Moller, JJovanovic, NebojsaGarcia, CLBugan, Richard DHMazvimavi, D2017-09-192017-09-192017-09Moller, J., Jovanovic, N., Garcia, C.L. et al. 2017. Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa. South African Journal of Plant and Soil: DOI: 10.1080/02571862.2017.13189620257-1862DOI: 10.1080/02571862.2017.1318962http://www.tandfonline.com/doi/abs/10.1080/02571862.2017.1318962http://hdl.handle.net/10204/9572Copyright: 2017 Southern African Plant & Soil Sciences Committee. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website.Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (12.5 km and downscaled to 1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360–820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale).enMalmesburySoil water contentAdvanced ScatterometerASCATRemote sensingRiebeekSurface temperatureArticleMoller, J., Jovanovic, N., Garcia, C., Bugan, R. D., & Mazvimavi, D. (2017). Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa. http://hdl.handle.net/10204/9572Moller, J, Nebojsa Jovanovic, CL Garcia, Richard DH Bugan, and D Mazvimavi "Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa." (2017) http://hdl.handle.net/10204/9572Moller J, Jovanovic N, Garcia C, Bugan RD, Mazvimavi D. Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa. 2017; http://hdl.handle.net/10204/9572.TY - Article AU - Moller, J AU - Jovanovic, Nebojsa AU - Garcia, CL AU - Bugan, Richard DH AU - Mazvimavi, D AB - Satellite-based remote sensing of soil water content (SWC) is a promising technology for hydrological applications to overcome large spatiotemporal variabilities of SWC. This study investigated the performance of the Advanced Scatterometer (ASCAT) soil moisture product on METOP satellite (12.5 km and downscaled to 1 km resolution), against ground measurements of SWC taken with a Hydrosense II probe along transects of 360–820 m on agricultural and natural land at locations in the Western Cape. The ASCAT products estimated fairly accurately seasonal trends of SWC; performance was better on lower slopes (R2 = 0.66) and uniform vegetation. ASCAT 12.5 km performed better in estimating SWC than the downscaled product (average concordance coefficient = 0.60 and 0.39, and R2 = 0.84 and 0.74, respectively). ASCAT 12.5 km was more responsive to rainfall events, whilst the downscaled product was more sensitive to vegetation characteristics (normalised difference vegetation index and land surface temperature). In situations with ground measurement networks and data availability constraints, remote sensing could be a feasible alternative to monitor SWC for hydrological applications at the meso-scale (regional scale). DA - 2017-09 DB - ResearchSpace DP - CSIR KW - Malmesbury KW - Soil water content KW - Advanced Scatterometer KW - ASCAT KW - Remote sensing KW - Riebeek KW - Surface temperature LK - https://researchspace.csir.co.za PY - 2017 SM - 0257-1862 T1 - Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa TI - Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa UR - http://hdl.handle.net/10204/9572 ER -