Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations

N. Ye, J. P. Walker, R. Bindlish, J. Chaubell, N. N. Das, A. I. Gevaert, T. J. Jackson, C. Rüdiger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The Soil Moisture Active and Passive (SMAP) mission, launched by the National Aeronautics and Space Administration (NASA) on 31st January 2015, was designed to provide global soil moisture every 2 to 3 days at 9 km resolution by downscaling SMAP passive microwave observations obtained at 36 km resolution using active microwave observations at 3 km resolution, and then retrieving soil moisture from the resulting 9 km brightness temperature product. This study evaluated the SMAP Active/Passive (AP) downscaling algorithm together with other resolution enhancement techniques. Airborne passive microwave observations acquired at 1 km resolution over the Murrumbidgee River catchment in south-eastern Australia during the fourth and fifth Soil Moisture Active Passive Experiments (SMAPEx-4/5) were used as reference data. The SMAPEx-4/5 data were collected in May and September 2015, respectively, and aggregated to 9 km for direct comparison with a number of available resolution-enhanced brightness temperature estimates. The results show that the SMAP AP downscaled brightness temperature had a correlation coefficient (R) of 0.84 and Root-Mean-Squared Error (RMSE) of ~10 K, while SMAP Enhanced, Nearest Neighbour, Weighted Average, and the Smoothing Filter-based Modulation (SFIM) brightness temperature estimates had somewhat better performance (RMSEs of ~7 K and an R exceeding 0.9). Although the SFIM had the lowest unbiased RMSE of ~6 K, the effect of cloud cover on Ka-band observations limits data availability.

Original languageEnglish
Pages (from-to)363-372
Number of pages10
JournalRemote Sensing of Environment
Volume221
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • Downscaled brightness temperature
  • Field experiment
  • SMAP
  • Validation

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