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

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

doi:10.1109/IGARSS39084.2020.9323793

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	Proceedings
Place of Publication	United States
Publisher	Institute of Electrical and Electronics Engineers
Pages	4446-4449
Number of pages	4
ISBN (Electronic)	978-1-7281-6374-1, 978-1-7281-6373-4
ISBN (Print)	978-1-7281-6375-8
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9323793
Publication status	Published - 17 Feb 2021
Externally published	Yes
Event	2020 IEEE International Geoscience and Remote Sensing Symposium - Virtual, Waikoloa, United States Duration: 26 Sept 2020 → 2 Oct 2020

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers
Volume	2020
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	26/09/20 → 2/10/20

Keywords

Ground-based Radiometer
P-band
Soil Moisture

Access to Document

10.1109/IGARSS39084.2020.9323793Licence: In Copyright

Cite this

Boopathi, N., Ye, N., Wu, X., Walker, J., Shen, X., Rao, Y. S., Jackson, T., Kerr, Y., Kim, E., McGrath, A., & Yeo, I.-Y. (2021). Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 4446-4449). (IEEE International Geoscience and Remote Sensing Symposium; Vol. 2020). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS39084.2020.9323793

Boopathi, Nithyapriya ; Ye, Nan ; Wu, Xiaoling et al. / Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. United States : Institute of Electrical and Electronics Engineers, 2021. pp. 4446-4449 (IEEE International Geoscience and Remote Sensing Symposium).

@inproceedings{952579bf01524fadae7070ba53ad7cd5,

title = "Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations",

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.",

keywords = "Ground-based Radiometer, P-band, Soil Moisture",

author = "Nithyapriya Boopathi and Nan Ye and Xiaoling Wu and Jeffrey Walker and Xiaoji Shen and Rao, {Y. S.} and Thomas Jackson and Yann Kerr and Edward Kim and Andrew McGrath and In-Young Yeo",

year = "2021",

month = feb,

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doi = "10.1109/IGARSS39084.2020.9323793",

language = "English",

isbn = "978-1-7281-6375-8",

series = "IEEE International Geoscience and Remote Sensing Symposium",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "4446--4449",

booktitle = "IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium",

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note = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",

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Boopathi, N, Ye, N, Wu, X, Walker, J, Shen, X, Rao, YS, Jackson, T, Kerr, Y, Kim, E, McGrath, A & Yeo, I-Y 2021, Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations. in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. IEEE International Geoscience and Remote Sensing Symposium, vol. 2020, Institute of Electrical and Electronics Engineers, United States, pp. 4446-4449, 2020 IEEE International Geoscience and Remote Sensing Symposium, Virtual, Waikoloa, United States, 26/09/20. https://doi.org/10.1109/IGARSS39084.2020.9323793

Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations. / Boopathi, Nithyapriya; Ye, Nan; Wu, Xiaoling et al.
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. United States: Institute of Electrical and Electronics Engineers, 2021. p. 4446-4449 (IEEE International Geoscience and Remote Sensing Symposium; Vol. 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations

AU - Boopathi, Nithyapriya

AU - Ye, Nan

AU - Wu, Xiaoling

AU - Walker, Jeffrey

AU - Shen, Xiaoji

AU - Rao, Y. S.

AU - Jackson, Thomas

AU - Kerr, Yann

AU - Kim, Edward

AU - McGrath, Andrew

AU - Yeo, In-Young

PY - 2021/2/17

Y1 - 2021/2/17

N2 - 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.

AB - 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.

KW - Ground-based Radiometer

KW - P-band

KW - Soil Moisture

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T3 - IEEE International Geoscience and Remote Sensing Symposium

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BT - IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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ER -

Boopathi N, Ye N, Wu X, Walker J, Shen X, Rao YS et al. Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. United States: Institute of Electrical and Electronics Engineers. 2021. p. 4446-4449. (IEEE International Geoscience and Remote Sensing Symposium). doi: 10.1109/IGARSS39084.2020.9323793

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

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Keywords

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