Science Keywords>HUMAN DIMENSIONS
Fuel Classification for the Southern Appalachian Mountains using Hyperspectral Image Analysis and Landscape Ecosystem ClassificationEntry ID: USDA_SRC_fuelclassification
Abstract: This project uses a two-phase approach to model fuel loading in the region.
The first phase involves the development of a fuels classification based on
ground measurements and an existing Landscape Ecosystem Classification system
to define fuel categories, as fuel classes might be correlated with the same
variables used to define landscape units (geography and topography). Once this
... classification is developed, the second phase of this project will determine if
fuels in each class can be detected from aerial images using hyperspectral
image analysis. Signatures of reflectance values will be developed for each
fuel category with ground measurements. Analysis of hyperspectral images will
identify areas on the ground containing each category of fuel loading.
Validation of the signatures will be done by image analysis and ground truthing
for an area away from those used to develop the signatures. Resulting
signatures will greatly reduce the cost of mapping fuels throughout the
southern Appalachians because analysis of hyperspectral images will be less
Excessive fuel loading and rapid urbanization are of concern throughout the
southern Appalachian Mountains. Prescribed burning has been attempted only
recently in these mountains and fuel models are not available. This project
uses a two-phase approach to model fuel loading in the region.
Data Set Citation
Dataset Originator/Creator: Thomas A. Waldrop, US Department of Agriculture
Dataset Title: Image Analysis and Landscape Ecosystem Classification
Dataset Release Place: Clemson, South Carolina
Dataset Publisher: University of Florida
Start Date: 2002-01-01Stop Date: 2005-12-31
ISO Topic Category
Quality Data are logically consistent for measured values and conditions.
275 plots were sampled for fuels and vegetation on the Andrew Pickens Ranger
District site. GPS data were collected for each plot. 250 plots were sampled
for fuels and vegetation at the remaining three research locations. GPS data
were collected at over 75% of the plots in these three locations.
Access Constraints none
Use Constraints none
Data Set Progress
Role: TECHNICAL CONTACT
Phone: (864) 656-5054
Email: twaldrop at fs.fed.us
USDA Forest Service, Southern Research Station
Province or State: South Carolina
Postal Code: 29634-1003
Stottlemyer, A.D, 2004, Fuel Characterization of the Chauga Ridges Region of the southern Appalachian Mountains Clemson, SC, Clemson University, M.S.
Brudnak, Lucy A.; Waldrop, Thomas A.; Rideout-Hanzak, Sandra, 2005, A
comparison of three methods for classifying fuel loading in the Southern
Appalachian Mountains, Conference proceedings Proceedings 13th biennial
southern sivicultural research conference, Asheville, NC, USDA Forest
Service. In Connor, Kristina F.,ed. Memphis, TN, 2005 March 1-3, Proceedings 13th biennial southern sivicultural research conference. Memphis, TN
Rideout-Hanzak, Sandra; Brudnak, Lucy A.; Waldrop, Thomas A., 2005, Development of a photo guide for fuels in the Southern Appalachian Mountains of northeast Georgia and western South Carolina, Conference proceedings, Proceedings 13th biennial southern silvicultural research conference, Asheville, NC, USDA Forest Service. In Connor, Kristina F.,ed. Memphis, TN, 2005 March 1-3, Proceedings 13th biennial southern sivicultural research conference. Memphis, TN.
Stottlemyer, Aaron D.; Shelburne, Victor B.; Waldrop, Thomas A.;
Rideout-Hanzak, Sandra; Bridges, William C. 2005. Fuel characterization of the Chauga Ridges Region on the Southern Appalachian Mountains. Conference
proceedings Proceedings 13th biennial southern silvicultural research
conference Asheville, NC, USDA Forest Service. In Connor, Kristina F.,ed.
Memphis, TN, 2005 March 1-3, Proceedings 13th biennial southern sivicultural research conference. Memphis, TN.
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Creation and Review Dates
DIF Creation Date: 2005-10-24
Last DIF Revision Date: 2016-01-27