Developing a new fuel load mapping strategy using: USDA FS Forest Inventory and Analysis (FIA) protocols, Digital Photogrammetry, International Classification of Ecological Communities and Disturbance History

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dc.contributor.advisor Heather Cheshire, Committee Chair en_US
dc.contributor.advisor James Vose, Committee Member en_US
dc.contributor.advisor Hugh Devine, Committee Member en_US Rosenfeld, Brian Jay en_US 2010-04-02T18:03:02Z 2010-04-02T18:03:02Z 2004-01-13 en_US
dc.identifier.other etd-01072004-142717 en_US
dc.description.abstract Fire behavior models require many variables including above ground biomass or fuel load. Fuel loads include the amount of woody debris, duff, and litter that can carry a fire. The collection of these data can be very time consuming and expensive. The purpose of this project was to develop a quantitative, multi-purpose strategy for mapping fuel loads. Study sites were located in the coastal plain (Alligator River National Wildlife Refuge and Dare County Bombing Range) and the mountains (Coweeta Hydrologic Laboratory) of North Carolina. The approach was based on classifying vegetation types based on categories at the association level of the International classification of Ecological Communities (ICEC), using digital stereo imagery. The vegetation classes were combined with field measurements of biomass volumes obtained from USDA Forest Service Forest Inventory and Analysis Phase 3 (FIA P3) plots. The methodology of using modified ICEC association level vegetation maps created from digital photogrammetry, disturbance history, and FIA P3 data, show promise as an approach to fuel mapping for the following reasons: (1) Softcopy photogrammetry coupled with ground truthing provides a high level of accuracy for mapping to the association level of the ICEC system. (2) Fuel loads generated from the FIA P3 plots in the field differ from fuel loads estimated by standard fire models. (3) Fuel loads within fuel size classes vary by vegetation type, and fuel size classes for some of the modified association level classifications had distinctive fuel loads. Disturbance history appears to play a significant role in explaining why fuel loads differ within associations and will help in creating more accurate fuel maps. The ultimate goal of this research would be to use all FIA P3 plot data from across the country to generate an index of fuel load by ICEC association level vegetation classification and disturbance history. This could lead to a valuable multi-purpose tool for both land managers and researchers to predict, prevent and manage forest biomass for wildfire. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject Fuels en_US
dc.subject Wildfire en_US
dc.subject Fire en_US
dc.subject Fuel Mapping en_US
dc.subject Vegetation Mapping en_US
dc.subject 3-D Mapping en_US
dc.subject Aerial Photography en_US
dc.subject Digital Photogrammertry en_US
dc.subject Forest Inverntory and Analysis Phase 3 Plots en_US
dc.subject FIA P3 en_US
dc.subject International Classification of Ecological Communi en_US
dc.subject ICEC en_US
dc.subject Alligator River National Wildlife Refuge en_US
dc.subject Coweeta en_US
dc.subject North Carolina en_US
dc.title Developing a new fuel load mapping strategy using: USDA FS Forest Inventory and Analysis (FIA) protocols, Digital Photogrammetry, International Classification of Ecological Communities and Disturbance History en_US MS en_US thesis en_US Natural Resources en_US

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