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Mohammad Imangholiloo

Observed names: Imangholiloo, Mohammad, M. Imangholiloo
ORCID: 0000-0001-6240-077X
Observed ORCID: 0000-0001-6240-077X
OpenAlex ID: A5080626325
Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle
2019 · Mohammad Imangholiloo, Ninni Saarinen, et al. · Forests · 53
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Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season
2022 · Samuli Junttila, Roope Näsi, et al. · Remote Sensing · 47
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Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands
2020 · Mohammad Imangholiloo, Ninni Saarinen, et al. · Remote Sensing · 17
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Remote Sensing Technologies for Assessing Climate-Smart Criteria in Mountain Forests
2021 · Chiara Torresan, Sebastiaan Luyssaert, et al. · Managing forest ecosystems · 13
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Utilizing Sentinel-1A Radar Images for Large-Area Land Cover Mapping with Machine-learning Methods
2019 · Mohammad Imangholiloo, Jussi Rasinmäki, et al. · Canadian Journal of Remote Sensing · 8
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Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning
2022 · M. Imangholiloo, T. Yrttimaa, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 6
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A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings
2023 · Mohammad Imangholiloo, Ville Luoma, et al. · Remote Sensing · 5
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Tree trunk disease mapping using hyperspectral LiDAR
2025 · Peilun Hu, Yuwei Chen, et al. · Computers and Electronics in Agriculture · 2
Urban tree species classification based on multispectral airborne LiDAR
2025 · Hu, Pei-Lun, Chen, Yu-Wei, et al. · Työväentutkimus Vuosikirja · 1
Toward an enhanced characterization of seedling stands using remote sensing
2024 · Mohammad Imangholiloo · Dissertationes Forestales · 1
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Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery
2023 · Tuomas Häme, Heikki Astola, et al. · Remote Sensing · 1
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Utilizing Single Photon Laser Scanning Data for Estimating Individual Tree Attributes
2022 · J. Simula, M. Holopainen, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 1
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Beyond Weak Labels: Prompt-Guided Local Refinement for Weakly Supervised Water Segmentation in High-Resolution Multispectral Imagery
2026 · Humayun, Muhammad Farhan, Imangholiloo, Mohammad, et al. · arXiv (Cornell University)
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Improving the Usability and Adoption of Digital Data Solutions: An Example for Researchers in the Digital Waters Flagship and PhD Pilot
2026 · Mohammad Imangholiloo, Elizabeth Carter, et al. · EGU General Assembly Conference Abstracts
Co-developing research-assisting AI for water resources professionals: the Digital Waters Flagship’s digital methods course
2026 · Elizabeth Carter, Mehrdad Rostami, et al. · EGU General Assembly Conference Abstracts
A practical guide to Data Quality in environmental water monitoring
2026 · Siivola, Eero, Uvo, Cintia, et al. · Työväentutkimus Vuosikirja
Kaukokartoituksella kohti parempaa ja tehokkaampaa taimikoiden ominaisuuksien kartoitusta
2024 · Imangholiloo, Mohammad · Työväentutkimus Vuosikirja
Utilizing Sentinel-1A SAR Images for Land Cover Mapping with Machine Learning Methods
2017 · Mohammad Imangholiloo · Työväentutkimus Vuosikirja
Works count: 19
Citation count: 156
H-index: 6
I10-index: 4
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