Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.08.052 |
Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands | |
Barnes, Chloe1; Balzter, Heiko1,2; Barrett, Kirsten1; Eddy, James3; Milrier, Sam4; Suarez, Juan C.5 | |
2017-11-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 404 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Scotland |
英文摘要 | The invasive phytopathogen Phytophthora ramorum has caused extensive infection of larch forest across areas of the UK, particularly in Southwest England, South Wales and Southwest Scotland. At present, landscape level assessment of the disease in these areas is conducted manually by tree health surveyors during helicopter surveys. Airborne laser scanning (ALS), also known as LiDAR, has previously been applied to the segmentation of larch tree crowns infected by P. ramorum infection and the detection of insect pests in coniferous tree species. This study evaluates metrics from high-density discrete ALS point clouds (24 points/m(2)) and canopy height models (CHMs) to identify individual trees infected with P. ramorum and to discriminate between four disease severity categories (NI: not infected, 1: light, 2: moderate, 3: heavy). The metrics derived from ALS point clouds include canopy cover, skewness, and bicentiles (B60, B70, B80 and B90) calculated using both a static (1 m) and a variable (50% of tree height) cut-off height. Significant differences are found between all disease severity categories, except in the case of healthy individuals (NI) and those in the early stages of infection (category 1). In addition, fragmentation metrics are shown to identify the increased patchiness and infra-crown height irregularities of CHMs associated with individual trees subject to heavy infection (category 3) of P. ramorum. Classifications using a k-nearest neighbour (k-NN) classifier and ALS point cloud metrics to classify disease presence/absence and severity yielded overall accuracies of 72% and 65% respectively. The results indicate that ALS can be used to identify individual tree crowns subject to moderate and heavy P. ramorum infection in larch forests. This information demonstrates the potential applications of ALS for the development of a targeted phytosanitary approach for the management of P. ramorum. |
英文关键词 | Phytophthora ramorum Larch LiDAR Tree disease |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413384000029 |
WOS关键词 | INDIVIDUAL TREES ; RANGING LIDAR ; LIGHT DETECTION ; SMALL-FOOTPRINT ; CLASSIFICATION ; DELINEATION ; VOLUME ; LANDSCAPE ; IMAGERY ; VECTOR |
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/22186 |
专题 | 气候变化 |
作者单位 | 1.Univ Leicester, LISEO, Ctr Landscape & Climate Res, Dept Geog, Univ Rd, Leicester LE1 7RH, Leics, England; 2.Univ Leicester, NERC Natl Ctr Earth Observat, Univ Rd, Leicester LE1 7RH, Leics, England; 3.Bluesky Int Ltd, Old Toy Factory, Jackson St, Coalville LE67 3NR, Leics, England; 4.Nat Resources Wales, Ruthin LL14 2NL, Denbighshire, England; 5.Northern Res Stn, Forest Res, Rodin EH25 9SY, Midlothian, Scotland |
推荐引用方式 GB/T 7714 | Barnes, Chloe,Balzter, Heiko,Barrett, Kirsten,et al. Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands[J]. FOREST ECOLOGY AND MANAGEMENT,2017,404. |
APA | Barnes, Chloe,Balzter, Heiko,Barrett, Kirsten,Eddy, James,Milrier, Sam,&Suarez, Juan C..(2017).Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands.FOREST ECOLOGY AND MANAGEMENT,404. |
MLA | Barnes, Chloe,et al."Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands".FOREST ECOLOGY AND MANAGEMENT 404(2017). |
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