Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar
Alaska currently relies on the Canadian Fire Weather Index (FWI) System for the assessment of the potential for wildfire and although it provides invaluable information it is designed as a single system which does not account for the varied fuel types and drying conditions (day length, permafrost, d...
Published in: | IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium |
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Online Access: | https://digitalcommons.mtu.edu/mtri_p/206 https://doi.org/10.1109/IGARSS.2008.4779486 |
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ftmichigantuniv:oai:digitalcommons.mtu.edu:mtri_p-1161 2024-09-15T18:30:05+00:00 Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar Bourgeau-Chavez, Laura L. Riordan, Kevin Garwood, Gordon 2008-01-01T08:00:00Z https://digitalcommons.mtu.edu/mtri_p/206 https://doi.org/10.1109/IGARSS.2008.4779486 unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/mtri_p/206 doi:10.1109/IGARSS.2008.4779486 http://dx.doi.org/10.1109/IGARSS.2008.4779486 Michigan Tech Research Institute Publications fires fuel moisture remote sensing by radar synthetic aperture radar vegetation mapping Engineering Physical Sciences and Mathematics text 2008 ftmichigantuniv https://doi.org/10.1109/IGARSS.2008.4779486 2024-08-06T03:32:38Z Alaska currently relies on the Canadian Fire Weather Index (FWI) System for the assessment of the potential for wildfire and although it provides invaluable information it is designed as a single system which does not account for the varied fuel types and drying conditions (day length, permafrost, decomposition rate, and soil type) that occur across the North American boreal forest. Since 1999 research has been conducted to develop techniques for using Synthetic Aperture Radar to assess ground fuel moisture to improve the current fire danger prediction system in boreal Alaska. Research has been focused on recently burned forests using C-band satellite data. Analysis of the single channel SAR data resulted in two methods that can be used operationally, and a third time-series analysis method that is in need of further development but shows great promise in reducing the timeinvariant confounding factors of surface roughness and aboveground biomass. Current and future research is focused on L-band PALSAR to expand to unburned areas, and the recently launched fully polarimetric Radarsat-II instrument. Text permafrost Alaska Michigan Technological University: Digital Commons @ Michigan Tech IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium III - 864 III - 866 |
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Open Polar |
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Michigan Technological University: Digital Commons @ Michigan Tech |
op_collection_id |
ftmichigantuniv |
language |
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topic |
fires fuel moisture remote sensing by radar synthetic aperture radar vegetation mapping Engineering Physical Sciences and Mathematics |
spellingShingle |
fires fuel moisture remote sensing by radar synthetic aperture radar vegetation mapping Engineering Physical Sciences and Mathematics Bourgeau-Chavez, Laura L. Riordan, Kevin Garwood, Gordon Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
topic_facet |
fires fuel moisture remote sensing by radar synthetic aperture radar vegetation mapping Engineering Physical Sciences and Mathematics |
description |
Alaska currently relies on the Canadian Fire Weather Index (FWI) System for the assessment of the potential for wildfire and although it provides invaluable information it is designed as a single system which does not account for the varied fuel types and drying conditions (day length, permafrost, decomposition rate, and soil type) that occur across the North American boreal forest. Since 1999 research has been conducted to develop techniques for using Synthetic Aperture Radar to assess ground fuel moisture to improve the current fire danger prediction system in boreal Alaska. Research has been focused on recently burned forests using C-band satellite data. Analysis of the single channel SAR data resulted in two methods that can be used operationally, and a third time-series analysis method that is in need of further development but shows great promise in reducing the timeinvariant confounding factors of surface roughness and aboveground biomass. Current and future research is focused on L-band PALSAR to expand to unburned areas, and the recently launched fully polarimetric Radarsat-II instrument. |
format |
Text |
author |
Bourgeau-Chavez, Laura L. Riordan, Kevin Garwood, Gordon |
author_facet |
Bourgeau-Chavez, Laura L. Riordan, Kevin Garwood, Gordon |
author_sort |
Bourgeau-Chavez, Laura L. |
title |
Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
title_short |
Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
title_full |
Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
title_fullStr |
Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
title_full_unstemmed |
Monitoring fuel moisture and improving the prediction of wildfire potential in boreal Alaska with satellite C-band imaging radar |
title_sort |
monitoring fuel moisture and improving the prediction of wildfire potential in boreal alaska with satellite c-band imaging radar |
publisher |
Digital Commons @ Michigan Tech |
publishDate |
2008 |
url |
https://digitalcommons.mtu.edu/mtri_p/206 https://doi.org/10.1109/IGARSS.2008.4779486 |
genre |
permafrost Alaska |
genre_facet |
permafrost Alaska |
op_source |
Michigan Tech Research Institute Publications |
op_relation |
https://digitalcommons.mtu.edu/mtri_p/206 doi:10.1109/IGARSS.2008.4779486 http://dx.doi.org/10.1109/IGARSS.2008.4779486 |
op_doi |
https://doi.org/10.1109/IGARSS.2008.4779486 |
container_title |
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
III - 864 |
op_container_end_page |
III - 866 |
_version_ |
1810471568040525824 |