By D. Glackin, G. Peltzer
During this monograph, the authors hint the evolution of distant sensing satellites and their tools and geospatial facts processing, rfile the cutting-edge, and current key traits rising for the following decade. The authors emphasize the expanding commercialization and overseas growth of the sector, fairly within the box of imaging satellites and using geographic details platforms to make distant sensing information extra accessible.
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Additional info for Civil, Commercial, and International Remote Sensing Systems and Geoprocessing
In addition, several microsats focused on technology transition are and will be flying. 2 High-Resolution Commercial Systems As the commercial benefits of the high-resolution "l-m" systems begin to be widely known, the international proliferation of such systems may occur. These systems will improve a host of applications, including mapping, urban planning, disaster assessment for insurance companies, pipeline/power line monitoring, communications equipment siting, news reporting, and real estate.
Present systems tend to be designed to serve multiple user communities. In the future, an increasing mix of systems aimed at specific applications areas and user communities is expected. Examples include ocean color (OrbView-2/SeaStar), precision farming (Resource21 and GEROS), fire monitoring (FIRES), mining (ARIES), and the high-resolution market (lkonos, QuickBird, OrbView, and EROS). Systems designed for geographically regional studies include Brazil (SSR), South Korea (KOMPSAT), Taiwan (ROCSAT), and the Mediterranean (COSMO/Skymed and COALAS).
The fish tend to congregate along the boundaries of these regions, swimming into the cold-water regions to feed. During the 1980-1995 period, the only source of ocean color imagery was the coastal zone color scanner (CZCS) instrument on NASA's Nimbus-7 scientific satellite. When this instrument failed, there was a decade-long gap with no spaceborne ocean color imagery. Then in 1996, ocean color imagers were launched by India on IRS-P3, by Japan on ADEOS-l, and by Russia on the MirPriroda module (Fig.
Civil, Commercial, and International Remote Sensing Systems and Geoprocessing by D. Glackin, G. Peltzer