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74    Cha pte r  T w o


           Characteristics  JERS-1  ERS-1, 2  Radarsat-1, 2  EnviSat ASAR
           Satellite altitude   568  780      798           800
           (km)
           Orbital inclination  97.7°  98.52°  98.6°        98.54°
           Period (min)    94       100       100.7         100
           Return period   44       3–168     24            35
           (days)
           Frequency       1.3 GHz  5.3 GHz   5.3 GHz       5.3 GHz
           Spectral band   L        C         C (5.6 cm)    C
           Polarization    VV       HV        HH/quad       HH or VV
           Swath width (km)  75     102.5     100/20–500 ∗  Up to 100 km
           Spatial resolution   18  26/(6–30)  30/3–100     30
           (m)
          ∗ The figure for Radarsat-2 varies widely with beam mode and polarization.

          TABLE 2.33  Comparison of Major Characteristics among Common SAR Imagery



                   In general, ASAR data can be used for site-specific investigations.
               They provide measurements of the atmosphere, ocean, land, and ice,
               such as land use monitoring, potential forecasting of ocean circulation,
               and ultraviolet forecasting. It is also possible to monitor El Niño, the
               Gulf Stream, and the ozone layer above the Arctic in near real-time
               using EnviSat data.
                   Presented in Table 2.33 is a comparison of the radar images
               covered in this section.  According to this table, these data are
               extremely similar to one another in their frequency and swath width.
               As with all radar satellite data, their spatial resolution varies from
               along track to cross track. Moreover, the resolution is also subject to
               the incidence angle. So it matters little which image should be selected
               for a particular application or for a given geographic area so long as
               it is available for the study area at the right time.


          2.7  Conversion from Analog Materials
               Remote sensing materials (e.g., historic aerial photographs and
               satellite images) play a vital role in such image analyses as change
               detection. The difficulty with their use is that some of them may only
               exist in the printed form. Before they can be analyzed digitally, they
               have to be converted into the digital format first. A quick and efficient
               method of data conversion is via scanning. There are a vast range of
               scanners available at various precision levels. The most reliable
               scanners are photogrammetric, which enable the conversion to be
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