GENERAL ENQUIRIES: Tel: + 27 12 841 2911 | Email: callcentre@csir.co.za

Show simple item record

dc.contributor.author Moller, J
dc.contributor.author Jovanovic, Nebojsa
dc.contributor.author Garcia, CL
dc.contributor.author Bugan, Richard DH
dc.contributor.author Mazvimavi, D
dc.date.accessioned 2017-09-19T08:25:04Z
dc.date.available 2017-09-19T08:25:04Z
dc.date.issued 2017-09
dc.identifier.citation Moller, 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: 10.1080/02571862.2017.1318962 en_US
dc.identifier.issn 0257-1862
dc.identifier.uri DOI: 10.1080/02571862.2017.1318962
dc.identifier.uri http://www.tandfonline.com/doi/abs/10.1080/02571862.2017.1318962
dc.identifier.uri http://hdl.handle.net/10204/9572
dc.description Copyright: 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. en_US
dc.description.abstract 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). en_US
dc.language.iso en en_US
dc.publisher National Inquiry Services Centre (NCIS) en_US
dc.relation.ispartofseries Worklist;19512
dc.subject Malmesbury en_US
dc.subject Soil water content en_US
dc.subject Advanced Scatterometer en_US
dc.subject ASCAT en_US
dc.subject Remote sensing en_US
dc.subject Riebeek en_US
dc.subject Surface temperature en_US
dc.title Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ResearchSpace


Advanced Search

Browse

My Account