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Cited by 455

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Survey of methods for soil moisture determination

Open access
Schmugge, T. J., Jackson, T. J., McKim, H. L.·1980·Water Resources Research

Abstract

Increased interest in soil moisture information for applications in such disciplines as hydrology, meteorology, and agriculture has necessitated an overview of both existing and proposed methods for determination of soil moisture. This paper thus discusses methods of in situ soil moisture determination including gravimetric, nuclear, and electromagnetic techniques; soil physics models that track the behavior of water in the soil in response to meteorological inputs (precipitation) and demands (evapotranspiration); and remote sensing approaches that use the solar, thermal infrared, and microwave portions of the electromagnetic spectrum. The abilities of these approaches to satisfy various user needs for soil moisture information vary from application to application. Therefore we have proposed a conceptual scheme for merging these approaches into an integrated system. This system should provide soil moisture information having the potential for meeting the requirements of various applications.

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Crossref · 10.1029/wr016i006p00961

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Metadata

Authors
Schmugge, T. J., Jackson, T. J., & McKim, H. L.
Venue
Water Resources Research
Published
1980-12
Volume
16
Issue
6
Pages
961-979
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2089333997
Cited by
455
References
19
FWCI
15.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Survey of methods for soil moisture determination. https://app.cochat.ai/papers/10.1029/wr016i006p00961
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Schmugge, T. J., Jackson, T. J., & McKim, H. L. (1980). Survey of methods for soil moisture determination. Water Resources Research. https://doi.org/10.1029/wr016i006p00961

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.