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San Diego Wildfire Hazards Information Center mashup
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Predicting post-wildfire regreen rates: an application of multi-factor regression modeling
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Tracking Santa Barbara County wildfires: a web mapping application
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Modeling burn probability: a Maxent approach to estimating California's wildfire potential
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Spatial analysis of human activities and wildfires in the Willamette National Forest
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Pre-incident plan mapping in Kern County's wildland urban interface
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Geospatial analysis of the Round Fire: a replication of burn severity analyses in the Sierra Nevada
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The wildland-urban interface in Lassen County, California: a change analysis 2000–2015
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Into the wildfire: campus racial climate and the Trump presidency
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A real-time debris prediction model (USCDPM) incorporating wildfire and subsequent storm events
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Burning out: how California firefighters quell post-traumatic stress and suicides
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What makes hazard mitigation happen?: The story of Oakland after the 1991 wildfire
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What makes hazard mitigation happen? The story of Oakland after the 1991 wildfire
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Letting the light back in: Upper Ojai after the Thomas Fire
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Concentration and size partitioning of trace metals in surface waters of the global ocean and storm runoff
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Measurement and methods of assessing the impact of prevalent particulate matter sources on air quality in southern California
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Microsoft Word - Thesis_Burkett.docx
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Predicting debris yield using artificial intelligence models
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Electromagnetic scattering models for satellite remote sensing of soil moisture using reflectometry from microwave signals of opportunity
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Questioning the cause of calamity: using remotely sensed data to assess successive fire events
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Daily Trojan, vol. 204, no. 20, Sep 27, 2021
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Seeing the future through the lens of the past: fusing paleoclimate observations and models
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Page 5
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Using Maxent modeling to predict habitat of mountain pine beetle in response to climate change
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