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Article
Establishing a Relationship Between Soil Moisture and RADARSAT-1 SAR Data Obtained over the Great Basin, Nevada, U.S.A.
Canadian Journal of Remote Sensing (2004)
  • N. F. Glenn, Idaho State University
  • J. R. Carr
Abstract
A predictive model estimating soil moisture with RADARSAT-1 data is developed for Winnemucca Lake, Nevada, in the western Great Basin of North America. Winnemucca Lake, a playa, is used for testing based on its hydrologic and geomorphic properties and its nonvegetated environment. The empirical model predicts soil moisture (%) as 2.4 sigma nought (σo) + 137.8 db, yielding a correlation coefficient between soil moisture and σo of 0.86. This relationship was developed by using block kriging to geostatistically register the point field soil moisture measurements to the σo values from the RADARSAT-1 pixels. It is considered to be significant because it depicts a new geostatistical approach for relating point measurements with area estimates of soil moisture from remote sensing data.
Disciplines
Publication Date
2004
Citation Information
N. F. Glenn and J. R. Carr. "Establishing a Relationship Between Soil Moisture and RADARSAT-1 SAR Data Obtained over the Great Basin, Nevada, U.S.A." Canadian Journal of Remote Sensing Vol. 30 Iss. 2 (2004)
Available at: http://works.bepress.com/nancy_glenn/54/