Ground‐based investigation of soil moisture variability within remote sensing footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment

Abstract

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 km 2 ) 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.

Linking surface and subsurface properties of biocrusted and non-biocrusted habitats of fine-grained fluvial sediments (playas) from the Negev Desert

“…For the determination of the available water content (AWC), measurements of the gravimetric water content were manually conducted in 20-30 g samples. Although time-consuming, direct measurements by weight provide the most exact values of the amount of water within the soil sample, serving therefore as the standard calibration method for all other methods, such as moisture sensors connected to data loggers (Yoder et al, 1998) or neutron gauges (Leib et al, 2003), which are used in turn for the calibration of moisture obtained using remote sensing methods (Famiglietti et al, 1999). It is worth mentioning, that water loss following soil disturbance and the manual sampling is negligible due to a b the fact that sampling is carried out within minutes after digging and due to low evaporation rates during the rainy season (of <2 mm d -1 ; see Kidron, 2009).…”

Goulburn River experimental catchment data set

“…[3] While there have been several studies on the spatial and temporal variability of soil moisture, these have been either large-scale intensive experiments for short periods (weeks) of time, such as the Southern Great Plains (SGP) [e.g., Famiglietti et al, 1999] and Soil Moisture Experiments (SMEX) series [e.g., Jacobs et al, 2004a] experiments, or medium-term (years) detailed studies of small areas, such as the Tarrawarra [Western et al, 1999], Nerrigundah [Walker et al, 2001], and Mahurangi experiments [Woods et al, 2001]. What has been missing to date is a long-term detailed experiment for a large area encapsulating a range of land cover, land use, and soil type conditions.…”

JASMIN: A prototype high resolution soil moisture analysis system for Australia

“…Famiglietti et al 1999). This spatial variability is due to the very high spatial variability of vegetation properties, soil textures, orography and rainfall.…”