| _ | tailing | _ |
|---|
| Abandoned Mine | tailing | s Affecting Riverbed Sediments in the Cartagena-La Union District, Mediterranean Coastal Area (Spain) |
| Coastal Ecosystem Investigations with LiDAR (Light Detection and Ranging) and Bottom Reflectance: Lake Superior Reef Threatened by Migrating | tailing | s |
| Coastal Environments: LiDAR Mapping of Copper | tailing | s Impacts, Particle Retention of Copper, Leaching, and Toxicity |
| Coastal Remote Sensing: Merging Physical, Chemical, and Biological Data as | tailing | s Drift onto Buffalo Reef, Lake Superior |
| Deformation Monitoring of | tailing | s Reservoir Based on Polarimetric Time Series InSAR: Example of Kafang Tailings Reservoir, China |
| Deformation Monitoring of | tailing | s Reservoir Based on Polarimetric Time Series InSAR: Example of Kafang Tailings Reservoir, China |
| Detection of | tailing | s Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing-Jin-Ji Region, China |
| Effects of Small-Scale Gold Mining | tailing | s on the Underwater Light Field in the Tapajos River Basin, Brazilian Amazon |
| Enhanced | tailing | s Dam Beach Line Indicator Observation and Stability Numerical Analysis: An Approach Integrating UAV Photogrammetry and CNNs |
| Extracting the | tailing | s Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model |
| Fast | tailing | s Pond Mapping Exploiting Large Scene Remote Sensing Images by Coupling Scene Classification and Sematic Segmentation Models |
| Geomorphological Mapping and Erosion of Abandoned | tailing | s in the Hiendelaencina Mining District (Spain) from Aerial Imagery and LiDAR Data |
| GPR Survey on an Iron Mining Area after the Collapse of the | tailing | s Dam I at the Corrego do Feijao Mine in Brumadinho-MG, Brazil |
| Improved Faster R-CNN Method to Detect | tailing | s Ponds from High-Resolution Remote Sensing Images, An |
| Improved Method to Detect the | tailing | s Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning |
| Improved YOLOv5 Method to Detect | tailing | s Ponds from High-Resolution Remote Sensing Images, An |
| Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the | tailing | s Dam of Fundao (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data |
| Rehabilitated | tailing | Piles in the Metropolitan Ruhr Area (Germany) Identified as Green Cooling Islands and Explained by K-Mean Cluster and Random Forest Regression Analyses |
| RST-DeepLabv3+: Multi-Scale Attention for | tailing | s Pond Identification with DeepLab |
| Semi-Automatic Framework for Dry Beach Extraction in | tailing | s Ponds Using Photogrammetry and Deep Learning, A |
| Spectral Responses of As and Pb Contamination in | tailing | s of a Hydrothermal Ore Deposit: A Case Study of Samgwang Mine, South Korea |
| tailing | s Ponds, Mine Tailings |
| tailing | s Ponds, Mine Tailings |
| Tracking the Environmental Impact of Mine Residues and | tailing | s in Sardinia (Italy) Using Imaging Spectroscopy |
| UAV Remote Sensing Surveillance of a Mine | tailing | s Impoundment in Sub-Arctic Conditions |
| Watch Out for the | tailing | s Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster |
| Watch Out for the | tailing | s Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster |
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