GEOSCAN, résultats de la recherche


TitreRemote sensing activities in Southern Ontario in NRCan/ESS Groundwater Geoscience Program
TéléchargerTéléchargement (publication entière)
AuteurWang, S; Li, J
SourceRegional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house; par Russell, H A J; Priebe, E H; Commission géologique du Canada, Dossier public 8022, 2016 p. 19, (Accès ouvert)
ÉditeurRessources naturelles Canada
RéunionOntario Geological Survey and Geological Survey of Canada groundwater geoscience open house; Guelph; CA; mars 10, 2016
Documentdossier public
Mediaen ligne; numérique
Référence reliéeCette publication est contenue dans 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, Commission géologique du Canada, Dossier public 8022
SNRC30M/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
Lat/Long OENS -80.2500 -77.5000 44.5000 43.2500
Sujetseau souterraine; géochimie des eaux souterraines; ressources en eau souterraine; levés des eaux souterraines; résurgence des eaux souterraines; régimes des eaux souterraines; mouvement des eaux souterraines; niveaux des eaux souterraines; télédétection; Till de Newmarket ; Till d'Halton ; Moraine d'Oak Ridges ; géologie des dépôts meubles/géomorphologie; géophysique; Nature et environnement; Quaternaire
Bibliothèque de Ressources naturelles Canada - Ottawa (Sciences de la Terre)
ProgrammeAquifer Assessment & support to mapping, Géoscience des eaux souterraines
Diffusé2016 03 03
Résumé(disponible en anglais seulement)
Water 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.