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Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations
- Source :
- IGARSS
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Soil Moisture is an important geophysical variable that needs reliable quantification for applications in hydrology, meteorology and agriculture. L-band radiometry has proved to be one of the best methods in soil moisture estimation using microwave signals. However, they provide measurements that correspond to a shallow depth of 5 cm and are also affected by the presence of overlaying vegetation and roughness. In contrast, P-band radiometry is expected to provide moisture information on a deeper layer of soil. Moreover, these lower frequency measurements are expected to be less affected by soil roughness and vegetation contributions. Consequently, this pilot study uses the Polarimetric P-band Multibeam Radiometer (PPMR) at 740 MHz to evaluate the response of the P-band radiometer over a realistic range of surface conditions at the field scale. A preliminary framework of P-band Microwave Emission of the Biosphere (P-MEB) has been developed as a forward model that simulates brightness temperature from soil moisture and other ancillary data collected from the field. This paper presents the model for the bare soil condition observed during June 2018 to August 2018. The results show that H-polarised PPMR data has better correlation to the soil moisture over a depth of 10 cm than the V-polarized PPMR data. A model is under improvement by incorporating a more suitable effective temperature formulation.
- Subjects :
- Radiometer
010504 meteorology & atmospheric sciences
Moisture
0211 other engineering and technologies
Biosphere
02 engineering and technology
Vegetation
15. Life on land
01 natural sciences
Temperature measurement
Brightness temperature
Environmental science
Radiometry
Water content
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi...........f12c87d2782f394831f5e311260d0dd3