Nonparametric detection of cloudy pixels in a VHRR NDVI data

Valentine G. Anantharaj, Nicolas H. Younan, Roger L. King

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Two non-parametric detectors, based on the Sign Test and the Wilcoxon Signed Rank Test, were applied to 10-day composites of Normalized Difference Vegetation Index (NDVI) data to detect cloud contaminated pixels. The performances of these detectors were found to be no better than a detector based on randomly chosen thresholds. The detector thresholds need to account for the climatologically induced biases in the data for each region and time period every year.

Original languageEnglish
Pages1037-1040
Number of pages4
StatePublished - 2004
Externally publishedYes
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: Sep 20 2004Sep 24 2004

Conference

Conference2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Country/TerritoryUnited States
CityAnchorage, AK
Period09/20/0409/24/04

Keywords

  • AVHRR
  • Clouds
  • NDVI
  • Nonparameteric detection
  • Signed rank
  • Vegetation
  • Wilcoxon

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