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Advances in LiDAR Data Processing: From Waveform to Photon Counting LiDAR

November 02, 2017
3:00 pm - 4:00 pm

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Tan Zhou
Department of Ecosystem Science and Management, Texas A&M University

Graduate Student

Abstract

Full waveform (FW) and photon counting LiDAR (PCL) data have garnered greater attention due to increasing data availability, a wealth of information they contain, and promising prospects for large scale vegetation mapping. However, many factors such as complex processing steps and scarce non-proprietary tools preclude extensive and practical uses of these data for vegetation characterization. In addition, a thorough understanding of uncertainty related to FW LiDAR data processing and applications is also urgently needed. Therefore, the overall goal of the research is to develop algorithms for FW and PCL data processing to explore their potential in real-world applications such as tree species identification and to quantify the uncertainty of model building, data processing, and applications steps.

Biography

Tan Zhou is a Ph.D. candidate in the Dept. of Ecosystem Science and Management at Texas A&M University, College Station, TX. He obtained his Master of Science from the Beijing Normal University, with a specialization of GIS and remote sensing. His main areas of research interest focus on the algorithm development for waveform LiDAR data and upcoming ICESat-2 data, and their potential applications in forest structure characterization and biomass mapping, using machine learning methods, such as random forest and Bayesian method. He has taught undergraduate and graduate courses in GIS and remote sensing as a teaching assistant over the past few years.

Contact

Dr. Michael Bishop: michael.bishop@tamu.edu

Details

Date:
November 2, 2017
Time:
3:00 pm - 4:00 pm

Venue

Eller O&M Bldg. Rm 807