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Hooman Latifi
ORCID
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 13
Top Topics
Data Providers
Remote Sensing
Quad Trees
Hyperspectral
Top Venues
Remote. Sens.
Int. J. Appl. Earth Obs. Geoinformation
Ecol. Informatics
Sensors
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Publications
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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.
Ecol. Informatics
82 (2024)
Seyed 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. Sens.
15 (21) (2023)
Dan Kanmegne Tamga
,
Hooman Latifi
,
Tobias Ullmann
,
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
23 (1) (2023)
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. Sens.
14 (1) (2022)
Marziye Ghasemi
,
Hooman Latifi
,
Mehdi Pourhashemi
A Novel Method for Detecting and Delineating Coppice Trees in UAV Images to Monitor Tree Decline.
Remote. Sens.
14 (23) (2022)
Seyed 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. Sens.
13 (21) (2021)
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.
Int. J. Appl. Earth Obs. Geoinformation
105 (2021)
Suyash Khare
,
Hooman Latifi
,
Siddhartha Khare
Vegetation Growth Analysis of UNESCO World Heritage Hyrcanian Forests Using Multi-Sensor Optical Remote Sensing Data.
Remote. Sens.
13 (19) (2021)
Erfan Fekri
,
Hooman Latifi
,
Meisam Amani
,
Abdolkarim Zobeidinezhad
A Training Sample Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine.
Remote. Sens.
13 (20) (2021)
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. Sens.
12 (11) (2020)
Hooman Latifi
,
Marco Heurich
Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects.
Remote. Sens.
11 (11) (2019)
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.
Int. J. Appl. Earth Obs. Geoinformation
54 (2017)
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.
Ecol. Informatics
38 (2017)
Hooman Latifi
,
Fabian Ewald Fassnacht
,
Jörg Müller
,
Agalya Tharani
,
Stefan W. 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.
Int. J. Appl. Earth Obs. Geoinformation
42 (2015)
Hooman Latifi
,
Fabian Ewald Fassnacht
,
Florian Hartig
,
Christian Berger
,
Jaime Hernández
,
Patricio Corvalán
,
Barbara Koch
Stratified aboveground forest biomass estimation by remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation
38 (2015)
Hooman Latifi
,
Arne Nothdurft
,
Christoph Straub
,
Barbara Koch
Modelling stratified forest attributes using optical/LiDAR features in a central European landscape.
Int. J. Digit. Earth
5 (2) (2012)
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.
Int. J. Appl. Earth Obs. Geoinformation
19 (2012)