Hooman Latifi (ORCID:0000-0003-1054-889X)
Hooman Latifi (ORCID:0000-0003-1054-889X)
Other namesهومن لطیفی, H. Latifi, Latifi, H.
Associate Professor of Remote Sensing, K.N.Toosi University of Technology (ROR 0433abe34). IRAN
Verified email at - Homepage
Cited by
Cited by
Review of studies on tree species classification from remotely sensed data
FE Fassnacht, H Latifi, K Sterenczak, M K., Modzelewska, A., Lefsky
Remote Sensing of Environment 186, 64-87, 2016
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
FE Fassnacht, F Hartig, H Latifi, C Berger, J Hernández, P Corvalán, ...
Remote Sensing of Environment 154, 102-114, 2014
Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors
H Latifi, A Nothdurft, B Koch
Forestry 83 (4), 395-407, 2010
Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality
FE Fassnacht, H Latifi, A Ghosh, PK Joshi, B Koch
Remote Sensing of Environment 140, 533-548, 2014
Forest structure modeling with combined airborne hyperspectral and LiDAR data
H Latifi, F Fassnacht, B Koch
Remote Sensing of Environment 121, 10-25, 2012
Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest
H Latifi, FE Fassnacht, J Müller, A Tharani, S Dech, M Heurich
International Journal of Applied Earth Observation and Geoinformation 42 …, 2015
Stratified aboveground forest biomass estimation by remote sensing data
H Latifi, FE Fassnacht, F Hartig, C Berger, J Hernández, P Corvalán, ...
International Journal of Applied Earth Observation and Geoinformation 38 …, 2015
Estimating over-and understorey canopy density of temperate mixed stands by airborne LiDAR data
H Latifi, M Heurich, F Hartig, J Müller, P Krzystek, H Jehl, S Dech
Forestry: An International Journal of Forest Research 89 (1), 69-81, 2016
Role of African protected areas in maintaining connectivity for large mammals
M Wegmann, L Santini, B Leutner, K Safi, D Rocchini, M Bevanda, H Latifi, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014
Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects
Z Wang, AK Skidmore, T Wang, R Darvishzadeh, U Heiden, M Heurich, ...
International Journal of Applied Earth Observation and Geoinformation 54, 84-94, 2017
Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands
H Latifi, B Koch
International Journal of Remote Sensing 33 (21), 6668-6694, 2012
An angular vegetation index for imaging spectroscopy data—Preliminary results on forest damage detection in the Bavarian National Park, Germany
FE Fassnacht, H Latifi, B Koch
International Journal of Applied Earth Observation and Geoinformation 19 …, 2012
Forest structure following natural disturbances and early succession provides habitat for two avian flagship species, capercaillie (Tetrao urogallus) and hazel grouse …
M Kortmann, M Heurich, H Latifi, S Rösner, R Seidl, J Müller, S Thorn
Biological conservation 226, 81-91, 2018
Estimating stand density, biomass and tree species from very high resolution stereo-imagery–towards an all-in-one sensor for forestry applications?
FE Fassnacht, D Mangold, J Schäfer, M Immitzer, T Kattenborn, B Koch, ...
Forestry: An International Journal of Forest Research 90 (5), 613-631, 2017
Integrating LiDAR and high-resolution imagery for object-based mapping of forest habitats in a heterogeneous temperate forest landscape
R Silveyra Gonzalez, H Latifi, H Weinacker, M Dees, B Koch, M Heurich
International journal of remote sensing 39 (23), 8859-8884, 2018
Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR
FE Fassnacht, H Latifi, F Hartig
Remote sensing of environment 213, 115-128, 2018
Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data
S Khare, H Latifi, SK Ghosh
Geocarto international 33 (7), 681-698, 2018
Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao’s Q index
S Khare, H Latifi, S Rossi
Ecological Indicators 106, 105520, 2019
Taxonomic, functional, and phylogenetic diversity of bird assemblages are oppositely associated to productivity and heterogeneity in temperate forests
S Bae, J Müller, D Lee, KT Vierling, JC Vogeler, LA Vierling, AT Hudak, ...
Remote Sensing of Environment 215, 145-156, 2018
Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery
H Latifi, FE Fassnacht, B Schumann, S Dech
Progress in Physical Geography 38 (6), 755-785, 2014
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