A ground validation problem of remotely sensed soil moisture data

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

As the use of space-based sensors to observe soil moisture is becoming more plausible, it is becoming necessary to validate the remotely sensed soil moisture retrieval algorithms. In this paper, measurements of point gauges on the ground are analyzed as a possible ground-truth source for the comparison with remotely sensed data. The design compares a sequence of measurements taken on the ground and from space. The authors review the mean square error of expected differences between the two systems by Ha and North (1994), which is applied to the Little Washita watershed using the soil moisture dynamics model developed by Entekhabi and Rodriguez-Iturbe (1994). The model parameters estimated by Yoo and Shin (1998) for the Washita '92 (relative) soil moisture data are used in this study. By considering about 20 pairs of ground- and space-based measurements (especially, for the same case as the Washita '92 that the space-based sensor visits the FOV once a day), the expected error was able to be reduced to approximately 10% of the standard deviation of the fluctuations of the system alone. This seems to be an acceptable level of tolerance for identifying biases in the retrieval algorithms.

Original languageEnglish
Pages (from-to)175-187
Number of pages13
JournalStochastic Environmental Research and Risk Assessment
Volume16
Issue number3
DOIs
Publication statusPublished - 2002 Dec 1
Externally publishedYes

Fingerprint

Soil Moisture
Soil moisture
soil moisture
Retrieval
sensor
Sensor
Sensors
Watersheds
Mean square error
Standard deviation
Gages
Tolerance
gauge
Dynamic models
Dynamic Model
Gauge
tolerance
watershed
Fluctuations
Necessary

Keywords

  • Ground-truth
  • Remote sensing
  • Sampling
  • Soil moisture

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science(all)
  • Environmental Chemistry
  • Environmental Engineering
  • Water Science and Technology
  • Statistics and Probability

Cite this

A ground validation problem of remotely sensed soil moisture data. / Yoo, Chulsang.

In: Stochastic Environmental Research and Risk Assessment, Vol. 16, No. 3, 01.12.2002, p. 175-187.

Research output: Contribution to journalArticle

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