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Joe Noble

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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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Wildfires and prescribed fires are frequent but under-mapped across wetlands of the southeastern United States . High annual precipitation supports rapid post-fire recovery of wetland vegetation, while associated cloud cover limits clear-sky observations. In addition, the low burn severity of prescribed fires and spectral confusion between fluctuating water levels and burned areas have resulted in wetland burned area being chronically under-estimated across the region. In this analysis, we first quantify the increase in clear-sky observations by using Sentinel-2 in addition to Landsat 8. We then present an approach using the Sentinel-2 archive (2016-2019) to train a wetland burned area algorithm at 20 m resolution....
This project is designed to develop a spatial database to track prescribed burns conducted in Florida. The contract recipient will build a spatial database of no less than 10 years of previous prescribed fires (2006-2016), identified by the Florida Forest Service (FFS) burn permit database. The spatial database will be built upon existing spatial fire databases, particularly the Department of Defense (DoD) burn database implemented at Air Force bases in Florida. In populating the database, the vendor will develop and document methodologies to map spatial fire footprints using Geographic Information System (GIS) and remote sensing techniques. The database will be developed on a platform that will be accessible by...
This project is designed to develop a spatial database to track prescribed burns conducted in Florida. The contract recipient will build a spatial database of no less than 10 years of previous prescribed fires (2006-2016), identified by the Florida Forest Service (FFS) burn permit database. The spatial database will be built upon existing spatial fire databases, particularly the Department of Defense (DoD) burn database implemented at Air Force bases in Florida. In populating the database, the vendor will develop and document methodologies to map spatial fire footprints using Geographic Information System (GIS) and remote sensing techniques. The database will be developed on a platform that will be accessible by...
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