7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
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II - VALIDATION OF RS PRODUCTS FOR FIRE MANAGEMENT<br />
2 - BSM service chains methodologies<br />
The following chapters present the main characteristics of the RISK-EOS<br />
BSM service chains.<br />
2.1 - Telespazio Service Chain<br />
The BSM chain applied by TPZ can be summarized as follows:<br />
• Pre-processing with geometric and radiometric correcti<strong>on</strong>, and cloud<br />
mask generati<strong>on</strong>;<br />
• Core Processing for the automatic generati<strong>on</strong> of preliminary BSM polyg<strong>on</strong>s<br />
with:<br />
- Highlightness of the spectral characteristics of burned areas using<br />
vegetati<strong>on</strong> indexes (NDII, BAI and GEMI) and the hue comp<strong>on</strong>ent<br />
of the IHS transformati<strong>on</strong> (bands 7-4-3);<br />
- Identificati<strong>on</strong> of the burned core pixel based <strong>on</strong> a multi-threshold<br />
analysis between the pre and post-fire images, and inter-annual<br />
and intra-annual comparis<strong>on</strong>s;<br />
- Automatic delineati<strong>on</strong> of the burned area perimeter, starting with<br />
the identificati<strong>on</strong> of pixels correlated to the core pixels of the<br />
burned area. This process is based <strong>on</strong> the applicati<strong>on</strong> of two parallel<br />
algorithms: regi<strong>on</strong>s growing and watershed classificati<strong>on</strong>.<br />
• Post-processing for final refinement of the burned area perimeter with<br />
photo interpretati<strong>on</strong> and support of ground truth data when available.<br />
2.2 - Infoterra France Service Chain<br />
The BSM chain applied ITF is based <strong>on</strong> the following steps:<br />
• Pre-processing with atmospheric and radiometric correcti<strong>on</strong>s;<br />
• Identificati<strong>on</strong> of cloud masks;<br />
• Extracti<strong>on</strong> of the biophysical parameters (GLCV - Green cover fracti<strong>on</strong>;<br />
CSH - Canopy shade factor; SB- Soil brightness; DCL -Cloud reflectance);<br />
• Development of a decisi<strong>on</strong> tree with the biophysical parameters in order<br />
to identify seed pixels;<br />
• Applicati<strong>on</strong> of a regi<strong>on</strong> growing algorithm in order to have a fist versi<strong>on</strong><br />
of BSM product;<br />
• Post-processing of the first versi<strong>on</strong> of BSM by visual interpretati<strong>on</strong> and<br />
manual editi<strong>on</strong>.<br />
2.3 - ADISA Service Chain<br />
The BSM chain applied by ADISA is a multi-temporal approach based <strong>on</strong> differences<br />
between a pre and a post-fire dataset using a classificati<strong>on</strong> tree