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Soil Moisture from Satellites: Daily Maps over RSA for Flash Flood Forecasting, Drought Monitoring, Catchment Management & Agriculture
Expanded Title:One of the most difficult hydrological variables to collect and interpret is Soil Moisture. It is more spatially variable than rainfall because of the spatial variability of soil type and depth, local slope of ground and vegetation. Local estimates of Soil Moisture are valuable in the vicinity of the measurement. However to interpolate this information spatially is difficult. It was the purpose of this project to find a way to do it and share the results. For the purpose of corroboration two independent approaches were used to estimate soil moisture at the scale of a region-sized catchment (Liebenbergsvlei, 4625 km2, South Africa). The Soil Saturation Index (SSI) was derived from the physically based hydrological modelling of the catchment using the TOPKAPI model, and the Soil Wetness Index (SWI) was derived from the remotely sensed observations of the scatterometer on board the ERS satellite, and these indices were compared and found to have a good agreement. A web-site was designed to make these valuable data readily available to practitioners in Agriculture, Catchment Management Drought Monitoring and Flood Forecasting.
Date Published:01/12/2010
Document Type:Research Report
Document Subjects:Water Resource Management/IWRM - Hydrogeology
Document Keywords:Hydrology, Water Quality
Document Format:Report
Document File Type:pdf
Research Report Type:Standard
WRC Report No:1683/1/10
ISBN No:978-1-4312-0048-1
Authors:Pegram G; Sinclair S; Vischel T; Nxumalo N
Project No:K5/1683
Organizations:Pegram and Associates (Pty) Ltd
Document Size:11 456 KB
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