Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling

Anke Fluhrer; Thomas Jagdhuber; Carsten Montzka; Maike Schumacher; Hamed Alemohammad; Alireza Tabatabaeenejad; Harald Kunstmann; Dara Entekhabi

doi:10.1109/IGARSS52108.2023.10282246

Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling

Anke Fluhrer^*, Thomas Jagdhuber, Carsten Montzka, Maike Schumacher, Hamed Alemohammad, Alireza Tabatabaeenejad, Harald Kunstmann, Dara Entekhabi

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

A joint approach for estimating vertically continuous soil moisture profiles by combining P-band SAR polarimetry with soil hydrological modeling is proposed. The approach compares the decomposed soil scattering component from remotely sensed P-band SAR observations of NASA's Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission with an ensemble of simulated counterparts based on the hydrological model HYDRUS-1D and the soil scattering model multi-layer small perturbation method (SPM). From the best fit between remote sensing and soil modeling, the most probable soil moisture profile can be retrieved. Estimated soil moisture profiles at individual monitoring stations across the U.S. are compared to in situ measurements, as well as the European ReAnalysis (ERA5) land and AirMOSS L4 products. Pearson's coefficient of determination between estimated and auxiliary products prove the overall feasibility of the proposed method with respective R² of 0.92, 0.95, and 0.87.

Originalsprog	Engelsk
Titel	IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Antal sider	4
Forlag	IEEE
Publikationsdato	20 okt. 2023
Sider	2846-2849
ISBN (Trykt)	979-8-3503-2009-1, 979-8-3503-3174-5
ISBN (Elektronisk)	979-8-3503-2010-7
DOI	https://doi.org/10.1109/IGARSS52108.2023.10282246
Status	Udgivet - 20 okt. 2023
Begivenhed	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, USA Varighed: 16 jul. 2023 → 21 jul. 2023

Konference

Konference	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Land/Område	USA
By	Pasadena
Periode	16/07/2023 → 21/07/2023
Sponsor	The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS)

Navn	IEEE International Geoscience and Remote Sensing Symposium IGARSS
ISSN	2153-7003

Bibliografisk note

Publisher Copyright:
© 2023 IEEE.

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10.1109/IGARSS52108.2023.10282246

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Citationsformater

Fluhrer, A., Jagdhuber, T., Montzka, C., Schumacher, M., Alemohammad, H., Tabatabaeenejad, A., Kunstmann, H., & Entekhabi, D. (2023). Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling. I IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (s. 2846-2849). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282246

@inproceedings{e3f11c0c84d54b9996ac9ba0271f4ffb,

title = "Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling",

abstract = "A joint approach for estimating vertically continuous soil moisture profiles by combining P-band SAR polarimetry with soil hydrological modeling is proposed. The approach compares the decomposed soil scattering component from remotely sensed P-band SAR observations of NASA's Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission with an ensemble of simulated counterparts based on the hydrological model HYDRUS-1D and the soil scattering model multi-layer small perturbation method (SPM). From the best fit between remote sensing and soil modeling, the most probable soil moisture profile can be retrieved. Estimated soil moisture profiles at individual monitoring stations across the U.S. are compared to in situ measurements, as well as the European ReAnalysis (ERA5) land and AirMOSS L4 products. Pearson's coefficient of determination between estimated and auxiliary products prove the overall feasibility of the proposed method with respective R2 of 0.92, 0.95, and 0.87.",

keywords = "AirMOSS, HYDRUS-1D, multi-layer SPM, polarimetry, SAR, soil moisture profile",

author = "Anke Fluhrer and Thomas Jagdhuber and Carsten Montzka and Maike Schumacher and Hamed Alemohammad and Alireza Tabatabaeenejad and Harald Kunstmann and Dara Entekhabi",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

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doi = "10.1109/IGARSS52108.2023.10282246",

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isbn = "979-8-3503-2009-1",

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

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Fluhrer, A, Jagdhuber, T, Montzka, C, Schumacher, M, Alemohammad, H, Tabatabaeenejad, A, Kunstmann, H & Entekhabi, D 2023, Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling. i IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, IEEE International Geoscience and Remote Sensing Symposium IGARSS, s. 2846-2849, 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, USA, 16/07/2023. https://doi.org/10.1109/IGARSS52108.2023.10282246

Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling. / Fluhrer, Anke; Jagdhuber, Thomas; Montzka, Carsten et al.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, 2023. s. 2846-2849 (IEEE International Geoscience and Remote Sensing Symposium IGARSS).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling

AU - Fluhrer, Anke

AU - Jagdhuber, Thomas

AU - Montzka, Carsten

AU - Schumacher, Maike

AU - Alemohammad, Hamed

AU - Tabatabaeenejad, Alireza

AU - Kunstmann, Harald

AU - Entekhabi, Dara

PY - 2023/10/20

Y1 - 2023/10/20

N2 - A joint approach for estimating vertically continuous soil moisture profiles by combining P-band SAR polarimetry with soil hydrological modeling is proposed. The approach compares the decomposed soil scattering component from remotely sensed P-band SAR observations of NASA's Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission with an ensemble of simulated counterparts based on the hydrological model HYDRUS-1D and the soil scattering model multi-layer small perturbation method (SPM). From the best fit between remote sensing and soil modeling, the most probable soil moisture profile can be retrieved. Estimated soil moisture profiles at individual monitoring stations across the U.S. are compared to in situ measurements, as well as the European ReAnalysis (ERA5) land and AirMOSS L4 products. Pearson's coefficient of determination between estimated and auxiliary products prove the overall feasibility of the proposed method with respective R2 of 0.92, 0.95, and 0.87.

AB - A joint approach for estimating vertically continuous soil moisture profiles by combining P-band SAR polarimetry with soil hydrological modeling is proposed. The approach compares the decomposed soil scattering component from remotely sensed P-band SAR observations of NASA's Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission with an ensemble of simulated counterparts based on the hydrological model HYDRUS-1D and the soil scattering model multi-layer small perturbation method (SPM). From the best fit between remote sensing and soil modeling, the most probable soil moisture profile can be retrieved. Estimated soil moisture profiles at individual monitoring stations across the U.S. are compared to in situ measurements, as well as the European ReAnalysis (ERA5) land and AirMOSS L4 products. Pearson's coefficient of determination between estimated and auxiliary products prove the overall feasibility of the proposed method with respective R2 of 0.92, 0.95, and 0.87.

KW - AirMOSS

KW - HYDRUS-1D

KW - multi-layer SPM

KW - polarimetry

KW - SAR

KW - soil moisture profile

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U2 - 10.1109/IGARSS52108.2023.10282246

DO - 10.1109/IGARSS52108.2023.10282246

M3 - Article in proceeding

AN - SCOPUS:85178355324

SN - 979-8-3503-2009-1

SN - 979-8-3503-3174-5

T3 - IEEE International Geoscience and Remote Sensing Symposium IGARSS

SP - 2846

EP - 2849

BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - IEEE

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

Y2 - 16 July 2023 through 21 July 2023

ER -

Fluhrer A, Jagdhuber T, Montzka C, Schumacher M, Alemohammad H, Tabatabaeenejad A et al. Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling. I IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE. 2023. s. 2846-2849. (IEEE International Geoscience and Remote Sensing Symposium IGARSS). doi: 10.1109/IGARSS52108.2023.10282246

Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling

Abstract

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