DIFFERENT METHODS FOR REMOTE SENSING DATA INTEGRATION

Abstract

Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on the analysis of the data of one satellite image. The technological revolution improved spatial, temporal and radiometric resolution of satellite images, which allowed time datasets analysis, combining (integrating) data from various sensors, combining images of different scales and better integration with existing data and models. The integration of data from different sources is becoming an increasingly important factor in numerous aspects of remote sensing, and the results of this technique are used in solving everyday problems.

Keywords

• remote sensing
• data integration
• data integration levels
• signal
• pixel
• features