{ "culture": "en-US", "name": "aria_opera_hls", "guid": "4AC745BF-98B5-44AF-B6CE-26AF267243B1", "catalogPath": "", "snippet": "ARIA/OPERA Surface Disturbance Maps (DIST-ALERT) on 8/13/2023 for the August 2023 Hawai'i Wildfires", "description": "

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

8/13/2023<\/span><\/p>

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

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

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

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology created the Vegetation Disturbance Status and Maximum Vegetation Anomaly maps using the OPERA Surface Disturbance (DIST) product suite depicting areas that experienced vegetation cover loss due to the wildfire in Hawaii, USA in early August 2023. In particular, the maps were derived using the VEG-DIST-STATUS, VEG-ANOM-MAX, and VEG-DIST-DATE layers from the DIST-ALERT products that are generated based on the August 13, 2023 Sentinel-2 acquisition. <\/span><\/p>

The OPERA DIST product maps pixel-wise vegetation disturbance (specifically, vegetation cover loss) from the Harmonized Landsat-8 and Sentinel-2 A/B (HLS) scenes. Vegetation disturbance is flagged when there is an indicated decrease in vegetation cover within the 30 m x 30 m HLS pixel. The products are distributed as GeoTIFFs in Military Grid Reference System. Each tile has a ground footprint of 109.8 km x 109.8 km. The DIST-ALERT products are released at the cadence of HLS imagery. For more information about the product, please refer to the DIST Product page <\/span>https://www.jpl.nasa.gov/go/opera/products/dist-product-suite<\/span><\/a>.<\/span><\/p>

Suggested Use:<\/span><\/p>

Maximum Vegetation Anomaly <\/span>- Difference between historical and current year observed vegetation cover at the date of maximum decrease, measured from 0-100% (yellow - black). This product can be used as a proxy to the severity of the wildfire<\/span><\/p>

Vegetation Disturbance Status <\/span>- Shows the vegetation disturbance status of each pixel with a corresponding level of confidence:<\/span><\/p>