The temporal dimension of differenced Normalized Burn Ratio (dNBR) fire/burn severity studies: The case of the large 2007 Peloponnese wildfires in Greece

Abstract

9The temporal dimension of differenced Normalized Burn Ratio (dNBR) fire/burn severity 10 studies was studied for the case of the large 2007 Peloponnese wildfires in Greece. Fire 11 severity is defined as the degree of environmental change as measured immediately post-fire, 12 whereas burn severity combines the direct fire impact and ecosystems responses. Geo were retrieved using time series similarity of a pre-fire year. The analysis incorporated the 18 optimality statistic, which evaluates index performance based on displacements in the mid- 104This index takes into account the pre-fire amount of biomass, and therefore, rather than being

Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data

“…Such studies are particularly important as NASA continues to develop new sensors with multiple spectral bands in the thermal infrared such as the planned Hyperspectral Infrared (HyspIRI) HyspIRI sensor (http://hyspiri.jpl.nasa.gov/). Due to the characteristic temporal dynamics of the post-fire environment, the utility of adding T s in the fire severity assessment will heavily depend on the post-fire acquisition timing [14,59,75]. Veraverbeke et al [75] showed that, although the post-fire T s is long lasting, the magnitude of change rapidly alters as time elapses after the fire.…”

“…This impact can be described as: (i) the amount of damage [3][4][5]; (ii) the physical, chemical and biological changes [6][7][8][9][10]; or (iii) the degree of alteration [11,12] that fire causes to an ecosystem. In this context, the terms fire severity and burn severity are often used interchangeably [2], however, Lentile et al [13] and Veraverbeke et al [14], suggest a clear distinction between both terms by considering the fire disturbance continuum [15], which addresses three different temporal fire effects phases: before, during and after the fire. In this framework fire severity quantifies the short-term fire effects in the immediate post-fire environment while burn severity quantifies both the short-and long-term impact as it includes response processes.…”

Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset

“…The S-G method is suitable for this proposal, since other smoothing methods cannot capture a sudden change of the temporal values, for example Fourier series or least squares fitting to sinusoidal functions [73][74][75]. The choice of the window width in the S-G filter is essential to provide smoothing without loss of resolution.…”

Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: Accounting for soil brightness variation

“…For the Kalamata meteorological station (37°4' N, 22°1' E) the average 150 annual temperature is 17.8 °C and the mean annual precipitation equals 780 mm (Hellenic 151 National Meteorological Service, www.hnms.gr, accessed 20 December 2010). The fires 152 consumed more than 175 000 ha, which merely consisted of shrub land and pine forest 153 (Veraverbeke et al, 2010a). Black pine (Pinus nigra) is the dominant conifer species.…”