| Title | Satellite base EO data for climate change and ecosystem studies |
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| Author | Latifovic, R |
| Source | Sustaining Arctic observing networks, poster abstracts; 2008, 1 pages |
| Links | Online - En ligne
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| Year | 2008 |
| Alt Series | Earth Sciences Sector, Contribution Series 20080094 |
| Meeting | Second International Polar Year Workshop on Sustaining Arctic Observing Networks (SAON); Edmonton; CA; April 9-11, 2008 |
| Document | book |
| Lang. | English |
| Media | digital; on-line |
| Province | Nunavut |
| Area | High Arctic |
| Subjects | environmental geology; surficial geology/geomorphology; geophysics; Nature and Environment; arctic geology; climate effects; climate; satellite imagery; remote sensing; ecosystems; Climate
change |
| Released | 2008 01 01 |
| Abstract | Long-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. |
| GEOSCAN ID | 225158 |
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