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RESEARCH PRODUCT
Comparison of downscaling techniques for high resolution soil moisture mapping
Gerard PortalMahta MoghaddamNarendra N. DasThomas J. JacksonOlivier MerlinSabah SabaghyNan YeXiaoling WuSimon YuehJeffrey R. PiepmeierMaria PilesDara EntekhabiJinzheng PengLuigi J. RenzulloRuzbeh AkbarSteven ChanChristoph RudigerJulian ChaubellR. Scott DunbarVivien StefanAnouk GevaertJeffrey P. Walkersubject
L bandRadiometer010504 meteorology & atmospheric sciences0211 other engineering and technologiesdownscalingFOS: Physical sciencesPhysics - Applied PhysicsApplied Physics (physics.app-ph)02 engineering and technology01 natural scienceslaw.inventionAtmosphereMicrowave imaging13. Climate actionlawcomparisonEnvironmental scienceRadarsoil moistureScale (map)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesDownscalingRemote sensingdescription
Soil moisture impacts exchanges of water, energy and carbon fluxes between the land surface and the atmosphere. Passive microwave remote sensing at L-band can capture spatial and temporal patterns of soil moisture in the landscape. Both ESA and NASA have launched L-band radiometers, in the form of the SMOS and SMAP satellites respectively, to monitor soil moisture globally, every 3-day at about 40 km resolution. However, their coarse scale restricts the range of applications. While SMAP included an L-band radar to downscale the radiometer soil moisture to 9 km, the radar failed after 3 months and this initial approach is not applicable to developing a consistent long term soil moisture product across the two missions anymore. Existing optical-, radiometer-, and oversampling-based downscaling methods could be an alternative to the radar-based approach for delivering such data. Nevertheless, retrieval of a consistent high resolution soil moisture product remains a challenge, and there has been no comprehensive intercomparison of the alternate approaches. This research undertakes an assessment of the different downscaling approaches using the SMAPEx-4 field campaign data.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-12-04 |