Explotación y Prospección de Minas
Department
Swansea University
Swansea, Reino UnidoPublications in collaboration with researchers from Swansea University (13)
2024
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3DFin: a software for automated 3D forest inventories from terrestrial point clouds
Forestry, Vol. 97, Núm. 4, pp. 479-496
2023
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3D Point Cloud Semantic Segmentation Through Functional Data Analysis
Journal of Agricultural, Biological, and Environmental Statistics
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Optimal bucking of stems from terrestrial laser scanning data to maximize forest value
Scandinavian Journal of Forest Research, Vol. 38, Núm. 3, pp. 174-188
2022
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AI applications in forest monitoring need remote sensing benchmark datasets
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
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Automatic Assessment of Individual Stem Shape Parameters in Forest Stands from TLS Point Clouds: Application in Pinus pinaster
Forests, Vol. 13, Núm. 3
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Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
Journal of Environmental Management, Vol. 321
2021
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A distance correlation approach for optimum multiscale selection in 3d point cloud classification
Mathematics, Vol. 9, Núm. 12
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An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster
GIScience and Remote Sensing, Vol. 58, Núm. 7, pp. 1130-1150
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Influence of the Number and Spatial Distribution of Ground Control Points in the Accuracy of UAV-SfM DEMs: An Approach Based on Generalized Additive Models
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Núm. 12, pp. 10618-10627
2020
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Assessing canopy responses to thinnings for sweet chestnut coppice with time-series vegetation indices derived from Landsat-8 and Sentinel-2 imagery
Remote Sensing, Vol. 12, Núm. 18
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Automatic delineation of forest patches in highly fragmented landscapes using coloured point clouds
Forests, Vol. 11, Núm. 2
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Estimating fuel loads and structural characteristics of shrub communities by using terrestrial laser scanning
Remote Sensing, Vol. 12, Núm. 22, pp. 1-21
2019
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Structure from Motion Photogrammetry in Forestry: a Review
Current Forestry Reports, Vol. 5, Núm. 3, pp. 155-168