Probability distribution of surface wave slope derived using sun glitter images from geostationary meteorological satellite and surface vector winds from scatterometers

Naoto Ebuchi, Shoichi Kizu

Research output: Contribution to conferencePaperpeer-review

Abstract

Probability distribution of the sea surface slope is estimated using sun glitter images derived from visible radiometer on Geostationary Meteorological Satellite (GMS) and surface vector winds observed by spaceborne scatterometers. This will allow to derive a more reliable probability density function under general conditions of wind and waves over the global oceans. Since the data is obtained under clear-sky conditions with a resolution of an order of 10 km, the results are to be directly applicable also to ocean color remote sensing.

Original languageEnglish
Pages1813-1815
Number of pages3
Publication statusPublished - 2002 Jan 1
Event2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada
Duration: 2002 Jun 242002 Jun 28

Other

Other2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
CountryCanada
CityToronto, Ont.
Period02/6/2402/6/28

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Probability distribution of surface wave slope derived using sun glitter images from geostationary meteorological satellite and surface vector winds from scatterometers'. Together they form a unique fingerprint.

Cite this