文献类型：会议论文

英文题名：SIMULATION AND SIGNAL DETECTION OF PHOTON COUNTING LIDAR DATA IN FORESTED AREA

作者：Chen, Bowei[1] Pang, Yong[1] Li, Zengyuan[1] North, P. R. J.[2] Rosette, J. A. B.[2] Bye, I. J.[2] Lu, Hao[3] Liu, Liuxia[4] Ma, Zhenyu[1]

第一作者：Chen, Bowei

通信作者：Pang, Y[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, 2 Dongxiaofu, Beijing 100091, Peoples R China;[2]Swansea Univ, Dept Geog, Global Environm Modelling & Earth Observat GEMEO, Swansea SA2 8PP, W Glam, Wales;[3]Beijing Forestry Univ, Coll Informat Sci & Technol, Beijing 100083, Peoples R China;[4]Anhui Agr Univ, Sch Forestry & Landscape Architecture, Hefei 230036, Anhui, Peoples R China

会议论文集：38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 22-27, 2018

会议地点：Valencia, SPAIN

语种：英文

外文关键词：Photon counting Lidar; FLIGHT; simulation; signal detection

年份：2018

摘要：The future ICESat-2 is the next generation of NASA's ICESat (Ice, Cloud and land Elevation Satellite) mission scheduled to be launched in 2018. The new photon counting Lidar onboard ICESat-2 introduced new challenges to the estimation of forest parameters and its dynamics, the largest being the abundant photon noise in the atmosphere and below the ground. In order to investigate the potentials for vegetation study, this paper simulated this photon counting Lidar data using the Forest Light (FLIGHT) radiative transfer model and introduce a signal detection algorithm based on a LOFe indicator. The simulation results we produced for homogeneous and heterogeneous forest showed good similarity and the noise distribution. The result of signal detection we implemented demonstrated a higher accuracy than the circle distance search method. Future works will consider simulating more sensors combined with the field data to give a more quantitative analysis and testing the algorithm to other data with different noise levels.