Multi-sensor analyses of vegetation indices in a semi-arid environment

Jérôme Théau, Temuulen Sankey, Keith Weber

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Multi-sensor comparisons are sometimes used due to limited image availability and temporal coverage by a single sensor. However, multi-sensor comparability is not well documented. Factors affecting direct comparability such as atmospheric conditions, landscape heterogeneity, landscape changes, and sensor characteristics are difficult to quantify. This study compared several vegetation indices (VIs) from multi-sensor data to determine if VIs are comparable across scales and sensors. Within-sensor comparisons demonstrate that VIs are consistent across spatial resolutions indicating a direct multi-scale comparability. However, among-sensor comparisons indicate that VIs calculated from different sensors are not comparable with one another regardless of spatial resolution. Sensor-specific characteristics appear to offer the best explanation for the observed results.

Original languageEnglish (US)
Pages (from-to)260-275
Number of pages16
JournalGIScience and Remote Sensing
Volume47
Issue number2
DOIs
StatePublished - Apr 1 2010
Externally publishedYes

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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