Quantifying Mangrove Forest Attributes Using Terrestrial Laser Scanning DOI Creative Commons
Thomas Dunlop, Alejandra Gijón Mancheño, William Glamore

et al.

Estuaries and Coasts, Journal Year: 2025, Volume and Issue: 48(4)

Published: April 30, 2025

Abstract Mangroves are increasingly recognised for their ecosystem services, including capacity to store carbon and adapt climate pressures by stabilising shorelines acting as storm barriers. To quantify these relevant parameters such mangrove biomass drag coefficients have been calculated using allometric equations fitted field measurements of physical attributes. However, previous research attributes has involved time-consuming hand long processing times associated with terrestrial laser scanning (TLS). more efficiently capture process attributes, the density, diameter, height, projected area stems roots, a novel method collecting data TLS was developed. Recorded were compared conducted in 12 Avicennia marina forests across 10 estuaries 4 unique estuary typologies. The results demonstrated reliable estimation revealed link between estuarine geomorphology. Mangrove accurately identified all typologies, attribute estimations accurate Drowned River Valleys (DRVs). A sensitivity analysis that 10–20 trees DRVs 35–45 barrier require point cloud characterise forest 400–1300 m 2 achieve convergent stem diameter tree height results. presented herein offers an efficient way aboveground root surface trees. This can be used worldwide provide fundamental quantifying services.

Language: Английский

Quantifying Mangrove Forest Attributes Using Terrestrial Laser Scanning DOI Creative Commons
Thomas Dunlop, Alejandra Gijón Mancheño, William Glamore

et al.

Estuaries and Coasts, Journal Year: 2025, Volume and Issue: 48(4)

Published: April 30, 2025

Abstract Mangroves are increasingly recognised for their ecosystem services, including capacity to store carbon and adapt climate pressures by stabilising shorelines acting as storm barriers. To quantify these relevant parameters such mangrove biomass drag coefficients have been calculated using allometric equations fitted field measurements of physical attributes. However, previous research attributes has involved time-consuming hand long processing times associated with terrestrial laser scanning (TLS). more efficiently capture process attributes, the density, diameter, height, projected area stems roots, a novel method collecting data TLS was developed. Recorded were compared conducted in 12 Avicennia marina forests across 10 estuaries 4 unique estuary typologies. The results demonstrated reliable estimation revealed link between estuarine geomorphology. Mangrove accurately identified all typologies, attribute estimations accurate Drowned River Valleys (DRVs). A sensitivity analysis that 10–20 trees DRVs 35–45 barrier require point cloud characterise forest 400–1300 m 2 achieve convergent stem diameter tree height results. presented herein offers an efficient way aboveground root surface trees. This can be used worldwide provide fundamental quantifying services.

Language: Английский

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