Baofeng Di

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Publications (8)

• Assessing Debris-Flow Susceptibility at Local and Global Scales: A Deep-Learning-Based Comparative Study ofSichuan, China, and Worldwide
  Remote Sensing 2026 0 citations DOI: 10.3390/rs18091442
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• Can Deep Learning Identify Early Chinese Ceramics Using Only 2D Images?
  Sensors 2026 2 citations DOI: 10.3390/s26041312
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• Machine Learning-Based Prediction of Soil Bulk Density Using Soil Penetration Resistance and Moisture
  Agronomy 2025 2 citations DOI: 10.3390/agronomy15122737
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• Assessing Earthquake-Triggered Ecosystem Carbon Loss Using Field Sampling and UAV Observation
  Land 2025 1 citation DOI: 10.3390/land14050915
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• A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment
  Sensors 2024 32 citations DOI: 10.3390/s24217090
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• Dynamic Characteristics of Vegetation Change Based on Reconstructed Heterogenous NDVI in Seismic Regions
  Remote Sensing 2023 10 citations DOI: 10.3390/rs15020299
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• Predicting Change in Adaptation Strategies of Households to Geological Hazards in the Longmenshan Area, China Using Machine Learning and GIS
  Water 2022 1 citation DOI: 10.3390/w14071023
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• Comparison of Different Machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China
  Remote Sensing 2020 117 citations DOI: 10.3390/rs12020295
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