Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR

Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR

Accurate estimates of growth and structural changes are key for forest management tasks such as determination of optimal rotation times, optimal rotation times, site indices and for identifying areas experiencing difficulties to regenerate. Estimation of structural changes, especially for biomass, i...

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Bibliographic Details
Main Authors: Francisco Mauro, Martin Ritchie, Brian Wing, Bryce Frank, Vicente Monleon, Hailemariam Temesgen, Andrew Hudak
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
forest structure change
EBLUP
small area estimation
multitemporal LiDAR and stand-level estimates
Online Access:https://www.mdpi.com/2072-4292/11/8/923

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