Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes

Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes

The quality and accuracy of Unmanned Aerial System (UAS) products greatly depend on the methods used to define image orientations before they are used to create 3D point clouds. While most studies were conducted in non- or partially-forested areas, a limited number of studies have evaluated the spat...

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Bibliographic Details
Main Authors: Luka Jurjević, Mateo Gašparović, Anita Simic Milas, Ivan Balenović
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
unmanned aerial system (uas)
photogrammetry
structure from motion (sfm)
plot-level lorey’s mean height
hold-out validation
leave-one-out-cross validation
pedunculate oak (<i>quercus robur</i> l.)
Online Access:https://www.mdpi.com/2072-4292/12/3/404

Internet

https://www.mdpi.com/2072-4292/12/3/404

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