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Dr. Hooman Latifi

 

Dr.rer.nat. Hooman Latifi
Department of Remote Sensing and Landscape Information Systems
University of Freiburg
Mailing address: D-79085 Freiburg, Germany
Delivery address: Tennenbacherstr. 4, D-79106 Freiburg, Germany
Tel.: +49-761-203-67394
hooman.latifi@felis.uni-freiburg.de

 

 

 

 

 

 

 

Key activities

  • Remote sensing (optical satellite data processing, aerial photography, LiDAR)

  • Classification of forest/landuse using remote sensing and other geospatial data
  • small-scale Forest inventory (statistical asessments)
  • applied statistics 
  • Modelling forest structural attributes using parametric/nonparametric methods
 

Curriculm Vitae

09/1995 - 06/1999       Payam-e-Shahid high school, Tehran-Iran, subject:natural sciences
10/1999 - 09/2003         B.Sc studies of forestry, University of Guilan-Iran
 
10/2003 - 09/2005         M.Sc studies of der forestry, University of Mazandaran-Iran
 
04/2006 - 04/2008        Forest and environmental consultant (GIS and remote sensing as key activities), Dept. of environment, Scetiran Consulting Engineers, Tehran, Iran 
 
09/2008 - 09/2011      Doctoral studies at the Dept. of Remote Sensing and Landscape Information Systems (Prof. Dr. Koch), Faculty of Forest and Environmental Studies, University of Freiburg.   
 
Awards
·         PhD scholarship from German Academic Exchange Service (DAAD): 2008-2011
 
 
Professional Experiences

02. 2012-                     Research associate            Dept. of Remote Sensing and Landscape Information Systems, University of Freiburg                       

04. 2006 - 04. 2008      Environmental consultant     Scetiran Consulting Engineers, Teheran
01. 2007 - 12. 2007       statistical consultant            Dept. of Environment of Iran (DOE)
09. 2007 - 04. 2008  FAO consultant (Project: Trends in forest ownership, forest resources tenure and institutional arrangements in Central Asia)               FAO-FOEP
 
 
Publications 
-          Book:
  • Latifi, H. 2012. Chacterizing forest structure by means of remote sensing: a review. In: Escalante. B (Ed.): Remote Sensing/Book 1. Intech Open Access Publisher [ISBN 979-953-307-231-8]. In Press.
  • Hajiabadian J. Latifi H. 2009. Using ArcGIS 9.2  Spatial/3D Analysts. Elm-e-Memar scientific and research institute, Tehran- Iran [ISBN 978-600-5344-26-4] .281p.

 

           

Teaching handbooks:
  • Latifi, H. 2009. Using R statistics for nearest neighbor prediction of forest variables: a handbook of theory and applications. Prepared for the Dept. of Remote Sensing and Landscape Information Systems (Felis), Freiburg. 23p.
 
Original Journal Articles
  • Latifi, H., Fassnacht, F., Koch, B. 2012. Forest structure modeling with combined airborne hyperspectral  and LiDAR data. Remote Sensing of Environment 121: 10-25.                                                                                 http://www.sciencedirect.com/science/article/pii/S0034425712000508     
  • Latifi, H., Koch, B., 2011.  Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands. International Journal of Remote Sensing. Accepted [In Press].                                                               
  • Fassnacht, F.,  Latifi, H., Koch, B. 2011. A new vegetation index to extract forest attributes from imaging spectroscopy data- preliminary results in Bavarian National Park. Submitted.
  • Latifi, H., Nothdurft, A., Straub, C., Koch, B. 2011. Modelling stratified forest attributes using optical/LiDAR features in a central European landscape. International Journal of Digital Earth 5(2): 106-132.                             http://www.tandfonline.com/doi/abs/10.1080/17538947.2011.583992                          
  • Latifi, H., Nothdurft, A., Koch, B. 2010. Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR–derived predictors. Forestry. 83(4): 395-407.  http://forestry.oxfordjournals.org/cgi/content/abstract/cpq022
  • Latifi, H., Galos, B. 2010. Remote sensing-supported vegetation parameters for regional climate models: a brief review. iForest (2010)3: 98-101.                                                                                                                    http://www.sisef.it/iforest/show.php?id=543
  • Latifi, H. Fahimi, M. 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). Proceedings of the 2nd Regional Congress on Advances in Agriculture and Natural Resources Research. University of Kurdistan, Sanandaj-Iran. 322pp.
  • Yachkaschi, A. Adeli, K. Latifi, H. Mohammadi, K, Seifollahian,M. 2008. Trends in forest ownership, forest resources tenure and institutional arrangements: Are they contributing to better forest management and poverty reduction? A case study of I.R Iran. Food and Agriculture Organization of the United Nations (FAO).                  http://www.fao.org/forestry/51565/en/irn/. 39p.
  •  Fadaei, F., Fallah, A., Latifi, H., Mohammadi, K. 2008. Determining the Best Form Factor Formula for Loblolly Pine (Pinus Taeda L.) Plantations at the Age of 18, in Guilan- Northern Iran. Caspian Journal of Environmental Sciences 6 (1): 19-24.                                                                                                                                  http://research.guilan.ac.ir/cjes/back_issues.php?v=6&n=1&y=2008
  • Latifi, H., Oladi, Dj, Saroei, S., and Jalilvand, H. 2007. An Evaluation of ETM+ Data Capability to Provide "Forest- Shrubland- Range" Map (A Case Study of Neka-Zalemroud, Mazandaran- Iran). Journal of Science and Technology of Agriculture and Natural Resources 11(2): 439-447.                                                                     http://jstnar.iut.ac.ir//browse.php?a_code=A-10-2-717&slc_lang=en&sid=1
  •  Sohrabi Seraj, B., Yachkaschi, A., Oladi, Dj., Teimouri, Sh, F., Latifi, H. 2008. The Recreational Valuation of a Northern Iranian Forest Park using Travel Cost Method. iForest (2): 85-92.                                                        http://www.sisef.it/iforest/show.php?id=497 
  • Latifi, H., Adeli, K. 2006. Forest type mapping using Landsat ETM+ data in southern Zagros. Naghsheh Bardari (Surveying) 83: 31-35.                                                                                                                                   http://www.ncc.org.ir/HomePage.aspx?TabID=4470&Site=NccPortal&Lang=en-US
  • Latifi, H., Oladi, Dj. 2006. Evaluating Landsat ETM+ Data Capability to Produce Forest Cover type Maps in the Timberline of Northern Forests of Iran. Taiwan Journal of Forest Science 21 (3) : 363-375.                                  http://www.tfri.gov.tw/enu/pub_science_in.aspx?pid=89&catid0=31&catid1=41&pg0=&pg1=1
  • Latifi, H., Oladi, Dj, Saroei, S. 2005. An Introduction to Multi Sensor Data Fusion Techniques and the Application in Satellite Image Analysis. Jangal& Martaa (Forest & Rangeland) (68& 69): 26-31 pp.                      http://www.frw.org.ir/DanesheManabeTabee/MajaleJangalVaMarta/pageid/50/language/fa-IR/Default.aspx#T-69
 
As Reviewer:
  • Forest Ecology and Management (Elsevier)
  • Environmental Earth Sciences (Springer)
  • International Journal of Digital Earth (Taylor & Francis)
  • Canadian Journal of Remote Sensing
 

 
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