Volume IV-2/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 219-225, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-219-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 219-225, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-219-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

A GROUND-BASED LIDAR AND IMAGING SPECTROMETER SYNCHRONOUS EXPERIMENT ON VEGETATION

T. Hong, X. Luo, H. Chen, and J. Hui T. Hong et al.
  • School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731 Sichuan, China

Keywords: LiDAR, Imaging Spectrometer, Ground-Based Observation, Vegetation Canopy Structure, Point Cloud Data

Abstract. Extraction of vegetation canopy structure parameters is of great significance for researching global ecosystem and environment. Focused on the effective synergy between active and passive sensors, we carried out some ground-based observations about different vegetation on different terrains. In different experimental sites, a light detection and ranging (LiDAR) data and an imaging spectrum data of typical vegetation were collected from different directions and angles. Meanwhile, a variety of canopy structure parameters, including plant height, crown breadth, leaf area index, etc, were measured. The whole observed results form a comprehensive ground synchronous data set corresponding to flight data and provide data support for development and validation of synergic retrieval methods of vegetation canopy structure parameters. Our specific experimental objectives and design are introduced, including the selection of sampling plots, arrangement of observation stations, acquisition of active and passive data, and measurement of auxiliary data. The processing and practical applications of those obtained synchronous data are also discussed. Finally, our experimental experience is summarized and it is a valuable reference for remote sensing researchers.