气候变化领域集成服务门户(CCPortal): The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems

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DOI	10.1016/j.rse.2020.111747
	The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems
	Navarro A.; Young M.; Allan B.; Carnell P.; Macreadie P.; Ierodiaconou D.
发表日期	2020
ISSN	00344257
卷号	242
英文摘要	Mangrove ecosystems are targeted for many conservation and rehabilitation efforts due to their ability to store large amounts of carbon in their living biomass and soil. Traditional methods to monitor above-ground biomass (AGB) rely on on-ground measurements, which are expensive, labour intensive and cover small spatial scales. Structure from Motion and Multi-View Stereo reconstructions from Unmanned Aerial Vehicles imagery (UAV-SfM) have the potential to increase fieldwork efficiency by providing a greater amount of spatial information in less time. However, there is still a need to assess the ability of UAV-SfM to retrieve structural information of mangrove forests, which could pose challenges in areas of high forest complexity and density. In this study we successfully used UAV-SfM data to estimate height, canopy diameter and AGB of natural and rehabilitated mangrove forests across two regions of the southeastern coast of Australia. We used a variable window filter algorithm to detect trees with an 80% detection rate when considering the top canopy. Individual tree canopy segmentation was performed using a marker-controlled watershed segmentation with two sets of constraining markers: treetops and a minimum height below which a pixel is not considered part of a tree. Direct comparison with on-ground measurements at the regional level showed no significant difference in tree height and AGB medians when only top canopy was considered. Similarly, median canopy diameters were not significantly different in natural areas of both regions, but significant differences were found in rehabilitated areas. UAV-SfM estimates of AGB were on average 15% lower in natural areas and 10% higher in rehabilitated areas when compared to on-ground measurements and followed a strong linear relationship close to the ideal one-to-one relationship. Additionally, we performed a cost-benefit analysis of the two methodologies. UAV-SfM methods can save almost AU$ 50,000 per ha when compared to on-ground measurements and become cost-effective (based on total costs) after just 15 days of surveys. The methods described in this study open the possibility for easily repeatable, low-cost UAV-SfM surveys for local managers by providing a faster, more cost-effective approach for monitoring mangrove forests over larger areas than traditional on-ground surveys while maintaining forest inventory data accuracy in both natural and rehabilitated mangrove forests. © 2020 Elsevier Inc.
英文关键词	Above-ground biomass; Cost-benefit analysis; Individual tree segmentation; Mangrove; Unmanned aerial vehicle
语种	英语
scopus关键词	Antennas; Biomass; Cost effectiveness; Ecosystems; Forestry; Image segmentation; Soil conservation; Stereo image processing; Surveys; Unmanned aerial vehicles (UAV); Above ground biomass; Cost-effective approach; Individual tree; Mangrove; Marker-controlled watershed segmentation; Multi-view stereo reconstruction; Structural information; Structure from motion; Cost benefit analysis; aboveground biomass; cost-benefit analysis; forest inventory; ground-based measurement; mangrove; satellite imagery; segmentation; unmanned vehicle; Australia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179358
作者单位	School of Life & Environmental Sciences, Faculty of Science, Engineering and Built Environment, Deakin University, Warrnambool, VIC 3280, Australia; School of Life & Environmental Sciences, Faculty of Science, Engineering and Built Environment, Deakin University, Burwood, VIC 3125, Australia
推荐引用方式 GB/T 7714	Navarro A.,Young M.,Allan B.,et al. The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems[J],2020,242.
APA	Navarro A.,Young M.,Allan B.,Carnell P.,Macreadie P.,&Ierodiaconou D..(2020).The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems.Remote Sensing of Environment,242.
MLA	Navarro A.,et al."The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems".Remote Sensing of Environment 242(2020).