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TitleRemote sensing activities in Southern Ontario in NRCan/ESS Groundwater Geoscience Program
DownloadDownload (whole publication)
AuthorWang, S; Li, J
SourceRegional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house; by Russell, H A J; Priebe, E H; Geological Survey of Canada, Open File 8022, 2016 p. 19, https://doi.org/10.4095/297743
Year2016
PublisherNatural Resources Canada
MeetingOntario Geological Survey and Geological Survey of Canada groundwater geoscience open house; Guelph; CA; March 10, 2016
Documentopen file
Lang.English
Mediaon-line; digital
RelatedThis publication is contained in Russell, H A J; Priebe, E H; (2016). Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house, Geological Survey of Canada, Open File 8022
File formatpdf
ProvinceOntario
NTS30M/05; 40P/08NE; 30M/12; 30M/11NW; 30M/13; 30M/14; 30M/15NW; 30M/15NE; 30M/16NW; 30M/16NE; 31C/04SW; 31C/04NW; 31D/01; 31D/02; 31D/03; 31D/04; 31D/06; 40P/09SE; 40P/09NE; 40P/16SE; 40P/16NE
AreaGreater Toronto Area; Lake Ontario; Burlington; Cobourg; Oshawa; Pickering; Lake Scugog; Rice Lake; Lake Simcoe; Newmarket; Niagara Escarpment
Lat/Long WENS -80.2500 -77.5000 44.5000 43.2500
Subjectssurficial geology/geomorphology; geophysics; groundwater; groundwater geochemistry; groundwater resources; groundwater surveys; groundwater discharge; groundwater regimes; groundwater movement; groundwater levels; remote sensing; Newmarket Till; Halton Till; Oak Ridges Moraine; Quaternary
Viewing
Location
 
Natural Resources Canada Library - Ottawa (Earth Sciences)
 
ProgramAquifer Assessment & support to mapping, Groundwater Geoscience
Released2016 03 03
AbstractWater resources and their sustainability/vulnerability are determined by climate, physiography conditions of land surface and aquifers, and human activities. Satellite remote sensing can contribute to a better understanding of water resources in various ways. In this talk, three activities associated with remote sensing in the NRCan/ESS Groundwater Geoscience Program will be discussed. The first activity (1) is water cycle modelling and water budget assessment. This activity involves modelling the various water fluxes and storages in the atmosphere-vegetation-soil-aquifer system. It relies on the ESS land surface model EALCO and remote sensing products, as well as a number of other datasets for climate, soil and aquifers. Major outputs include evapotranspiration, surface runoff, snow cover, soil water, diffuse recharge and discharge of groundwater, etc. The model provides a platform to integrate the physical water processes with satellite observations, and to study water sustainability/vulnerability issues associated with climate change and human disturbances. The second activity (2) is soil moisture mapping. This activity aims at downscaling SMOS/SMAP soil moisture products (40-50km) using Radarsat-2 data to produce soil moisture map at a higher resolution (5-10km). The method includes removing the effect of vegetation using the water-cloud model and the effect of soil surface roughness using multi-temporal Radarsat-2 data. The wavelet transform is combined with the water-cloud model in soil moisture downscaling. The third activity (3) is characterising water storage variations using Radarsat-2 InSAR data and microgravity measurements. InSAR has been proven to be an efficient technique for measuring surface deformation. This activity investigates the potential of using an inversion model of surface deformation to characterise water storage variations. Field microgravity and GPS measurements over the Waterloo Moraine were also conducted to investigate the potential for using gravity signal to characterise water storage. Activity (1) aims at modelling the water cycle through integrating multiple remote sensing products that are available. Activities (2) and (3) are expected to generate new/improved water-related variables from remote sensing, which can be used in Activity (1) to further constrain the water modelling so that our understanding of the water can be improved.
GEOSCAN ID297743