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The DeepForMaP project utilizes point clouds from LiDAR mapping and advanced deep learning techniques to monitor forest patterns over time. By addressing challenges in processing unstructured data, it aims to improve forest classification and change detection, ultimately enhancing forest management and preservation eff…
Over the last decade, the Earth has witnessed significant climate change and global warming, largely as consequences of rapid industrial development.
To combat this, the management and preservation of forests have become increasingly essential, given their homeostatic role in regulating the global climate.
Point clouds (PCs) obtained from LiDAR mapping offer vast amounts of data, which have proven invaluable for forest mapping.
In our research, DeepForMaP, we leverage PC data and utilise advance…
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