Ground‐based investigation of soil moisture variability within remote sensing footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment
James S. Famiglietti,J. A. Devereaux,C. A. Laymon,T.D. Tsegaye,Paul R. Houser,Thomas J. Jackson,Steve Graham,Matthew Rodell,P. J. van Oevelen +8 more
TL;DR: The Southern Great Plains 1997 (SGP97) Hydrology Experiment (a surface soil moisture mapping mission conducted between June 18 and July 17, 1997, in central Oklahoma) was conducted to characterize soil moisture variability within remote sensing footprints (approximately 0.64 km2) with more certainty than would be afforded with conventional gravimetric moisture content sampling.
read more
Abstract: Surface soil moisture content is highly variable in both space and time. While remote sensing provides an effective methodology for mapping surface moisture content over large areas, it averages within-pixel variability thereby masking the underlying heterogeneity observed at the land surface. This variability must be better understood in order to rigorously evaluate sensor performance and to enhance the utility of the larger-scale remotely sensed averages by quantifying the underlying variability that remote sensing cannot record explicitly. In support of the Southern Great Plains 1997 (SGP97) Hydrology Experiment (a surface soil moisture mapping mission conducted between June 18 and July 17, 1997, in central Oklahoma) an investigation was conducted to characterize soil moisture variability within remote sensing footprints (approximately 0.64 km2) with more certainty than would be afforded with conventional gravimetric moisture content sampling. Nearly every day during the experiment period, portable impedance probes were used to intensively monitor volumetric moisture content in the 0- to 6-cm surface soil layer at six footprint-sized fields scattered over the SGP97 study area. A minimum of 49 daily moisture content measurements were made on most fields. Higher-resolution grid and transect data were also collected periodically. In total, more than 11,000 impedance probe measurements of volumetric moisture content were made at the six sites by over 35 SGP97 participants. The wide spatial distribution of the sites, combined with the intensive, near-daily monitoring, provided a unique opportunity (relative to previous smaller-scale and shorter-duration soil moisture studies) to characterize variations in surface moisture content over a range of wetness conditions. In this paper the range and temporal dynamics of the variability in moisture content within each of the six fields are described, as are general relationships between the variability and footprint-mean moisture content. Results indicate that distinct differences in mean moisture content between the six sites are consistent with variations in soil type, vegetation cover, and rainfall gradients. Within fields the standard deviation, coefficient of variation, skewness, and kurtosis increased with decreasing moisture content; the distribution of surface moisture content evolved from negatively skewed/nonnormal under very wet conditions, to normal in the midrange of mean moisture content, to positively skewed/nonnormal under dry conditions; and agricultural practices of row tilling and terracing were shown to exert a major control on observed moisture content variations. Results presented here can be utilized to better evaluate sensor performance, to extrapolate estimates of subgrid-scale variations in moisture content across the entire SGP97 region, and in the parameterization of soil moisture dynamics in hydrological and land surface models.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Simulating soil moisture variability dynamics
A.J. Teuling,P.A.A. Troch +1 more
- 01 Jan 2004
TL;DR: In this article, the interaction between soil, vegetation, and landscape controls can explain observed trends in soil moisture variability, and successfully transform point-scale measurements and parameterizations to scales required for climate studies, operational weather forecasting, and large scale hydrological modeling.
Spatial and temporal variation of 10-cm background soil moisture
Rae Melloh,Chris Berini,Ronald Bailey +2 more
- 18 May 2006
TL;DR: The highest spatial variance in moisture that produced the most variable background for small target detection occurred as a consequence of the incomplete or uneven wetting following a drought.
References
Variability in surface moisture content along a hillslope transect: Rattlesnake Hill, Texas
TL;DR: In this article, the authors characterize variations in moisture content in the 0-5 cm surface soil layer along a hillslope transect by means of intensive sampling in both space and time and make inferences regarding the environmental factors that influence this variability.
720
Passive microwave remote sensing system for soil moisture: some supporting research
TL;DR: A review of the current understanding of passive microwave remote sensing of soil moisture and examples of potential applications are presented in this article, where some of the relevant results supporting the implementation of a soil moisture microwave sensor are discussed.
295
ESTAR: a synthetic aperture microwave radiometer for remote sensing applications
D.M. Le Vine,Andrew J. Griffis,Calvin T. Swift,Thomas J. Jackson +3 more
- 01 Dec 1994
TL;DR: The ESTAR as mentioned in this paper is a hybrid real-and-synthetic aperture radiometer which employs stick antennas to achieve resolution along track and uses aperture synthesis to achieve resolutions across track.
235
Analysis of surface moisture variations within large‐field sites
TL;DR: In this paper, a statistical analysis was made on ground soils to define the general relationship and ranges of values of the field moisture relative to both the variance and coefficient of variation for a given test site and depth increment.