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Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective.

, , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)

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Applying signal processing techniques to water level anomaly detection., , , , , and . ICINCO, page 303-309. INSTICC Press, (2005)Ensemble Neural Networks for Modeling DEM Error., , , , and . ISPRS Int. J. Geo Inf., 8 (10): 444 (2019)Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA., , , and . Int. J. Appl. Earth Obs. Geoinformation, (December 2023)Importance of 3D convolution and physics on a deep learning coastal fog model., , , , and . Environ. Model. Softw., (2022)Intelligent Systems for Water Level Prediction., , , , and . CAINE, page 181-185. ISCA, (2005)Land Subsidence Estimation With Tide Gauge and Satellite Radar Altimetry Measurements Along the Texas Gulf Coast, USA., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Terminology of vocational training policy. Off. for Official Publ. of the Europ. Communities, Luxembourg, (2004)Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast., , , and . Int. J. Appl. Earth Obs. Geoinformation, (December 2023)Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study., , , and . Remote Sensing, 11 (22): 2715 (2019)The History and Practice of AI in the Environmental Sciences, , , , , , , , , and . Bulletin of the American Meteorological Society, 103 (5): E1351--E1370 (May 2022)