Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
Fire Occurrence, Behavior And The Effect Of Fire On Deer Mouse Density In Oakbrush At Camp Williams National Guard Base, Utah, Joel E. Godfrey
Fire Occurrence, Behavior And The Effect Of Fire On Deer Mouse Density In Oakbrush At Camp Williams National Guard Base, Utah, Joel E. Godfrey
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Fire occurrence and behavior were determined by collecting and analyzing fuel, weather, and fire history data. Fuel plots were used to measure average fuel loading by vegetation type and integrated with weather to make worst-case fire behavior predictions. A fire history was developed using oakbrush (Quercus gambelli Nutt.) sprouts to determine age and the Global Positioning System (GPS) for mapping the burned areas. Average fuel loading was highest in the oakbrush fuel type with 16.8 t/ha, then juniper (Juniperus osteosperma Torrey) with 6.72 t/ha, and the lowest was in sagebrush (Artemisia tridentata Nutt.) with 4.93 t/ha. Fire behavior predictions were …
Classification Of Vegetation And Analysis Of Its Recent Trends At Camp Williams, Utah Using Remote Sensing And Geographic Information System Techniques, Thomas G. Van Niel
Classification Of Vegetation And Analysis Of Its Recent Trends At Camp Williams, Utah Using Remote Sensing And Geographic Information System Techniques, Thomas G. Van Niel
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Current vegetation classes were generated from remotely sensed data to provide coarse-level information for an ecosystem management plan developed at Camp Williams, Utah. Vegetation trend from 1973 - 1993 was also examined via satellite imagery. The data set consisted of Landsat Multispectral Scanner (MSS) and Thematic Mapper (TM) images from July or August of 1973, 1975, 1980, 1988, and 1993.
Two approaches were used to detect vegetation change. The first approach determined overall and cover type trend from standard digital image differencing of soil-adjusted vegetation index (SAVI) images. The second approach used an unsupervised classification of a composite SAVI image …