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Date of Image:<\/span><\/p>

May 19, 2026<\/span><\/p>

Date of Next Image:<\/span><\/p>

None Expected<\/span><\/p>

Summary:<\/span><\/p>

The polygon was derived from a combination of a normalized burn ratio (NBR) thresholding derived via Sentinel-2 near-infrared (NIR) and shortwave-infrared bands and a simple single-band NIR threshold from the same image. The NBR threshold for the binary burned classification was set to values <= -0.0999. Any NBR values that exceeded this threshold were classified as unburned and excluded from the polygon. This is a conservative threshold for classifying burned area and likely omits areas of lower intensity burning. Additionally, classified burned areas smaller than 50 contiguous Sentinel-2 pixels (~2 hectare) were removed from the polygon generation. To increase accuracy of the mapped perimeter, the NBR-based polygon was merged with a binary (burned/unburned) mask generated from a simple NIR threshold applied to band-8 of the Sentinel-2 image, where the chosen threshold value was 0.3. The result of the merge resulted in a more accurate mapping of burn areas, including lower-intensity burned areas. As a result of the NIR thresholding, open small water bodies were included in the mask (low NIR signal mimicking burn scars). To mitigate this effect, NIR-threshold areas <5 hectare were removed from the resulting burn perimeter map. It is possible that this step also removed small isolated burn patches. Lastly, since the NIR thresholding is also sensitive to older burn areas, the resulting map may include burn scars that pre-date the 5/19 event by days to months. <\/span><\/p>

Credits:<\/span><\/p>

USGS, Landsat, Clayton Elder (ARC)<\/span><\/p>

Esri REST Endpoint:<\/span><\/p>

See URL to the right.<\/span><\/p>

WMS Endpoint:<\/span><\/p>

<\/p>

<\/p>

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To increase accuracy of the mapped perimeter, the NBR-based polygon was merged with a binary (burned/unburned) mask generated from a simple NIR threshold applied to band-8 of the Sentinel-2 image, where the chosen threshold value was 0.3. The result of the merge resulted in a more accurate mapping of burn areas, including lower-intensity burned areas. As a result of the NIR thresholding, open small water bodies were included in the mask (low NIR signal mimicking burn scars). To mitigate this effect, NIR-threshold areas <5 hectare were removed from the resulting burn perimeter map. It is possible that this step also removed small isolated burn patches. Lastly, since the NIR thresholding is also sensitive to older burn areas, the resulting map may include burn scars that pre-date the 5/19 event by days to months. 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The NBR threshold for the binary burned classification was set to values <= -0.0999. Any NBR values that exceeded this threshold were classified as unburned and excluded from the polygon. This is a conservative threshold for classifying burned area and likely omits areas of lower intensity burning. Additionally, classified burned areas smaller than 50 contiguous Sentinel-2 pixels (~2 hectare) were removed from the polygon generation. To increase accuracy of the mapped perimeter, the NBR-based polygon was merged with a binary (burned/unburned) mask generated from a simple NIR threshold applied to band-8 of the Sentinel-2 image, where the chosen threshold value was 0.3. The result of the merge resulted in a more accurate mapping of burn areas, including lower-intensity burned areas. As a result of the NIR thresholding, open small water bodies were included in the mask (low NIR signal mimicking burn scars). To mitigate this effect, NIR-threshold areas <5 hectare were removed from the resulting burn perimeter map. It is possible that this step also removed small isolated burn patches. Lastly, since the NIR thresholding is also sensitive to older burn areas, the resulting map may include burn scars that pre-date the 5/19 event by days to months. 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