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

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

SCI - Geophysics

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	1813-1815
Number of pages	3
Publication status	Published - 2002 Jan 1
Event	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Duration: 2002 Jun 24 → 2002 Jun 28

Other

Other	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Country	Canada
City	Toronto, Ont.
Period	02/6/24 → 02/6/28

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

Probability distribution of surface wave slope derived using sun glitter images from geostationary meteorological satellite and surface vector winds from scatterometers. / Ebuchi, Naoto; Kizu, Shoichi.

2002. 1813-1815 Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada.

Research output: Contribution to conference › Paper › peer-review

@conference{d4a4211064a946e280b0531f68db351f,

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

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.",

author = "Naoto Ebuchi and Shoichi Kizu",

year = "2002",

month = jan,

day = "1",

language = "English",

pages = "1813--1815",

note = "2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) ; Conference date: 24-06-2002 Through 28-06-2002",

}

TY - CONF

T1 - Probability distribution of surface wave slope derived using sun glitter images from geostationary meteorological satellite and surface vector winds from scatterometers

AU - Ebuchi, Naoto

AU - Kizu, Shoichi

PY - 2002/1/1

Y1 - 2002/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0036399124&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036399124&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0036399124

SP - 1813

EP - 1815

T2 - 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)

Y2 - 24 June 2002 through 28 June 2002

ER -