Expertin
Ass.-Prof. Mag. Dr. Manuela Hirschmugl

Expertise

  • Geodäsie, Vermessungswesen: Fernerkundung für Umweltanwendungen, Schwerpunkte: Alpine Anwendungen, Waldmonitoring, Energie (Biomasse)
  • Forst- und Holzwirtschaft: Schutzwaldmonitoring, Ableitung von Forstparametern für Forstliche Planung und/oder Energieanwendungen, Tropenwaldmonitoring/REDD
  • Energie: Erfassung und Monitoring von Biomasse, räumliche Erfassung anderer erneuerbarer Energien
  • Geographie: Geographische Informationssysteme und -technologien, Anwendungen der Technologien für geographische Fragestellungen

Verfügbar für

    Interviews
    Jury
    Kooperationen
    Projektleitung
    Projektmitarbeit

Beruflich

Mittleres Management

Tätigkeitsbereiche:
  • Universität
  • Außeruniversitäre Forschungseinrichtung

Ausbildung

Universität (2004)
Umweltsystemwissenschaften

Zusatzausbildung(en)
2008 - PhD Remote Sensing

Weitere Fachrichtungen, weitere Ausbildungen
Fernerkundung

Sprachen

  • Deutsch
  • Englisch
  • Französisch
  • Spanisch
Mehr Details
  • Deutsch

    Schriftlich: Muttersprache / wie Muttersprache
    Konversation: Muttersprache / wie Muttersprache

  • Englisch

    Schriftlich: Muttersprache / wie Muttersprache
    Konversation: Muttersprache / wie Muttersprache

  • Französisch

    Schriftlich: Grundkenntnisse
    Konversation: Grundkenntnisse

  • Spanisch

    Schriftlich: Grundkenntnisse
    Konversation: Grundkenntnisse

Referenzen

Auszeichnungen / Preise

DOC-FFORTE Stipendium der Österreichischen Akademie der Wissenschaften (2004-2006)

Publikationen

Monographs

Hirschmugl, M. (2002): Automatisierte Bildsegmentierung von Nutzungsstrukturen in der Fernerkundung, Diplomarbeit am Institut für Geographie und Raumforschung, Karl-Franzens-Universität Graz. Graz, 114 p.
Hirschmugl, M. (2008): Derivation of Forest Parameters from UltracamD Data, PhD Thesis, Graz University of Technology, 220 p.

Journal articles (peer reviewed)

Hirschmugl, M, Ofner M., Raggam, J. and Schardt, M. (2007): Single Tree Detection in Very High Resolution Remote Sensing Data, Remote Sensing of Environment 110: 533 - 544. https://doi.org/10.1016/j.rse.2007.02.029
Björnsen Gurung, A., Bokwa, A., Chełmicki, W., Elbakidze, M., Hirschmugl, M., Hostert, P., Ibisch, P., Kozak, J., Kuemmerle, T., Matei, E., Ostapowicz, K., Pociask-Karteczka, J., Schmidt, L., van der Linden, S. and Zebisch, M. (2009): Global Change Research in the Carpathian Mountain Region. Mountain Research and Development (MRD), Vol. 29, No. 3, MountainNotes, pp. 282 – 288. https://doi.org/10.1659/mrd.1105
Schmidtke, H.; Schardt, M.; Hirschmugl, M.; Wack, R.; Ofner, M. & Granica, K. (2011): Das Projekt „Neue Bestandeskarte“. Schweizerische Zeitschrift für Forstwesen, 62, pp. 171-177. https://doi.org/10.3188/szf.2011.0171.
H. Kaartinen, J. Hyyppä , X. Yu , M. Vastaranta , H. Hyyppä, A. Kukko, M. Holopainen, C. Heipke, M. Hirschmugl, F. Morsdorf, E. Næsset, J. Pitkänen, S. Popescu, S. Solberg, B. M. Wolf, J. Wu (2012): An International Comparison of Individual Tree Detection and Extraction using Airborne Laser Scanning Remote Sens. 2012, 4, 950-974; https://doi.org/10.3390/rs4040950. Best Paper Award: https://www.mdpi.com/journal/remotesensing/awards.pdf/0/16_2019_2_19-04-...
Deutscher, J., Perko, R., Gutjahr, K., Hirschmugl, M., Schardt, M. (2013): Mapping Tropical Rainforest Canopy Disturbances in 3D by COSMO-SkyMed Spotlight InSAR-Stereo Data to Detect Areas of Forest Degradation. Remote Sensing. Special Issue "Advances in Remote Sensing of Forestry", Vol. 5, No. 2, pp. 648-663. https://doi.org/10.3390/rs5020648.
Hirschmugl, M, Steinegger, M., Gallaun, H., Schardt, M., (2014): Mapping Forest Degradation due to Selective Logging by Means of Time Series Analysis: Case Studies in Central Africa. Remote Sensing. Vol. 6(1), pp. 756-775; https://doi.org/10.3390/rs6010756.
Schardt, M., Granica, K., Hirschmugl, M., Deutscher, J., Mollatz, M., Steinegger, M., Gallaun, H., Wimmer, A.& Linser, S. (2015) The assessment of forest parameters by combined LiDAR and satellite data over Alpine regions – EUFODOS Implementation in Austria / Hodnotenie parametrov lesa kombináciou LIDAR-u a satelitných údajov v alpských regiónoch – implementácia systému EUFODOS v Rakúsku. Forestry Journal, ISSN: 0323-1046, Band 61, Heft 1. pp. 3-11Vol. 6(1), pp. 756-775; https://doi.org/10.3390/rs6010756.
Hirschmugl, M.; Gallaun, H.; Dees, M.; Datta, P.; Deutscher, J.; Koutsias, N. & Schardt, M. (2017): Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: A review, Current Forestry Reports 3(1), pp. 32-45. https://doi.org/10.1007/s40725-017-0047-2.
Hirschmugl, M.; Sobe, C., Deutscher, J. and Schardt, M. (2018):

Combined Use of Optical and SAR Data for REDD+ applications in Malawi. Land 2018, 7(4) 116, https://doi.org/10.3390/land7040116.

 

Proceedings

Hirschmugl, M. (2003): Possible debris flows in the mountain permafrost zone: Hohe Tauern national park. In: Proceedings International Conference on Permafrost (ICOP). Zürich, pp. 413 – 418.
Granica, K. Schardt, M. Hirschmugl, M. & Gallaun H. (2004): The Observation of Protection Forests in Critical Zones Using New Satellite Technology. In: Proceedings of INTERPRAEVENT 2004; 26. – 28. Mai 04, Band 2, pp.37 – 48.
Hirschmugl, M. Amlacher, K. & Schardt, M. (2004): Methodik zur automatisierten Baumartendifferenzierung basierend auf CIR Orthophotos, In: Strobl/Blaschke/Griesebner (Hrsg.): Angewandte Geoinformatik 2004. Proc. of 16th AGIT Symposium, Salzburg. Verlag Wichmann, Heidelberg, pp. 227 – 236.
Schardt, M. Granica, K. Hirschmugl, M. Luckel, W. & Klaushofer  F. (2004): Mapping Protection Forests in the Province of Salzburg Using Remote Sensing. Proceedings of 1st Göttingen GIS & Remote Sensing Days 7-8 Oct. 2004, Göttingen. In: Kleinn, C., Nieschulze, J., Sloboda, B. (Eds.) (2005): Remote Sensing & GIS for Environmental Studies: Applications in Forestry. Schriften aus der Forstl. Fakultät der Univ. Göttingen und der Nieders. Versuchsanstalt, Vol. 137, Sauerländer Verlag, Frankfurt, Main, pp. 204 – 213.
Schardt, M., Hruby, W., Hirschmugl M., Wack, R. & Franke, M. (2004): Comparison of Aerial Photographs and Laser Scanning Data as Methods for Obtaining 3D Forest Stand Parameters, Proceedings of NATSCAN Conference, Vo. XXXVI, Part 8/W2, available online: http://www.isprs.org/commission8/workshop_laser_forest/.
Hirschmugl, M. & Schardt, M. (2004): Methods for the Automatic Estimation of Forest Attributes from Aerial Imagery. Proceedings of 1st Göttingen GIS & Remote Sensing Days 7-8 Oct. 2004, Göttingen. In: Kleinn, C., Nieschulze, J., Sloboda, B. (Eds.) (2005): Remote Sensing & GIS for Environmental Studies: Applications in Forestry. Schriften aus der Forstl. Fakultät der Univ. Göttingen und der Nieders. Versuchsanstalt, Vol. 138, Sauerländer Verlag, Frankfurt, Main, pp. 53 – 62.
Sulzer, W., Hirschmugl, M., Kastberger, G, & Huettinger, E. (2004): Multitemporal Investigation of Giant Honey Bees (Apis Dorsata) Migration in Chitwan Area (Nepal). EurEdUC’04 - Second European Conference for ESRI Education Users, November, 7th -9th, Copenhagen, Denmark (Poster).
Hirschmugl, M., Schardt, M., Franke, M. & Raggam, H. (2005): Single Tree Detection in Very High Resolution Remote Sensing Data. FORESTSAT Scientific Workshop, Borås, Sweden. 31.05.-01.06.05, Rapport 8a, pp. 38 – 43.
Hirschmugl, M., Gallaun, H., Perko, R. & Schardt, M. (2005): “Pansharpening” – Methoden für digitale, sehr hoch auflösende Fernerkundungsdaten. Strobl/Blaschke/Griesebner (Hrsg.): Angewandte Geoinformatik 2005. Proc. of 17th AGIT Symposium (06. – 08. 07. 2005), Salzburg. Verlag Wichmann, Heidelberg, pp. 270 – 276.
Schardt, M., Granica, K., Hirschmugl, M., Luckel, W. & Klaushofer, F. (2005): Satellitenbildbasierte Waldklassifikation für Salzburg (KLEO). Strobl/Blaschke/Griesebner (Hrsg.): Angewandte Geoinformatik 2005. Proc. of 17th AGIT Symposium (06. – 08. 07. 2005), Salzburg. Verlag Wichmann, Heidelberg, pp. 621 – 628.
Ofner, M., Hirschmugl, M., Raggam, H. & Schardt, M. (2006): 3D Stereo Mapping by Means of UltracamD Data”. Proceedings of International Workshop “3D Remote Sensing for Forestry”, BOKU, Vienna, 14.-16. February 2006, published online.
Granica, K., Hirschmugl, M., Proske, H., Wallner, H., Wurm, M. & Schardt, M. (2006): The Derivation of Indicators for Landslide Detection Using Very High Resolution Satellite Imagery, High Mountain Remote Sensing Cartography, HMRS06, Graz.
Granica, K., Almer, A., Hirschmugl, M., Proske, H., Wurm, M., Schnabel, Th., Kenyi, L.W. & Schardt, M. (2007): Generation and WebGIS Representation of Landslide Susceptibility Maps Using VHR Satellite Data. In Proceedings of IGARSS2007, Barcelona, July, 23rd – 27th 2007, pp. 2455-2458.
Hirschmugl, M., Granica, K., Proske, H., Wurm, M., Almer, A., Schnabel, T., Gutjahr, K.-H. & Schardt, M. (2007): Digital terrain models and their usability to landslide risk assessment and web-GIS visualization. Proceedings of 27th EARSEL Symposium, Bolzano, June, 4th – 7th 2007, pp. 445 – 455.
Hirschmugl, M., Weninger, B., Raggam, H., Schardt, M. (2007): Die Ableitung von Forstinventurparametern aus digitalen Luftbildkameradaten, DGPF Tagungsband 16/2007, 19. - 21. Juni 2007, Muttenz, Basel, published on CD-ROM.
Hirschmugl, M. and Zebisch, M. (2007): How can remote sensing support landscape planning and landscape management in mountain regions? In: Landscape Development in Mountain Regions, Proceedings of the ForumAlpinum 2007, 18th – 27th April, Engelberg, Switzerland, pp. 39-40.
Hirschmugl, M., Schmidtke, H., Granica, K., Schardt, M.and Ruff, B. (2007): "Small scale forest classification and evaluation of wood resources in the Ukrainian Carpathians", Plenary session: ForestSat 2007 Conference - November 5-7, 2007 - Montpellier, France, published on CD.
Almer A., Schnabel T., Granica K., Hirschmugl M., Raggam J., Van Dahl M. (2007): ASSIST, Alpine Safety, Security & Informational Services and Technologies. 13th EC GI&GIS Workshop. Porto, 4th July 2007.
Hirschmugl, M., Schardt, M., Häusler, T., Gomez, S. and Amougou, J. A. (2008): REDD pilot project in Cameroon - method development and first results. In: D. Maktav (Ed.) Remote Sensing for a Changing Europe - Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories, Istanbul, Turkey, 2-5 June 2008, pp. 205 - 213.

<>31.Sulzer, W., Kastberger, G., Muick, M., Hirschmugl, M. and Huettinger, E. (2008): Multitemporal crop and landcover analyses for Giant Honey Bees (Apis Dorsata) migration investigations in Chitwan Area (Nepal) by means of Remote Sensing. 10th International Symposium for High Mountain Remote Sensing Cartography, Kathmandu (Nepal), 09.-19.September 2008.

Hirschmugl, M., Maier, A., Haas, S., Siwe, R., Schardt, M. and Amougou, J. A. (2008): REDD Pilot Project in Cameroon – Monitoring Forest Cover Change with EO Data. Proceedings of the 7th International Conference of the African Association of Remote Sensing of the Environment (AARSE) 2008, Accra, Ghana, October, 27th – 31st 2008.
Hirschmugl, M., Haas, S., Deutscher, J., Schardt, M., Siwe, R., Häusler, T. (2009): Investigating different sensors for degradation mapping in Cameroonian tropical forests. Proceedings of the 33rd International Symposium on Remote Sensing of Environment (ISRSE) 2009, Stresa, Italy, May, 4th-8th 2009, published on digital media.
Kalaitzidis, H., Hirschmugl, M. and Perko, R. (2010): Towards a Harmonized Biomass Potential Assessment in Europe: User Requirements and Initial Developments Using EO and Terrestrial Data. In: M. Hernandez (Ed.) Remote Sensing for Science, Education and Culture - Proceedings of the 30th Symposium of the European Association of Remote Sensing Laboratories, Paris, France, 31 .5. – 3. 6. 2010.
Dees, M., Bodo, B., Panoutsou, C., Böttcher, H., Duchossois, G., Eleftheriadis, G., Gunia, K., Gyuris, P., Hirschmugl, M., Kajba, D., Kalaitzidis, C., Keuck, V., Koch, B., Köppen, S., Kunikowski, G., Lakyda, P., Lindner M., Pace, G., Ramos, I., Rettenmaier, N., Rosillo-Calle, F., Schardt, M., Smeets, E., Torin, J., Vasylyshyn, Vis, M., Wirsenius, S. and Zhelyezna, T. (2012): Status and future of biomass assessment for energetic use in Europe. Proceedings of 20th European Biomass Conference and Exhibition, June 18-22, Milano, Italy. http://www.etaflorence.it/proceedings/index.asp?detail=8454.
Hirschmugl, M., Perko, R., Hörmann, C., Schmitt, U., Schardt, M. (2012): Integrative Use of SAR and Optical Data for Forest Mapping in the Congo Basin. Proceedings of the AARSE Conference, El Jadida, Morocco, 29 Oct. – 2 Nov. 2012.
Hirschmugl, M, Gallaun, H., Wack, R., Granica, K., Schardt, M. (2013): EUFODOS European Forest Downstream Services - Improved Information on Forest Structure and Damage. Proceedings of ISPRS Workshop Hannover, 21-24 May 2013,pp.127-131, available at: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/1...
Hirschmugl, M. and Schardt, M. and Perko, R. and Schell, V. and Sobe, C. (2016): Tropical forest degradation monitoring: Radiometric issues of using both Landsat 8 and Sentinel 2 in one time series. Conference paper of ForestSat Conference, Santiago de Chile, 2016.
Roland Perko, Manuela Hirschmugl, Evelyn Papst Ursula Schmitt (2016): Mapping Singapore by Pleiades Stereo Data: Carbon Reporting and more. In Proceedings of 36th EARSeL Symposium, 20-24 June 2016 University of Bonn, Center for Remote Sensing of Land Surfaces & Department of Geography, Germany.
Deutscher, J., Gallaun, H., Steinegger, M., Hirschmugl, M., Perko, R., Gutjahr, K., Raggam, H., and Schardt, M. (2016): Applying Time-Series Analysis on Multi-Sensor Imagery to Map Forest Change. 3rd EARSeL SIG Forestry Workshop, Krakow, Poland. https://doi.org/10.13140/RG.2.2.18630.68167.
Deutscher, J., Gutjahr, K., Perko, R., Raggam, H., Hirschmugl, M. and Schardt, M. (2017): Humid tropical forest monitoring with multi-temporal L-, C- and X-band SAR data. In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), pages 1–4, June 2017. https://doi.org/10.1109/Multi-Temp.2017.8035208.
Hirschmugl, M., Deutscher, J., Gutjahr, K.-H., Sobe, C. and Schardt, M. (2017): Combined use of SAR and optical time series data for near real-time forest disturbance mapping. In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), pages 1–4, June 2017. https://doi.org/10.1109/Multi-Temp.2017.8035264.
Deutscher, J., Granica, K., Steinegger, M., Hirschmugl, M., Perko, R. and Schardt, M. (2017): Updating LiDAR-derived Crown Cover Density Products with Sentinel-2. Conference Paper of IEEE International Geoscience and Remote Sensing Symposium 2017. https://doi.org/10.1109/IGARSS.2017.8127597.
Schardt, M., Schmitt, U., Perko, R., Hirschmugl, M., Ibrahim, H., Wang, J., Chew, P.T. and Huiyu, C. (2018): 3D-Pléiades Mapping for IPCC Reporting. Conference Paper of MUAS “Mapping Urban Areas from Space” 2018. ESA, Frascati.

 

Hirschmugl, M., Schardt, M., Gutjahr, K., Proske, H., Angelova, D., Broszeit, A. (2018): Mapping Risk Areas with EO data in the Indonesian City of Semarang. Conference Paper of MUAS “Mapping Urban Areas from Space” 2018. ESA, Frascati.

 

Book chapters

Peltoniemi, J. I.; Suomalainen, J.; Hakala, T.; Näränen, J.; Puttonen, E.; Kaasalainen, S.; Hirschmugl, M. & Torppa, J. (2010) in Kokhanovsky, A. A. (Ed.): Light Scattering Reviews 5: Reflectance of various snow types: measurements, modelling and potential for snow melt monitoring. Springer Praxis Books, Springer Berlin Heidelberg New York, 393 – 443. https://doi.org/10.1007/978-3-642-10336-0.
Esch, T.; Hasager, C. B.; Elsner, P.; Deutscher, J.; Hirschmugl, M.; Metz, A. & Roth, A. (2016): Chapter 16 Support of Wind Resource Modeling Using Earth Observation - A European Perspective on the Status and Future Options. In Weng, Q. (Ed.) Remote Sensing for Sustainability, 2016, 297-316. https://www.researchgate.net/publication/312097443_Support_of_Wind_Resou...
Schardt, M., Hirschmugl, M. and Granica K. (2018) Remote Sensing for Alpine Forest Monitoring. In: Brünner C., Königsberger G., Mayer H., Rinner A. (eds) Satellite-Based Earth Observation. Springer, Cham, 95 – 106. https://doi.org/10.1007/978-3-319-74805-4_10.

1.     Hirschmugl, M., Proske, H., Gutjahr, K. (2019): Combined Use of Different EO Data and Methods for Monitoring SDG 11.5 - Case Study in Semarang. 05/2019, Living Planet Symposium, May 2019, Milan, IT.

2.      Hirschmugl M., Schardt M., Sobe C., Deutscher J. (2019): Tropical forest and land cover monitoring using optical and SAR data.   10/2019. In Proceeding of IUFRO World Congress, Curritiba, BRA.

3.      Manuela Hirschmugl, Carina Sobe, Cosette Khawaja, Rainer Janssen, Dominik Rutz, Marie-Alice Budniok, Alfonso Calera, David Cifuentes, Marco Colangeli, Michela Morese, Mathias Schardt, Lorenzo Traverso (2019): Employing Copernicus data and Time Series Analysis for the Identification and Promotion of Underutilised Lands for Bioenergy Production. 07/2019, In Proceeding of EARSeL Symposium 2019, Salzburg AT.

4.      Hirschmugl, M. and Khawaja, C. and Janssen, R. and Rutz, D. and Bonati, G. and Budniok, M. and Buiting, M. and Calera, A. and Ceylan, Ö. and Cifuentes, D. and Colangeli, M. and Fabiani, S. and Geletukha, G. and Gyuris, P. and Ion, N. and Knoche, D. and Köhler, R. and Kuusisto, S. and Morese, M. and Pulighe, G. and Schardt, M. and Schlepphorst, R. and Soininen, A. and Tantareanu, C. and Traverso, L. and Tryboi, O. and Uderszky, A. (2020): Promoting Sustainable Use of Underutilised Lands for Bioenergy Production through a Web-based Platform for Europe. 01/2020. In Proceedings of the 27th European Biomass Conference and Exhibition, Graz, AT.

1.       Hirschmugl, M.; Deutscher, J.; Sobe, C.; Bouvet, A.; Mermoz, S.; Schardt, M. Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping. Remote Sens. 2020, 12, 727. https://doi.org/10.3390/rs12040727

2.       Puhm, M.; Deutscher, J.; Hirschmugl, M.; Wimmer, A.; Schmitt, U.; Schardt, M. A Near Real-Time Method for Forest Change Detection Based on a Structural Time Series Model and the Kalman Filter. Remote Sens. 2020, 12, 3135. https://doi.org/10.3390/rs12193135

3.       Hirschmugl, M.; Sobe, C.; Khawaja, C.; Janssen, R.; Traverso, L. Pan-European Mapping of Underutilized Land for Bioenergy Production. Land 2021, 10, 102. https://doi.org/10.3390/land10020102   

4.       Sobe, Carina; Hirschmugl, Manuela; Wimmer, Andreas: Sentinel-2 Time Series Analysis for Identification of Underutilized Land in Europe.In: Remote Sensing. 13,23. 2021. https://doi.org/10.3390/rs13234920  

5.       Hirschmugl, M., Fellner, H., Wack, R., Bronner, G. und Schardt, M.: Low altitude LiDAR and TLS point clouds for improved tree detection. In: Geowissenschaftliche Mitteilungen. 1. 2021. 258-265. https://doi.org/10.34726/wim.2003  

6.       Hirschmugl, Manuela; Sobe, Carina; Traverso, Lorenzo; Cifuentes, David; Calera, Alfonso; Khawaja, Cosette; Colangeli, Marco: Energy from Biomass: Assessing Sustainability by Geoinformation Technology.In: GI_FORUM - Journal for Geographic Information Science. 1. 2021. 120-129. https://doi.org/10.1553/giscience2021_01_s120  

7.       Hirschmugl, Manuela, Lippl, Florian and Sobe, Carina: Assessing the Vertical Structure of Forests Using Airborne and Spaceborne LiDAR Data in the Austrian Alps. Remote Sensing 2023, 15(3), 664; https://doi.org/10.3390/rs15030664

Hirschmugl, Manuela, Sobe, Carina, Alfredo Di Filippo; Vanessa Berger; Hanns Kirchmeir; Kris Vandekerkhove: Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe. Environmental Modeling & Assessment. 2023-05-19. DOI: 10.1007/s10666-023-09897-y

Manuela Hirschmugl
Ass.-Prof. Mag. Dr. Manuela Hirschmugl

Universität Graz & Joanneum Research

Letzte Aktualisierung: 24.05.2023