{"title":"Topographic Mapping of Farmland by Integration of Multiple Sensors on Board Low-Altitude Unmanned Aerial System","authors":"Mengmeng Du, Noboru Noguchi, Hiroshi Okamoto, Noriko Kobayashi","volume":131,"journal":"International Journal of Computer and Systems Engineering","pagesStart":1205,"pagesEnd":1210,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10008185","abstract":"
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.<\/p>\r\n","references":"[1]\tLevidow, L., Zaccaria, D., Maia, R., Vivas, E., Todorovic, M., and Scardigno, A., \u201cImproving water-efficient irrigation: Prospects and difficulties of innovative practices,\u201d Agricultural Water Management, Vol. 146, pp. 84-94, 2014.\r\n[2]\tRickman, J.F., \u201cManual for laser land leveling, Rice-Wheat Consortium Technical Bulletin Series 5,\u201d India: Rice-Wheat Consortium for the Indo-Gangetic Plains, pp. 24, 2002.\r\n[3]\tAgricultural Land Leveling. Available online: http:\/\/www.optisurface.com\/agricultural-land-leveling\/. Accessed on: 11\/09\/2017.\r\n[4]\tM. L. Jat, Parvesh Chandna, et al. 2006. Laser Land Leveling: A Precursor Technology for Resource Conservation. Rice-Wheat Consortium Technical Bulletin Series 7. New Delhi, India: Rice-Wheat Consortium for the Indo-Gangetic Plains. 48.\r\n[5]\tYongjian Li, Zuoxi Zhao, \u201cDesign of Attitude Measurement System for Flat Shovel of Laser-controlled Land Leveler for Paddy Field,\u201d Journal of Agricultural Mechanization Research, Vol. 2, pp. 69-75, 2012.\r\n[6]\tZebker, Howard A., and Richard M. Goldstein, \u201cTopographic mapping from interferometric synthetic aperture radar observations,\u201d Journal of Geophysical Research: Solid Earth, Vol. 91.B5, pp. 4993-4999, 1986.\r\n[7]\tRemondino F., \u201cHeritage recording and 3D modeling with photogrammetry and 3D scanning,\u201d Remote Sens, Vol. 3, pp. 1104\u20131138, 2011.\r\n[8]\tMoskal L. M., Zheng G., \u201cRetrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest,\u201d Remote Sens, Vol. 4, 1, 2012.\r\n[9]\tDu Mengmeng, and Noboru Noguchi, \u201cMonitoring of Wheat Growth Status and Mapping of Wheat Yield\u2019s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System,\u201d Remote Sensing, Vol. 9.3: 289, 2017.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 131, 2017"}