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Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations

Authors :
Jeffrey P. Walker
Edward J. Kim
Nithyapriya Boopathi
In-Young Yeo
Xiaoling Wu
Xiaoji Shen
Thomas J. Jackson
Yann Kerr
Y. S. Rao
Andrew McGrath
Nan Ye
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.

Details

Database :
OpenAIRE
Journal :
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Accession number :
edsair.doi...........f12c87d2782f394831f5e311260d0dd3