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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, Tetsuji1; Ahmed, Oumer S.2; Minn, Sie Thu3; Khai, Tual Cin3; Mizoue, Nobuya4; Yoshida, Shigejiro4 | |
2019-02-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 433页码:162-169 |
文章类型 | Article |
语种 | 英语 |
国家 | Japan; Canada |
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. |
英文关键词 | Tropical forests Digital aerial photographs Photogrammetric point cloud (PPC) Unmanned aerial vehicle (UAV) Selective logging Deforestation Monitoring |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456902500018 |
WOS关键词 | STRUCTURE-FROM-MOTION ; AIRBORNE LIDAR ; CARBON STOCKS ; INVENTORY ; DAMAGE ; UAV ; DYNAMICS ; IMAGERY ; BIODIVERSITY ; DEGRADATION |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24245 |
专题 | 气候变化 |
作者单位 | 1.Kyushu Univ, Inst Decis Sci Sustainable Soc, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan; 2.Trent Univ, Dept Geog, Geomat Remote Sensing & Land Resources Lab, 1600 West Bank Dr, Peterborough, ON K9J 7B8, Canada; 3.Kyushu Univ, Grad Sch Bioresource & Bioenvironm Sci, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan; 4.Kyushu Univ, Fac Agr, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan |
推荐引用方式 GB/T 7714 | Ota, Tetsuji,Ahmed, Oumer S.,Minn, Sie Thu,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]. FOREST ECOLOGY AND MANAGEMENT,2019,433:162-169. |
APA | Ota, Tetsuji,Ahmed, Oumer S.,Minn, Sie Thu,Khai, Tual Cin,Mizoue, Nobuya,&Yoshida, Shigejiro.(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,433,162-169. |
MLA | Ota, Tetsuji,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):162-169. |
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