A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits

A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits

Current LiDAR-based methods for detecting forest change use a host of statistically selected variables which typically lack a biological link with the characteristics of the ecosystem. Consensus of the literature indicates that many authors use LiDAR to derive ecosystem morphological traits (EMTs)—n...

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Bibliographic Details
Main Authors: Jaz Stoddart, Danilo Roberti Alves de Almeida, Carlos Alberto Silva, Eric Bastos Görgens, Michael Keller, Ruben Valbuena
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
vegetation structure
carbon stock
LiDAR
modelling
Online Access:https://www.mdpi.com/2072-4292/14/4/933

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