气候变化领域集成服务门户(CCPortal): Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle

CCPortal

DOI	10.1016/j.foreco.2018.10.058
	Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle
	Ota T.; Ahmed O.S.; Minn S.T.; Khai T.C.; Mizoue N.; Yoshida S.
发表日期	2019
ISSN	0378-1127
起始页码	162
结束页码	169
卷号	433
英文摘要	Selective logging is one of the factors contributing to deforestation and forest degradation in tropical forests. A low-cost methodology to monitor selective logging is clearly required. However, this poses a challenge because only a few trees are felled at a given time. Here, we investigate the potential of using repeatedly acquired digital aerial photographs (DAPs) from a lightweight unmanned aerial vehicle (UAV) to detect selective logging in tropical forests in Myanmar. Selective logging was conducted within two 9-ha plots. DAPs were acquired immediately before and after selective logging using a lightweight UAV in this case study. The aboveground biomass (AGB) change related to selective logging was regressed against metrics expressing forest changes calculated at a 0.25-ha resolution from a photogrammetric point cloud created using the DAPs before and after selective logging. The root-mean-square error and coefficient of determination were 0.77 and 9.32 Mg/ha, respectively. This study demonstrates that repeated DAPs taken from a lightweight UAV can be used to estimate changes in the AGB linked to selective logging. This method could be used to quantify the impacts of both legal selective logging and illegal logging in tropical forests. © 2018 Elsevier B.V.
英文关键词	Deforestation; Digital aerial photographs; Monitoring; Photogrammetric point cloud (PPC); Selective logging; Tropical forests; Unmanned aerial vehicle (UAV)
语种	英语
scopus关键词	Antennas; Deforestation; Mean square error; Monitoring; Photogrammetry; Photographic equipment; Tropics; Unmanned aerial vehicles (UAV); Aboveground biomass; Coefficient of determination; Digital aerial photographs; Lightweight unmanned aerial vehicles; Point cloud; Root mean square errors; Selective logging; Tropical forest; Aerial photography; aboveground biomass; aerial photography; algorithm; biomass; deforestation; estimation method; monitoring system; selective logging; tropical forest; unmanned vehicle; Air Craft; Deforestation; Monitoring; Photogrammetry; Photographic Equipment; Photography; Selective Cutting; Tropics; Myanmar
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156292
作者单位	Institute of Decision Science for a Sustainable Society, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan; Geomatics, Remote Sensing and Land Resources Laboratory, Department of Geography, Trent University, 1600 West Bank Drive, Peterborough, Ontario K9J 7B8, Canada; Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan; Faculty of Agriculture, Kyushu University, 744 Motooka, Fukuoka, 819-0395, Japan
推荐引用方式 GB/T 7714	Ota T.,Ahmed O.S.,Minn S.T.,et al. Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle[J],2019,433.
APA	Ota T.,Ahmed O.S.,Minn S.T.,Khai T.C.,Mizoue N.,&Yoshida S..(2019).Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle.Forest Ecology and Management,433.
MLA	Ota T.,et al."Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle".Forest Ecology and Management 433(2019).