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

url: https://en.kntu.ac.ir/faculties/geodesy-geomatics-engineering/

url: https://www.researchgate.net/profile/Hooman_Latifi

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 (Feb.- July 2020)

Upon request


Main Research fields and Research Interests
  • Environmental applications of remote sensing (tree species, forest structure, biodiversity and vegetation health)
  • LiDAR
  • forest inventory
  • spatial statistics


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.

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)


Publication highlights
Book chapters

Hooman Latifi: Characterizing Forest Structure by Means of Remote Sensing: A Review. Remote Sensing-Advanced techniques and platforms, Edited by Boris Escalante-Ramírez, 06/2012: chapter Characterizing Forest Structure by Means of Remote Sensing: A Review: pages 1-26; InTech Open Access., ISBN: 978-953-51-0652-4, DOI:10.5772/1808


Translated books

Hajiabadian, J., Latifi, H. 2009. Using ArcGIS Spatial/3D analysts. Elm-e-Memar Sciientific and Research Institute, Tehran-Iran [ISBN 978-600-5344-26-4]. 281 p.


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.

- 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.

- 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.


 Conference proceedings


- Melika Bayat, Hooman Latifi, Ali Hosseininaveh.: The Architecture of a Streeo Image Based System to Measure Tree Geometric Parameters, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W18, 183–189, https://doi.org/10.5194/isprs-archives-XLII-4-W18-183-2019, 2019.

- Seyed Arvin Fakhri, Sajad Sayadi, Hooman Latifi., Siddhartha Khare. An optimized Enhanced Vegetation Index for Sparse Tree Cover Mapping across a Mountainous Region. IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). DOI: 10.1109/MetroAgriFor.2019.8909259

- Elham Shafeian, Fabian E. Fassnacht, Hooman Latifi: A review of forest decline with a special focus on oak forests of Iran.  Proceedings of 6th International Conference on Plants and Environmental Pollution (ICPEP-6). 27th-30th of November 2018. Locknow-India

- Marius Röder, Eberhard Gülch, Hooman Latifi: Eignungsprüfung einer UAV-basierten Forstinventur als Ersatz zu traditionellen Feldverfahren in Verjüngungsbeständen. 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in München- Publikationen der DGPF, Band 27, 2018 . 

- Siddhartha Khare, Hooman Latifi, Sanjay Ghosh: Full satellite remote sensing based approach to assess the plant and tree species diversity using high and very high spatial resolution multi-spectral data. Geophysical Research Abstracts, VOL 20, EGU2018-665. European Geosciences Union General Assembly, Vienna- Austria. 

- Steven Hill, Hooman Latifi, Marco Heurich, Jörg Müller: LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierte Waldentwicklung nach natürlichen Störungsprozessen. Forstwissenschaftliche Tagung 2016 (Fowita), Freiburg; 09/2016

- Siddhartha Khare, Hooman Latifi, Sanjay Ghosh: Phenology Analysis of Forest Vegetation to Environmental Variables during pre-and Post-Monsoon Seasons in Western Himalayan Region of India. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/15/2016/; 06/2016, DOI:10.5194/isprs-archives-XLI-B2-15-2016

- Hooman Latifi: Remote sensing-assisted monitoring of bark beetle-induced tree mortality. Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing, Bialowieza, Poland; 01/2016

- Hooman Latifi, Marco Heurich, Florian Hartig, Peter Krzystek, Hans Jehl, Stefan Dech: 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 (ISRSE), Berlin; 05/2015

- Hooman Latifi, Fabian Fassnacht, Florian Hartig, Christian Berger, J Hernandez, Barbara Koch: Does a post-stratification of ground units improve the forest biomass estimation by remote sensing data?. The 36th International Symposium on Remote Sensing of Environment (ISRSE); 01/2015

- Hooman Latifi, Bastian Schumann, Fabian E Fassnacht, Stefan Dech: Dead stands from the space: multi-date imagery to map bark beetle infestations. ForestSat 2014, Riva Del Garda- Italy; 11/2014

- Fabian Ewald Fassnacht, F. Hartig, Hooman Latifi, M.  BERGER, Barbara Koch: Combination of EO1-Hyperion and LIDAR to estimate biomass in a highly complex second growth native forest in Central Chile Autor Principal. Latin American Remote Sensing week (LARS 2013), Santiago de Chile; 10/2013

- Hooman Latifi, Barbara Koch: Generalized spatial models of forest structure using airborne multispectral and LaSER scanner data. Proceedings of ISPRS Workshop: High resolution earth imaging for geospatial information, Hannover, Germany; 03/2011, DOI:10.5194/isprsarchives-XXXVIII-4-W19-173-2011

- Hooman Latifi, Arne Nothdurft, Christoph Straub, Barbara Koch: Optical/LiDAR feature search for nonparametric prediction of stratified forest attributes using an improved genetic procedure. Silvilaser 2010, Freiburg, Germany; 09/2010


Technical reports

Siddhartha Khare, Hooman Latifi, Sanjay Kumar Ghosh: Training module: Point Cloud Data and DSM Generation using High-Spatial Resolution Optical Stereo Pair Satellite Data. Affiliation: University of Wuerzburg, Germany and IIT Roorkee, India, DOI:10.13140/RG.2.2.31227.21288

Marius Röder, Steven Hill, Hooman Latifi: Best practice tutorial: Technical handling of the UAV "DJI Phantom 3 Professional" and processing of the acquired data. Affiliation: Dept. of Remote Sensing, University of Würzburg, DOI:10.13140/RG.2.2.36355.91680




Important, Focused, Outstanding, Valuable. Interview with Hooman Latifi. SPECTRUM:  The Official Newsletter of the ISPRS Student Consortium, 11(4). March 2018. 9pp.


Journal Editorships

Forestry (Oxford University Press): Editorial Board member. Link

Forests 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 (PFG) Special Issue: Remote Sensing-assisted inventory of forest attributes. Link

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

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

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

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


Scholarshups and Awards

Full Doctoral Scholarship (2008-2011), German Academic Exchange Service (DAAD)  

DAAD travel grant (2014), German Academic Exchange Service (DAAD)

Jubiläumsstiftung of the University of Wuerzburg Travel grant  (2014), University of Würzburg

Dr. Kazemi Ashtiani prize (2016), National Elites Foundation of Iran



Persian (Farsi): Mother tongue

English: Native level

German: Native level

French: Intermediate level