Model for estimating surface roughness of level and ridged sea ice using ERS-1 SAR

Author

Carlström, Anders ; Ulander, Lars M H ; Håkansson, Bertil

Author_Institution

Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden

Volume

1

fYear

1994

fDate

8-12 Aug 1994

Firstpage

168

Abstract

A comparison between backscatter models and measurements show that ERS-1 SAR backscatter from Baltic sea ice is highly dependent on the surface roughness of both level and ridged ice. A theoretical backscatter model for level ice and an empirical model for deformed ice are combined to cover the total range of roughness scales present. The inverse model may be used to estimate the ice surface roughness from ERS-1 SAR images during dry snow conditions. The deviation between the model estimate and the measured ice surface RMS height is approximately ±50%

Keywords

backscatter; electromagnetic wave scattering; inverse problems; oceanographic techniques; radar applications; radar cross-sections; remote sensing; remote sensing by radar; sea ice; spaceborne radar; surface topography measurement; synthetic aperture radar; Baltic Sea; ERS-1 SAR; backscatter model; deformed ice; dry snow conditions; empirical model; inverse problem; level ice; measurement technique; ocean sea surface; radar remote sensing; radar scattering; radiowave reflection; ridged sea ice; sea ice; surface roughness; synthetic aperture radar; theoretical backscatter model; Backscatter; Deformable models; Ice surface; Inverse problems; Rough surfaces; Sea ice; Sea measurements; Sea surface; Snow; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399070

Filename

399070