Title :
Ice edge detection and ice/water classification utilizing the ERS-1 and TOPEX altimeters
Author :
Coulter, Robert E.
Author_Institution :
Dept. for Modeling & Tech., Stennis Space Center, MS, USA
Abstract :
The Naval Oceanographic Office Altimetry Data Fusion Center (ADFC) has a requirement to provide daily ice edge positions to the Navy/National Oceanic and Atmospheric Administration National Ice Center in Suitland, Maryland. These positions were provided operationally in 1987-88 during the GEOSAT mission. The GEOSAT altimeter-derived ice edge positions were based on an index of the ratio of two engineering parameters which are not available in either the ERS-1 Altimeter Fast Delivery Product or the TOPEX/POSEIDON data received by the ADFC. Therefore, algorithms had to be developed based on the parameters that were available, including wind speed, significant wave height, peakiness, and off-nadir pointing. Since there are advantages and disadvantages to using each of these parameters for ice detection, the algorithms employ a multiple parameter approach. Results of validation studies in which the altimeter-derived ice products were coupled to imagery show that the currently operating radar altimeters can be exploited for operational ice edge mapping.
Keywords :
edge detection; image classification; oceanographic techniques; radar applications; radar imaging; remote sensing by radar; sea ice; spaceborne radar; ADFC; Altimetry Data Fusion Center; ERS-1; Naval Oceanographic Office; TOPEX; ice water classification; image processing; imagery; measurement technique; multiple parameter approach; ocean; operational mapping; position; radar altimetry method; radar imaging; radar remote sensing; sea ice edge detection; signal processing; spaceborne radar; Altimetry; Atmospheric modeling; Data engineering; Ice; Image edge detection; Orbits; Radar detection; Radar imaging; Satellites; Wind speed;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399393