Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast Active
Detailed information about past fire history is critical for understanding fire impacts and risk, as well as prioritizing conservation and fire management actions. Yet, fire history information is neither consistently nor routinely tracked by many agencies and states, especially on private lands in the Southeast. Remote sensing data products offer opportunities to do so but require additional processing to condense and facilitate their use by land managers. Here, we propose to generate fire history metrics from the Landsat Burned Area Products for the southeastern US. We will develop code for a processing pipeline that utilizes USGS high-performance computing resources, evaluate Amazon cloud computing services, and deliver our data products through USGS Science Base Catalog and Google Earth Engine. These products will help our stakeholders better understand past fire history and identify areas in greatest need of management actions, helping to make efficient use of limited resources.
Principal Investigator : Todd J Hawbaker
Co-Investigator : Joe Noble, Jim Smith, Casey Teske, Melanie K Vanderhoof
- Source: USGS Sciencebase (id: 60675b4cd34edc0435c09cc0)
Using the landsat burned area products to derive fire history relevant for fire management and conservation in the state of Florida, southeastern USA
- Overview
Detailed information about past fire history is critical for understanding fire impacts and risk, as well as prioritizing conservation and fire management actions. Yet, fire history information is neither consistently nor routinely tracked by many agencies and states, especially on private lands in the Southeast. Remote sensing data products offer opportunities to do so but require additional processing to condense and facilitate their use by land managers. Here, we propose to generate fire history metrics from the Landsat Burned Area Products for the southeastern US. We will develop code for a processing pipeline that utilizes USGS high-performance computing resources, evaluate Amazon cloud computing services, and deliver our data products through USGS Science Base Catalog and Google Earth Engine. These products will help our stakeholders better understand past fire history and identify areas in greatest need of management actions, helping to make efficient use of limited resources.
Principal Investigator : Todd J Hawbaker
Co-Investigator : Joe Noble, Jim Smith, Casey Teske, Melanie K Vanderhoof- Source: USGS Sciencebase (id: 60675b4cd34edc0435c09cc0)
- Publications
Using the landsat burned area products to derive fire history relevant for fire management and conservation in the state of Florida, southeastern USA
Development of comprehensive spatially explicit fire occurrence data remains one of the most critical needs for fire managers globally, and especially for conservation across the southeastern United States. Not only are many endangered species and ecosystems in that region reliant on frequent fire, but fire risk analysis, prescribed fire planning, and fire behavior modeling are sensitive to fire hAuthorsCasey Teske, Melanie K. Vanderhoof, Todd Hawbaker, Joe Noble, J. Kevin Hires - Connect