PD. Dr. Hooman Latifi  

 

Assistant Professor 

Department of Photogrammetry and Remote Sensing 

Faculty of Geodesy and Geomatics Engineering 

K. N. Toosi University of Technology 

No. 1346, Valiasr Str., Mirdamad crossing 

Postal Code: 19967-15433 Tehran- Iran  

Tel. +98-(0)21-88877070-3 (Ext. 312) 

Email: hooman.latifi[at]kntu.ac.ir 

 

Web:

url: https://en.kntu.ac.ir/geomatics/

url: http://cv.kntu.ac.ir/HoomanLatifi  

url: http://sid.kntu.ac.ir/31585

url: ResearchGate

url: Google Scholar

url: Scopus

url: ORCID

url. Publons

 

Associate Professor 

Department of Remote Sensing 

Institute of Geography and Geology 

Julius-Maximilians-University Würzburg 

Oswald-Külpe-Weg 86 

D-97074 Würzburg- Germany

  

Consultation time 

Upon request

 

Main Research fields and interests 

 

Current undergraduate (UG) and postgraduate (PG) courses

·                             
Professional experience

Since 02/2018 
Assistant professor at the Dept. of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology.Tehran-Iran

Since 02/2018 
Associate professor (PD Dr. habil. rer. nat. ) at the Dept. of Remote Sensing, Institute of Geography and Geology, Julius- Maximilians- University of Wuerzburg, Wüerzburg-Germany

Since 06/2012
Scientist at the Dept. of Remote Sensing, Julius- Maximilians- University of Wuerzburg.

2012- 2013
Scientist within the project: Remote Sensing of Natural Hazards and Disasters in a Climate Changing World (IKYDA). Research focus: Use of remote sensing for natural hazard monitoring.

02/2012-05/2012
Scientist within the project: developing a GIS-infrastructure for deriving liming areas for forest research institute of Baden Württemberg

10/2008 - 11/2011
Doctoral dissertation in der Dept. of remote sensing and landscape information systems of the University of Freiburg (Title: The use of nonparametric methods for small-scale forest inventory by means of multiple remote sensing data sources )

11/2007 - 06/2008
Consultant of the Food and Agriculture Organisation of the United Nations (FAO) (Project: Trends in forest ownership, forest resources tenure and institutional arrangements in Central Asia)

 

Education/ academic experience 

06/2012 - 02/2018
Habilitand in the Dept. of Remote Sensing, University of Wuerzburg

10/2011 – 11/2011
Research stay at Forest measurements and modeling laboratory, Dept. of Forestry, Michigan State University, USA.

10/2008 – 11/2011
Doctoral studies (Dr. rer. nat) of Remote sensing/ Forestry at der Albert-Ludwigs- Universität Freiburg, funded by scholarship from German Academic Exchange Service (DAAD) (first supervisor: Prof. Dr. Barbara Koch)

10/2003 – 06/2005
M.Sc studies of Forestry at the Faculty of Natural Resources, University of Mazandaran (Iran) (Title of M.Sc thesis: Evaluating Landsat ETM+ data for forest-ecotone-rangeland mapping in the timberline of northern forests of Iran )

10/1999 – 06/2003
B.Sc studies of Foretrry at the Faculty of Natural Resources, University of Guilan (Iran)

  

 Peer-reviewed Journal publications          

-           Siddhartha Khare, Hooman Latifi, Sergio Rossi: A 15-year spatio-temporal analysis of plant β-diversity using Landsat time series derived Rao’s Q index. Ecological Indicators 2019,106. DOI: 10.1016/j.ecolind.2020.107105

-           Zahra Hosseini,  Hooman Latifi, Hamed Naghavi, Siavash Bakhtiarvand, Fabian Ewald Fassnacht: Influence of plot and sample sizes on aboveground biomass estimations in plantation forests using very high resolution stereo satellite imagery. Forestry. DOI:10.1093/forestry/cpaa028

-           Seyed Mehdi Rezaei Sangdehi, Asghar Fallah, Jafar Oladi, Hooman Latifi: Effect of Altitude Gradient on Quantitative Characteristics of Forest Stands (Case Study: District-3 of Sangdeh Forests). Journal of Wood and Forest Science Technology 27,1. DOI:10.22069/jwfst.2019.16794.1817. (In Persian)

-           Krzysztof Sterenczak, Gaia Vaglio Laurin, Gherardo Chirici, David A. Coomes, Michele Dalponte, Hooman Latifi, Nicola Puletti: Global Airborne Laser Scanning Data Providers Database (GlobALS)—A New Tool for Monitoring Ecosystems and Biodiversity. Remote Sensing 2020. 12, 1877; DOI:10.3390/rs12111877

-           Elham Karimzadeh Jafari, Hamed Naghavi, Kamran Adeli, Hooman Latifi: A nondestructive, remote sensing-based estimation of the economic value of aboveground temperate forest biomass (case study: Hyrcanian forests, Nowshahr-iran). Journal of Sustainable Forestry 2020. DOI: 10.1080/10549811.2020.1723645

-           Zahra Hosseini, Hamed Naghavi, Hooman Latifi, Siavash Bakhtiarvand: Estimating biomass and carbon sequestration of plantations around industrial areas using very high resolution stereo satellite imagery. iForest- Biogeosciences and Forestry 2019,12. DOI: 10.3832/ifor3155-012

-           Hooman Latifi, Ruben Valbuena: Current Trends in Forest Ecological Applications of Three-Dimensional Remote Sensing: Transition from Experimental to Operational Solutions?. Forests 2019,10,891. DOI: 10.3390/f10100891

-           Mohammad Sadegh Ataee, Yasser Maghsoudi, Hooman Latifi, Farhad Fadaie: Improving Estimation Accuracy of Growing Stock by Multi-Frequency SAR and Multi-Spectral Data over Iran's Heterogeneously-Structured Broadleaf Hyrcanian Forests. Forests 2019,106. DOI: 10.3390/f10080641

-           Siddhartha Khare, Hooman Latifi, Sergio Rossi: Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao's Q index. Ecological Indicators 2019,106. DOI: 10.1016/j.ecolind.2019.105520

-           Siddhartha Khare, Hooman Latifi, Sergio Rossi, Sanjay Kumar Ghosh: Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries. Forests 2019,11,540. DOI: 10.3390/f10070540

-           Hooman Latifi, Marco Heurich: Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects. Remote Sensing 2019,11,1260. DOI: 10.3390/rs11111260

-           Leila Soleimannejad, Amir Eslam Bonyad, Ramin Naghdi, Hooman Latifi: Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests). Journal of Forest Research and Development, 4(4), 415-434. (In Persian)

-           Mareike Kortmann, Marco Heurich, Hooman Latifi, Sascha Rösner, Rupert Seidl, Jörg Müller, Simon Thorn: Forest structure following natural disturbances and early succession provides habitat for two avian flagship species, capercaillie (Tetrao urogallus) and hazel grouse (Tetrastes bonasia). Biological Conservation: DOI:10.1016/j.biocon.2018.07.014

-           Ramiro Silveyra Gonzalez, Hooman Latifi, Holger Weinacker, Matthias Dees, Marco Heurich, Barbara Koch: Integrating LiDAR and high-resolution imagery for object-based mapping of forest habitats in a heterogenuous temperate forest landscape. International Journal of Remote Sensing: DOI:10.1080/01431161.2018.1500071

-           Soyeon Bae, Jörg Müller, Dowon Lee, Kerry Vierling, Jody Vogeler, Lee Vierling, Andrew Hudak, Hooman Latifi, Simon Thorn: Taxonomic, functional and phylogenetic diversity of bird assemblages are oppositely associated to productivity and heterogeneity in temperate forests. Remote Sensing of Environment: DOI:10.1016/j.rse.2018.05.031

-           Fabian Ewald Fassnacht, Hooman Latifi, Florian Hartig: Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR. Remote Sensing of Environment: DOI:10.1016/j.rse.2018.05.007

-           Hooman Latifi, Thorsten Dahms, Burkhart Beudert, Marco Heurich, Carina Kuebert, Stefan Dech: Synthetic RapiidEye data used for the detection of area-based spruce tree mortality induced by bark beetles. GIScience and Remote Sensing, 2018: DOI:10.1080/15481603.2018.1458463

-           Marius Röder, Hooman Latifi, Steven Hill, Jan Wild, Miroslav Svoboda, Josef Brůna, Martin Macek, Markéta H. Nováková, Eberhard Gülch, Marco Heurich: Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests. International Journal of Remote Sensing 02/2018: DOI:10.1080/01431161.2018.1441568

-           Hooman Latifi, Barbara Koch: Editorial for the Special Issue of PFG "Remote Sensing-assisted Forest Inventory". Photogrammetrie - Fernerkundung - Geoinformation 11/2017; 85(4):211-212., DOI:10.1007/s41064-017-0036-x

-           Omid Karami, Asghar Fallah, Shaban Shataee, Hooman Latifi: Investigation on the feasibility of mapping of oak forest dieback severity using Worldview-2 satellite data (Case study: Ilam forests). Iranian Journal of Forest and Poplar Research; DOI:10.22092/ijfpr.2017.112879. (In Persian)

-           Omid Karami, Asghar Fallah, Shaban Shataee, Hooman Latifi: Assessment of geostatistical and interpolation methods for mapping forest dieback intensity in Zagros forests. Caspian Journal of Environmental Sciences; 16(1): 73-86

-           Raja Ram Aryal, Hooman Latifi, Marco Heurich, Michael Hahn: Impact of Slope, Aspect, and Habitat-Type on LiDAR-Derived Digital Terrain Models in a Near Natural, Heterogeneous Temperate Forest. Photogrammetrie - Fernerkundung - Geoinformation 09/2017;, DOI:10.1007/s41064-017-0023-2

-           Siddhartha Khare, Sanjay Kumar Ghosh, Hooman Latifi, Saurabh Vijay, Thorsten Dahms: Seasonal-based analysis of vegetation response to environmental variables in mountainous forests of Western Himalaya using Landsat 8 data. International Journal of Remote Sensing 05/2017; 38(15):4418-4442., DOI:10.1080/01431161.2017.1320450

-           Fabian Ewald Fassnacht, Daniel Mangold, Jannika Schäfer, Markus Immitzer, Teja Kattenborn, Barbara Koch, Hooman Latifi: Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications? Forestry 03/2017; 90(5)., DOI:10.1093/forestry/cpx014

-           Steven Hill, Hooman Latifi, Marco Heurich, Jörg Müller: Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. Ecological Informatics 03/2017; 38:12-25., DOI:10.1016/j.ecoinf.2016.12.004

-           Siddhartha Khare, Hooman Latifi, Sanjay Kumar Ghosh: Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data. Geocarto International 02/2017;, DOI:10.1080/10106049.2017.1289562

-           Hooman Latifi, Steven Hill, Bastian Schumann, Marco Heurich, Stefan Dech: Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. Forestry 01/2017; 90:496-514., DOI:10.1093/forestry/cpw066

-           Zhihui Wang, Andrew K. Skidmore, Tiejun Wang, Roshanak Darvishzadeh, Uta Heiden, Marco Heurich, Hooman Latifi, John Hearne: Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. International Journal of Applied Earth Observation and Geoinformation 09/2016; 54:84-94., DOI:10.1016/j.jag.2016.09.008

-           Fabian Ewald Fassnacht, Hooman Latifi, Krzysztof Stereńczak, Aneta Modzelewska, Michael Lefsky, Lars T Waser, Christoph Straub, Aniruddha Ghosh: Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment 08/2016; 186(214):64-87., DOI:10.1016/j.rse.2016.08.013

-           Siddhartha Khare, Hooman Latifi, Sanjay Kumar Ghosh: Phenology Analysis of Forest Vegetation to Environmental Variables during pre-and Post-Monsoon Seasons in Western Himalayan Region of India. 06/2016; XLI-B2(214):15-19., DOI:10.5194/isprsarchives-XLI-B2-15-2016

-           Fabian Ewald Fassnacht, Hooman Latifi, Krzysztof Stereńczak, Michael Lefsky, Christoph Straub, Lars T. Waser, Aniruddha Gosh, Aneta Modzelewska: Review of studies on tree species classification fromremotely sensed data. Remote Sensing of Environment 01/2016; 184.

-           Hooman Latifi, Marco Heurich, Florian Hartig, Jörg Müller, Peter Krzystek, Hans Jehl, Stefan Dech: Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data. Forestry 09/2015;, DOI:10.1093/forestry/cpv032

-           Hooman Latifi, Fabian E. Fassnacht, Jörg Müller, Agalya Tharani, Stefan Dech, Marco Heurich: Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. International Journal of Applied Earth Observation and Geoinformation 06/2015;, DOI:10.1016/j.jag.2015.06.008

-           Hooman Latifi, Fabian Ewald Fassnacht, Florian Hartig, Christian Berger, Jaime Hernandez, Patricio Corvalan, Barbara Koch: Stratified Aboveground Forest Biomass Estimation by Remote Sensing Data. International Journal of Applied Earth Observation and Geoinformation 02/2015; 38:229-241., DOI:10.1016/j.jag.2015.01.016

-           Marco Heurich, Peter Krzystek, Fabian Polakowsky, Hooman Latifi, Andreas Krauss, Jörg Müller: Erste Waldinventur auf Basis von Lidardaten und digitalen Luftbildern im Nationalpark Bayerischer Wald. Forstliche Forschungsberichte München.

-           Hamed Naghavi, Asghar Fallah, Shaban Shataee, Hooman Latifi, Javad Soosani, Habib Ramezani, Christopher Conrad: Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data. Journal of Applied Remote Sensing 11/2014; 8(1):083524., DOI:10.1117/1.JRS.8.083524

-           Hooman Latifi, Fabian Ewald Fassnacht, Bastian Schumann, Stefan Dech: Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery. Progress in Physical Geography 10/2014; 38(6):755-785., DOI:10.1177/0309133314550670

-           Fabian Ewald Fassnacht, Florian Hartig, Hooman Latifi, Christian Berger, Jaime Hernández, Patricio Corvalán, Barbara Koch: Importance of sample size. data type and prediction method for remote sensing-based estimations of aboveground forest biomass. Remote Sensing of Environment 07/2014; 154:102-114., DOI:10.1016/j.rse.2014.07.028

-           Martin Wegmann, Luca Santini, Benjamin Leutner, Kamran Safi, Duccio Rocchini, Mirjana Bevanda, Hooman Latifi, Stefan Dech, Carlo Rondinini: Role of African protected areas in maintaining connectivity for large mammals. Philosophical Transactions of The Royal Society B Biological Sciences 05/2014; 369(1643):20130193., DOI:10.1098/rstb.2013.0193

-           Fabian Ewald Fassnacht, Hooman Latifi, Anuruddha Ghosh, Paawan Kuar Joshi, Barbara Koch: Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality. Remote Sensing of Environment 01/2014; 140:533-548., DOI:10.1016/j.rse.2013.09.014

-           Hooman Latifi, Bastian Schumann, Markus Kautz, Stefan Dech: Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery. Environmental Monitoring and Assessment 09/2013; 186(1)., DOI:10.1007/s10661-013-3389-7

-           Hooman Latifi, Barbara Koch: 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 11/2012; 33(21):6668-6694., DOI:10.1080/01431161.2012.693969

-           Hooman Latifi, Fabian Fassnacht, Barbara Koch: Forest structure modeling with combined airborne hyperspectral and LiDAR data. Remote Sensing of Environment 06/2012; 121:10–25., DOI:10.1016/j.rse.2012.01.015

-           Fabian Ewald Fassnacht, Hooman Latifi, Barbara Koch: An angular vegetation index for imaging spectroscopy data-Preliminary results: On forest damage detection in the Bavarian National Park, Germany. International Journal of Applied Earth Observation and Geoinformation 05/2012; 19(1):308–321., DOI:10.1016/j.jag.2012.05.018

-           Hooman Latifi, Arne Nothdurft, Christoph Straub, Barbara Koch: Modelling stratified forest attributes using optical/LiDAR features in a central European landscape. International Journal of Digital Earth 03/2012; 5:106-132., DOI:10.1080/17538947.2011.583992

-           Hooman Latifi, Arne Nothdurft, Barbara Koch: Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: Application of multiple optical/LiDAR-derived predictors. Forestry 09/2010; 83(1)., DOI:10.1093/forestry/cpq022

-           Hooman Latifi, Borbala Galos: Remote sensing-supported vegetation parameters for regional climate models: A brief review. iForest - Biogeosciences and Forestry 07/2010; 3(1)., DOI:10.3832/ifor0543-003

-           Sohrabi Saraj B, A Yachkaschi, D Oladi, Fard Teimouri S, H Latifi: The recreational valuation of a natural forest park using travel cost method in Iran. iForest - Biogeosciences and Forestry 06/2009; 2(1)., DOI:10.3832/ifor0497-002

-           Farhad Fadaei, Asghar Fallah, Hooman Latifi, Kiumars Mohammadi: 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.

-           Hooman Latifi, Jafar Oladi, Saeid Saroei, Hamid Jalilvand: Evaluating ETM+ Data Capability to Provide ‘ Forest- Shrub land- Range’ Map (A Case Study of Neka- Zalemroud Region- Mazandaran- Iran). Journal of Science and Technology in Agriculture and Natural Resources (In Persian)

 -          Hooman Latifi, Jafar Oladi: Evaluating Landsat ETM+ Data Capability to Produce Forest Cover type Maps in the Timberline of Northern Forests of Iran. Taiwan Journal of Forest Science 09/2006; 21(3)(3):363-375.

 

Journal Editorships

Methods in Ecology and Evolution (Wiley): Associate Editor. Link

Forestry (Oxford University Press): Editor. Link

Forests (MDPI) Special Issue: 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function. Link

Iranian Journal of Forest and Poplar Research: Language Editor. Link

Photogrammetrie-Fernerkundung-Geoinformation (Springer) Special Issue: Remote Sensing-assisted inventory of forest attributes. Link

Forests (MDPI) Special Issue: New Applications Based on Advanced Remote Sensing Data in Forests and Wood Land Areas. Link

Remote Sensing (MDPI) Special Issue: Remote Sensing Based Forest Inventories from Landscape to Global Scale. Link

Remote Sensing (MDPI) Special Issue: Optimizing the Usages of High-Spatial Resolution Remote Sensing Data: from Precision Resources Inventory to Operational Forestry. Link

Remote Sensing (MDPI) Special Issue: Remote Sensing for Wetland Inventory, Mapping and Change Analysis. Link


Languages 

Persian (Farsi): Mother tongue 

English: Native level

German: Native level  

French: Intermediate level  

  

Awards 

K.N. Toosi University of Technology: Young researcher of the year (2019)

Iran´s National Elites Foundation: Dr. Kazemi Ashtiani Prize (2018)

German Academic Exchange Service (DAAD) full PhD scholarship: (2008-2011)