Page 52 - Digital Analysis of Remotely Sensed Imagery
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CHAPTER 2






                                  Overview of Remotely


                                                  Sensed Data







                   n the late 1960s, meteorological satellite data with a coarse
                   spatial resolution from instruments such as the Advanced Very
               IHigh Resolution Radiometer (AVHRR) from the National
               Oceanographic and  Atmospheric  Administration (NOAA) came
               into existence for the first time in history. These data, initially designed
               chiefly for the purpose of studying weather conditions, were not
               accompanied by wide practice of digital image analysis in the remote
               sensing community, due probably to the fledgling state of computing
               technology back then. In the early 1970s, the Landsat program was
               initiated to acquire satellite data for the exclusive purpose of natural
               resources monitoring and mapping. Since then tremendous progress
               has been made in remote sensing data acquisition, with tens of
               satellites launched. The advance in our data acquisition capacity is
               attributed largely to the progress in rocket technology and sensor
               design. Consequently, a wide range of satellite data has become
               available at a drastically reduced price. Over the years the spatial and
               spectral resolutions of these data have been improved. Satellite data
               of a finer spatial resolution have opened up new fields of applications
               that were not possible with data of a poor spatial or spectral resolution
               before. In addition to multispectral data, it is possible to obtain
               satellite data in hundreds of spectral bands. These remotely sensed
               data with improved viewing capabilities and improved resolution
               have not only opened up new areas of successful applications, but
               also created specific fields in digital image analysis.
                   In this chapter, these satellite data are comprehensively reviewed in
               terms of their critical properties and main areas of application. All the
               satellite data, including meteorological, oceanographic, natural
               resources, and even radar, will be covered in this overview. Both
               multispectral and hyperspectral data are included in this review. In
               addition, this chapter also identifies recently emerged trends in satellite
               data acquisition, including the acquisition from airborne platforms.
               This identification is followed by a discussion on how to convert existent
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