DOI: 10.1016/j.jag.2016.03.005
Scopus记录号: 2-s2.0-85011874578
论文题名: SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity
作者: Fernández-Manso A ; , Fernández-Manso O ; , Quintano C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 50 起始页码: 170
结束页码: 175
语种: 英语
英文关键词: Burn severity
; Mediterranean
; Red-edge
; Sentinel-2
; Spectral indices
Scopus关键词: burning
; Mediterranean environment
; Sentinel
; spectral analysis
; wildfire
; Spain
英文摘要: Fires are a problematic and recurrent issue in Mediterranean ecosystems. Accurate discrimination between burn severity levels is essential for the rehabilitation planning of burned areas. Sentinel-2A MultiSpectral Instrument (MSI) record data in three red-edge wavelengths, spectral domain especially useful on agriculture and vegetation applications. Our objective is to find out whether Sentinel-2A MSI red-edge wavelengths are suitable for burn severity discrimination. As study area, we used the 2015 Sierra Gata wildfire (Spain) that burned approximately 80 km2. A Copernicus Emergency Management Service (EMS)-grading map with four burn severity levels was considered as reference truth. Cox and Snell, Nagelkerke and McFadde pseudo-R2 statistics obtained by Multinomial Logistic Regression showed the superiority of red-edge spectral indices (particularly, Modified Simple Ratio Red-edge, Chlorophyll Index Red-edge, Normalized Difference Vegetation Index Red-edge) over conventional spectral indices. Fisher's Least Significant Difference test confirmed that Sentinel-2A MSI red-edge spectral indices are adequate to discriminate four burn severity levels. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80073
Appears in Collections: 气候变化事实与影响
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作者单位: Agrarian Science and Engineering Department, University of León, Spain; Civil Protection Agency, Castilla y León Government, Valladolid, Spain; Electronic Technology Department, University of Valladolid, Spain; Sustainable Forest Management Research Institute, University of Valladolid-Spanish National Institute for Agricultural and Food Research and Technology, Spain
Recommended Citation:
Fernández-Manso A,, Fernández-Manso O,, Quintano C. SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,50