Process modeling for soil moisture using sensor network data

Souparno Ghosh, David M. Bell, James S. Clark, Alan E. Gelfand, Paul G Flikkema

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The quantity of water contained in soil is referred to as the soil moisture. Soil moisture plays an important role in agriculture, percolation, and soil chemistry. Precipitation, temperature, atmospheric demand and topography are the primary processes that control soil moisture. Estimates of landscape variation in soil moisture are limited due to the complexity required to link high spatial variation in measurements with the aforesaid processes that vary in space and time. In this paper we develop an inferential framework that takes the form of data fusion using high temporal resolution environmental data from wireless networks along with sparse reflectometer data as inputs and yields inference on moisture variation as precipitation and temperature vary over time and drainage and canopy coverage vary in space. We specifically address soil moisture modeling in the context of wireless sensor networks.

Original languageEnglish (US)
JournalStatistical Methodology
DOIs
StateAccepted/In press - 2013

Fingerprint

Soil Moisture
Process Modeling
Sensor Networks
Vary
Soil
Sparse Data
Agriculture
Data Fusion
Moisture
Topography
Process Control
Chemistry
Wireless Networks
Wireless Sensor Networks
Coverage
Water
Modeling
Estimate

Keywords

  • Data fusion
  • Euler discretization
  • Hierarchical nonlinear model
  • Partial differential equation
  • State space model

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Process modeling for soil moisture using sensor network data. / Ghosh, Souparno; Bell, David M.; Clark, James S.; Gelfand, Alan E.; Flikkema, Paul G.

In: Statistical Methodology, 2013.

Research output: Contribution to journalArticle

Ghosh, Souparno ; Bell, David M. ; Clark, James S. ; Gelfand, Alan E. ; Flikkema, Paul G. / Process modeling for soil moisture using sensor network data. In: Statistical Methodology. 2013.
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