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Type: Journal Article
Author(s): Victoria Wan; W. John Braun; Charmaine B. Dean; Sarah B. Henderson
Publication Date: 2011

Obtaining accurate measures of exposure to forest fire smoke is important for the assessment of health risk. Estimating exposure from air quality monitors is challenging because of the sparseness of the monitoring networks in remote areas. However, satellite imagery offers a novel and data-rich tool to provide visual information on smoke plumes. We will discuss statistical techniques for obtaining estimates of forest fire smoke plumes using classification algorithms on data from satellite imagery in order to develop automated processes for identifying exposure. The aim is to identify whether such methods may offer a high-resolution approach that provides a reliable estimate of smoke and a more thorough caption of the spatial distribution of smoke from fires than is currently available.

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Citation: Wan, Victoria; Braun, W. John; Dean, Charmaine D.; Henderson, Sarah B. 2011. A comparison of classification algorithms for the identification of smoke plumes from satellite images. Statistical Methods in Medical Research 20(2):131-156.

Cataloging Information

Topics:
Regions:
Keywords:
  • algorithms
  • British Columbia
  • Canada
  • satellite data
  • satellite imagery
  • smoke exposure
  • smoke plume
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 58170