DOI: 10.1016/j.jag.2017.09.014
Scopus记录号: 2-s2.0-85032181731
论文题名: Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity
作者: Quintano C ; , Fernández-Manso A ; , Fernández-Manso O
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64 起始页码: 221
结束页码: 225
语种: 英语
英文关键词: Burn severity
; dNBR
; Landsat
; Mediterranean ecosystems
; Sentinel-2
Scopus关键词: burning
; forest ecosystem
; Landsat
; Mediterranean environment
; Sentinel
; spatial distribution
; wildfire
; Sierra de Gata
; Spain
英文摘要: Nowadays Earth observation satellites, in particular Landsat, provide a valuable help to forest managers in post-fire operations; being the base of post-fire damage maps that enable to analyze fire impacts and to develop vegetation recovery plans. Sentinel-2A MultiSpectral Instrument (MSI) records data in similar spectral wavelengths that Landsat 8 Operational Land Imager (OLI), and has higher spatial and temporal resolutions. This work compares two types of satellite-based maps for evaluating fire damage in a large wildfire (around 8000 ha) located in Sierra de Gata (central-western Spain) on 6–11 August 2015. 1) burn severity maps based exclusively on Landsat data; specifically, on differenced Normalized Burn Ratio (dNBR) and on its relative versions (Relative dNBR, RdNBR, and Relativized Burn Ratio, RBR) and 2) burn severity maps based on the same indexes but combining pre-fire data from Landsat 8 OLI with post-fire data from Sentinel-2A MSI data. Combination of both Landsat and Sentinel-2 data might reduce the time elapsed since forest fire to the availability of an initial fire damage map. Interpretation of ortho-photograph Pléiades 1 B data (1:10,000) provided us the ground reference data to measure the accuracy of both burn severity maps. Results showed that Landsat based burn severity maps presented an adequate assessment of the damage grade (κ statistic = 0.80) and its spatial distribution in wildfire emergency response. Further using both Landsat and Sentinel-2 MSI data the accuracy of burn severity maps, though slightly lower (κ statistic = 0.70) showed an adequate level for be used by forest managers. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79894
Appears in Collections: 气候变化事实与影响
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作者单位: Electronic Technology Department, Sustainable Forest Management Research Institute, University of Valladolid-INIA, C/Francisco Mendizábal, s/n, Valladolid, Spain; Agrarian Science and Engineering Department, University of León, Av. Astorga s/n, Ponferrada, Spain; Civil Protection Agency, Castilla y León Government, Valladolid, Spain
Recommended Citation:
Quintano C,, Fernández-Manso A,, Fernández-Manso O. Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64