Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks

Heathman, Gary C.; Cosh, Michael H.; Han, Eunjin; Jackson, Thomas J.; McKee, L.; McAfee, Scott J.

doi:10.1016/j.geoderma.2011.11.004

Cited by 61 publications

(44 citation statements)

References 22 publications

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“…It is noteworthy that temporally stable sites having a non-zero MRD can be used to represent the areal average soil moisture if the offset between the site and the areal average soil moisture is known . However, the assumption based on this method is that the offset is constant regardless of time and this has been questioned by previous studies (Gao et al, 2013;Heathman et al, 2012). Following Jacobs et al (2004), to combine both MRD and SDRD, the root mean square error (RMSE) of the biases (MRD) and its precision (SDRD) was computed as…”

Section: Temporal Stability Analysismentioning

confidence: 99%

On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia

Yee

Walker

Monerris

et al. 2016

Journal of Hydrology

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Section: Temporal Stability Analysismentioning

confidence: 99%

On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia

Yee

Walker

Monerris

et al. 2016

Journal of Hydrology

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“…TSA is widely used to evaluate the temporal pattern of soil moisture, (Brocca et al, 2009;Heathman et al, 2012;Martinez-Fernandez and Ceballos, 2003;Vachaud et al, 1985) and a higher autocorrelation coefficient indicates a lower temporal fluctuation of soil moisture. In this research, the autocorrelation coefficient evaluation describes the temporal dynamic characteristics of soil moisture throughout the entire hydrological responses.…”

Section: Time Series Analysis (Tsa) Of the Temporal Pattern Of Soil Mmentioning

confidence: 99%

“…For instance, Penna et al (2013) systematically reported the TSSM characteristics of different soil depths under hillslope scales during the wet and dry periods in the three years. Heathman et al (2012) divided the temporal pattern of soil moisture into three patterns-time-averaged, wettest and driest period-and mutually compared corresponding TSSM characteristics at field scale. Other researchers (Brocca et al, 2010;Gomez-Plaza et al, 2000;Williams et al, 2009) also analyzed the TSSM in the wet and dry periods on watershed and landscape scales.…”

Section: Introductionmentioning

confidence: 99%

Temporal stability of surface soil moisture of different vegetation types in the Loess Plateau of China

Zhou¹,

Fu²,

Gao³

et al. 2015

CATENA

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The temporal stability of soil moisture (TSSM) was widely applied to optimize the soil moisture sampling scheme on a catchment or even larger spatial scale over wet and dry observational periods. However, the integration of the TSSM feature with specific hydrological response at a small plot scale has not been sufficiently researched. This study analyzed the temporal stability of surface soil moisture (0-10 cm) characteristics and corresponding influencing factors of different vegetation types under two typical soil moisture changing processes including wet-to-dry (WTD) and dry-to-wet (DTW), and determined the representative points. A total of 16 microplots (60 × 60 cm each) that were composed of three vegetation types containing Andropogon, Artemisia scoparia and Spiraea pubescens and bare land cover were selected. And the soil moisture in the central point (CP) and four ambient points (APs) of each microplot were measured during the WTD and DTW processes. The results showed that, 1) from DTW to WTD processes, the distribution of the soil water content in different vegetation types indicated a significant difference. Compared with the soil moisture in the AP or CP area of other vegetation types, the soil water content in tall shrub types (S. pubescens) was the lowest. 2) The autocorrelation coefficient indicated that both in the AP and CP areas, the soil moisture of the low shrub types (A. scoparia) had a higher temporal stability than that of other vegetation types. However, the soil water content in bare land had the highest temporal fluctuation from the DTW to WTD processes. Additionally, in the CP area, the TSSM of all the vegetation types tended to decrease during the WTD process. 3) Based on the TSSM analysis system that was derived from the principle of probability and statistics, the soil moisture in the low shrub types (A. scoparia) most likely provides the best representativeness of the spatial average soil water content of heterogeneous vegetation types. The determination of the representative soil moisture point via the hydrological-trait sampling method could be supplementary and significant for a TSSM study of the available soil water resources in an arid and semi-arid ecosystem.

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“…Three particularly important questions relating to this topic are (1) do large gullies alter the spatial correlations of soil moisture fields; (2) how large gullies affect the relations of soil moisture with the complex topography; and (3) what is the optimal soil sampling strategy when working in areas with large gullies. For the third issue, earlier studies primarily focus on mean values and did not consider spatial variability for the design of optimal sampling strategies (Brocca et al, 2007(Brocca et al, , 2010(Brocca et al, , 2012Zhou et al, 2007;Wang et al, 2008;Hu et al, 2010;Han et al, 2012;Heathman et al, 2012;Gao et al, 2013b;Sur et al, 2013). Here, this issue is addressed by investigating the effects of increasing sample counts on both spatial means and spatial variability.…”

Section: Introductionmentioning

confidence: 99%

Effects of large gullies on catchment-scale soil moisture spatial behaviors: A case study on the Loess Plateau of China

Zhao

Brocca

et al. 2016

Geoderma

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Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks

Cited by 61 publications

References 22 publications

On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia

On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia

Temporal stability of surface soil moisture of different vegetation types in the Loess Plateau of China

Effects of large gullies on catchment-scale soil moisture spatial behaviors: A case study on the Loess Plateau of China

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