Classification and gradation rule for remote sensing satellite data products

Abstract

Remote sensing information products utilizing the multi-source, multi-scale, multi-temporal, multi-type remote sensing satellite data and ground observation data become important research topics. The various classification and gradation rules of data products from different remote sensing satellites in different countries have difficulty in meeting the requirements of the integration of multi-source and multi-type geographic information. The main products series as well as the classification and gradation rules for both domestic and abroad usage were investigated in this paper. A new classification and gradation rule for remote sensing satellite data products in China was provided following the principles of efficiency, science, integrality compatibility, maneuverability, and extendibility. The classification rule was based on the spectral character and data acquisition method, whereas the gradation rule was based on the processing level of remote satellite data. The uniform classification and gradation rule was built. The rule could keep up with the correlative international standards that is still on progress.The rule included major remote sensing satellite data products at present and could conveniently build a mapping mechanism with other classification and gradation rules. Its scalability can meet the requirements of classification and gradation for new products in the future. The rule provided the basis for research on the indicator system of classification and gradation and for the development of correlative national standards.