MERIS Full Resolution data for mapping level‐of‐damage caused by forest fires: the Valencia de Alcántara event in August 2003

González-Alonso, F.; Miguel, S. Merino de; Roldán-Zamarrón, A.; García-Gigorro, S.; Cuevas, J. M.

doi:10.1080/01431160600979115

Cited by 29 publications

(22 citation statements)

References 15 publications

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“…Hacer una estimación rápida, precisa y económica de las áreas quemadas es de gran importancia a la hora de localizar de una forma rápida las zonas de intervención prioritaria así como para la planificación de futuros trabajos de restauración de la zona quemada (González-Alonso et al, 2007a). Existen numerosos métodos para cartografiar superficies quemadas utilizando técnicas de Teledetección.…”

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Canary Islands burned land mapping using MODIS and HOTSPOT data

et al. 2008

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This study presents a rapid, accurate and economic methodology for forest fire burned areas estimation using remote sensing techniques. The algorithm used is based on thresholds identifications from infrared spectral band, using MODIS images and hotspots time series delivered from NASA. The threshold is defined by the maximum correlation between the infrared band and hotspot influence area. The results show the usefulness of the presented methodology in forest fire burned area estimation and its relevance for prioritizing forest management activities and for planning future reforestations work in the affected area.

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Canary Islands burned land mapping using MODIS and HOTSPOT data

et al. 2008

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“…The fire impact can be described as (i) the amount of damage (Hammill and Bradstock, 2006;Gonzalez-Alonso et al, 2007;Chafer, 2008), (ii) the physical, chemical and biological changes (Landmann, 2003;Chafer et al, 2004;Cocke et al, 2005;Stow et al, 2007;Lee et al, 2008) or (iii) the degree of alteration (Brewer et al, 2005;Eidenshink et al, 2007) that fire causes to an ecosystem and is quantified as the severity of fire. In this context, the terms fire and burn severity are often interchangeably used.…”

Section: Introductionmentioning

confidence: 99%

Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity

Veraverbeke¹,

Verstraeten²,

Lhermitte³

et al. 2010

International Journal of Applied Earth Observation and Geoinfor

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The influence of illumination effects on the optimality of the dNBR (differenced Normalized Burn Ratio) was evaluated for the case of the 2007 Peloponnese (Greece) wildfires using a pre/post-fire Landsat TM (Thematic Mapper) image couple. Well illuminated pixels (south and south-east facing slopes) exhibited more optimal displacements in the bi-spectral feature space than more shaded pixels (north and north-west exposed slopes). Moreover, pixels experiencing small image-to-image differences in illumination obtained a higher optimality than pixels with a relatively large difference in illumination. To correct for illumination effects, the c-correction method and a modified c-correction technique were applied. The resulting median dNBR optimality of uncorrected, c-corrected and modified c-correction data was respectively 0.58, 0.60 and 0.71 (differences significant for p<0.001). The original ccorrection method improved the optimality of badly illuminated pixels while deteriorating the optimality of well illuminated pixels. In contrast, the modified c-correction technique improved the optimality of all the pixels while retaining the prime characteristic of topographic correction techniques, i.e. detrending the illumination-reflectance relationship. For a minority of the data, for shaded pixels and/or pixels with a high image-to-image difference in illumination, the original c-correction outperformed the modified c-correction technique. In this study conducted in rugged terrain and with a bi-temporal image acquisition scheme that substantially deviated from the ideal anniversary date scheme the modified ccorrection technique resulted in a more reliable change detection.

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“…Severity, in contrast, is more general in gauging the fire impact. 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.…”

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confidence: 99%

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

2011

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Abstract:Wildland fires are a yearly recurring phenomenon in many terrestrial ecosystems. Accurate fire severity estimates are of paramount importance for modeling fire-induced trace gas emissions and rehabilitating post-fire landscapes. We used high spatial and high spectral resolution MODIS/ASTER (MASTER) airborne simulator data acquired over four 2007 southern California burns to evaluate the effectiveness of 19 different spectral indices, including the widely used Normalized Burn Ratio (NBR), for assessing fire severity in southern California chaparral. Ordinal logistic regression was used to assess the goodness-of-fit between the spectral index values and ordinal field data of severity. The NBR and three indices in which the NBR is enhanced with surface temperature or emissivity data revealed the best performance. Our findings support the operational use of the NBR in chaparral ecosystems by Burned Area Emergency Rehabilitation (BAER) projects, and demonstrate the potential of combining optical and thermal data for assessing fire severity. Additional testing in more burns, other ecoregions and different vegetation types is required to fully understand how (thermally enhanced) spectral indices relate to fire severity.

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MERIS Full Resolution data for mapping level‐of‐damage caused by forest fires: the Valencia de Alcántara event in August 2003

Cited by 29 publications

References 15 publications

Canary Islands burned land mapping using MODIS and HOTSPOT data

Canary Islands burned land mapping using MODIS and HOTSPOT data

Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity

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

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