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TitleSatellite base EO data for climate change and ecosystem studies
AuthorLatifovic, R
SourceSustaining Arctic observing networks, poster abstracts; 2008, 1 pages
LinksOnline - En ligne
Alt SeriesEarth Sciences Sector, Contribution Series 20080094
MeetingSecond International Polar Year Workshop on Sustaining Arctic Observing Networks (SAON); Edmonton; CA; April 9-11, 2008
Mediadigital; on-line
AreaHigh Arctic
Subjectsenvironmental geology; surficial geology/geomorphology; geophysics; Nature and Environment; arctic geology; climate effects; climate; satellite imagery; remote sensing; ecosystems; Climate change
Released2008 01 01
AbstractLong-term observations sustained over decades are a critical first-step in providing the climate data necessary for scientists, decision makers and stakeholders to make adaptive choices that could improve resilience to climate change and vulnerability, as well as maintain economic vitality. In response to this recognized need Natural Resources Canada in the framework of the Earth Sciences Sectors Programs has established comprehensive satellite data record from low and medium resolution optical and IR sensors including AVHRR (1985-2007), SPOT/VGT 1&2 (1998-2004), MODIS (2000-2005) and recently MERIS.

This presentation we will show some of the results of our research on landscape response to climate change, were in-situ measurements and AVHRR satellite data archive developed at the Canada Center for Remote Sensing was used to study variability and trend in lake ice phenology and vegetation productivity. Results show the most significant effect has occurred in the North-West of Canada. Further research will explore these trends in more detail and at higher temporal resolutions. The new long-term surface reflectance and temperature data record at 1-km spatial resolution derived from NOAA/AVHRR sensors with 10 day and single day temporal resolution are unique source of information. It has potential to improve the current understanding of climate change response over Canadian landmass. New data might help in examining trends and variability of the ice-on/ice off dates for lakes of various sizes, and also for the improvement of numerical lake ice models.

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