DOI: 10.1016/j.jag.2014.09.013
Scopus记录号: 2-s2.0-84921486216
论文题名: Detecting forest damage after a low-severity fire using remote sensing at multiple scales
作者: Arnett J ; T ; T ; R ; , Coops N ; C ; , Daniels L ; D ; , Falls R ; W
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 239
结束页码: 246
语种: 英语
英文关键词: Biomass
; Canopy damage
; Disturbance
; Fire
; High-spatial resolution
; RapidEye
Scopus关键词: accuracy assessment
; biomass
; detection method
; forest cover
; forest fire
; Landsat thematic mapper
; prescribed burning
; remote sensing
; satellite imagery
; spatial resolution
; Canada
英文摘要: Remote sensing technologies are an ideal platform to examine the extent and impact of fire on the land-scape. In this study we assess that capacity of the RapidEye constellation and Landsat (Thematic Mapperand Operational Land Imager to map fine-scale burn attributes for a small, low severity prescribed fire ina dry Western Canadian forest. Estimates of burn severity from field data were collated into a simple burnindex and correlated with a selected suite of common spectral vegetation indices. Burn severity classeswere then derived to map fire impacts and estimate consumed woody surface fuels (diameter ≥2.6 cm). Allcorrelations between the simple burn index and vegetation indices produced significant results (p < 0.01),but varied substantially in their overall accuracy. Although the Landsat Soil Adjusted Vegetation Indexprovided the best regression fit (R2= 0.56), results suggested that RapidEye provided much more spatiallydetailed estimates of tree damage (Soil Adjusted Vegetation Index, R2= 0.51). Consumption estimates ofwoody surface fuels ranged from 3.38 ± 1.03 Mg ha-1to 11.73 ± 1.84 Mg ha-1, across four derived sever-ity classes with uncertainties likely a result of changing foliage moisture between the before and afterfire images. While not containing spectral information in the short wave infrared, the spatial variabilityprovided by the RapidEye imagery has potential for mapping and monitoring fine scale forest attributes, as well as the potential to resolve fire damage at the individual tree level. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79555
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada; Department of Forest and Conservation Sciences, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada; Biosphere Management Systems Inc., 870 Handsworth Road, North Vancouver, BC, Canada
Recommended Citation:
Arnett J,T,T,et al. Detecting forest damage after a low-severity fire using remote sensing at multiple scales[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)