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Original Articles

Development and implementation of a validation protocol for crisis maps: reliability and consistency assessment of burnt area maps

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Pages 8-24 | Received 31 May 2010, Accepted 20 Jul 2010, Published online: 02 Nov 2011

Figures & data

Figure 1.  (a) Subset of the map of affected urban areas (1:15,000); (b) subset of the map of affected forest cover (1:25,000). North direction is upward in both maps.

Figure 1.  (a) Subset of the map of affected urban areas (1:15,000); (b) subset of the map of affected forest cover (1:25,000). North direction is upward in both maps.

Figure 2.  Workflow of the validation methodology used for reliability and consistency assessments of the two crisis maps.

Figure 2.  Workflow of the validation methodology used for reliability and consistency assessments of the two crisis maps.

Table 1. Reference data used for the validation of the two rapid crisis maps.

Table 2. Assessment of the total area of forest cover based on visual interpretation of Google Earth data and performed by two analysts; comparison of the total burnt areas obtained from remote-sensing data to the total burnt area estimated by ONF.

Table 3. Inter-comparison of the masks of burnt areas derived from SPOT-4 (reference) and ALOS images.

Figure 3.  Perimeter of burnt areas derived from SPOT-4 (yellow outline) and ALOS AVNIR-2 images (red outline).

Figure 3.  Perimeter of burnt areas derived from SPOT-4 (yellow outline) and ALOS AVNIR-2 images (red outline).

Figure 4.  Ground photographs taken in situ and highlighting the limitations of nadir looking remote-sensing data for the detection of understory burns.

Figure 4.  Ground photographs taken in situ and highlighting the limitations of nadir looking remote-sensing data for the detection of understory burns.

Table 4. Error matrix computed with the 38 surveyed sample units. Each unit is representative of 50×50 m2 (or 5×5 pixels).

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