Soil moisture variability on the landscape as a function of land use: implication for remote sensing of surface soil moisture

Archer, Frank; Manu, A.; Laymon, Charles A.; Senwo, Zachary N.; Coleman, Tommy L.

doi:10.1109/igarss.1999.774546

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…This is because when the soil moisture content is higher following a large storm event, the CV decreases. Some of the previous studies show that with the increase in the soil moisture content, the CV decreases [ Archer et al , 1999; Moran et al , 2004]. The decrease in CV due to increasing moisture content may have resulted in higher correlation lengths at the regional study site.…”

Section: Discussionmentioning

confidence: 96%

Physical controls of near‐surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02

Joshi

Mohanty

2010

Water Resources Research

110

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[1] Understanding of near-surface soil moisture variability at different spatial scales and associated dominant physical controls is limited. In the past, soil moisture dynamics studies have been conducted extensively at different spatial scales using both in situ and remote sensing (RS) data in the subhumid Southern Great Plains region, which has mostly pasture and range land cover with rolling topography. Compared to the past efforts, we investigated the space-time characterization of near-surface soil moisture and associated physical controls at multiple scales (field, watershed, and region) in a humid hydroclimatic region with different topography and agricultural land cover. Soil moisture data from two different measurement support scales (theta probe based (point scale) and airborne RS derived; footprint scale, 800 m × 800 m), obtained during the Soil Moisture Experiment 2002 (SMEX02) in Iowa were used. Geostatistical analysis showed the spatial soil moisture correlation lengths varied between 78 m and 307 m (at the field scale), 2044 m and 11,882 m (at the watershed scale), and 19,500 m and 118,500 m (at the regional scale). The correlation length values were usually smaller on wet days than the relatively dry days at the field and watershed scales. The trend was opposite at the regional scale with correlation lengths being larger on wet days. Furthermore, the soil moisture data sets were decomposed into spatial Empirical Orthogonal Function (EOF) patterns, and their relationship with various geophysical parameters (rainfall, topography, soil texture, and vegetation) was examined to determine the dominant control on the near-surface soil moisture variability. At the field scale, the first four EOFs together explained about 81% of the total variability. At the watershed scale, the first two EOFs were dominant explaining about 93% of the total variance, whereas at the regional scale, the primary EOF itself explained more than 70% of the variance. In other words, the complicated dynamics of near-surface soil moisture fields can be described by a few underlying orthogonal spatial structures related to the geophysical attributes of the region. Correlation analysis of the RS soil moisture data showed that rainfall, topography, and soil texture have mixed effects on the variability explained by the dominant EOFs, at both watershed and regional scales, with limited influence of vegetation parameters. The effect of rainfall on the soil moisture variability is higher at the watershed scale compared to the regional scale in Iowa.Citation: Joshi, C., and B. P. Mohanty (2010), Physical controls of near-surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02, Water Resour. Res., 46, W12503,

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Section: Discussionmentioning

confidence: 96%

Physical controls of near‐surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02

Joshi

Mohanty

2010

Water Resources Research

110

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“…1). The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties (Archer et al, 1999).…”

Section: Weather Conditions Monitored During the Experimentmentioning

confidence: 99%

The National Policy of Public Health and Nutrition in Latvia

Šmate¹,

Straume²,

Skrule³

2012

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences

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<title>Microwave polarimetric scatterometer as a tool for monitoring topsoil moisture</title>

D'Alessio

Notarnicola

Posa

et al. 2001

Subsurface and Surface Sensing Technologies and Applications III

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Microwave remote sensing is a good tool for topsoil moisture monitoring due to the large difference between dielectric properties of dry soil and water. The aim of this work is to exploit microwave remote sensing techniques to collect data on soil water content of large areas rapidly and without direct soil samples analysis. To this purpose, a frequency modulated -continuous wave C-band microwave polarimetric radar has been built. The device has two transmitting channels that illuminate the soil with orthogonal linearly polarized electromagnetic waves. Two receiving channels detect the linearly polarized waves backscattered from the same target. This scatterometer can measure the module of the soil electromagnetic scattering matrix elements. The knowledge of this matrix permits the computation of all the possible polarization combinations of backscattering normalized Radar Cross Section (RCS) through a polarization synthesis approach. A Fourier analysis of this signal extracts the scattering matrix values of "different-in-range" resolution cells. The height and the incidence angle of this microwave sensor can be varied within large intervals; this allows the measurements of the RCS in various configurations that should give insights on soil moisture parameter extraction under different conditions.

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Soil moisture variability on the landscape as a function of land use: implication for remote sensing of surface soil moisture

Cited by 3 publications

References 5 publications

Physical controls of near‐surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02

Physical controls of near‐surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02

The National Policy of Public Health and Nutrition in Latvia

<title>Microwave polarimetric scatterometer as a tool for monitoring topsoil moisture</title>

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