DOI: 10.1016/j.jag.2015.04.005
Scopus记录号: 2-s2.0-84943630057
论文题名: Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery
作者: Chen G ; , Metz M ; R ; , Rizzo D ; M ; , Meentemeyer R ; K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 40 起始页码: 91
结束页码: 99
语种: 英语
英文关键词: Burn severity
; Disease invasion
; Forest fire
; Interacting disturbances
; Landsat
; MASTER
; Sudden oak death
Scopus关键词: ASTER
; burning
; disease severity
; forest dynamics
; forest fire
; imagery
; Landsat
; landscape change
; mapping
; MODIS
; Phytophthora ramorum
英文摘要: Global environmental change has increased forest vulnerability to the occurrence of interacting disturbances, including wildfires and invasive diseases. Mapping post-fire burn severity in a disease-affected forest often faces challenges because burned and infested trees may exhibit a high similarity in spectral reflectance. In this study, we combined (pre- and post-fire) Landsat imagery and (post-fire) high-spectral resolution airborne MASTER data [MODIS (moderate resolution imaging spectroradiometer)/ASTER (advanced spaceborne thermal emission and reflection radiometer)] to map burn severity in a California coastal forest environment, where a non-native forest disease sudden oak death (SOD) was causing substantial tree mortality. Results showed that the use of Landsat plus MASTER bundle performed better than using the individual sensors in most of the evaluated forest strata from ground to canopy layers (i.e., substrate, shrubs, intermediate-sized trees, dominant trees and average), with the best model performance achieved at the dominant tree layer. The mid to thermal infrared spectral bands (3.0-12.5μm) from MASTER were found to augment Landsat's visible to shortwave infrared bands in burn severity assessment. We also found that infested and uninfested forests similarly experienced moderate to high degrees of burns where CBI (composite burn index) values were higher than 1. However, differences occurred in the regions with low burn severity (CBI values lower than 1), where uninfested stands revealed a much lower burn effect than that in infested stands, possibly due to their higher resilience to small fire disturbances as a result of higher leaf water content. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79547
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, United States; Department of Biology, Lewis and Clark College, 0615 S.W. Palatine Hill Road, MSC 53, Portland, OR, United States; Department of Plant Pathology, University of California, 1 Shields Ave, Davis, CA, United States; Center for Geospatial Analytics, North Carolina State University, 3120 Jordan Hall, Raleigh, NC, United States; Department of Forestry and Environmental Resources, North Carolina State University, 3120 Jordan Hall, Raleigh, NC, United States
Recommended Citation:
Chen G,, Metz M,R,et al. Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,40