Four-Dimensional Histogram Method for Sea Ice Detection Using NOAA AVHRR Images

Koichi Kawano, Jun-Ichi Kudoh

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

In Far East Russia, the Sea of Okhotsk is covered by sea ice in winter every year. The Amur River plays the important role of generating sea ice. Sea ice goes south by the monsoon. We have developed four-dimensional histogram method for sea ice detection using NOAA AVHRR images. The data in February to March is used among for five years from 1995 to 1999. The data of 179 scenes is used among 699 scenes to create four-dimensional histogram. We applied the four-dimensional histogram to detect sea ice of the Sakhalin area. As a result of applying the presented method, thick ice was undetectable although thin ice was detectable. Since thin ice is generated by the continental area along the shore, it is effective in observation of this area. Moreover, in the detection result, clouds and sea ice were distinguishable. Furthermore, when comparison with the detection result by the oceanography researcher was performed, the domain detected by this method was in agreement with the detection result by the researcher. This is the next subject although it is necessary to increase the number of scenes in order to detect thick ice.

Original languageEnglish
Pages3459-3461
Number of pages3
Publication statusPublished - 2003 Nov 24
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 2003 Jul 212003 Jul 25

Other

Other2003 IGARSS: Learning From Earth's Shapes and Colours
CountryFrance
CityToulouse
Period03/7/2103/7/25

Keywords

  • Four-Dimentional Histogram
  • NOAA AVHRR
  • Sea Ice Detection

ASJC Scopus subject areas

  • Geology
  • Software

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