Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands
Information from seedling stands in time and space is essential for sustainable forest management. To fulfil these informational needs with limited resources, remote sensing is seen as an intriguing alternative for forest inventorying. The structure and tree species composition in seedling stands ha...
Main Authors: | Mohammad Imangholiloo, Ninni Saarinen, Markus Holopainen, Xiaowei Yu, Juha Hyyppä, Mikko Vastaranta |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/20/3328 |
Similar Items
-
Characterizing Seedling Stands Using Leaf-off and Leaf-on Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle
by: Mohammad Imangholiloo, et al.
Published: (2019-05-01) -
Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction
by: Ville Kankare, et al.
Published: (2015-05-01) -
Airborne Lidar Ve Dted2 Verilerinde Yükseklik (H) Karşılaştırması
by: Muzaffer NAVRUZ
Published: (2017-12-01) -
Advances in Forest Inventory Using Airborne Laser Scanning
by: Hannu Hyyppä, et al.
Published: (2012-05-01) -
Investigating the Consistency of Uncalibrated Multispectral Lidar Vegetation Indices at Different Altitudes
by: Maxim Okhrimenko, et al.
Published: (2019-06-01)