AMSR2 Snow Mapping Project
As the PI for JAXA’s standard snow depth and snow accumulation product from the Advanced Microwave Scanning Radiometer – 2 (AMSR2) aboard the GCOM-W1 mission, we are involved with estimating snow water equivalent (SWE) from satellite passive microwave observations at the regional to global scale. This work build out from NASA research I conducted.
Radar remote sensing
Ku- and X-Band scatterometer observations of snow. This research is science discovery exploring seasonal radar signatures of snow cover accumulation for potential space-based snow mapping missions designed for unprecedented spatial resolution observations. The project has deployed the system in Churchill Manitoba during the 2009-2010 and 2010-2011 winter seasons. in 2013-14 and 2014-15 winters, deployments were conducted in S. Ontario. The equipment for this project forms part of our Cryospheric Remote Sensing Laboratory which was funded under CFI (with Claude Duguay).
Radarsat-2 observations of soil moisture and soil state. Our studies are also concerned with Radarsat-2 C-band observations of soil moisture, specially using polarimetric observations and estimates of derivative variables from the compact polarimetric simulator as applied to Radarsat-2. The study has focused on sites in S. Ontario.
This project explores the application of web-based digital technologies to map snow depth through community participation. In other words, we have set up an environment to enable people to ‘tweet’ snow depth measurements which we map. Costly snow depth information from environmental agencies has been declining for many years and one way to augment this information is through community involvement in measuring meteorological and hydrological variables. This project aims to do so in a simple way through using widely used web-based services to communicate local measurements of snow depth to our web server. Using the Twitter system, we are able to map ‘tweeted’ variables in almost near real time.
If you want to participate, please follow the link to the Snowtweets.org web pages.
This project is concerned with the application of remote sensing observations of glacier lake outburst floods (GLOFS) in high mountain regions (e.g. Karakoram) and their drainage through time. The work leverages moderate to high resolution satellite-based observations of lake extent, satellite-derived DEM data and numerical modells to predict flow volumes and peak flows from these dynamic environments.