Preston J. Hartzell

TL;DR: The application of advanced remote sensing technologies, including terrestrial laser scanning (TLS), to the Earth sciences has increased rapidly in the last two decades, improving the spatial and temporal resolution of data as mentioned in this paper.

TL;DR: In both clear and turbid water, the CWT algorithm outperforms the other methods if only green LiDAR observations are available, but there is no single best full waveform processing algorithm for all bathymetric situations.

TL;DR: In this article, three radiometrically calibrated TLS systems with differing laser wavelengths were investigated using commercially available hardware and software, and the classification performance of the multispectral TLS intensity and calibrated reflectance datasets evaluated and compared to classification performed with passive visible wavelength imagery.

TL;DR: In this article, the authors describe the collection, geo-referencing, and data processing algorithms for a fully-automated, permanently deployed terrestrial lidar system for coastal monitoring.

TL;DR: In this article, the authors demonstrate the application of estimated TLS point errors to propagated snow volume uncertainties for a large and small terrestrial laser scanning (TLS) dataset, for a dataset generating a large snow volume, the method of surface representation (e.g. grid or triangulated mesh) was more influential than the estimated TLS-point errors on volume uncertainty.