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ORCIDMohammad Imangholiloo
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2020 – today
- 2023
[j4]Tuomas Häme
, Heikki Astola, Jorma Kilpi, Yrjö Rauste, Laura Sirro, Teemu Mutanen, Eija Parmes, Jussi Rasinmäki, Mohammad Imangholiloo:
Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery. Remote. Sens. 15(12): 3029 (2023)- [j3]Mohammad Imangholiloo, Ville Luoma, Markus Holopainen, Mikko Vastaranta, Antti Mäkeläinen, Niko Koivumäki, Eija Honkavaara, Ehsan Khoramshahi:
A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings. Remote. Sens. 15(21): 5233 (2023) - 2022
- [j2]Samuli Junttila, Roope Näsi, Niko Koivumäki, Mohammad Imangholiloo, Ninni Saarinen, Juha Raisio, Markus Holopainen, Hannu Hyyppä, Juha Hyyppä, Päivi Lyytikäinen-Saarenmaa, Mikko Vastaranta, Eija Honkavaara:
Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. Remote. Sens. 14(4): 909 (2022) - 2020
- [j1]Mohammad Imangholiloo, Ninni Saarinen, Markus Holopainen, Xiaowei Yu, Juha Hyyppä, Mikko Vastaranta:
Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands. Remote. Sens. 12(20): 3328 (2020)
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