Characterizing annual leaf area index changes and volume growth using ALS and satellite data in forest plantations

Characterizing annual leaf area index changes and volume growth using ALS and satellite data in forest plantations

While Leaf Area Index (LAI) is critical for understanding forest canopy, photosynthesis and forest growth, traditional field-based LAI measurements are laborious and costly. Remote sensing offers a practical alternative for extensive assessments. Satellite imagery provides broad-scale, long-term mon...

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Bibliographic Details
Main Authors: Gonzalo Gavilán-Acuna, Nicholas C. Coops, Piotr Tompalski, Pablo Mena-Quijada, Andrés Varhola, Dominik Roeser, Guillermo F. Olmedo
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Science of Remote Sensing
Subjects:
LiDAR
Harmonized Landsat and Sentinel-2 (HLS)
Vegetation index
Precision forestry
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017224000439
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