The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1027–1031, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1027-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1027–1031, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1027-2019

  05 Jun 2019

05 Jun 2019

INTEGRATION OF A LOW-COST MULTISENSORY UAV SYSTEM FOR FOREST APPLICATION

J. Li1, B. Yang1, Y. Cong1, S. Li1, and Y. Yue2 J. Li et al.
  • 1State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, No. 129, Luoyu Road, Wuhan, China
  • 2School of Resource and Environmental Science, Wuhan University, No. 129, Luoyu Road, Wuhan, China

Keywords: Low-cost, Multi-sensor, UAV, Mobile mapping, Forest applications

Abstract. To integrate the multi-spectral imagery and laser scanning data for forest management, a low-cost multisensory UAV system, named Kylin Cloud, is introduced in this paper. The Kylin Cloud is composed several low-cost sensors (i.e., GNSS receiver, IMU, global shutter camera, multispectral camera, and laser scanner), providing the fusion of the imagery and laser scanning data for reliable forest inventory. Experiments were undertaken in a forest park in Wuhan. Results showed that the registration error of the multispectral Digital Orthophoto Map (DOM) and laser scanning data is about one pixel, demonstrating a high potential of the proposed low-cost system.