Eastern Washington Disasters

This image displays a portion of Eastern Washington State, on the leeward side of the Cascade Mountains. Lightning point data, derived from the ISS Lightning Image Sensor for the year 2018 is overlaid upon 2018 Landsat 8-OLI imagery processed for a Normalized Difference Moisture Index, for the May-October fire season. Sparks symbolize the point coordinates of lightning strikes. The red-orange color shows dry vegetation, while the forest green represents vegetation with a higher moisture content.

Keywords: Amelia Zaino, Ani Matevosian, Amy Kennedy, Evan Bradish, lightning, wildfires, Eastern Washington, vegetation moisture. Background map layer, credit: Esri, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community

Integrating NASA Earth Observations to Analyze Spatiotemporal Distributions of Lightning-Caused Wildfires in Eastern Washington

According to the Washington Department of Natural Resources, roughly 36% of large fires in the state since 2010 were caused by lightning. General trends also show a greater increase in the number of lightning-ignited fires over the last three decades. The NASA DEVELOP Eastern Washington Disasters team partnered with The Nature Conservancy’s Washington Chapter to analyze the relationship between lightning strikes and wildfire events in Eastern Washington, with an emphasis on Kittitas and Yakima Counties. Using the International Space Station Lightning Imaging Sensor, the Landsat 5 Thematic Mapper and Landsat 8 Operational Land Imager vegetation moisture index, and Washington Department of Natural Resources historical fire data, the team generated a lightning-caused fire vulnerability index for 2001-2019. Climatology maps of lightning, wildfire, and vegetation moisture of the study area, along with an Esri ArcGIS StoryMap, further communicated project findings. Results demonstrated spatiotemporal patterns of lightning-ignited wildfires in Eastern Washington to inform land management practices and better predict areas that may be more vulnerable to these events.

California - Ames
Spring 2020
The Nature Conservancy, Washington Chapter
NASA Earth Observations
Landsat 5 TM
Landsat 8 OLI
Ani Matevosian (Project Lead)
Amelia Zaino
Amy Kennedy
Evan Bradish
Dr. Juan Torres-Pérez (Bay Area Environmental Research Institute, NASA Ames Research Center)
Dr. Kenton Ross (NASA Langley Research Center)
Dr. Christopher J. Schultz (Short-term Prediction Research and Transition Center, NASA Marshall Space Flight Center)
Dr. Chris Hain (Short-term Prediction Research and Transition Center, NASA Marshall Space Flight Center)
Dr. Vincent Ambrosia (NASA Ames Research Center)
John Dilger (Spatial Informatics Group)