Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale

Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale

Aboveground carbon stocks (AGCs) in forests play an important role in understanding carbon cycle processes. The global forestry sector has been working to find fast and accurate methods to estimate forest AGCs and implement dynamic monitoring. The aim of this study was to explore the effects of back...

Full description

Saved in:
Bibliographic Details
Main Authors: Rina Su, Wala Du, Yu Shan, Hong Ying, Wu Rihan, Rong Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
backpack LiDAR
UAV multispectral imagery
aboveground carbon stock (AGC)
multiple stepwise linear regression (MSLR)
random forest regression (RF)
Online Access:https://www.mdpi.com/2072-4292/16/21/3927
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2072-4292/16/21/3927

Similar Items