Estimation of soil moisture from remote sensing data and cokriging

Youfang Liu, Moe Momayez, Daoqin Tong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Areas of high soil moisture associated with high pore pressure can decrease the shear strength of the material making a slope susceptible to fail. In a humid environment, the distribution of soil moisture is typically determined based on topography. However, in a semi-arid environment, little research has been conducted to assess the relationship between soil moisture and topography index, such as Topography Wetness Index (TWI) due to excessive costs, time restrictions and/or poor accessibility. This paper examines the relationship between the two variables (soil moisture and TWI) in the Walnut Gulch Experimental Watershed using remote sensing techniques. Soil moisture has been measured at few sample sites in the watershed. Images from the Shuttle Radar Topography Mission (SRTM) were used to create digital elevation models to obtain the Topography Wetness Index. A continuous soil moisture map was then created using geostatistical interpolation, incorporating the relationship between the two variables. The cross-validation method has been used to check the accuracy of the interpolation.

Original languageEnglish (US)
Title of host publicationProceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP
Pages889-894
Number of pages6
Volume2
StatePublished - 2009
Event22nd Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009, SAGEEP 2009 - Fort Worth, TX, United States
Duration: Mar 29 2009Apr 2 2009

Other

Other22nd Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009, SAGEEP 2009
CountryUnited States
CityFort Worth, TX
Period3/29/094/2/09

Fingerprint

soil moisture
Soil moisture
Topography
remote sensing
Remote sensing
topography
moisture content
Watersheds
interpolation
Interpolation
watershed
humid environment
digital elevation models
Shuttle Radar Topography Mission
Pore pressure
shear strength
arid environment
Shear strength
accessibility
pore pressure

ASJC Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology
  • Environmental Engineering

Cite this

Liu, Y., Momayez, M., & Tong, D. (2009). Estimation of soil moisture from remote sensing data and cokriging. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (Vol. 2, pp. 889-894)

Estimation of soil moisture from remote sensing data and cokriging. / Liu, Youfang; Momayez, Moe; Tong, Daoqin.

Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP. Vol. 2 2009. p. 889-894.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, Y, Momayez, M & Tong, D 2009, Estimation of soil moisture from remote sensing data and cokriging. in Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP. vol. 2, pp. 889-894, 22nd Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009, SAGEEP 2009, Fort Worth, TX, United States, 3/29/09.
Liu Y, Momayez M, Tong D. Estimation of soil moisture from remote sensing data and cokriging. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP. Vol. 2. 2009. p. 889-894
Liu, Youfang ; Momayez, Moe ; Tong, Daoqin. / Estimation of soil moisture from remote sensing data and cokriging. Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP. Vol. 2 2009. pp. 889-894
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