ESTIMATING SOIL MOISTURE PROFILES BY COMBINING P-BAND SAR WITH HYDROLOGICAL MODELING

被引：0

作者：

Fluhrer, Anke ^{[1
,2
]}

Jagdhuber, Thomas ^{[1
,2
]}

Montzka, Carsten ^{[3
]}

Schumacher, Maike ^{[4
]}

Alemohammad, Hamed ^{[5
,6
]}

Tabatabaeenejad, Alireza ^{[7
]}

Kunstmann, Harald ^{[2
,8
]}

Entekhabi, Dara ^{[9
]}

机构：

[1] German Aerosp Ctr DLR, Microwaves & Radar Inst, Muenchener Str 20, D-82234 Wessling, Germany

[2] Augsburg Univ, Inst Geog, Alter Postweg 118, D-86159 Augsburg, Germany

[3] Forschungszentrum Juelich, Inst Bio & Geosci Agrosphere IBG 3, Wilhelm Johnen Str, D-52428 Julich, Germany

[4] Aalborg Univ, Dept Planning, Geodesy Grp, Rendsburggade 14, DK-9000 Aalborg, Denmark

[5] Clark Univ, Ctr Geospatial Analyt, 950 Main St, Worcester, MA 01610 USA

[6] Clark Univ, Grad Sch Geog, 950 Main St, Worcester, MA 01610 USA

[7] Aerosp Corp, El Segundo, CA 90245 USA

[8] KIT, Inst Meteorol & Climate Res, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany

[9] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

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

D O I：

10.1109/IGARSS52108.2023.10282246

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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 R-2 of 0.92, 0.95, and 0.87.

引用

页码：2846 / 2849

页数：4

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