Hooman Latifi
Associate 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. 318)
Email: hooman.latifi@kntu.ac.ir
Associate Professor (PD Dr. rer. nat habil)
Department of Remote Sensing
Institute of Geography and Geology
Julius-Maximilians-University Würzburg
Oswald-Külpe-Weg 86
D-97074 Würzburg- Germany
Email: hooman.latifi@uni-wuerzburg.de
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Short biography:
I am an Associate Professor of Ecological Remote Sensing with the primary research interest in spatiotemporal analysis of forest structure, biodiversity and health indicators by means of spaceborne and airborne data sources. In particular, I am interested in analyzing three-dimensional sources of aerial data for better understanding both tree and gap structures in forest habitats. Other fields in which I am deeply interested include phenology-based approaches for monitoring vegetation decline across temperate and semi-arid ecosystems, as well as retrieval of α, β, and γ diversities of plant communities by means of optical time series of remote sensing data. Besides my teaching and research activities at the K. N. Toosi University of Technology and the University of Würzburg, I am a Commissioning Editor for Methods in Ecology and Evolution (Wiley) and an Associate Editor for Forestry (Oxford University Press).
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Web:
url: KNTU (English)
url: KNTU (Persian)
url: University of Würzburg (not maintained)
url: ResearchGate
url: Research lab "Remote Sensing for Ecology and Eosystem Conservation (RSEEC)"
url: Google Scholar
url: Scopus
url: ORCID
url: WOS
url: The Lens
url: Semantic Scholar
url: LinkedIn
Main research fields and interests
Current undergraduate (UG) and graduate (G) courses
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Professional experience
Since 02/2022
Associate 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, Wuerzburg-Germany
02/2018-02/2022
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 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)
04/2006 - 04/2008
Dept. of Transportation and Environment, Scetiran Consulting Engineers, Tehran-Iran
Education/ academic experience
06/2012 - 02/2018
Habilitation in the Dept. of Remote Sensing, University of Wuerzburg. Link to Habilitation thesis
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). Link to Doctoral thesis (DOI: 10.6094/UNIFR/10245)
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). Link to M.Sc thesis
10/1999 – 06/2003
B.Sc studies of Forestry at the Faculty of Natural Resources, University of Guilan (Iran)
Peer-reviewed journal publications
- Amirreza Garousi, Ali Hosseininaveh, Hooman Latifi. Monitoring deforestation in Arasbaran Biosphere Reserve using multi-temporal satellite images based on a refined U-Net network. Journal of Geomatics Science and Technology 14(1), 85-103. Link
- Elham Shafeian, Michael Ewald, Hooman Latifi, Fabian Ewald Fassnacht. Unveiling the main drivers of tree decline in semi-arid Zagros forests. Forestry, cpae048. https://doi.org/10.1093/forestry/cpae048
- Mohammad Reza Fathi, Hooman Latifi, Hamed Gholizadeh, Siddhartha Khare. PaRaVis: An automatic Python graphical package for ensemble analysis of plant beta diversity using remote sensing proxies. Ecological Informatics 82, 102739. https://doi.org/10.1016/j.ecoinf.2024.102739
- Munaf Al Masoodi, Hooman Latifi. Assessing the impact of fresh water scarcity on semiarid vegetation by remote sensing, case study: Karbala, Iraq. Arabian Journal of Geosciences 17. 224. https://doi.org/10.1007/s12517-024-12021-3
- Chendi Gao, Pengfei Li, Xin Yang, Jinfei Hu, Xiao Bai, Wanqiang Yao, Dou Li, Hooman Latifi, Jianjian Gao, Tianmin Dang, Pan Zhang. 3D investigation of gully headcut processes: A slicing segmentation based on field scouring experiments and laser scanning. Journal of Hydrology 638, 131497. https://doi.org/10.1016/j.jhydrol.2024.131497
- Fatemeh Saba, Hooman Latifi, Mohammad Javad Valadan Zoej, Christian Heipke. Analysis of spatio-temporal dynamics of Buxus hyrcana Pojark defoliation using spaceborne satellite data. Forestry 97(5), 713-727. https://doi.org/10.1093/forestry/cpae005
- Arvin Fakhri, Hooman Latifi, Kyumars Mohammadi Samani, Fabian Ewald Fassnacht. CaR3DMIC: a novel method for evaluating UAV-derived 3D forest models by tree features. ISPRS Journal of Photogrammetry and Remote Sensing 208, 279-295. https://doi.org/10.1016/j.isprsjprs.2024.01.012
- Xin Yang, Jinfei Hu, Pengfei Li, Chendi Gao, Hooman Latifi, Xiao Bai, Jianjian Gao, Tianmin Dang, Fuquan Tang. SCCD: a slicing algorithm for detecting geomorphic changes on topographically complex areas based on 3D point clouds. Remote Sensing of Environment 303, 114022. https://doi.org/10.1016/j.rse.2024.114022
- Maryize Ghasemi, Hooman Latifi, Elham Shafeian, Hamed Naghavi, Mehdi Pourhashemi. A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data. International Journal of Remote Sensing 45(4), 1079-1109. https://doi.org/10.1080/01431161.2024.2305630
- Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Hooman Latifi, Yaser Jouybari Moghaddam. Height estimation of pine (Pinus eldarica) single trees using slope corrected shadow length on unmanned aerial vehicle (UAV) imagery in a plantation forest. Annals of Forest Research 66(2), 3-16. https://doi.org/10.15287/afr.2023.3014
- Arvin Fakhri, Hooman Latifi, Kyumars Mohammadi Samani, Zahed Shakeri, Hamed Naghavi, Fabian Ewald Fassnacht. Combination of UAV photogrammetry and field inventories enables description of height-diameter relationship within semi-arid silvopastoral systems. Remote Sensing 2023, 15(21), 5261. https://doi.org/10.3390/rs15215261
- Pengfei Li, Dou Li, Jinfei Hu, Fabian Ewald Fassnacht, Hooman Latifi, Wanqiang Yao, Jianjian Gao, Faith Ka Shun Chan, Tianmin Dang, Fuquan Tang. Improving the application of UAV-LiDAR for erosion monitoring through accounting for uncertainty in DEM of difference. CATENA 234, 107534. https://doi.org/10.1016/j.catena.2023.107534
- Elham Shafeian, Fabian Ewald Fassnacht, Hooman Latifi. Detecting semi-arid forest decline using time series of Landsat data. European Journal of Remote Sensing 56(1), 2260549. https://doi.org/10.1080/22797254.2023.2260549
- Hooman Latifi, Ruben Valbuena, Carlos Alberto Silva. Towards complex applications of active remote sensing for ecology and conservation. Methods in Ecology and Evolution 14(7), 1578-1586, https://doi.org/10.1111/2041-210X.14154
- Maryize Ghasemi, Hooman Latifi, Mehdi Pourhashemi. Integrating UAV and freely-available space-borne data to describe tree decline across semi-arid mountainous forests. Environmental Modeling and Assessment. https://doi.org/10.1007/s10666-023-09911-3
- Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Hooman Latifi, Yaser Jouybari Moghaddam. Comparison of unmanned aerial vehicle (UAV) RGB imagery and point clouds in crown area estimation of individual trees within pine (Pinus eldarica) man-made forests. Journal of RS and GIS for Natural Resources 14(3)-52, 1-4. https://doi.org/10.30495/girs.2023.689615
- Seyed Mehdi Rezaei Sangdehi, Asghar Fallah, Hooman Latifi, Nastaran Nazariani. Modeling of abouveground carbon stock using Sentinel-1,2 satellite imagery and parametric and nonparametric relationships (case study: District 3 of Sangdeh Forests). Journal of RS and GIS for Natural Resources 14(3)-52, 21-24. https://doi.org/10.30495/girs.2023.69.665
- Hooman Latifi. Potentials and pitfalls of applying consumer-grade unmanned aerial vehicles for the inventory of Zagros forests.Iranian Journal of Forest and Poplar Research, 30(3), 299-307. https://doi.org/10.22092/IJFPR.2023.361410.2086
- Dan Kanmegne Tamga, Hooman Latifi, Tobias Ulmann, Roland Baumhauer, Jules Bayala, Michael Thiel. Estimation of aboveground biomass in agroforestry systems over three climatic regions in West Africa using Sentinel-1, Sentinel-2, ALOS and GEDI data. Sensors 2023, 23(1), 349. https://doi.org/10.3390/s23010349
- Fatemeh Saba, Hooman Latifi, Mohammad Javad Valadan Zoej, Rohollah Esmaili. Mapping dead understorey Buxus hyrcana Pojark using Sentinel-2 and Sentinel-1 data. Forestry 96(2), 228-248 https://doi.org/10.1093/forestry/cpac049
- Marziye Ghasemi, Hooman Latifi, Mehdi Pourhashemi. A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline. Remote Sensing 2022, 14(23), 5910, https://doi.org/10.3390/rs14235910
- Dan Kanmegne Tamga, Hooman Latifi, Tobias Ulmann, Roland Baumhauer, Michael Thiel, Jules Bayala. Modelling the Spatial Distribution of the Classification Error of Remote Sensing Data in Cocoa Agroforestry Systems. Agroforestry Systems 97, 109-119. https://doi.org/10.1007/s10457-022-00791-2
- Xuting Yang, Wanqiang Yao, Pengfei Li, Jinfei Hu, Hooman Latifi, Li Kang, Ningjing Wang, Dingming Zhang. Changes of SOC Content in China’s Shendong Coal Mining Area during 1990–2020 Investigated Using Remote Sensing Techniques. Sustainability 2022, 14, 7374. https://doi.org/10.3390/su14127374
- Arvin Fakhri, Sajad Sayadi, Hamed Naghavi, Hooman Latifi. A novel vegetation index-based workflow for semi-arid, sparse woody cover mapping. Journal of Arid Environments 201:104748. https://doi.org/10.1016/j.jaridenv.2022.104748
- Golsa Shirazinejad, Mohammad Javad Valadan Zoej, Hooman Latifi. Applying multidate Sentinel-2 data for forest-type classification in complex broadleaf forest stands. Forestry 95(3), 363-379. https://doi.org/10.1093/forestry/cpac001
- Siddhartha Khare, Annie Deslauriers, Hubert Morin, Hooman Latifi, Sergio Rossi. Comparing Time-Lapse PhenoCams with Satellite Observations across the Boreal Forest of Quebec, Canada. Remote Sensing 2022, 14(1), 100, https://doi.org/10.3390/rs14010100
- Elham Shafeian, Fabian Ewald Fassnacht, Hooman Latifi. Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data. International Journal of Applied Earth Observation and Geoinformation 105: 102621. https://doi.org/10.1016/j.jag.2021.102621
- Mohammad Rokhafrooz, Hooman Latifi, Ali A. Abkar, Tomasz Wojciechowski, Miroslaw Czechlowski, Ali Sadeghi Naeini, Yasser Maghsoudi, Gniewko Niedbala. Simplified and Hybrid Remote Sensing-Based Delineation of Mangement Zones for Nitrogen Variable Rate Application in Wheat. Agriculture 11(11), 1104. https://doi.org/10.3390/agriculture11111104
- Arvin Fakhri, Hooman Latifi. A Consumer Grade UAV-based Framework to Estimate Structural Attributes of Coppice and High Oak Forest Stands in Semi-Arid Regions. Remote Sensing 2021, 13(21), 4367. https://doi.org/10.3390/rs13214367
- Erfan Fekri, Hooman Latifi, Meisam Amani, Abdolkarim Zobeidinejad. A Training Sample Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine. Remote Sensing 2021, 13(20), 4169. https://doi.org/10.3390/rs13204169
- Suyash Khare, Hooman Latifi, Siddhartha Khare: Vegetation growth analysis of UNESCO World Heritage Hyrcanian Forests using multi-sensor optical remote sensing data. Remote Sensing 2021, 13(19), 3965. https://doi.org/10.3390/rs13193965
- Chendi Gao, Pengfei Li, Jinfei Hu, Lu Yan, Hooman Latifi, Wanqiang Yao, Mingkui Hao, Jianjian Gao, Tianmin Dang, Shuhua Zhang. 2021. Development of gully erosion processes: A 3D investigation based on field scouring experiments and laser scanning. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2021.112683
- Hooman Latifi, Stefanie Holzwarth, Andrew Skidmore, Josef Bruna, Jaroslaw Cervenka, Roshanak Darvishzadeh, Martin Hais, Uta Heiden, Lucie Homolova, Peter Krzystek, Thomas Schneider, Martin Stary, Tiejun Wang, Jörg Müller, Marco Heurich. 2021. A laboratory for conceiving Essential Biodiversity Variables (EBVs)-The data pool initiative for the Bohemian Forest Ecosystem . Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13695
- 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 2020,106. https://doi.org/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. https://doi.org/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. https://doi.org/10.22069/jwfst.2019.16794.1817
- 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; https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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.
- 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 226, 81-91. https://doi.org/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 39(23), 8859-8884. https://doi.org/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 215(15), 145-156. https://doi.org/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 213, 115-128. https://doi.org/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 55(6), 839-859. https://doi.org/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 39(15-16), 5288-5309. https://doi.org/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. https://doi.org/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; https://doi.org/10.22092/ijfpr.2017.112879
- 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. https://doi.org/10.22124/CJES.2018.2783
- 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 85, 243-255. https://doi.org/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. https://doi.org/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). https://doi.org/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. https://doi.org/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 33(7), 681-698. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.5194/isprs-archives-XLI-B2-15-2016
- 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 89(1), 69-81. https://doi.org/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 42, 162-174. https://doi.org/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 38:229-241. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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). https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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(4), 395-407. https://doi.org/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), 98-101. https://doi.org/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(3), 85-92. https://doi.org/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. https://doi.org/10.5281/zenodo.7558585
- 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 40(11), 439-447. Link to English abstract
- 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. https://doi.org/10.7075/TJFS.200609.0363
Preprints
- Maryize Ghasemi, Hooman Latifi, Mehdi Pourhashemi. RGB-UAV data enables cost-effective discrimination of single- and multi-stem oak trees across semi-arid forest ecosystems. Available at SSRN: https://ssrn.com/abstract=4544688 or https://dx.doi.org/10.2139/ssrn.4544688
- Clemens Mosig et al. deadtrees.earth - An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics. bioRxiv 2024. https://doi.org/10.1101/2024.10.18.619094
Released software:
PaRaVis: A powerful Python graphical package designed for extracting, visualizing and analyzing plant diversity (Rao´s Q) baased on remote sensing vegetation indices. It comprises three main sections to enhance the applicability and functionality: 1) extracting, visualizing and selecting VIs from the available 75 indices, 2) calculating Rao´s Q by parallel computation in unidimensional and multidimensional models, and 3) visualizing the outputs and the associated diagnostic tools.
Link to download software, example data and documentations
DiTiMo: DiTiMo (Disturbance Time-series Monitoring) is a web application designed for monitoring vegetation decline by utilizing the powerful capabilities of Google Earth Engine. It implements a cumulative sum (CuSum)-based approach to provide precise and near real-time monitoring of decline over terrestrial ecosystems.Current datasets used within DiTiMo include 123 indices from harmonized Landsat/Sentinel-2, 123 indices from Landsats 5/8/9, 155 indices from Sentinel-2 and 10 indices from Sentinel-1 datasets. Links to register for and apply the tool will be provided after its final publication.
Journal editorships
Continuous positions
Methods in Ecology and Evolution (Wiley): Commissioning Editor. Link and Link
Methods in Ecology and Evolution (Wiley): Associate Editor. Link
Forestry (Oxford University Press): Editor. Link
Iranian Journal of Forest and Poplar Research: Editorial Board Member. Link
Special Issues
Methods in Ecology and Evolution (Wiley): Active Remote Sensing for Ecology and Ecosystem Conservation (Cross-Journal Special Feature). Link
Forests (MDPI): 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function. Link
Photogrammetrie-Fernerkundung-Geoinformation (Springer): Remote Sensing-assisted inventory of forest attributes. Link
Forests (MDPI): New Applications Based on Advanced Remote Sensing Data in Forests and Wood Land Areas. Link
Remote Sensing (MDPI): Remote Sensing Based Forest Inventories from Landscape to Global Scale. Link
Remote Sensing (MDPI): Optimizing the Usages of High-Spatial Resolution Remote Sensing Data: from Precision Resources Inventory to Operational Forestry. Link
Remote Sensing (MDPI): Remote Sensing for Wetland Inventory, Mapping and Change Analysis. Link
Remote Sensing (MDPI): Remote Sensing of Arid/Semiarid Lands II. Link
Interviews
Interview with SPECTRUM: The Official Newsletter of the ISPRS Student Consortium (English). 2018. Link
Remote Sensing for Ecology and Ecosystem Conservation. Broadcast Interview with Arayeh: Iranian Space Agency (ISA). 2022. Link
Broadcast Interview with IRIB1 on DiTiMo: a web-based tool for forest disturbance analysis based on GEE open data. 2024. Link
Languages
Persian (Farsi): Mother tongue
English: Native level
German: Native level
French: Intermediate level
Awards
K.N. Toosi University of Technology: Lecturer of the year (2021)
K.N. Toosi University of Technology: Young researcher of the year (2019). Link
Iran´s National Elites Foundation: Dr. Kazemi Ashtiani Prize (2018)
German Academic Exchange Service (DAAD) full PhD scholarship: (2008-2011)