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Forward Simulation of Multi-Frequency Microwave Brightness Temperature over Desert Soils in Kuwait and Comparison with Satellite Observations
- Source :
- Remote Sensing, Vol 11, Iss 14, p 1647 (2019), Remote Sensing, Volume 11, Issue 14
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- In this study, we address the variations of bare soil surface microwave brightness temperatures and evaluate the performance of a dielectric mixing model over the desert of Kuwait. We use data collected in a field survey and data obtained from NASA Soil Moisture Active Passive (SMAP), European Space Agency Soil Moisture and Ocean Salinity (SMOS), Advanced Microwave Scanning Radiometer 2 (AMSR2), and Special Sensor Microwave/Imager (SSM/I). In situ measurements are collected during two intensive field campaigns over bare, flat, and homogeneous soil terrains in the desert of Kuwait. Despite the prevailing dry desert environment, a large range of soil moisture values was monitored, due to precedent rain events and subsequent dry down. The mean relative difference (MRD) is within the range of &plusmn<br />0.005 m3&middot<br />m&minus<br />3 during the two sampling days. This reflects consistency of soil moisture in space and time. As predicted by the model, the higher frequency channels (18 to 19 GHz) demonstrate reduced sensitivity to surface soil moisture even in the absence of vegetation, topography and heterogeneity. In the 6.9 to 10.7 GHz range, only the horizontal polarization is sensitive to surface soil moisture. Instead, at the frequency of 1.4 GHz, both polarizations are sensitive to soil moisture and span a large dynamic range as predicted by the model. The error statistics of the difference between observed satellite brightness temperature (Tb) (excluding SMOS data due to radio frequency interference, RFI) and simulated brightness temperatures (Tbs) show values of Root Mean Square Deviation (RMSD) of 5.05 K at vertical polarization and 4.88 K at horizontal polarization. Such error could be due to the performance of the dielectric mixing model, soil moisture sampling depth and the impact of parametrization of effective temperature and roughness.
- Subjects :
- Brightness
Radiometer
volumetric soil moisture (VSM), soil roughness
010504 meteorology & atmospheric sciences
Science
0211 other engineering and technologies
02 engineering and technology
Atmospheric sciences
01 natural sciences
dielectric mixing model
Brightness temperature
Soil water
General Earth and Planetary Sciences
Environmental science
Satellite
field campaign
Water content
Root-mean-square deviation
Microwave
satellite microwave brightness temperature
desert
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 11
- Issue :
- 14
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....bbf20a4c789e5c8bc7c7a1d61366fee2