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Date of Images<\/span><\/p>

Co and Post-event: <\/span>2025-10-30; 2025-11-02<\/span><\/p>

Pre-event: <\/span>2025-10-15,<\/span> <\/span>2025-10-17, 2025-10-18, 2025-10-20, 2025-10-23<\/span><\/font><\/p>

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

The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology created maps of surface water extent impacted by the flooding caused by Hurricane Melissa in Jamaica on October 28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product. <\/span><\/font><\/p>

The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind.  Use at your own risk.<\/span><\/font><\/p>

OPERA DSWx-HLS<\/i><\/span><\/font><\/p>

The OPERA DSWx-HLS was used to identify surface water for the flooding event. The images provided are a mosaic of OPERA DSWx-HLS products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. <\/span><\/font><\/p>

Note: Cloud/cloud shadow and snow/ice layers are derived from HLS Fmask quality assurance (QA) data, which sometimes misclassifies sediment-rich water as snow/ice. Snow/ice pixels were reclassified to open water to capture the full innundated extent.<\/span><\/font><\/p>

Water (WTR) Layer Description:<\/i> Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), snow/ice, cloud/cloud shadow and adjacent to cloud/cloud shadow, ocean masked, or no data classes as a result of processing the diagnostic (DIAG) layer through all intermediate steps/layers (WTR-1, and WTR-2).<\/span><\/font><\/p>

Water (WTR) Layer Values:<\/i><\/span><\/font><\/p>

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