Assessment of sampling error associated with soil moisture estimation designs

Gwangseob Kim, Juan B Valdes, Gerald R. North, Tae Kim Hong

Research output: Contribution to journalArticle

Abstract

A spectral formalism was developed and applied to quantify the sampling errors due to spatial and/or temporal gaps in soil moisture measurements. A design filter was developed to compute the sampling errors for discrete measurements in space and time. This filter has as its advantage a general form applicable to various types of sampling design. The lack of temporal measurements of the two-dimensional soil moisture field made it difficult to compute the spectra directly from observed records. Therefore, the wave number frequency spectra of soil moisture data derived from stochastic models of rainfall and soil moisture were used. Parameters for both models were estimated using data from the Southern Great Plains Hydrology Experiment (SGP97) and the Oklahoma Mesonet. The estimated sampling error of the spatial average soil moisture measurement by airborne L-band microwave remote sensing during the SGP97 hydrology experiment is estimated to be 2.4 percent. Under the same climate conditions and soil properties as the SGP97 experiment, equally spaced ground probe networks at intervals of 25 and 50 km are expected to have about 16 percent and 27 percent sampling error, respectively. Satellite designs with temporal gaps of two and three days are expected to have about 6 percent and 9 percent sampling errors, respectively. JAWRA

Original languageEnglish (US)
Pages (from-to)213-224
Number of pages12
JournalJournal of the American Water Resources Association
Volume42
Issue number1
DOIs
StatePublished - Feb 2006

Fingerprint

Soil moisture
soil moisture
Sampling
sampling
Hydrology
hydrology
filter
experiment
Experiments
Stochastic models
climate conditions
Rain
Remote sensing
soil property
Microwaves
probe
Satellites
remote sensing
Soils
rainfall

Keywords

  • Infiltration
  • Rainfall
  • Remote sensing
  • Sampling design
  • Sampling error
  • Soil moisture
  • Spectral formalism

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Environmental Engineering
  • Water Science and Technology

Cite this

Assessment of sampling error associated with soil moisture estimation designs. / Kim, Gwangseob; Valdes, Juan B; North, Gerald R.; Hong, Tae Kim.

In: Journal of the American Water Resources Association, Vol. 42, No. 1, 02.2006, p. 213-224.

Research output: Contribution to journalArticle

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