Publications
A brief introduction of articles, presentations or talks.
Paper - A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting
Applied Segnet method to count the number of sogrhum panicles.
December 2019
Paper - Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures
We all know there is information contained in the waveform, how can we extract these information and improved the exsiting applications? The following is an example of the combination of advacned statistcial methods such as Bayesian and Machine learning methods with the waveform signatures for tree species identification using waveform lidar data.
November 2019
Paper - waveformlidar: An R Package for Waveform LiDAR Processing and Analysis
The brief introduction of waveformlidar package and the specific usages and corresponding logic.Examples of how to use them can be found in https://github.com/tankwin08/waveformlidar/tree/master/vignettes
October 2019
Paper - Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data
An example of using ICESat-2 data to estimate the biomass of forest over a regional scale.
January 2019
Paper - Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data
An example of combining ICESat-2 data with landsat to estimate the biomass and forest cover of forest over a regional scale.
January 2019
Paper - From LiDARWaveforms to Hyper Point Clouds: A Novel Data Product to Characterize Vegetation Structure
A new way to visualiza and analyze waveform lidar by converting them into the traditional lidar format (point cloud).
December 2018
Paper - Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data
This study is mainly to demonstrat how to process ATL03 data of ICESat-2 to ATL08 data using the adaptive framework. (1) An adaptive methodological framework was developed to process upcoming ICESat-2 data. (2) Basic algorithms for ground and canopy photon classification with ICESat-2-like data. (3) Terrain and canopy height measurements with MABEL and simulated ICESat-2 data.
February 2018
Paper - Detecting and Quantifying Standing Dead Tree Structural Loss with Reconstructed Tree Models Using Voxelized Terrestrial Lidar Data
To detect the biomass and volume chnage of dead tree based on the multi-temporal terrestrial lidar scans using the reconstructed tree models and voxelization
January 2018
Paper - Bayesian decomposition of full waveform LiDAR data with uncertainty analysis
To better understand the uncertainty of our waveform processing, a Bayesian method was introduced to assess different methods' performance for waveform lidar processing. The methods have been summarized into an R package named wavefromlidar which is available in CRAN https://github.com/tankwin08/waveformlidar.
August 2017
Paper - Gold-A novel deconvolution algorithm with optimization for waveform LiDAR processing
This paper introduced a novel way to process full waveformlidar data and compared it with exisiting methods such as decompostion and RL deconvolution methods to further show the advantages of new method. These methods have been summarized into an R package named wavefromlidar which is available in CRAN https://github.com/tankwin08/waveformlidar.
April 2017
