Stephen R. Yool

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To facilitate the identification of appropriate post-fire watershed treatments and minimize erosion effects after socioeconomically important fires, Interagency Burned Area Emergency Rehabilitation (BAER) teams produce initial timely estimates of the fire perimeter and classifications of burn severity, forest mortality, and vegetation mortality. Accurate,(More)
Geospatial information technology is changing the nature of fire mapping science and management. Geographic information systems (GIS) and global positioning system technology coupled with remotely sensed data provide powerful tools for mapping, assessing, and understanding the complex spatial phenomena of wildland fuels and fire hazard. The effectiveness of(More)
Fire scars are used widely to reconstruct historical fire regime parameters in forests around the world. Because fire scars provide incomplete records of past fire occurrence at discrete points in space, inferences must be made to reconstruct fire frequency and extent across landscapes using spatial networks of fire-scar samples. Assessing the relative(More)
BACKGROUND Interruption of vector-borne transmission of Trypanosoma cruzi remains an unrealized objective in many Latin American countries. The task of vector control is complicated by the emergence of vector insects in urban areas. METHODS Utilizing data from a large-scale vector control program in Arequipa, Peru, we explored the spatial patterns of(More)
The 11 major land cover classes in Arizona, mapped on the facing page, are comprised of between one (e.g., Aspen, Ponderosa Pine) and 23 (e.g., Shrubland) of 77 vegetation subclasses. For each class, we used a geographic information system to identify the dominant subclasses (by total area) within each major land cover class: Aspen is dominated by Rocky(More)
Mapping the expansion of impervious surfaces in urbanizing areas is important for monitoring and understanding the hydrologic impacts of land development. The most common approach using spectral vegetation indices, however, is difficult in arid and semiarid environments where vegetation is sparse and often senescent. In this study object-oriented(More)
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