GSTDTAP  > 资源环境科学
DOI10.1029/2018WR023337
Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network
Fersch, B.1; Jagdhuber, T.2; Schroen, M.3; Voelksch, I1; Jaeger, M.2
2018-11-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:11页码:9364-9383
文章类型Article
语种英语
国家Germany
英文摘要

The consistent determination of soil moisture across scales is a persistent challenge in hydrology. Several measurement methods exist at distinct scales, each of which is challenging in terms of data processing, removal of vegetation and surface effects, and calibration. While in situ measurements are trusted at the point scale, distributed sensor networks extend the areal representation to the field scale. At this scale, also cosmic ray neutron sensing (CRNS) has become an established method to derive volume-averaged, root zone soil moisture over several tens of hectometers, but the signal is often biased due to biomass water. With airborne synthetic aperture radar (SAR)remote sensing, it is possible to cover regional scales, but the method is limited to the topmost soil layer and sensitive to vegetation parameters. In this study, the performance and synergistic potential of these complementary methods is investigated for the determination of soil moisture within a 55-km(2) Alpine foothill river catchment in Southern Germany. The individual approaches are evaluated and brought into synergy for a 9-ha grassland and several other locations within the catchment. The results indicate that the sensor network data provide valuable information to calibrate the mobile CRNS rover, and to optimize the vegetation removal within the polarimetric SAR retrieval algorithm. The root-mean-square errors for polarimetric synthetic aperture radar soil permittivity are 9.32 with the standard agriculture approach, 4.29 with the semi-stand-alone approach, and 0.31 with the sensor network optimized approach. Furthermore, the CRNS soil moisture product was improved by considering the remotely sensed cross-polarized backscatter product as a biomass water proxy.


英文关键词soil moisture scales SoilNet polarimetric SAR cosmic ray neutron rover synergy
领域资源环境
收录类别SCI-E
WOS记录号WOS:000453369400044
WOS关键词SYNTHETIC-APERTURE RADAR ; WATER CONTENT ; SURFACE ; PROBES ; OBSERVATORIES ; CALIBRATION ; BIOMASS
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20989
专题资源环境科学
作者单位1.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Garmisch Partenkirchen, Germany;
2.Microwaves & Radar Inst, German Aerosp Ctr, Wessling, Germany;
3.UFZ Helmholtz Ctr Environm Res, Dept Monitoring & Explorat Techrolo, Leipzig, Germany
推荐引用方式
GB/T 7714
Fersch, B.,Jagdhuber, T.,Schroen, M.,et al. Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network[J]. WATER RESOURCES RESEARCH,2018,54(11):9364-9383.
APA Fersch, B.,Jagdhuber, T.,Schroen, M.,Voelksch, I,&Jaeger, M..(2018).Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network.WATER RESOURCES RESEARCH,54(11),9364-9383.
MLA Fersch, B.,et al."Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network".WATER RESOURCES RESEARCH 54.11(2018):9364-9383.
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