FASST Soil Moisture Prediction Error at Yuma, Arizona

Abstract

A linear predictive error variance analysis was employed using the one dimensional state-of-the-ground model FASST (Fast All-season Soil Strength) and calibration data for Yuma, Arizona (Frankenstein and Koenig 2004). The analysis was performed with the intent to quantify soil moisture predictive error and to examine ways in which it could be reduced, in particular, to demonstrate a methodology wherein one can examine the contribution from each individual model parameter to overall soil moisture predictive error variance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2006
Accession Number
ADA447546

Entities

People

  • Brian E. Skahill
  • Susan Frankenstein

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Acquisition
  • Analysis Of Variance
  • Cold Regions
  • Data Acquisition
  • Data Sets
  • Department Of Defense
  • Dry Materials
  • Engineering
  • Engineers
  • Equations
  • Measurement
  • New Hampshire
  • Standards
  • Structural Components
  • Surface Temperature
  • Surface Waters
  • Water

Readers

  • Agricultural Chemistry/Soil Science
  • Computational Modeling and Simulation
  • ballistics.