2024

• Agca, M. Yucel, A. Kaya, E. , etal.
  (2024). Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data. Earth Science Informatics, https://doi.org/10.1007/s12145-024-01429-w.
• Cheng, F. Yang, R. Wu, J.
  (2024). Integrating Active and Passive Remote Sensing Data for Forest Age Estimation in Shangri-La City, China. Forests, 15 (9), https://doi.org/10.3390/f15091622.
• Doyog, N.D. Lin, C. Liu, K.-H.
  (2024). Integrating Sentinel-1&2 and Icesat-2 Data for Forest Canopy Height Estimation and Mapping. IGARSS 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, https://doi.org/10.1109/IGARSS53475.2024.10640956.
• Eidam, E.F. Bisson, K. Wang, C. Walker, C. Gibbons, A.
  (2024). ICESat-2 and ocean particulates: A roadmap for calculating Kd from space-based lidar photon profiles. Remote Sensing of Environment, 311, https://doi.org/10.1016/j.rse.2024.114222.
• Franze, S.E. Andersen, O.B. Nilsson, B. Nielsen, K.
  (2024). Lake gravity anomalies from ICESat-2 laser altimetry and geodetic radar altimetry. Advances in Space Research, https://doi.org/10.1016/j.asr.2024.08.053.
• Hong, Z. , etal.
  (2024). Highly Applicable Iterative Network for 3D Reconstruction Based on Multi-View Satellite Images. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, https://doi.org/10.1109/JSTARS.2024.3397670.
• Kossieris, S. Tsiakos, V. Tsimiklis, G. Amditis, A.
  (2024). Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances Future Opportunities. Remote Sensing, 16 (7), https://doi.org/10.3390/rs16071181.
• Lee, H. Hahn, M.
  (2024). ICESat-2 Data Application for DEM Bias Compensation Based on Point-to-Surface Matching. IEEE Transactions on Geoscience Remote Sensing, 62, https://doi.org/10.1109/TGRS.2024.3396292.
• Leite, R.V. Amaral, C. Neigh, C.S.R. Cosenza, D.N. Klauberg, C. Hudak, A.T. Aragão, L. Morton, D.C. Coffield, S. McCabe, T. Silva, C.A.
  (2024). Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management. Remote Sensing in Ecology Conservation, https://doi.org/10.1002/rse2.416.
• Leng, X. Feng, X. Feng, Y. Sun, C. Liu, X. Zhang, Y. Zhou, C. Wang, Y. Fu, B.
  (2024). Imbalance in lake variability but not embodying driving factors on the Qinghai-Tibetan Plateau calls on heterogeneous lake management. Journal of Environmental Management, 351, https://doi.org/10.1016/j.jenvman.2023.119887.
• Li, M. Ke, C. Cheng, B. Ma, J. Jiang, H. Shen, X.
  (2024). Inter-comparisons of Arctic snow depth products. International Journal of Digital Earth, 17 (1), https://doi.org/10.1080/17538947.2024.2376286.
• Li, J. Chu, S. Hu, Q. Cong, Y. Cheng, J. Chen, H. Cheng, L. Zhang, G. Xing, S.
  (2024). Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets. International Journal of Applied Earth Observation and Geoinformation, 130, https://doi.org/10.1016/j.jag.2024.103916.
• Lv, J. Li, S. Wang, X. Qi, C. Zhang, M.
  (2024). Long-term Satellite-derived Bathymetry of Arctic Supraglacial Lake from ICESat-2 Sentinel-2. The International Archives of the Photogrammetry, Remote Sensing Spatial Information Sciences, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-469-2024.
• Magruder, L. Reese, A.R. Gibbons, A. Dietrich, J. Neumann, T.
  (2024). ICESat-2 onboard flight receiver algorithms: On-orbit parameter updates the impact on science driven observations. Earth and Space Science, 11 (7), https://doi.org/10.1029/2024EA003551.
• Musaeus, A.F. Kittel, C.M.M. Luchner, J. Frias, M.C. Bauer-Gottwein, P.
  (2024). Hydraulic river models from ICESat-2 elevation and water surface slope. Water Resources Research, 60 (6), https://doi.org/10.1029/2023WR036428.
• Narin, O.G. Abdikan, S. Gullu, M. Lindenbergh, R. Sanli, F.B. Yilmaz, I.
  (2024). Improving global digital elevation models using space-borne GEDI ICESat-2 LiDAR altimetry data. International Journal of Digital Earth, 17 (1), https://doi.org/10.1080/17538947.2024.2316113.
• North, R. Barrows, T.T.
  (2024). High-resolution elevation models of Larsen B glaciers extracted from 1960s imagery. Scientific Reports, https://doi.org/10.1038/s41598-024-65081-6.
• Velikova, M. Fernandez-Diaz, J. Glennie, C.
  (2024). ICESat-2 noise filtering using a point cloud neural network. ISPRS Open Journal of Photogrammetry Remote Sensing, 11, https://doi.org/10.1016/j.ophoto.2023.100053.
• Wang, R. Lu, Y. Lu, D. Li, G.
  (2024). Improving Extraction of Forest Canopy Height through Reprocessing ICESat-2 ATLAS and GEDI Data in Sparsely Forested Plain Regions. GIScience and Remote Sensing, 61 (1), https://doi.org/10.1080/15481603.2024.2396807.
• Wei, L. Ke, T. Jing, Q. Li, F. Tao, P.
  (2024). InSAR Digital Surface Model Refinement by Block Adjustment with Horizontal Constraints. ISPRS Annals of the Photogrammetry, Remote Sensing Spatial Information Sciences, https://doi.org/10.5194/isprs-annals-X-1-2024-259-2024.
• Wu, K. Zhu, J. Fu, H. Hu, H. Zhang, T. Zeng, D.
  (2024). InSAR Dem Block Adjustment Considering Atmospheric Effects. IGARSS 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, https://doi.org/10.1109/IGARSS53475.2024.10641753.
• Yang, J. Zheng, H. Ma, Y. Liu, X. Li, S.
  (2024). Instrument Radiometric Correction of Laser Signals and Background Noise for ICESat-2 Photon-Counting Lidar. IEEE Geoscience and Remote Sensing Letters, 21, https://doi.org/10.1109/LGRS.2024.3432732.
• Yao, F. Livneh, B. Rajagopalan, B. Wang, J. Yang, K. Crétaux, J.-F. , etal.
  (2024). Leveraging ICESat, ICESat-2, Landsat for global-scale, multi-decadal reconstruction of lake water levels. Water Resources Research, 60 (2), https://doi.org/10.1029/2023WR035721.
• Zhang, Q. Zhou, H. Ma, Y. Wang, H. Li, S. Chen, Y.
  (2024). ICESat-2 Derived Canopy Covers With Radiometric Reflectance Ratio Corrections. IEEE Transactions on Geoscience Remote Sensing, 62, https://doi.org/10.1109/TGRS.2024.3349559.
• Zhong, J. Sun, J. Lai, Z.
  (2024). ICESat-2 Multi-spectral Images Based Coral Reefs Geomorphic Zone Mapping Using a Deep Learning Approach. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, https://doi.org/10.1109/JSTARS.2024.3396374.