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ROADSIDE FOREST MODELING USING DASHCAM VIDEOS AND CONVOLUTIONAL NEURAL NETS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Tree failure is a primary cause of storm-related power outages throughout the United States. Roadside vegetation management is therefore critical to electric utility companies to prevent power outages during extreme weather conditions. It is difficult to execute roadside vegetation management practices, at the landscape level, without proper monitoring of roadside forests' physical structure and health condition. Remote sensing images and LiDAR are widely used to characterize thedoi:10.5194/isprs-archives-xlvi-m-2-2022-135-2022 fatcat:dlme7uvvkfby5dapjnhpntbwbu