Sea surface velocities from visible and infrared multispectral atmospheric mapping sensor (MAMS) imagery

High resolution (100 m), sequential multispectral atmospheric mapping sensor (MAMS) images were used to calculate sea surface velocities from the advection of visible and thermal surface features using maximum cross correlation (MCC) and subjective techniques. The visible gradient image velocities agreed well with the subjective motion, while the infrared channel performed best without computing gradients. >

[1]  M. Kamachi.  Advective surface velocities derived from sequential images for rotational flow field: Limitations and applications of maximum cross-correlation method with rotational registration , 1989 .

[2]  J. Leese,et al.  An Automated Technique for Obtaining Cloud Motion from Geosynchronous Satellite Data Using Cross Correlation , 1971 .

[3]  Robin Tokmakian,et al.  Evaluation of the maximum cross-correlation method of estimating sea surface velocities from sequential satellite images , 1990 .

[4]  Andrew C. Vastano,et al.  Sea Surface Flow Estimation with Infrared and Visible Imagery , 1985 .

[5]  I. Robinson,et al.  Sea surface velocities in shallow seas extracted from sequential coastal zone color scanner satellite data , 1989 .

[6]  W. Paul Menzel,et al.  Improved capabilities of the Multispectral Atmospheric Mapping Sensor (MAMS) , 1989 .

[7]  W. Emery,et al.  An objective method for computing advective surface velocities from sequential infrared satellite images , 1986 .

[8]  James J. Simpson,et al.  Physical processes affecting the objective determination of near‐surface velocity from satellite data , 1990 .

[9]  William J. Emery,et al.  Fram Strait satellite image‐derived ice motions , 1991 .

[10]  William J. Emery,et al.  On the bulk‐skin temperature difference and its impact on satellite remote sensing of sea surface temperature , 1990 .

[11]  William J. Emery,et al.  Automated extraction of pack ice motion from advanced very high resolution radiometer imagery , 1986 .

[12]  J. Svejkovsky.  Sea surface flow estimation from advanced very high resolution radiometer and coastal zone color scanner satellite imagery: A verification study , 1988 .