Spatial sampling uncertainty in SMEX04 soil moisture fields: A data-based resampling experiment

Mekonnen Gebremichael, Enrique Vivoni

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A data-based resampling experiment is performed to estimate sampling errors of area-averaged soil moisture estimates due to spatial sampling by ground-based sensors. The data consists of high-resolution soil moisture images derived from the Polarimetric Scanning Radiometer (PSR/CX) sensor flown on an aircraft as part of the summer field experiment (SMEX04 - Soil Moisture Experiment 2004) in the monsoon region of Sonora, Mexico. The sampling characteristics are investigated by accounting for random networks and evenly spaced networks. For random network designs, we develop a simple model that can be used to estimate the sampling uncertainty (expressed as standard deviation of sampling error as a percentage of the areal mean soil moisture) as a function of the number of sensors, mean soil moisture content and averaging area. This model is valid for five or more sensors. The model should prove useful to those wishing to assess the area-averaged performance of a soil moisture network. Furthermore, the method of analysis is applicable to other study regions (Oklahoma, Iowa, Alabama, Georgia, and Arizona) where soil moisture fields have been mapped at high resolution using airborne passive microwave remote sensors.

Original languageEnglish (US)
Pages (from-to)326-336
Number of pages11
JournalRemote Sensing of Environment
Volume112
Issue number2
DOIs
StatePublished - Feb 15 2008
Externally publishedYes

Fingerprint

Soil moisture
uncertainty
soil moisture
sensors (equipment)
soil water
Sampling
sampling
sensor
Sensors
experiment
Experiments
radiometers
aircraft
network design
Radiometers
Uncertainty
soil water content
radiometer
Mexico
moisture content

Keywords

  • Remote sensing
  • Sampling uncertainty
  • SMEX04
  • Soil moisture

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Environmental Science(all)
  • Management, Monitoring, Policy and Law

Cite this

Spatial sampling uncertainty in SMEX04 soil moisture fields : A data-based resampling experiment. / Gebremichael, Mekonnen; Vivoni, Enrique.

In: Remote Sensing of Environment, Vol. 112, No. 2, 15.02.2008, p. 326-336.

Research output: Contribution to journalArticle

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