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Leveraging moisture elimination and hybrid deep learning models for soil organic carbon mapping with multi-modal remote sensing data
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Estimating branch angle distributions from terrestrial laser scanning data using an instance segmentation-based contraction method
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Temperature and water limitation exhibit divergent controls on grassland greening across global aridity gradients
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A vector-based coastline shape classification approach using sequential deep learning model
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Improving semantic segmentation accuracy in thin cloud interference scenarios by mixing simulated cloud-covered samples
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Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models
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Reduced model complexity for efficient characterisation of savanna woodland structure using terrestrial laser scanning
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Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds
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Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees
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Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data