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

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Number of pages	4
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	20 Oct 2023
Pages	2846-2849
ISBN (Print)	979-8-3503-2009-1, 979-8-3503-3174-5
ISBN (Electronic)	979-8-3503-2010-7
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10282246
Publication status	Published - 20 Oct 2023
Event	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023

Conference

Conference	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Country/Territory	United States
City	Pasadena
Period	16/07/2023 → 21/07/2023
Sponsor	The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS)

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

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

AirMOSS
HYDRUS-1D
multi-layer SPM
polarimetry
SAR
soil moisture profile

Access to Document

10.1109/IGARSS52108.2023.10282246

Accepted author manuscriptAccepted author manuscript, 307 KB

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

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. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 2846-2849). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS52108.2023.10282246

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

@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",

month = oct,

day = "20",

doi = "10.1109/IGARSS52108.2023.10282246",

language = "English",

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

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

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

pages = "2846--2849",

booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

address = "United States",

}

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. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE (Institute of Electrical and Electronics Engineers), IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 2846-2849, 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, United States, 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 (Institute of Electrical and Electronics Engineers), 2023. p. 2846-2849 (IEEE International Geoscience and Remote Sensing Symposium IGARSS).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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

UR - http://www.scopus.com/inward/record.url?scp=85178355324&partnerID=8YFLogxK

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 (Institute of Electrical and Electronics Engineers)

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. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE (Institute of Electrical and Electronics Engineers). 2023. p. 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

Conference

Bibliographical note

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Cite this