Search results
Results: 11
Number of items: 11
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Wang, J., Cornelissen, P., & Kissling, W. D. (2025). A workflow for extracting ungulate trails in wetlands using 3D point clouds obtained from airborne laser scanning. Frontiers in Remote Sensing, 6, Article 1599128. https://doi.org/10.3389/frsen.2025.1599128 -
Jiang, J., Shen, Y., Wang, J., Wang, J., Zhang, C., Wang, J., & Ferreira, V. (2025). GEPT-Net: An efficient geometry enhanced point transformer for shield tunnel leakage segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 221, 20-43. https://doi.org/10.1016/j.isprsjprs.2025.01.032 -
Kissling, W. D., Mulder, W., Wang, J., & Shi, Y. (2025). Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sites. Data in Brief, 60, Article 111548. https://doi.org/10.1016/j.dib.2025.111548 -
Jiang, J., Shen, Y., Wang, J., Zang, Y., Wu, W., Wang, J., Li, J., & Ferreira, V. (2025). Boosted bagging: A hybrid ensemble deep learning framework for point cloud semantic segmentation of shield tunnel leakage. Tunnelling and Underground Space Technology, 164, Article 106842. https://doi.org/10.1016/j.tust.2025.106842 -
Fan, G., Xu, L., Wang, R., Zhao, H., Lu, H., Wang, J., Wang, D., Chen, F., & Nan, L. (2025). AdLeaf: Quantitative Leaf Reconstruction From TLS Point Clouds. IEEE Transactions on geoscience and remote sensing, 63, Article 4418718. https://doi.org/10.1109/TGRS.2025.3608325 -
Shi, Y., Wang, J., & Kissling, W. D. (2025). Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands. Earth System Science Data, 17(7), 3641-3677. https://doi.org/10.5194/essd-17-3641-2025 -
Wang, J., Shi, Y., & Kissling, D. (2024, July 19). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12783696
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Wang, J., Shi, Y., & Kissling, D. (2024, September 2). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13628041
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Wang, J., Kissling, D., & Shi, Y. (2024, August 30). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13619388
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Kissling, W. D., Shi, Y., Wang, J., Walicka, A., George, C., Moeslund, J. E., & Gerard, F. (2024). Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles. Ecological Indicators, 169, Article 112970. https://doi.org/10.1016/j.ecolind.2024.112970
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