.): Angewandte Geographische Informationsverarbeitung [Applied geographic information processing XII. Papers for the AGIT Symposium, Salzburg 2000, Karlsruhe, Herbert Wichmann Verlag, pp. 12-23.

Blaschke, T. 2000:
Ohne Salz und Pfeffer. In: GeoBIT, vol. 2, pp. 19-21.

Deutsches Zentrum für Luft- und Raumfahrt DLR e.V. 2014:
Bestimmung von Gebäude- und Vegetationshöhen in Berlin, Ergebnisdokumentation [Ascertainment of Building and Vegetation Heights in the Area of the City of Berlin, Documentation of Results].
Internet:
Download PDF

Heipke, C. 2003:
Photogrammetrie & Fernerkundung – vom Elektronenmikroskop bis zur Planetenbeobachtung. [Photogrammetry & remote sensing – from the electron microscope to planetary observation], In: Photogrammetrie Fernerkundung Geoinformation, vol 3, pp. 165-180.

Hirschmüller, H. 2005:
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information. In Proceedings of the IEEE International Conference on the Computer Vision and Pattern Recognition (CVPR 2005), San Diego, CA, USA, pp. 807-814, 20-25.

Hirschmüller, H. et al. 2010:
Evaluation of Digital Surface Models by Semi-Global-Matching, DGPF Tagungsband 19/2010, Three-country conference (Austr., Ger., Switz.) OVG, DGPF & SGPF, pp. 571-580.

Kraus, K. 2004:
Photogrammetrie (vol. 1). Geometrische Informationen aus Photographien und Laserscanneraufnahmen [Geometric information from photos and laser-scans], 7^th ed., Berlin.

Lehmann, F., Bucher, T., Pless, S. & Wieden, A. 2011:
Hochauflösende Oberflächenmodelle und True Ortho Photos aus digitalen Luftbildkameras: die Entwicklung anhand von Beispielen der letzten 10 Jahre [High-resolution and True Ortho photos from digital aerial images: Developments of the past ten years]. In: DGPF, Tagungsband 20/2011.

Mayer, S. (2004):
Automatisierte Objekterkennung zur Interpretation hochauflösender Bilddaten in der Erdfernerkundung [Automated object recognition for the interpretation of high-resolution image data in terrestrial remote sensing], Dissertation, Humboldt University of Berlin.

SenStadtUm (Berlin Senate Department for Urban Development and the Environment) (ed.) 2012:
SAPOS – German National Survey Satellite Surface Positioning in Berlin.
Internet:
www.berlin.de/sen/sbw/stadtdaten/geoportal/landesvermessung/raumbezug/sapos/
(Accessed March 23, 2023)

SenStadtUm (Senatsverwaltung für Stadtentwicklung und Umwelt) (ed.) 2013a:
Geoportal Berlin: FIS Broker.
Internet:
www.berlin.de/sen/sbw/stadtdaten/geoportal/geoportal-daten-und-dienste/
(Accessed March 23, 2023)

Trosset, A.M., Bucher, T., Lehmann, F. 2009:
Adaption of building extraction rule sets derived from MFC3 and UltraCamD aerial image data sets. In: Proc. of SPIE, vol. 7478.

Maps

SenStadt (Berlin Senate Department for Urban Development) (ed.), 2010:
Block map, 1:5000 (ISU5), III F, as of December 31, 2010, Berlin.

SenStadt (Senatsverwaltung für Stadtentwicklung Berlin) (ed.) 2011a:
Digital colour orthophotos 2010 (RGB-DOPs), Differential correction, shown in the sheet-line of the map of Berlin 1:1000 (K1) as raster data in data format ECW.
Internet:
fbinter.stadt-berlin.de/fb/index.jsp?loginkey=showMap&mapId=k_luftbild2010_rgb@senstadt
(Accessed July 29, 2013)

SenStadt (Berlin Senate Department for Urban Development) III – Geoinformation (ed.) 2011b:
Overview map of Berlin 1:50,000, as of: 2010, updated: 2011, Berlin.

SenStadt (Berlin Senate Department for Urban Development) (ed.) 2012b:
Map of building storeys based on the Automated Properties Map of Berlin (ALK), as part of the Register of Properties (as of June 30, 2011).

SenStadt (Berlin Senate Department for Urban Development) (ed.) 2012c:
Berlin Environmental Atlas, 2012 ed., Map 01.02. Impervious coverage, 1:50.000, Berlin.
Internet:
/umweltatlas/en/soil/impervious-soil-coverage/2011/maps/artikel.966173.en.php

SenStadtUm (Berlin Senate Department for Urban Development and the Environment) (ed.) 2013b:
Automated Properties Map of Berlin (ALK-Berlin), as part of the Register of Properties, full coverage and continual update, Berlin.