Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.11.049 |
Detection of coarse woody debris using airborne light detection and ranging (LiDAR) | |
Joyce, Michael J.1,3; Erb, John D.2; Sampson, Barry A.2; Moen, Ron A.3,4 | |
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:678-689 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Coarse woody debris (CWD) is an essential component of forest ecosystems that provides habitat for diverse species, functions in water and nutrient cycling, and can be a potential surface fuel in wildfires. CWD detection and mapping would enhance forestry and wildlife research and management but passive remote sensing technologies cannot provide information on features beneath forest canopy, while field-based CWD inventories are not practical for mapping CWD over large areas. Airborne light detecting and ranging (LiDAR) is a remote sensing technology that provides detailed information on three-dimensional vegetation structure that could overcome limitations of passive remote sensing technologies and field-based inventories. Our objectives were to evaluate whether airborne LiDAR could be used to detect individual pieces of CWD. We measured 1679 pieces of CWD at 144 field plots from 2015 to 2016. We acquired high-density (similar to 24 first returns/m(2)) LiDAR data in 2014, filtered out canopy and sub-canopy returns using a height threshold based on field measurements of CWD, and used height-filtered data to determine which field-measured pieces of CWD were visible in the resulting point cloud. CWD pieces that were detected constituted 50% of plot CWD volume, and there was a strong, positive correlation between total plot CWD volume and volume of detected pieces (r = 0.96). Overall, we detected 23% of the individual pieces of CWD we measured. Large pieces of CWD were most likely to be detected, with the majority of pieces >= 30 cm diameter or >= 13.9 m long detected. Canopy density, shrub density, and forest type did not influence detection probability. CWD detection rates increased from 1 pulses/m(2) to 16 pulses/m(2), and CWD detection rate was constant from 16 pulses/m(2) to 24 pulses/m(2). Our results demonstrate that airborne LiDAR can be used to detect CWD. LiDAR-based detection and mapping of CWD will be most useful for applications that focus on larger and longer pieces of CWD or applications focused on total CWD volume. |
英文关键词 | Coarse woody debris LiDAR Remote sensing Wildlife habitat |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456902500068 |
WOS关键词 | PREDICTION ; ECOLOGY ; DENSITY ; FORESTS ; BIOMASS ; MODELS ; VOLUME ; AREA |
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/22098 |
专题 | 气候变化 |
作者单位 | 1.Univ Minnesota, Integrated Biosci Grad Program, 1035 Kirby Dr, Duluth, MN 55812 USA; 2.Minnesota Dept Nat Resources, Forest Wildlife & Populat Res Grp, 1201 E Hwy 2, Grand Rapids, MN 55744 USA; 3.Univ Minnesota, Nat Resources Res Inst, 5013 Miller Trunk Hwy, Duluth, MN 55811 USA; 4.Univ Minnesota, Dept Biol, 1035 Kirby Dr, Duluth, MN 55812 USA |
推荐引用方式 GB/T 7714 | Joyce, Michael J.,Erb, John D.,Sampson, Barry A.,et al. Detection of coarse woody debris using airborne light detection and ranging (LiDAR)[J]. FOREST ECOLOGY AND MANAGEMENT,2019,433:678-689. |
APA | Joyce, Michael J.,Erb, John D.,Sampson, Barry A.,&Moen, Ron A..(2019).Detection of coarse woody debris using airborne light detection and ranging (LiDAR).FOREST ECOLOGY AND MANAGEMENT,433,678-689. |
MLA | Joyce, Michael J.,et al."Detection of coarse woody debris using airborne light detection and ranging (LiDAR)".FOREST ECOLOGY AND MANAGEMENT 433(2019):678-689. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论