Geography Dissertation On Fuels Inventory and Mapping

Title: Canopy Fuels Inventory and Mapping Using Large-Footprint Lidar

Department Of Geography

Abstract Of Thesis: This dissertation examines the use of large5 footprint, waveform-digitizing lidar data to predict and create maps of CBD and CBH as well as the use of lidar-derived products to run a fire behavior model. Lidar metrics are compared to field-based estimates of CBD and CBH and, based on the regression models resulting from these comparisons, maps of CBD and CBH are generated that are then tested as inputs into a fire behavior model. The remainder of this introductory chapter is organized as follows. 
The next sections provide 
(1) a background to fire behavior models, focusing specifically on FARSITE (Fire Area Simulator-Model); (2) a review of field- and remote-sensingbased collection of wildland fuels data; 
(3) a synopsis of the previous use of remotesensing- derived fuels data as input into fire behavior models; 
(4) a summary of the current state of the utilization of lidar to predict fuels and 
(5) an overview of the research objectives addressed in the remaining chapters.

Keywords: Geography, Remote Sensing, Environmental Sciences, lidar, canopy bulk, density, canopy base height, canopy fuels estimation, FARSITE.

You can also Subscribe to PROJECTSWORLDS by Email for more Projects, Seminar Topics and Final Year Projects.

Download