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7th Workshop on Forest Fire Management - EARSeL, European ...

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246<br />

IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT<br />

Figure 3 - Relati<strong>on</strong>ship between percent of burned and percent of vegetati<strong>on</strong> with NIR and MIR<br />

ground reflectance and NDVI at grid cells of 90 meters resoluti<strong>on</strong> of ASTER data.<br />

Figure 4 - Relati<strong>on</strong>ship between percent of burned and percent of vegetati<strong>on</strong> with NIR and MIR<br />

ground reflectance and NDVI at grid cells of 250 meters resoluti<strong>on</strong> of MODIS data.<br />

References<br />

Chuvieco E., C<strong>on</strong>galt<strong>on</strong> R.G., 1988. Mapping and inventory of forest fires<br />

from digital processing of TM data. Geocarto Internati<strong>on</strong>al 4, 41-53.<br />

Koutsias N., Karteris M., 2000. Burned area mapping using logistic regressi<strong>on</strong><br />

modeling of a single post-fire Landsat-5 Thematic Mapper image.<br />

Internati<strong>on</strong>al Journal of Remote Sensing 21, 673-687.<br />

Koutsias N., Mallinis G., Karteris M., 2009. A forward/backward principal<br />

comp<strong>on</strong>ent analysis of Landsat-7 ETM+ data to enhance the spectral signal<br />

of burnt surfaces. ISPRS Journal of Photogrammetry & Remote<br />

Sensing 64, 37-46.

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