气候变化领域集成服务门户(CCPortal): Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications

CCPortal

DOI	10.1016/j.foreco.2019.117564
	Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications
	Navarro-Cerrillo R.M.; Varo-Martínez M.Á.; Acosta C.; Palacios Rodriguez G.; Sánchez-Cuesta R.; Ruiz Gómez F.J.
发表日期	2019
ISSN	0378-1127
卷号	451
英文摘要	The dehesa ecosystem is severely affected by root rot decline caused by the soilborne pathogenic oomycetes of the genus Phytophthora. Defoliation mapping is particularly challenging in low density ecosystems with high spectral variability due to environmental heterogeneity within relatively short distances. In this study, holm oak defoliation was assessed by classifying two different levels (low and high defoliation trees, with a 30% crown-defoliation threshold) using a combination of multispectral WorldView-2 (WV-2) and Airborne Laser Scanning (ALS) data in an automated Random Forest (RF) modeling approach. Besides the original remote sensing data, a set of vegetation indices (VI) and ALS-derived structural parameters were derived. Seven predictors of defoliation were selected from the ALS metrics, WV-2 bands, and indices datasets: the height percentile of the tree in which occurs the maximum number of returns, mean values in the tree crown of the Chlorophyll index green, Plant Senescence Reflectance Index, Red Edge Normalized Difference Vegetation Index, Double Peak Index, band 3 of the WV-2 image, and bincentil 70 values. The confusion matrix of the external evaluation achieved the highest overall classification accuracy (86.7%) and the highest Kappa index (0.73). Finally, we produced a predicted tree-defoliation map which was used to establish the relationship between Quercus ilex damage levels and soil variables and management practices. High defoliated trees were more abundant in zones of shallow and compacted soil, with lower silt proportion and Ca concentration. Our results offer to forest managers a tool for the rapid and effective assessment of large areas affected by root rot defoliation in their planning of control and restoration measures aimed at reducing the holm oak mortality of holm oaks in management units. © 2019 Elsevier B.V.
英文关键词	Defoliation; Dehesas forest type; Holm oak decline; Predictor remote sensing datasets; Random forest; Segmentation
语种	英语
scopus关键词	Conservation; Decision trees; Ecosystems; Image segmentation; Information management; Laser applications; Photomapping; Remote sensing; Vegetation; Defoliation; Forest type; Oak decline; Predictor remote sensing datasets; Random forests; Forestry; airborne survey; deciduous tree; defoliation; heterogeneity; integrated approach; laser; leaf; mortality; population decline; prediction; root rot; scanner; segmentation; WorldView; Conservation; Defoliation; Ecosystems; Forestry; Plants; Remote Sensing; Oomycetes; Phytophthora; Quercus; Quercus ilex; Viridiplantae
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/155764
作者单位	Department of Forestry Engineering. Lab of Silviculture, DedroLab and Climate Change–TreeSatLab – University of Cordoba. Edf. Leonardo da Vinci, Campus de Rabanales, Cordoba, 14075, Spain
推荐引用方式 GB/T 7714	Navarro-Cerrillo R.M.,Varo-Martínez M.Á.,Acosta C.,et al. Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications[J],2019,451.
APA	Navarro-Cerrillo R.M.,Varo-Martínez M.Á.,Acosta C.,Palacios Rodriguez G.,Sánchez-Cuesta R.,&Ruiz Gómez F.J..(2019).Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications.Forest Ecology and Management,451.
MLA	Navarro-Cerrillo R.M.,et al."Integration of WorldView-2 and airborne laser scanning data to classify defoliation levels in Quercus ilex L. Dehesas affected by root rot mortality: Management implications".Forest Ecology and Management 451(2019).