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Estimating Mangrove Forest Volume Using Terrestrial Laser Scanning and UAV-Derived Structure-from-Motion

DOI:10.3390/drones3020032 期刊:Drones 出版年份:2019 更新时间:2025-09-11 14:15:04
摘要: Mangroves provide a variety of ecosystem services, which can be related to their structural complexity and ability to store carbon in the above ground biomass (AGB). Quantifying AGB in mangroves has traditionally been conducted using destructive, time-consuming, and costly methods, however, Structure-from-Motion Multi-View Stereo (SfM-MVS) combined with unmanned aerial vehicle (UAV) imagery may provide an alternative. Here, we compared the ability of SfM-MVS with terrestrial laser scanning (TLS) to capture forest structure and volume in three mangrove sites of differing stand age and species composition. We describe forest structure in terms of point density, while forest volume is estimated as a proxy for AGB using the surface differencing method. In general, SfM-MVS poorly captured mangrove forest structure, but was efficient in capturing the canopy height for volume estimations. The differences in volume estimations between TLS and SfM-MVS were higher in the juvenile age site (42.95%) than the mixed (28.23%) or mature (12.72%) age sites, with a higher stem density affecting point capture in both methods. These results can be used to inform non-destructive, cost-effective, and timely assessments of forest structure or AGB in mangroves in the future.
作者: Angus D. Warfield,Javier X. Leon
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The objective of this study is to assess the efficacy of using SfM-MVS for capturing forest structure in three mangrove sites with differing structural characteristics. Given applications of SfM-MVS have been mainly conducted in forestry plantations characterized by tree stands of regular height and spacing, we were interested to see how this method would perform in mangroves, which have more peculiar growth form. Comparisons of point cloud utility is made between SfM-MVS and TLS, and canopy height models (CHMs) are generated to estimate forest volume as a proxy for AGB.

This study compared the ability of SfM-MVS and TLS to capture forest structure and volume in three mangrove sites of differing structural characteristics. SfM-MVS was unable to capture points below the canopy in the same detail offered by TLS, which was clearly superior in terms of point density. For forest volume, SfM-MVS captured the top of the canopy more accurately than the TLS, which suffered from occlusion, however, it tends to overestimate volume in canopy gaps. The choice between either SfM-MVS and TLS depends on the accuracy, spatial scale, and time scale required, with both offering potential advantages and disadvantages.

Horizontal misalignments between the TLS and SfM-MVS raster models were noted, greatest in the juvenile and mixed sites. The DTM created interpolated elevation heights taken at the peripheries of each site, as the RTK-GNSS could not obtain a signal below the canopy. The surface differencing method assumes a constant volume below the height of the CHM, which may not account for species-specific wood density and growth forms.

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