2015
DOI: 10.1007/s11069-015-1792-9
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Assessing the influence of atmospheric and topographic correction and inclusion of SWIR bands in burned scars detection from high-resolution EO imagery: a case study using ASTER

Abstract: In the present study, the effect of atmospheric and topographic correction to burned area delineation from Earth Observation (EO) imagery is explored. Furthermore, the potential added value of the inclusion of the shortwave infrared (SWIR) bands for improving retrievals of burned area cartography is investigated. In particular, the capability of ASTER imagery when combined with the maximum likelihood (ML) and the support vector machines (SVMs) classification techniques is examined herein. As a case study, a Me… Show more

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Cited by 12 publications
(7 citation statements)
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“…Atmospheric and topographic correction aims at providing good spectral coherence between scenes. Atmospheric correction is a critical step in image processing, especially when the objectives of the study are based on the analysis of spectral indices, the use of different sensors, or in multi-temporal analysis (Chuvieco, 2009;Said et al, 2015 andHantson andChuvieco, 2011). This correction consists of the conversion of measured radiances above the atmosphere (Top Of Atmosphere, TOA) to surface reflectances (Bottom Of Atmosphere, BOA).…”
Section: Imagery Pre-procesingmentioning
confidence: 99%
“…Atmospheric and topographic correction aims at providing good spectral coherence between scenes. Atmospheric correction is a critical step in image processing, especially when the objectives of the study are based on the analysis of spectral indices, the use of different sensors, or in multi-temporal analysis (Chuvieco, 2009;Said et al, 2015 andHantson andChuvieco, 2011). This correction consists of the conversion of measured radiances above the atmosphere (Top Of Atmosphere, TOA) to surface reflectances (Bottom Of Atmosphere, BOA).…”
Section: Imagery Pre-procesingmentioning
confidence: 99%
“…This kernel requires the definition of only a small number of input parameters (i.e., the C and γ parameters) and has also already been shown to produce generally good results in a range of classification studies (e.g., [29,30,51]). SVM optimum parameters of the classification implementation were established.…”
Section: Support Vector Machinesmentioning
confidence: 99%
“…The access to remote sensing allows previously inaccessible fires to be monitored and recorded (Fraser et al, 2003). However, recoding of images from fires can be difficult, as smoke from fires can obscure sensors and make visual interpretations problematic (Gedalof et al, 2005;Said et al, 2015).…”
Section: Introductionmentioning
confidence: 99%