Title :
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
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;
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
DOI :
10.1109/IGARSS.1994.399070
