Working Group Remote Sensing and Photogrammetry (5222)

  • 8010

    Steyrergasse 30 Graz

    Austria

Organization profile

Profile Information

The Institute of Remote Sensing and Photogrammetry consists of 6 members and covers a wide range of expertise in the field of remote sensing and photogrammetry. The work of the Institute is focused on the application of various remote sensing techniques in the field of geosciences. This includes airborne (laserscanner data, airborne scanner data and aerial photos) and space borne remotely sensed data. Major applications are high mountain cartography, hazard mapping, glacier monitoring and forest monitoring. Another working area of the Institute is the application of close-range photogrammetry and terrestrial laser scanning in the field of documentation of cultural heritage, engineering projects and monitoring of glaciers, rock glaciers and landslides. Many projects are carried out in close co-operation with national and international organizations. Teaching comprises various courses of under-graduate and graduate level within Geomatics Engineering, Geomatics Science, and the university course “Space Sciences”. The Institute runs a dedicated computer lab for teaching and is well equipped with appropriate hardware (e.g., digital photogrammetric workstations, analytical stereoplotter, and analog and digital camera equipment for terrestrial photogrammetry) and software (e.g., Erdas Imagine and ArcInfo) to carry out application oriented projects and research work. Short Description: The Institute of Remote Sensing and Photogrammetry covers a wide range of expertise in the field of remote sensing and photogrammetry such as application of various remote sensing techniques in the field of geosciences, e.g. airborne and space borne remotely sensed data. Major applications are high mountain cartography, hazard mapping, glacier monitoring and forest monitoring, and furthermore the application of close-range photogrammetry and terrestrial laser scanning in the field of documentation of cultural heritage, engineering projects and monitoring of glaciers, rock glaciers and landslides.

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Profiles

No photo of Roland Perko
20012019

Research Output

Deep Learning based single tree species classification using ALS data

Mustafic, S. & Schardt, M., 8 Oct 2019.

Research output: Contribution to conferencePosterResearchpeer-review

Deep Learning-basierte Baumartenklassifizierung auf Basis von ALS-Daten

Mustafic, S. & Schardt, M., 20 Feb 2019, Dreiländertagung 2019, Photogrammetrie, Fernerkundung und Geoinformation, OVG – DGPF – SGPF. Vol. 28. p. 527-536 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Deep-Learning-basierte Baumartenklassifizierung auf Basis von multitemporalen ALS-Daten

Mustafic, S. & Schardt, M., 3 Jul 2019, AGIT ‒ Journal für Angewandte Geoinformatik. Vol. 5-2019. p. 329-337 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access

Activities

Deep Learning-basierte Baumartenklassifizierung auf Basis von ALS-Daten

Sead Mustafic (Speaker)
20 Feb 201922 Feb 2019

Activity: Talk or presentationTalk at conference or symposiumScience to public

Deep-Learning-basierte Baumartenklassifizierung auf Basis von multitemporalen ALS-Daten

Sead Mustafic (Speaker)
3 Jul 20195 Jul 2019

Activity: Talk or presentationTalk at conference or symposiumScience to public

Deep Learning based single tree species classification using ALS data

Sead Mustafic (Speaker)
8 Oct 201910 Oct 2019

Activity: Talk or presentationTalk at conference or symposiumScience to science

Prizes

Best Poster Award

Clemens Strauß (Recipient), Andreas Stiermeier (Recipient) & Gernot Hollinger (Recipient), 7 Jul 2011

Prize: Prizes / Medals / Awards

  • Best Poster Award CIPA 2005

    Richard Ladstädter (Recipient) & Viktor Kaufmann (Recipient), 1 Oct 2005

    Prize: Prizes / Medals / Awards

    European Satellite Navigation Competition 2013 Galileo Master

    Gernot Hollinger (Recipient) & Clemens Strauß (Recipient), 5 Nov 2013

    Prize: Prizes / Medals / Awards

  • Projects