TY - GEN
T1 - LIDAR SCAN MATCHING with PPP-RTK for 3D FARM MAPPING
AU - Nakagawa, Masafumi
AU - Yokoyama, Sayaka
AU - Ozeki, Tomohiro
AU - Kubo, Nobuaki
AU - Namie, Hiromune
AU - Yoshida, Masashi
AU - Iwaki, Yoshihiro
N1 - Publisher Copyright:
© ACRS 2021.All right reserved.
PY - 2021
Y1 - 2021
N2 - In various advanced agriculture activities called smart agriculture, we focus on three-dimensional measurements for farm mapping and machine control. We also focus on precise point positioning real-time kinematic systems, such as Global Navigation Satellite System (GNSS) positioning with submeter-level augmentation services (SLAS), centimeter-level augmentation services (CLAS), and multi-GNSS advanced demonstration tool for orbit and clock analysis (MADOCA) to improve the efficiency of precise positioning using the Quasi-Zenith Satellite System. In our study, we selected a farm as an experiment area to acquire point clouds and position data of cultivation works before sowing soybeans. We used a low-price light detection and ranging device with a multifrequency GNSS. Through our experiment, we evaluated the positioning performance of SLAS, CLAS, and MADOCA for point cloud acquisition. Moreover, we confirmed that our methodology can reconstruct point clouds from a tractor.
AB - In various advanced agriculture activities called smart agriculture, we focus on three-dimensional measurements for farm mapping and machine control. We also focus on precise point positioning real-time kinematic systems, such as Global Navigation Satellite System (GNSS) positioning with submeter-level augmentation services (SLAS), centimeter-level augmentation services (CLAS), and multi-GNSS advanced demonstration tool for orbit and clock analysis (MADOCA) to improve the efficiency of precise positioning using the Quasi-Zenith Satellite System. In our study, we selected a farm as an experiment area to acquire point clouds and position data of cultivation works before sowing soybeans. We used a low-price light detection and ranging device with a multifrequency GNSS. Through our experiment, we evaluated the positioning performance of SLAS, CLAS, and MADOCA for point cloud acquisition. Moreover, we confirmed that our methodology can reconstruct point clouds from a tractor.
KW - Mobile mapping
KW - Multilayer LiDAR
KW - PPP-RTK
KW - Scan matching
KW - Smart agriculture
UR - http://www.scopus.com/inward/record.url?scp=85127397467&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127397467&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85127397467
T3 - 42nd Asian Conference on Remote Sensing, ACRS 2021
BT - 42nd Asian Conference on Remote Sensing, ACRS 2021
PB - Asian Association on Remote Sensing
T2 - 42nd Asian Conference on Remote Sensing, ACRS 2021
Y2 - 22 November 2021 through 26 November 2021
ER -