4 record(s) found with the tag "microwave data" (multi-year projects are grouped):
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Airborne SAR and passive microwave measurements over snow covered tundra for CoReH20 retrieval validation and land surface model testing
Principal Investigator: Derksen, Chris
Licensed Year(s): 2013 2012
Summary: The proposed European Space Agency Earth Explorer 7 CoReH20 satellite mission has the primary objective of retrieving snow water equivalent (SWE) over land at a high spatial resolution (200-500 metres) from X- and Ku-band Synthetic Aperture Radar measurements. This would make available high resolution, satellite derived SWE, for monitoring and modeling applications. To-date, airborne measurements ...

Assessing snowpack water equivalent distribution in the Exeter-Yamba-Daring Lake catchment, Coppermine River Basin, NWT for passive microwave algorithm development and stable isotope analysis
Principal Investigator: English, Michael C
Licensed Year(s): 2012 2010 2009 2008 2007 2006 2005 2004
Summary: The primary objectives of this research are: to improve our national snow water equivalent (SWE) monitoring capabilities by acquiring the necessary data to develop accurate satellite remotely sensed, passive microwave, estimates in the spatially expansive and persistently snow covered arctic tundra environment, and to understand and quantify the spatial and temporal contribution of snowmelt water...

Airborne passive microwave surveys of the Snare and Yellowknife basins to estimate snow water equivalent
Principal Investigator: Derksen, Chris
Licensed Year(s): 2005
Summary: Regional estimates of snow water equivalent (SWE) are useful for climate studies, calculating how much water is stored in the snowpack, and weather forecasting. These data are available from manual surface measurements, but there not very many measureme...

Estimating areal snow water equivalent of the NWT using passive microwave data
Principal Investigator: Gan, Thian Yew
Licensed Year(s): 1994 1993
Summary: The researchers will return to Cornwallis Island to collect data on snow depth in the McMaster River Basin area. This information will be used to test a computer model or algorithm that has been developed which estimates snow depths from remote sensing data. The development of an algorithm which accurately predicts snow depth from remote sensing data will assist in our knowledge about the distri...