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Record Search Query: [Keyword='Soil Moisture']

ESAP Model: Statistical software package for estimating field scale spatial salinity patterns from electromagnetic induction signal data
Entry ID: USDA_ARS_ESAP

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Summary
Abstract: Each program in this ESAP software suite contains a number of features designed
to help perform the various components of the soil salinity assessment process,
described below:

1. ESAP-RSSD (Response Surface Sampling Design software)

Used to generate optimal sampling designs for stochastic calibration
models based on conductivity survey data. The following capabilities listed
below have ... View entire text
Related URL
Description: Fill out form to download ESAP Model.
Service Citation
Originators: USDA Agricultural Research Service
Title: ESAP Model: Statistical software package for estimating field scale spatial salinity patterns from electromagnetic induction signal data
Release_Date: 2003
Provider: USDA Agricultural Research Service
Edition: 2
URL: http://www.ars.usda.gov/Services/docs.htm?docid=8918
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition
DATA ANALYSIS AND VISUALIZATION >VISUALIZATION/IMAGE PROCESSING Parameter Definition
MODELS >COMPONENT PROCESS MODELS Parameter Definition

Ancillary Keywords
Models
Regression model
Soil Characteristics
Soil Moisture

Service Provider
USDA/ARS/USSL > U.S. Salinity Laboratory, Agricultural Research Service, U. S. Department of Agriculture Supplemental Info
Service Organization URL: http://www.ars.usda.gov/main/site_main.htm?modecode=20-36-05-00

Service Provider Personnel
Name: WALTER RUSSELL
Phone: 909-369-4850
Fax: 909-342-4964
Email: wrussell at ussl.ars.usda.gov
Contact Address:
U.S. Salinity Laboratory
USDA, ARS
450 West Big Springs Road
City: Riverside
Province or State: CA
Postal Code: 92507-4617
Country: USA
Distribution Media
Distribution_Media: Online
Personnel
TYLER B. STEVENS
Role: SERF AUTHOR
Phone: (301) 614-6898
Fax: 301-614-5268
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
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Publications/References
Lesch, S.M., D.J. Strauss and J.D. Rhoades. 1995a. Spatial prediction of
soil salinity using electromagnetic induction techniques: 1. Statistical
prediction models: A comparison of multiple linear regression and cokriging.
Water Resour. Res. 31:373-386.
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Creation and Review Dates
SERF Creation Date: 2007-03-07
SERF Last Revision Date: 2007-03-08
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