Application of dynamic threshold in sea and lake ice mapping and monitoring

Rouzbeh Nazari, Reza Khanbilvardi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Ice detection and monitoring algorithms using visible and infrared images are generally founded on thresholds-based approaches. Classification of features over ice covered sea requires a series of reliable thresholds. The change in surface conditions throughout the season affects these thresholds and makes their adjustment necessary. This study proposes an operational method based on a set of dynamic thresholds for ice and water identification using data from a geostationary satellite. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat Second Generation (MSG) satellite data has been used. The proposed approach has been tested and validated over the Caspian Sea. Visible, near infrared and thermal infrared channels are being used to automatically create a cloud mask for a single image. The dynamic threshold is being developed to clarify the misclassification of ice and water pixels. The constant and dynamic thresholds have been used in comparison and applied to classification model. Dynamic threshold is used with reflectance channels R01 (0.6μ) and R02 (0.8 μ) and the near infrared channel R03 (1.6μ).

Original languageEnglish (US)
Pages (from-to)37-46
Number of pages10
JournalInternational Journal of Hydrology Science and Technology
Issue number1-2
StatePublished - 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Water Science and Technology
  • Waste Management and Disposal
  • Earth and Planetary Sciences (miscellaneous)


Dive into the research topics of 'Application of dynamic threshold in sea and lake ice mapping and monitoring'. Together they form a unique fingerprint.

Cite this