Estimating Soil Moisture Patterns with Remote Sensing and Terrain Data at the Small Catchment Scale

Schröter, Ingmar; Paasche, Hendrik; Doktor, Daniel; Xu, Xingmei; Dietrich, Peter; Wollschläger, Ute

doi:10.2136/vzj2017.01.0012

Cited by 10 publications

(7 citation statements)

References 77 publications

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“…Within the Schäfertal, Schröter et al (2015Schröter et al ( , 2017 performed regular TDR campaigns by foot using 94 locations in the whole catchment area. During several campaigns from 2014 to 2016, the CRNS rover accompanied their team.…”

Section: 1029/2017wr021719mentioning

confidence: 99%

Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads

Schrön

Rosolem

Köhli

et al. 2018

Water Resources Research

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Measurements of root‐zone soil moisture across spatial scales of tens to thousands of meters have been a challenge for many decades. The mobile application of Cosmic Ray Neutron Sensing (CRNS) is a promising approach to measure field soil moisture noninvasively by surveying large regions with a ground‐based vehicle. Recently, concerns have been raised about a potentially biasing influence of local structures and roads. We employed neutron transport simulations and dedicated experiments to quantify the influence of different road types on the CRNS measurement. We found that roads introduce a substantial bias in the CRNS estimation of field soil moisture compared to off‐road scenarios. However, this effect becomes insignificant at distances beyond a few meters from the road. Neutron measurements on the road could overestimate the field value by up to 40 % depending on road material, width, and the surrounding field water content. The bias could be largely removed with an analytical correction function that accounts for these parameters. Additionally, an empirical approach is proposed that can be used without prior knowledge of field soil moisture. Tests at different study sites demonstrated good agreement between road‐effect corrected measurements and field soil moisture observations. However, if knowledge about the road characteristics is missing, measurements on the road could substantially reduce the accuracy of this method. Our results constitute a practical advancement of the mobile CRNS methodology, which is important for providing unbiased estimates of field‐scale soil moisture to support applications in hydrology, remote sensing, and agriculture.

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Section: 1029/2017wr021719mentioning

confidence: 99%

Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads

Schrön

Rosolem

Köhli

et al. 2018

Water Resources Research

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“…Airborne platforms currently available range from large manned aircraft to remotely piloted unmanned aerial vehicles (see Section 4.4). Aircraft have been used over many years to measure in situ wind fields and other meteorological parameters as well as for remote sensing [130][131][132][133]. Such measurements cover scales from several hundred km at cruising speeds of up to 100 m s −1 from large aircraft to local, a few hundred meters scale, at speeds of a few to zero m s −1 from multi-copters and small model-aircraft.…”

Section: Aircraft In Situmentioning

confidence: 99%

High-Resolution Observations of Transport and Exchange Processes in Mountainous Terrain

et al. 2018

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Mountainous areas require appropriate measurement strategies to cover the full spectrum of details concerning the energy exchange at the Earth’s surface and to capture the spatiotemporal distribution of atmospheric dynamic and thermodynamic fields over them. This includes the range from turbulence to mesoscale processes and its interaction. The surface energy balance needs appropriate measurement strategies as well. In this paper, we present an overview of important experiments performed over mountainous terrain and summarize the available techniques for flow and energy measurements in complex terrain. The description includes ground-based and airborne in situ observations as well as ground-based and airborne remote sensing (passive and active) observations. Emphasis is placed on systems which retrieve spatiotemporal information on mesoscale and smaller scales, fitting mountainous terrain research needs. Finally, we conclude with a short list summarizing challenges and gaps one faces when dealing with measurements over complex terrain.

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“…On the one hand, the studies of Martini et al (2017), Calamita et al (2017), Schröter et al (2017), and Wei et al (2017) tried to identify soil moisture patterns and to characterize the controlling factors at hillslope, field, small catchment, and watershed scales, respectively. On the other hand, Eichert et al (2017) conducted a multiscale study on evaluating distributed data for analyzing biodegradation patterns of hydrocarbon contamination in the vadose zone.…”

Section: Spatial and Temporal Variability Of Biogeochemical Fluxesmentioning

confidence: 99%

“…Schröter et al (2017) studied soil moisture patterns at the small catchment scale using multispectral remote sensing (RapidEye) and topographic data. They used a fuzzy c ‐means sampling and estimation approach (FCM SEA) for fusing terrain and vegetation (from RapidEye images) data with the purpose of reconstructing multitemporal soil moisture spatial patterns in the Schäfertal catchment (located in central Germany).…”

Section: Spatial and Temporal Variability Of Biogeochemical Fluxesmentioning

confidence: 99%

Soil Variability and Biogeochemical Fluxes: Toward a Better Understanding of Soil Processes at the Land Surface

Martínez

Brocca

Gerke

et al. 2017

Vadose Zone Journal

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Soil biogeochemical fluxes in the vadose zone are characterized by a large degree of variability in space and time. This fact leads to the need for the development and application of appropriate methodologies to better understand the high nonlinearity and complex feedback mechanisms responsible for such fluxes. In this sense, there still exists a lack of knowledge in topics such as the scale dependence of the spatial and temporal variability of the controls on soil moisture and biodegradation rates and the dynamic behavior of flow and transport model parameter, and its association with the presence of roots. Knowledge of the variability of biogeochemical fluxes is needed for assorted applications ranging from natural hazards and environmental pollution risk assessment to agricultural production and water resources management. The contributions to this special section epitomize the ongoing effort toward the characterization, quantification, modeling, and understanding of biogeochemical fluxes in the vadose zone at several spatial and temporal scales. The main progress has been the identification of different controls on soil moisture and biodegradation rates depending on the scale of the study as well as the important dependence of the spatial and temporal variability of biogeochemical fluxes on dynamic properties such as vegetation and weather variables.

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Estimating Soil Moisture Patterns with Remote Sensing and Terrain Data at the Small Catchment Scale

Cited by 10 publications

References 77 publications

Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads

Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads

High-Resolution Observations of Transport and Exchange Processes in Mountainous Terrain

Soil Variability and Biogeochemical Fluxes: Toward a Better Understanding of Soil Processes at the Land Surface

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