Characterizing Seedling Stands Using Leaf-off and Leaf-on Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle

Characterizing Seedling Stands Using Leaf-off and Leaf-on Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle

Seedling stands are mainly inventoried through field measurements, which are typically laborious, expensive and time-consuming due to high tree density and small tree size. In addition, operationally used sparse density airborne laser scanning (ALS) and aerial imagery data are not sufficiently accur...

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Bibliographic Details
Main Authors: Mohammad Imangholiloo, Ninni Saarinen, Lauri Markelin, Tomi Rosnell, Roope Näsi, Teemu Hakala, Eija Honkavaara, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Forests
Subjects:
seedling stand inventorying
photogrammetric point clouds
hyperspectral imagery
unmanned aerial vehicles
leaf-off
leaf-on
Online Access:https://www.mdpi.com/1999-4907/10/5/415

Internet

https://www.mdpi.com/1999-4907/10/5/415

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