piwik-script

English Intern
Institut für Geographie und Geologie

Dr. Hooman Latifi

   +98 (0)21 88877070-3 (Ext. 312)
   
 hooman.latifi@kntu.ac.ir

Faculty of Geodesy and Geomatics Engineering
K. N. Toosi University of Technology
No. 1346, Valiasr Str., Mirdamad crossing
19967-15433 Tehran- Iran

nach Vereinbarung

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)

2016

  • Latifi, H. (2016): Remote sensing-assisted monitoring of bark beetle-induced tree mortality. In: Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing
     
  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2016): LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In: FowiTa - Forstwirtschaftliche Tagung, 123.
     

2015

  • Latifi, H.; Fassnacht, F.; Hartig, F.; Berger, C.; Hernandez, J.; Corvalan, P.; 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.; Heurich, M.; Hartig, F.; Müller, J.; Krzystek, P.; H, J.; Dech, S. (2015): Crown density of over- and understory in mixed forest stands as explained by airborne LiDAR metrics. In: The 36th International Symposium on Remote Sensing of Environment
     

2014

  • Latifi, H.; Schumann, B.; Fassnacht, F. E.; Dech, S. (2014): Dead stands from the space: multi-date imagery to map bark beetle binfestations. In: Proceedings of ForestSAT, 4-7.
     
  • Latifi, H.; Gaub, V.; Heurich, M.; Krzystek, P.; Müller, J.; Dech, S. (2014): A naive Bayes model to describe natural forest ground vegetation by waveform LiDAR metrics. In: Proceedings of GfÖ – Annual Meeting
     
  • 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
     

2013

  • Fassnacht, F. E.; Hartig, F.; Latifi, H.; Berger, C.; Hernandez, J.; Corvalon, P.; 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.; Hernández, J.; Corvalán, P.; 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.
     

2011

  • Latifi, H.; 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,International Archives of the Photogrammetry, Remote sensing and Spatial Information Sciences,
     

2010

  • Latifi, H.; Nothdurft, A.; Straub, C.; 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.; 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.; Nothdurft, A.; Straub, C.; 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
     

2008

  • 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). In: Proceedings of the 2nd Regional Congress on Advances in Agriculture and Natural Resources Research. University of Kurdistan, Sanandaj-Iran
     

2006

  • Adeli, K.; Latifi, H.; Oladi, D. (2006): Investigating Landsat ETM+ Data Potential for Forest Type Mapping in Southern Zagros- Iran. In: Proceedings of National Geomatics Conference
     

2005

  • Latifi, H.; Oladi, D. S.; 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
     

2018

  • Latifi, H.; Dahms, T.; Beudert, B.; Heurich, M.; Kübert, C.; Dech, S. (2018): Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles. In: GIScience & Remote Sensing, 55 (6), 839-859.
     

2017

  • Latifi, H.; Hill, S.; Schumann, B.; Heurich, M.; Dech, S. (2017): Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. In: Forestry
     
  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2017): Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. In: Ecological Informatics, 38, 12 - 25.
     
  • Khare, S.; Latifi, H.; Ghosh, S. K. (2017): Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data. In: Geocarto International, 1-18.
     
  • Wang, Z.; Skidmore, A. K.; Wang, T.; Darvishzadeh, R.; Heiden, U.; Heurich, M.; Latifi, H.; Hearne, J. (2017): Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. In: International Journal of Applied Earth Observation and Geoinformation, 54, 84 - 94.
     
  • Fassnacht, F. E.; Mangold, D.; Schäfer, J.; Immitzer, M.; Kattenborn, T.; Koch, B.; Latifi, H. (2017): Estimating stand density, biomass and tree species from very high resolution stereo-imagery textendash towards an all-in-one sensor for forestry applications?. In: Forestry: An International Journal of Forest Research, 1-19.
     
  • Khare, S.; Ghosh, S. K.; Latifi, H.; Vijay, S.; Dahms, T. (2017): Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data. In: International Journal of Remote Sensing, 38 (15), 4418-4442.
     
  • Karami, O.; Fallah, A.; Shataee, S.; Latifi, H. (2017): Investigation on the feasibility of mapping of oak forest dieback severity using Worldview-2 satellite data (Case study: Ilam forests). In: Iranian Journal of Forest and Poplar Research, 25 (3), 452-462.
     
  • Aryal, R. R.; Latifi, H.; Heurich, M.; Hahn, M. (2017): Impact of Slope, Aspect, and Habitat-Type on LiDAR-Derived Digital Terrain Models in a Near Natural, Heterogeneous Temperate Forest. In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
     
  • Latifi, H.; Koch, B. (2017): Editorial for the Special Issue "Remote Sensing-assisted forest inventory". In: Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 85 (4), 211-212.
     

2016

  • Fassnacht, F. E.; Latifi, H.; Stereńczak, K.; Modzelewska, A.; Lefsky, M.; Waser, L. T.; Straub, C.; Ghosh, A. (2016): Review of studies on tree species classification from remotely sensed data. In: Remote Sensing of Environment, 186, 64 - 87.
     
  • Khare, S.; Latifi, H.; Ghosh, K. (2016): Phenology Analysis of Forest Vegetation to Environmental Variables during pre-and Post-Monsoon Seasons in Western Himalayan Region of India. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 15-19.
     
  • Latifi, H.; Heurich, M.; Hartig, F.; Müller, J.; Krzystek, P.; Jehl, H.; Dech, S. (2016): Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data. In: Forestry, 89 (1), 69-81.
     

2015

  • Heurich, M.; Krzystek, P.; Polakowski, F.; Latifi, H.; Krauss, A.; Müller, J. (2015): Erste Waldinventur auf Basis von Lidardaten und digitalen Luftbildern im Nationalpark Bayerischer Wald. In: Forstliche Forschungsberichte München, 2015 (214), 101-103.
     
  • Latifi, H.; Fassnacht, F. E.; Müller, J.; Tharani, A.; Dech, S.; Heurich, M. (2015): Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. In: International Journal of Applied Earth Observation and Geoinformation, 162-174.
     
  • Latifi, H.; Fassnacht, F. E.; Hartig, F.; Berger, C.; Hernández, J.; Corvalán, P.; Koch, B. (2015): Stratified aboveground forest biomass estimation by remote sensing data. In: International Journal of Applied Earth Observation and Geoinformation, 38, 229 - 241.
     

2014

  • Wegmann, M.; Santini, L.; Leutner, B.; Safi, K.; Rocchini, D.; Bevanda, M.; Latifi, H.; Dech, S.; Rondinini, C. (2014): Role of African protected areas in maintaining connectivity for large mammals. In: Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1643)
     
  • Latifi, H.; Schumann, B.; Kautz, M.; Dech, S. (2014): Spatial characterization of bark beetle infestations by a multi-date synergy of SPOT and Landsat imagery. In: Environmental Monitoring and Assessment, 186, 441-456.
     
  • Latifi, H.; Fassnacht, F. E.; Schumann, B.; Dech, S. (2014): Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date Landsat and SPOT satellite imagery. In: Progress in Physical Geography, 1–31.
     
  • Fassnacht, F. E.; Hartig, F.; Latifi, H.; Berger, C.; Hernández, J.; Corvalán, P.; Koch, B. (2014): Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. In: Remote Sensing of Environment, 154, 102-114.
     
  • Naghavi, H.; Fallah, A.; Shataee, S.; Latifi, H.; Soosani, J.; Ramezani, H.; Conrad, C. (2014): Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data. In: Journal of Applied Remote Sensing, 8 (1), 083524.
     
  • Fassnacht, F. E.; Latifi, H.; Ghosh, A.; Joshi, P. K.; Koch, B. (2014): Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality. In: Remote Sensing of the Environment, 140, 533-548.
     

2012

  • Fassnacht, F. E.; Latifi, H.; Koch, B. (2012): An angular vegetation index for imaging spectroscopy data. Preliminary results on forest damage detection in the Bavarian National Park, Germany. In: International Journal of Applied Earth Observation and Geoinformation, 19, 308 - 321.
     
  • Latifi, H.; Nothdurft, A.; Straub, C.; Koch, B. (2012): Modelling stratified forest attributes using Optical/LiDAR features in a central European landscape. In: International Journal of Digital Earth, 5(2), 106-132.
     
  • Latifi, H.; Koch, B. (2012): Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands. In: International Journal of Remote Sensing, 33 (21), 6668-6694.
     
  • Latifi, H.; Fassnacht, F.; Koch, B. (2012): Forest structure modeling with combined airborne hyperspectral and LiDAR data. In: Remote Sensing of Environment, 121, 10--25.
     

2010

  • Latifi, H.; Galos, B. (2010): Remote sensing-supported vegetation parameters for regional climate models: a brief review. In: iForest - Biogeosciences and Forestry, (4), 98-101.
     
  • 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. In: Forestry, 83 (4), 395--407.
     

2009

  • Sohrabi Saraj, B.; Yachkaschi, A.; Oladi, D.; Fard Teimouri, S.; H, L. (2009): The recreational valuation of a natural forest park using travel cost method in Iran. In: iForest - Biogeosciences and Forestry, (3), 85-92.
     

2008

  • 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. In: Caspian Journal of Environmental Sciences, 6 (1), 19--24.
     

2007

  • Latifi, H.; Oladi, D.; Saroei, S.; Jalilvand, H. (2007): An Evaluation of ETM+ Data Capability to Provide "Forest- Shrubland- Range" Map. A Case Study of Neka-Zalemroud, Mazandaran- Iran). In: Journal of Science and Technology of Agriculture and Natural Resources, 11(2), 439-447.
     

2006

  • Latifi, H.; Adeli, K. (2006): Forest type mapping using Landsat ETM+ data in southern Zagros. In: Naghsheh Bardari (Surveying), 83, 31-35.
     
  • Latifi, H.; Oladi, D. (2006): Evaluating Landsat ETM+ Data Capability to Produce Forest Cover type Maps in the Timberline of Northern Forests of Iran. In: Taiwan Journal of Forest Science, 21(3), 363-375.
     

2005

  • Latifi, H.; Oladi, D. S. (2005): An Introduction to Multi Sensor Data Fusion Techniques and the Application in Satellite Image Analysis.. In: Jangal & Martaa (Forests and Rangelands), 68& 69, 26-31.