About

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LVISA - Version 2.0

Chair of GIScience

LiDAR Research Group

Institute of Geography, Heidelberg University

Principal Investigator: Jun.-Prof. Dr. B. Höfle
Implementation:
Project Investigator and Database: Dipl.-Geogr. K. Koenig
Data Processing: L. Griesbaum, Zs. Koma
Services: R. Peters, Dipl.-Geogr. K. Koenig
Web: A. Kiefer
Technical support: Dipl.-Geogr. M. Auer
Funding: Ministry of Science, Research and Arts, Baden-Wuerttemberg
LiDAR Research Group, Institute of Geography, University of Heidelberg

Publications

  1. Koenig, K., Höfle, B. (2016): Full-Waveform Airborne Laser Scanning in Vegetation Studies—A Review of Point Cloud and Waveform Features for Tree Species Classification. Forests Vol. 7(9) , pp. 198.
  2. Malinowski, R., Höfle, B., Koenig, K., Groom, g., Schwanghart, W., Heckrath, G. (2016): Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data. ISRPS Journal of Photogrammetry and Remote Sensing, Vol. 119 , pp. 267-279.
  3. Koma, Zs., Koenig, K., Höfle, B. (2016): Urban tree classification using full-waveform Airborne Laser Scanning. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3 , pp. 185-192.
  4. Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T. & Lilienthal, H. (2015): Comparative Classification Analysis of Post-Harvest Growth Detection from Terrestrial LiDAR Point Clouds in Precision Agriculture. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 104 , pp. 112-125.
  5. Hämmerle, M. & Höfle, B. (2014): Effects of Reduced Terrestrial LiDAR Point Density on High-resolution Grain Crop Surface Models in Precision Agriculture. Sensors. Vol. 14 (12), pp. 24212-24230.
  6. Höfle, B. (2014): Radiometric Correction of Terrestrial LiDAR Point Cloud Data for Individual Maize Plant Detection. IEEE Geoscience and Remote Sensing Letters. Vol. 11 (1), pp. 94-98.
  7. Koenig, K., Kiefer, A. & Höfle, B. (2013a): Web-based visualization and object-based analysis of 3D geoinformation from laser scanning point clouds. gis.SCIENCE. Vol. 26(2), pp. 70-76.
  8. Koenig, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2013b): Radiometric Correction of Terrestrial LiDAR Data for Mapping of Harvest Residues Density. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. II (5/W2), pp. 133-138.

Conferences

  1. Koma, Z., Székely, B., Folly-Ritvay, Z., Skobrák, F., Koenig, K., Höfle, B. (2016): Automated identification and geometrical features extraction of individual trees from Mobile Laser Scanning data in Budapest . In: Geophysical Research Abstracts. Vol. 18(EGU2016-10237-1), pp. 1-1.
  2. Höfle, B., Koenig, K., Griesbaum, L., Kiefer, A., Hämmerle, M., Eitel, J. & Koma, Zs. (2015): LiDAR Vegetation Investigation and Signature Analysis System (LVISA) . In: Geophysical Research Abstracts. Vol. 17 (EGU2015-1537), pp. 1-1.
  3. Malinowski, R., Höfle, B., Koenig, K., Groom, G. & Schwanghart, W. (2014): Mapping of local-scale flooding on vegetated floodplains from radiometrically calibrated airborne laser scanning data. In: Geophysical Research Abstracts. Vol. 16 (EGU2014-11204), pp. 1-1.
  4. Koenig, K., Kiefer, A., Peters, R., & Höfle, B. (2014): Webbasierte Visualisierung und Analyse von Vegetationsobjekten aus Laserpunktwolken. Geoinformatik 2014, Hamburg, Germany.
  5. Koenig, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2013c): Mapping Density of Harvest Residues from Terrestrial Laser Scanning and RGB Imagery. In: Proceedings of the ISPRS WG VII/5 ISPRS Workshop. 09.-10.09.2013, Cologne, Germany, p. 154.
  6. Koenig, K., Kiefer, A. & Höfle, B. (2013d): Laser Scanning for 3D Vegetation Characterization: Web-based Infrastructure for Exploration and Analysis of Vegetation Signatures. In: Proceedings of the ISPRS WG VII/5 ISPRS Workshop. 09.-10.09.2013, Cologne, Germany, pp. 153-154.

Presentations

  1. 16th March, 2015 LiDAR Point Cloud Information and Web Infrastructure for 3D Vegetation Analysis. Workshop on Laser Scanning Applications, Cologne, Germany.
  2. 3rd Dec, 2014 Geoinformation Fusion of Crowdsourcing and Technical Remote Sensor Data. DFG Sino-Germany Symposium on Multi-Dimensional Global Mapping and Services, Chengdu, China
  3. 17th Nov, 2014 Analysis of Big 3D Point Clouds in Geosciences and Environmental Research. Research Colloquium at Dept. of Geography and Regional Research, University of Vienna, Austria
  4. 26th Sep, 2014 Web-based Infrastructure for 3D Vegetation Analysis. Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, Finland.
  5. 24th Sep, 2014 Web-based Infrastructure for 3D Vegetation Analysis: Interactive Investigation of Geometric and Radiometric LiDAR Vegetation Object Features. International Workshop on 3D Vegetation Mapping Using Advanced Remote Sensing, Sino-German Science Promotion, Grafenau, Germany
  6. 7th May, 2014 3D Digital Earth: Bridging Nature, Technology, Society and Science via 3D Geoinformation. HEiKA Workshop of the Research Bridge “Nature, Technology, Society (NTS)” in the course of the Heidelberg Karlsruhe Research Partnership (HEiKA), Heidelberg University
  7. 11th Apr, 2014 LiDAR and 3D-GIS in Geosciences and Environmental Research. Department of Earth Sciences, National Cheng Kung University (NCKU), Taiwan
  8. 8th Apr, 2014 Bridging Remote Sensing and Geoinformatics for Geoinformation Extraction from 3D Point Clouds. National Chiao Tung University (NCTU), Taiwan
  9. 31st Jan, 2014 Geoinformatics tackles society’s future grand challenges – Geoinformation for the people, of the people, by the people. Roundtable “Geoinformation 2030” at the Institute for Geodesy and Geoinformation, University of Bonn

License

Used OpenStreetMap map images are © OpenStreetMap contributors, CC BY-SA.
License can be seen here.

Some layers are taken from www.openmapsurfer.uni-hd.de.

The tree catastre layer: City of Vienna – data.wien.gv.at

Point Clouds are provided by City of Vienna, Stadtvermessung (MA41)

Use of LVISA

The private and business use of the services provided by lvisa.geog.uni-heidelberg.de is free of charge. The exploitation and offer of these services to third parties for commercial gain is forbidden.

Liability

Contents of LVISA

LVISA does not accept liability for the correctness of the content and results that are offered on this site.

Contents offered by third parties

LVISA cannot be held responsible for the subject and content of any web pages of third parties which are accessed via links displayed on our site, nor does this content represent our opinion.

Data protection

The data you may upload on our servers for analyzing purposes will not be stored permanently.

Copyright

All rights arising in conjunction with the software developed for the purposes of this online service, as well as the databases on which it relies, and all other content belong to the Geoinformatics Research Group, Heidelberg University unless another author or proprietor is explicitly named. Any exploitation of the software, the data or any other content except in the form in which it is offered and provided at lvisa.geog.uni-heidelberg.de is prohibited.

Plots created with our service are licensed under a Creative Commons Attribution 4.0 International License. Creative Commons License

Used OpenStreetMap map images are © OpenStreetMap contributors, CC BY-SA.
License can be seen here.

Some layers are taken from www.openmapsurfer.uni-hd.de.

The tree cadastre layer: City of Vienna – data.wien.gv.at

Point Clouds are provided by City of Vienna, Stadtvermessung (MA41)