Mengmeng Du and Noboru Noguchi and Hiroshi Okamoto and Noriko Kobayashi
Topographic Mapping of Farmland by Integration of Multiple Sensors on Board LowAltitude Unmanned Aerial System
1205 - 1209
2017
11
11
International Journal of Computer and Systems Engineering
https://publications.waset.org/pdf/10008185
https://publications.waset.org/vol/131
World Academy of Science, Engineering and Technology
This paper introduced a topographic mapping system with timesaving 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 lowaltitude Unmanned Aerial Vehicle (UAV) as a platform to conduct land survey in a lowcost, efficient, and totally autonomous manner. An experiment in a smallscale 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.
Open Science Index 131, 2017