TY - JFULL AU - Mengmeng Du and Noboru Noguchi and Hiroshi Okamoto and Noriko Kobayashi PY - 2017/12/ TI - Topographic Mapping of Farmland by Integration of Multiple Sensors on Board Low-Altitude Unmanned Aerial System T2 - International Journal of Computer and Systems Engineering SP - 1204 EP - 1209 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10008185 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 131, 2017 N2 - This paper introduced a topographic mapping system with time-saving and simplicity advantages based on integration of Light Detection and Ranging (LiDAR) data and Post Processing Kinematic Global Positioning System (PPK GPS) data. This topographic mapping system used a low-altitude Unmanned Aerial Vehicle (UAV) as a platform to conduct land survey in a low-cost, efficient, and totally autonomous manner. An experiment in a small-scale sugarcane farmland was conducted in Queensland, Australia. Subsequently, we synchronized LiDAR distance measurements that were corrected by using attitude information from gyroscope with PPK GPS coordinates for generation of precision topographic maps, which could be further utilized for such applications like precise land leveling and drainage management. The results indicated that LiDAR distance measurements and PPK GPS altitude reached good accuracy of less than 0.015 m. ER -