ABSTRACT
Remote-sensing data and applications have become an important part of the decision-making process within several US federal, state, and local agencies. Remote-sensing applications such as land use-land cover planning, natural resource management, and disaster management are common among these agencies. The requirements of remote-sensing data such as the spatial, temporal, and spectral resolution differ between applications (Kalluri et al., 2001). With the availability of remote-sensing data from government agencies and private companies around the world, users now have the ability to choose data that suit their specific requirements and budget from a variety of sensors and data providers.
