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Simulation of Spatial and Temporal Variability of Soil Moisture Using the Simultaneous Heat And Water (SHAW) Model: Applications to Passive Microwave Remote Sensing

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dc.contributor.advisor Berg, Aaron
dc.contributor.author Roy, Swapan
dc.date.accessioned 2014-01-10T18:39:52Z
dc.date.available 2014-01-10T18:39:52Z
dc.date.copyright 2014-01
dc.date.created 2014-01-07
dc.date.issued 2014-01-10
dc.identifier.uri http://hdl.handle.net/10214/7799
dc.description.abstract Agricultural management practices and land surface heterogeneity may impact soil moisture retrieval at the footprint scales of passive microwave remote sensing. To evaluate the potential impact of land heterogeneity, it was necessary to identify a hydrological model that could simulate soil moisture spatial variation due to differences in soil texture, land management and crop type. In this study, the SHAW model was evaluated for its capacity to accurately simulate the impact of land management technique. SHAW simulated soil moisture showed good agreement with the observed temporal variations of soil moisture data. Given this performance, SHAW was coupled to a radiative transfer model and used to assess the impact of sub-pixel heterogeneity (e.g. soil moisture, texture, land cover) on measured brightness temperature. When the spatial variability was accounted for, the error between the simulated brightness temperatures and the SMOS (Soil Moisture and Ocean Salinity) satellite observations and was improved over simulations that do not account for sub-pixel variability. These results have importance for improving the assimilation of soil moisture and downscaling passive microwave estimates of soil moisture to smaller regions. en_US
dc.language.iso en en_US
dc.subject Simultaneous Heat And Water (SHAW) Model en_US
dc.subject soil moisture en_US
dc.subject conventional tillage en_US
dc.subject no tillage en_US
dc.subject Land Parameter Retrieval Model en_US
dc.subject brightness en_US
dc.subject temperature en_US
dc.subject heterogeneity en_US
dc.title Simulation of Spatial and Temporal Variability of Soil Moisture Using the Simultaneous Heat And Water (SHAW) Model: Applications to Passive Microwave Remote Sensing en_US
dc.type Thesis en_US
dc.degree.programme Geography en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Geography en_US
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