Skip To Content

TitlePredicting slow drying Fire weather Index moisture codes with NOAA-AVHRR images in Canada's northern boreal forests
Publication TypeThesis
Year of Publication2004
AuthorsOldford, S. P.
VolumeForestry
IssueM. Sc. F.
Pagination141
Place PublishedUniversity of New Brunswick
Publication Languageen
Abstract

Fire danger predicted by the Fire Weather Index, derived from point-source weather records, is limited spatially. NOAA-AVHRR images were used to model the Duff Moisture Code and Drought Code of the Fire Weather Index in boreal forests of a 250,000 km2 portion of northern Alberta and the southern Northwest Territories, Canada. Temporal and spatial factors affecting slow changing fuel moisture codes (Duff Moisture Code and Drought Code) and spectral variables (normalized difference vegetation index, surface temperature, relative greenness and the ratio between normalized difference vegetation index and surface temperature) were identified. Models were developed on a yearly and seasonal basis. They were strongest in spring, but had a tendency to saturate. Drought Code was best modeled in the spring of 1995 when categorized spatially by broad forest cover types. Mapping Drought Code with this spectral model improved spatial resolution. Limitations and possible improvements of the study are also discussed.

URLhttp://search.proquest.com/docview/305077688
Topics

Forestry

Locational Keywords

north east Alberta

Active Link

http://www.worldcat.org/oclc/270479417

Group

Science

Citation Key45575

Enter keywords or search terms and press Search

Search this site


Subscribe to the site

Syndicate content

Bookmark and Share