English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Validation of a new empirical SAR algorithum

Song, G., Lehner, S., Schulz-Stellenfleth, J., Breit, H., & Grassl, H. (2007). Validation of a new empirical SAR algorithum. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Sensing and understanding our planet (pp. 3289-3292). New York: IEEE.

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files
hide Files
:
Validation_of_a_new_empirical_SAR_algorithum.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
Validation_of_a_new_empirical_SAR_algorithum.pdf
Description:
-
OA-Status:
Visibility:
Restricted ( Max Planck Society (every institute); )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Song, Guiting1, Author
Lehner, Susanne1, Author
Schulz-Stellenfleth, Johannes1, Author
Breit, Helko1, Author
Grassl, Hartmut2, Author           
Affiliations:
1external, ou_persistent22              
2MPI for Meteorology, Max Planck Society, ou_913545              

Content

show
hide
Free keywords: WINDEngineering; Geology; Remote Sensing; SAR; wave height; wind speed; algorithm;
 Abstract: A new empirical algorithm-CWAVE [1] was developed at the German Aerospace Center (DLR). A global dataset of two years (September 1998 to December 2000) of ERS SAR data was reprocessed to more than one million SAR imagettes. Met ocean Parameters like significant ocean wave height (H-s) wind speed (U-10) and mean wave period (Tm-10) are derived from the SAR images using the CWAVE algorithm [1]. The results are compared to collocated ERS altimeter data and in Situ measurements from NOAA buoys and observations taken onboard the vessel Polarstern.
It is shown that the SAR derived H, is comparable in quality to altimeter measurements and can thus be used for real time assimilation.

Details

show
hide
Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

Event

show
hide
Title: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Event: Barcelona, SPAIN
Start-/End Date: 2007-07-23 - 2007-07-27

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Sensing and understanding our planet
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3289 - 3292 Identifier: ISSN: 2153-6996
ISBN: 978-1-4244-1211-2