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Innovative RGB Imagery for Disaster Response and Fire Event Analysis

Explore the cutting-edge use of RGB imagery in disaster response and weather forecasting through MODIS and VIIRS data. This session highlights the Aqua MODIS true color imagery showcasing record-breaking fire events in New Mexico for 2011, as well as comprehensive assessments of fog and cloud cover using Day-Night Band RGB. The VIIRS imagery, particularly in low light conditions, reveals significant details such as city lights and cloud formations, providing invaluable insights for NWS WFOs. This partnership enhances situational awareness in local forecasting challenges.

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Innovative RGB Imagery for Disaster Response and Fire Event Analysis

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  1. Session 2.3 RGBs Images for Hyper Wall

  2. MODIS True Color Imagery – for Hyper Wall NWS WFO Mobile, AL AQUA MODIS True Color Composite, 6/7/11 Record Breaking Year for New Mexico Fire Events AQUA MODIS True Color Composite 4/25/10 Deepwater Horizon Incident SPoRT’s partnership with NWS WFOs provides them with unique imagery to support disaster response and local forecast challenges.

  3. Day-Night Band RGB within Graphicast – for Hyper Wall

  4. Supplemental Value to VIIRS DNB RGB – for Hyper Wall Use of longwave IR shows clouds in DNB RGB during low light phases Day-Night Band Radiance (VIIRS) by itself, with no additional channels or composite for 22 August 2014. Note only 15% of the full moon exists resulting in little to no reflection of light from the clouds. Day-Night Band Radiance RGB (VIIRS) for 22 August 2014. The image is centered over Colorado and Wyoming and the Denver city lights are in the middle of the image. Note the clouds in blue via the use of the 11µm band.

  5. RGB Imagery Assessment –Images for Hyper Wall

  6. RGB Imagery Assessment –Images for Hyper Wall MRX example to analyze fog through mid-level clouds. This was submitted during assessment and used in final report

  7. VIIRS RGB Imagery Assessment –for Hyper Wall City / town lights Differentiated hot spots

  8. VIIRS RGB Imagery Assessment – images for Hyper Wall

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