Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands. - Mohammad Imangholiloo; Ninni Saarinen; Markus Holopainen; Xiaowei Yu; Juha Hyyppä; Mikko Vastaranta (Remote. Sens., 2020)

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. - 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 (Remote. Sens., 2022)

Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery. - Tuomas Häme; Heikki Astola; Jorma Kilpi; Yrjö Rauste; Laura Sirro; Teemu Mutanen; Eija Parmes; Jussi Rasinmäki; Mohammad Imangholiloo (Remote. Sens., 2023)

A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings. - Mohammad Imangholiloo; Ville Luoma; Markus Holopainen; Mikko Vastaranta; Antti Mäkeläinen; Niko Koivumäki; Eija Honkavaara; Ehsan Khoramshahi (Remote. Sens., 2023)