Hooman Latifi
Hooman Latifi
Assistant Professor of Remote Sensing, K.N.Toosi University of Technology
Подтвержден адрес электронной почты в домене kntu.ac.ir - Главная страница
Название
Процитировано
Процитировано
Год
Review of studies on tree species classification from remotely sensed data
FE Fassnacht, H Latifi, K Stereńczak, A Modzelewska, M Lefsky, LT Waser, ...
Remote Sensing of Environment 186, 64-87, 2016
4162016
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
2312014
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
2112010
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
1082014
Forest structure modeling with combined airborne hyperspectral and LiDAR data
H Latifi, F Fassnacht, B Koch
Remote Sensing of Environment 121, 10-25, 2012
1052012
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
702015
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
642015
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
522016
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
452012
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
432014
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
392017
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
352012
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
292017
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
262018
Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery
H Latifi, B Schumann, M Kautz, S Dech
Environmental monitoring and assessment 186 (1), 441-456, 2014
262014
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
242014
Characterizing forest structure by means of remote sensing: a review
H Latifi
Remote Sensing-Advanced Techniques and Platforms, 978-953, 2012
222012
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
182018
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
182018
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
182018
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