English Intern
Fernerkundung

Dr. Hooman Latifi

Lehrstuhl für Fernerkundung
Leitung Themenbereich "Angewandte Umweltmodellierung und Waldinventur": Wald/Landnutzungsklassifizierung, LiDAR, Waldinventuren (statistische Auswerteverfahren), räumliche Statistik/Modellierung

Tel.: +49 931 31-89630
Fax: +49 931 31-896300
E-Mail: hooman.latifi@uni-wuerzburg.de 

Institut für Geographie und Geologie
Oswald-Külpe-Weg 86
97074 Würzburg

Campus Hubland Nord
Gebäude 86
Zimmer 02.005

Sprechstunde

nach Vereinbarung

Forschung

seit 06/2012
Wissenschaftlicher Mitarbeiter am Lehrstuhl für Fernerkundung, Julius- Maximilians-Universität Würzburg.

seit 02/2012
Mitarbeit im Projekt: Remote Sensing of Natural Hazards and Disasters in a Climate Changing World (IKYDA). Arbeitsschwerpunkt: Ansatz der Fernerkundung für Naturkatastrophenmonitoring.

02/2012-05/2012
Mitarbeit im Projekt: Entwicklung einer GIS-Infrastruktur zur Ableitung von Kalkungsflächen aus diversen Modellgrundlagen der FVA und von ForstBW

10/2008 - 11/2011
Dissertation an der Abt. Fernerkundung und Landschaftsinformationssysteme der Universität Freiburg : The use of nonparametric methods for small-scale forest inventory by means of multiple remote sensing data sources

11/2007 - 06/2008
Consultant der Organisation für Ernährung und Landwirtschaft der Vereinigten Nationen (FAO) (Projekt: Trends in forest ownership, forest resources tenure and institutional arrangements in Central Asia)

Wissenschaftlicher Werdegang

seit 06/2012
Wissenschaftlicher Mitarbeiter am Lehrstuhl für Fernerkundung der Universität Würzburg

10/2011 – 11/2011
Forschungsaufenthalt an Forest measurements and modeling laboratory , Dept. of Forestry, Michigan State University, USA.

10/2008 – 11/2011
Promotion (Dr. rer. nat) an der Albert-Ludwigs- Universität Freiburg im Rahmen des Stipendiums des deutschen akademischen Austausch Dienstes (DAAD) (Erstbetreuerin: Prof. Dr. Barbara Koch)

10/2003 – 06/2005
Masterstudium der Forstwissenschaften an der Universität Mazandaran (Iran) (Titel der Masterarbeit: Evaluating Landsat ETM+ data for forest-ecotone-rangeland mapping in the timberline of northern forests of Iran )

10/1999 – 06/2003
Bachelorstudium der Forstwissenschaften an der Universität Guilan (Iran)

Publikationen
  • Latifi, H. (2016) Remote sensing-assisted monitoring of bark beetle-induced tree mortality, Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing, Bialowieza, Poland.
     
  • Hill, S., Latifi, H., Heurich, M., and Müller, J. (2016) LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In FowiTa - Forstwirtschaftliche Tagung, p 123, Freiburg in Breisgau.
     
  • Latifi, H., Heurich, M., Hartig, F., Müller, J., Krzystek, P., H, J., and Dech, S. (2015) Crown density of over- and understory in mixed forest stands as explained by airborne LiDAR metrics, The 36th International Symposium on Remote Sensing of Environment.
     
  • Latifi, H., Fassnacht, F., Hartig, F., Berger, C., Hernandez, J., Corvalan, P., and Koch, B. (2015) Does a post-stratification of ground units improve the forest biomass estimation by remote sensing data? In The 36th International Symposium on Remote Sensing of Environment.
     
  • Latifi, H. (2014) From 3D point cloud to the stand: Experiences on small-scale inventory of forest structure by airborne remote sensing. In Proceedings of the International Workshop 3D Vegetation Mapping using Advanced Remote Sensing, St. Oswald.
     
  • Latifi, H., Gaub, V., Heurich, M., Krzystek, P., Müller, J., and Dech, S. (2014) A naive Bayes model to describe natural forest ground vegetation by waveform LiDAR metrics. In Proceedings of GfÖ – Annual Meeting, Hildesheim.
     
  • Latifi, H., Schumann, B., Fassnacht, F. E., and Dech, S. (2014) Dead stands from the space: multi-date imagery to map bark beetle binfestations. In Proceedings of ForestSAT, pp 4-7, Riva del Garda, Italy.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernández, J., Corvalán, P., and Koch, B. (2013) Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernandez, J., Corvalon, P., and Koch, B. (2013) Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Latifi, H., and Koch, B. (2011) Generalized spatial models of forest structure using airborne multispectral and laser scanner data. In Proceedings of ISPRS Workshop: High resolution earth imaging for geospatial information,, Hannover, Germany.
     
  • Latifi, H., Nothdurft, A., Straub, C., and Koch, B. (2010) Die Anwendung der optischen und LiDAR Merkmale für nicht-parametrische Modellierung der Waldstrukturattribute: Die Bedeutung eines geeigneten Variablenauswahlverfahrens. In Forstwissenschaftliche Tagung 2010: "Forstwissenschaften: Grundlage nachhaltiger Waldbewirtschaftung". 22.-24. September 2010. Georg-August Universität Göttingen.
     
  • Latifi, H., Nothdurft, A., Straub, C., and Koch, B. (2010) Optical/LiDAR feature search for nonparametric prediction of stratified forest attributes using an improved genetic procedure. In International Conference on LiDAR Applications for Assessing Forest Ecosystems (Silvilaser) 2010, 4.-17. September 2010, Freiburg.
     
  • Latifi, H., Nothdurft, A., and Koch, B. (2010) Using optical data and small footprint LiDAR for plot-level estimation of forest biomass in a central European landscape. In nternational Union of Forest Research Organisations (IUFRO) world congress, 23-27 August 2010, Seoul- Südkorea (Oral presentation). Abstracts in: International Forestry Reviews 12(5): 333.
     
  • Latifi, H., Fahimi, M., and Mozaffari, D. (2008) On the necessity and application of building a GIS-based data bank for Environmental Impact Assessments (case study: Lorestan and Ilam provinces). In Proceedings of the 2nd Regional Congress on Advances in Agriculture and Natural Resources Research. University of Kurdistan, Sanandaj-Iran.
     
  • Adeli, K., Latifi, H., and Oladi, D. (2006) Investigating Landsat ETM+ Data Potential for Forest Type Mapping in Southern Zagros- Iran. In Proceedings of National Geomatics Conference, Teheran, Iran.
     
  • Latifi, H., Oladi, D. S., and Jalilvand, H. (2005) Evaluating ETM+ Data to Produce Forest-Shrub land-Range maps in Neka- Zalemroud region, Northern Iran. In 2005 International Symposium on Remote Sensing (ISRS), Korean Society of Remote Sensing (KSRS), 12-14. Oktober 2005 Jeju-Südkorea.
     

Buchbeiträge

  • Latifi, H. (2011) Characterizing forest structure by means of remote sensing: a review. In Remote Sensing: advanced techniques and platforms (Escalante, B., Ed.), pp 4-28, Intech Open Access Publisher.
     
  • Hajiabadian, J., and Latifi, H. (2009) Using ArcGIS 9.2 Spatial/3D Analysts (Titidej, O., Ed.), Elm-e-Memar scientific and research institute,Teheran- Iran.
     

Konferenzbeiträge

Hill, S., Latifi, H., Heurich, M., Müller, J. 2016. LiDAR-gestützte Erfassung von Einzelbaum- und bestandesbasierter Waldentwicklung nach natürlichen Störungsprozessen. Forstwissenschaftliche Tagung 2016, 26. Bis 29. September 2016, Albert-Luswigs-Universität Freiburg.

Fassnacht, F.E., Mangold, D., Schäfer, J., Latifi, H 2016. Towards an “all-in-one sensor” for forestry applications – estimating forest density, species composition and biomass from stereo WorldView-2 data. ForestSAT 2016 Conference. 14-18 Nov. 2016. Santiago de Chile.

Hill, S., Latifi, H., Heurich, M., Müller, J. 2016. LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierte Waldentwicklung nach natürlichen Störungsprozessen. Forstwissenschaftliche Tagung, 26. - 29.09.2016, Freiburg, Germany 

Khare. S.,Latifi, H., Ghosh, S,K., 2016. Phenology analysis of forest vegetation to environmental variables during pre- and post-monsoon seasons in western Himalayan region of India. XXIII International Society of Photogrammetry and Remote Sensing congress, 12-19 July 2016, Prague-Czech Rrepublic.

Khare, S., Latifi, H., Ghosh, S.K., 2016. RapidEye Daten zur Erfassung von Pflanzenvielfalt in westlicher Himalaya-Region. RESA Workshop 2016: Von der Zustands- zur Prozessanalyse – Nutzung von Zeitreihen des RESA, 15-16 March 2016, Bonn-Germany.

Konferenzbeiträge

  • Latifi, H. (2016) Remote sensing-assisted monitoring of bark beetle-induced tree mortality, Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing, Bialowieza, Poland.
     
  • Hill, S., Latifi, H., Heurich, M., and Müller, J. (2016) LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In FowiTa - Forstwirtschaftliche Tagung, p 123, Freiburg in Breisgau.
     
  • Latifi, H., Heurich, M., Hartig, F., Müller, J., Krzystek, P., H, J., and Dech, S. (2015) Crown density of over- and understory in mixed forest stands as explained by airborne LiDAR metrics, The 36th International Symposium on Remote Sensing of Environment.
     
  • Latifi, H., Fassnacht, F., Hartig, F., Berger, C., Hernandez, J., Corvalan, P., and Koch, B. (2015) Does a post-stratification of ground units improve the forest biomass estimation by remote sensing data? In The 36th International Symposium on Remote Sensing of Environment.
     
  • Latifi, H. (2014) From 3D point cloud to the stand: Experiences on small-scale inventory of forest structure by airborne remote sensing. In Proceedings of the International Workshop 3D Vegetation Mapping using Advanced Remote Sensing, St. Oswald.
     
  • Latifi, H., Gaub, V., Heurich, M., Krzystek, P., Müller, J., and Dech, S. (2014) A naive Bayes model to describe natural forest ground vegetation by waveform LiDAR metrics. In Proceedings of GfÖ – Annual Meeting, Hildesheim.
     
  • Latifi, H., Schumann, B., Fassnacht, F. E., and Dech, S. (2014) Dead stands from the space: multi-date imagery to map bark beetle binfestations. In Proceedings of ForestSAT, pp 4-7, Riva del Garda, Italy.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernández, J., Corvalán, P., and Koch, B. (2013) Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernandez, J., Corvalon, P., and Koch, B. (2013) Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Latifi, H., and Koch, B. (2011) Generalized spatial models of forest structure using airborne multispectral and laser scanner data. In Proceedings of ISPRS Workshop: High resolution earth imaging for geospatial information,, Hannover, Germany.
     
  • Latifi, H., Nothdurft, A., Straub, C., and Koch, B. (2010) Die Anwendung der optischen und LiDAR Merkmale für nicht-parametrische Modellierung der Waldstrukturattribute: Die Bedeutung eines geeigneten Variablenauswahlverfahrens. In Forstwissenschaftliche Tagung 2010: "Forstwissenschaften: Grundlage nachhaltiger Waldbewirtschaftung". 22.-24. September 2010. Georg-August Universität Göttingen.
     
  • Latifi, H., Nothdurft, A., Straub, C., and Koch, B. (2010) Optical/LiDAR feature search for nonparametric prediction of stratified forest attributes using an improved genetic procedure. In International Conference on LiDAR Applications for Assessing Forest Ecosystems (Silvilaser) 2010, 4.-17. September 2010, Freiburg.
     
  • Latifi, H., Nothdurft, A., and Koch, B. (2010) Using optical data and small footprint LiDAR for plot-level estimation of forest biomass in a central European landscape. In nternational Union of Forest Research Organisations (IUFRO) world congress, 23-27 August 2010, Seoul- Südkorea (Oral presentation). Abstracts in: International Forestry Reviews 12(5): 333.
     
  • Latifi, H., Fahimi, M., and Mozaffari, D. (2008) On the necessity and application of building a GIS-based data bank for Environmental Impact Assessments (case study: Lorestan and Ilam provinces). In Proceedings of the 2nd Regional Congress on Advances in Agriculture and Natural Resources Research. University of Kurdistan, Sanandaj-Iran.
     
  • Adeli, K., Latifi, H., and Oladi, D. (2006) Investigating Landsat ETM+ Data Potential for Forest Type Mapping in Southern Zagros- Iran. In Proceedings of National Geomatics Conference, Teheran, Iran.
     
  • Latifi, H., Oladi, D. S., and Jalilvand, H. (2005) Evaluating ETM+ Data to Produce Forest-Shrub land-Range maps in Neka- Zalemroud region, Northern Iran. In 2005 International Symposium on Remote Sensing (ISRS), Korean Society of Remote Sensing (KSRS), 12-14. Oktober 2005 Jeju-Südkorea.
     
Weitere Informationen
Kontakt

Institut für Geographie und Geologie
Fernerkundung
Oswald-Külpe-Weg, Gebäude 86
97074 Würzburg

Tel. +49 931 31-88493
Mail l-geofernerkundung@uni-wuerzburg.de
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