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| NGWD unique ID | ca.gc.nrcan.gwp.wmslayerref.26468 |
| Layer name | LAI_Calgary30m |
| Layer title | Remote sensing in support of groundwater monitoring: Leaf Area Index Map (LAI) of Calgary, Alberta, Canada 2004 at 30m resolution |
| Source | Project J05 : Remote sens... |
| Map |  |
| Remote sensing in support of groundwater monitoring and vulnerability assessment | Research on the interactive effects of climate change and land use change on groundwater and improved information for groundwater modelling are two major gaps in our ability to protect current and future groundwater supplies. This project links both historical and current surface and climate process to groundwater dynamics over key regional aquifers. Guidelines for remote sensing-based survey of aquifer surface properties are being developed and provided to provincial agencies resulting in an enhancement of their ability to monitor and manage current groundwater resources. The project is currently targeting the Oak Ridges Moraine, near Toronto, Canada and the Annapolis Valley Aquifer, in Nova Scotia , Canada. The former site supplies drinking water to a region with the largest population density in Canada. The major question here is to quantify the impact of land development of the sustainability of the aquifer. The second site corresponds to a predominantly rural area experiencing climate related water shortages. This site is subject of a joint climate change impacts study between all levels of government, universities and local groups. The major question here is to quantify the impact of historical and projected climate variability on water availability from the aquifer. Through working with partners at these sites, this project will develop best practice guidelines for remote sensing applications to groundwater assessments. Field survey will be supported by land cover/land use data. Thermal high resolution remote sensing imagery during spring melt will be used to identify sinks and drains. Radarsat 1/2 and Landsat/ASTER imagery will be used with field surveys to map surficial properties. An ESS hydrological model will be used to estimate spatial patterns of net recharge. Point estimates of evapotranspiration and recharge will be modelled at meteorological stations. Unsaturated zone lateral flow and vertical transmissivity will be calibrated using well and piezometer data. Discharge and well depths will be simulated for -20 to +5 years based on historical and projected climate. Discharge hindcasts will be validated. |
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