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Ocean Remote
Sensing Group


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Ocean Remote Sensing Group Home Page
Home Page of the Ocean Remote Sensing Group (SRO)
of the Space Department of the
Johns Hopkins University / Applied Physics Laboratory


We provide daily sea surface temperature images for a number of areaa including the Gulf Stream, the Chesapeake Bay and a region relevant to the CBLAST Experiment. Anticipating that users may wish to pick off exact pixel positions from the images and associate them with latitude and longitude, we provide the following information. Please remember that the maximum image resolution is 1 km. The satellite navigation elements can be off by as much as 10 km. However, using TeraScan Software from SeaSpace, the images are correlated with land masks to provide more precise navigation. Nonetheless, a several kilometer error may still remain. The political boundaries provide a clue to the remaining navigation error.

The sea surface temperature images are stored in the GIF or PNG format. The figure below show the pixel indices for the entire image and the internal geographic area. The geographic area is linear in longitude and latitude.

Region x1 x2 x3 x4 y1 y2 y3 y4 latmin latmax lngmin lngmax
Gulf Stream 0 900 80 869 0 941 130 910 20 45 -85 -55
Chesapeake Bay 0 941 80 910 0 1361 130 1330 36.5 40 -77.5 -74.5
CBLAST 0 794 80 763 0 951 130 920 39 42.5 -72.5 68.5
Northern Gulf Stream 0 854 80 824 0 950 130 919 35 44 -76 -65
Southern Gulf Stream 0 899 80 869 0 854 130 824 27 36 -82 -70
Gulf of Mexico 0 1099 80 953 0 1079 130 923 16 31 -89 -80
Bahamas 0 899 80 807 0 868 130 776 19 28 -82 -70
StormWatch 0 1309 80 1279 0 1322 130 1292 30 55 -80 -45

               
       (x1,y2) _______________________________________ (x2,y2)
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               |  |(x3,y4)                (x4,y4)|   | 
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Whole Image -->|  |                              |   |
               |  |       SST Image              |   |
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               |  |______________________________|   |
               | (x3,y3)                     (x4,y3) |               
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               |_____________________________________|
              (x1,y1)                               (x2,y2)


Frank_Monaldo@jhuapl.edu