Spectral vegetation indices and uncertainty

Insights from a user's perspective

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The primary objectives of this response communication are to provide insight into the use of spectral vegetation indices (SVIs) and a user's perspective on the uncertainty in SVI values, especially when these are derived from multiple sensors. We review how two papers in this special issue address uncertainty, and we explore two practical applications of SVI products and how comprehensive quantification and spatially explicit visualization of uncertainty could enhance their use. Although researchers identify the causes of uncertainties in SVIs, there has been little advancement in connecting and integrating the associated uncertainties inherent to all steps of the processing and model chains (e.g., data capture, data input and SVI generation). Cross-comparison of uncertainty assessment is challenging to the end-product user because reporting of uncertainty tends to be research or data product-specific with limited emphasis on facilitating the interpretation of uncertainty associated with algorithm and processing quality for use by managers or decision makers. Consequently, the confidence in these data is often based on experience and visual confirmation of the spatial and temporal consistency in SVI imagery and time-series data. Although the level of accuracy required varies depending on use, overall product quality assurance and a comprehensive, site-specific uncertainty assessment bundled with SVI data fields could mean the difference between using SVIs to report on spatial-temporal patterns versus using these data to make natural resource management decisions.

Original languageEnglish (US)
Article number1645293
Pages (from-to)1931-1933
Number of pages3
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume44
Issue number7
DOIs
StatePublished - Jul 2006

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vegetation index
vegetation
products
resources management
Natural resources management
data products
Uncertainty
assurance
imagery
Processing
Quality assurance
visualization
confidence
resource management
natural resource
Time series
communication
Data acquisition
Managers
time series

Keywords

  • Remote sensing
  • Uncertainty
  • Vegetation

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Computers in Earth Sciences
  • Electrical and Electronic Engineering

Cite this

Spectral vegetation indices and uncertainty : Insights from a user's perspective. / van Leeuwen, Willem; Orr, Barron J.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 1645293, 07.2006, p. 1931-1933.

Research output: Contribution to journalArticle

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