tailieunhanh - Geoscience and Remote Sensing, New Achievements Part 7

Tham khảo tài liệu 'geoscience and remote sensing, new achievements part 7', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 12 Highly accurate geometric correction for NOAA AVHRR data An Ngoc Van Institute of Industrial Science University of Tokyo Japan Mitsuru Nakazawa and Yoshimitsu Aoki Graduate School of Science and Technology Keio University Japan 1. Introduction Since 1970 AVHRR Advanced Very High Resolution Radiometer on board the NOAA National Oceanic and Atmospheric Administration series of satellites has been an ideal observatory for daily global observation of the Earth. NOAA AVHRR data provides very useful information about ecosystems climate weather and water from all over the world. It is also widely used for land cover monitoring at global and continental scales. NOAA AVHRR data are presented in the image coordinate system. Frequently however information extracted from AVHRR data is integrated with map data or given to consumers in a map-like form. Therefore it is necessary to transform NOAA AVHRR data from the image coordinate system into the map coordinate system. In those applications using NOAA AVHRR data geometric correction with high accuracy plays a very important role to ensure that NOAA AVHRR data is precisely transformed from one coordinate system to another. Some geometric correction methods for NOAA AVHRR data or NOAA images have been proposed. The most popular methods can be divided into two types orbital geometry model and transformation based on ground control points GCPs . In the former the knowledge about the characteristics of the satellite is used to build a physical model that defines the sources of error and the direction as well as the magnitude of their effects. However this type of method is based on only nominal parameters. It takes into account only selected factors that cause geometric distortion. Variations in the altitude or attitude of the satellite are not considered because the information needed to correct caused by these variations is not generally available Mather 2004 . The latter looks at the problem from the opposite of view. Rather .