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Researchers with UCSD Scripps Institution of Oceanography are finding success in bluff erosion forecasting tools, with hopes to expand laser-imaging technology
The application of diffusion theory and Monte Carlo lidar radiative transfer simulations presented in Part I of this series of study suggests that snow depth can be derived from the first-, second- and third-order moments of the lidar backscattering pathlength distribution. These methods are now applied to the satellite ICESat-2 lidar measurements over the Arctic sea ice and land surfaces of Northern Hemisphere. Over the Arctic sea ice, the ICESat-2 retrieved snow depths agree well with co-located IceBridge snow radar measured values with a root-mean-square (RMS) difference of 7.8 cm or 29.2% ...
Today, the U.S. Patent and Trademark Office officially published a series of Project Titan patents or Apple Inc. Two of the key patents cover LiDAR (also Lidar) systems. The first patent covers predicting Lidar data using machine learning which is currently being used in Apple's autonomous training vehicles. The second patent covers enabling LiDAR detection...