152 results on '"Tissot, Philippe"'
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2. Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA
3. Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast
4. Vertical land motion monitored with satellite radar altimetry and tide gauge along the Texas coastline, USA, between 1993 and 2020
5. Integrated coastal subsidence analysis using InSAR, LiDAR, and land cover data
6. Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences
7. Importance of 3D convolution and physics on a deep learning coastal fog model
8. Using Grouped Features to Improve Explainable AI Results for Atmospheric AI Models that use Gridded Spatial Data and Complex Machine Learning Technique
9. AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography
10. A 10-year Metocean dataset for Laguna Madre, Texas, including for the Study of Extreme Cold Events
11. FogNet: A multiscale 3D CNN with double-branch dense block and attention mechanism for fog prediction
12. Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective
13. Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
14. Aggregating XAI methods for insights into geoscience models with correlated and high-dimensional rasters
15. Relationships between sea surface temperature anomalies in the Pacific and Atlantic Oceans and South Texas precipitation and streamflow variability
16. Developing trustworthy AI for weather and climate.
17. Trustworthy AI for Extreme Event Prediction and Understanding
18. Influence of Loop Current and eddy shedding on subseasonal sea level variability along the western Gulf Coast
19. Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
20. A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery
21. On Variability due to Local Minima and K-Fold Cross Validation
22. Relative Importance of Large‐Scale Environmental Variables to the World‐Wide Variability of Thunderstorms
23. Methodology for Applying GIS to Evaluate Hydrodynamic Model Performance in Predicting Coastal Inundation
24. A high-resolution spatiotemporal morphological dataset: Port Aransas beach, Texas
25. Mapping and Evaluation of Land Deformation with InSAR and GNSS Measurements Near Houston, Texas, USA
26. Deep Learning Automatic Detection of the Wet/Dry Shoreline at Fish Pass, Texas
27. NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
28. The History and Practice of AI in the Environmental Sciences
29. Developing a Goodness Criteria for Tide Predictions Based on Fuzzy Preference Ranking
30. Storm flooding sensitivity to sea level rise for Galveston Bay, Texas
31. An Approach to Approximate Wave Height from Acoustic Tide Gauges
32. Thunderstorm Predictions Using Artificial Neural Networks
33. Land Subsidence Estimation With Tide Gauge and Satellite Radar Altimetry Measurements Along the Texas Gulf Coast, USA
34. Land Subsidence with tide Gauge, Radar Altimetry and GNSS: A Case Study at Subsiding Coast in Texas
35. Pricing Options on Water in Texas
36. Full-Waveform Terrestrial Lidar Data Classification Using Raw Samples of Digitized Waveform
37. 12. Relationship of Subsurface Reservoir Properties and Hydrocarbon Sea-surface Slicks in the Northern Gulf of Mexico
38. Water level observations and short-term predictions including meteorological events for entrance of Galveston Bay, Texas
39. Weathering Environmental Change Through Advances in AI
40. Using Lidar Data to Assess the Relationship Between Beach Geomorphology and Kemp’s Ridley (Lepidochelys kempii) Nest Site Selection Along Padre Island, TX, United States
41. Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland
42. A deep‐learning model to predict thunderstorms within 400 km 2 South Texas domains
43. A Bayesian‐Like Approach to Describe the Regional Variation of High‐Flash Rate Thunderstorms From Thermodynamic and Kinematic Environment Variables
44. Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study
45. Evaluating knowledge to support climate action: A framework for sustained assessment. report of an independent advisory committee on applied climate assessment.
46. Framework for sustained climate assessment in the United States
47. Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks
48. Deep‐learning model used to predict thunderstorms within 400 km2 of south Texas domains.
49. Unsupervised Clustering Method for Complexity Reduction of Terrestrial Lidar Data in Marshes
50. Thunderstorm Predictions Using Artificial Neural Networks
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