Monitoring and mapping floods and floodable areas in the mekong delta (vietnam) using time-series sentinel-1 images, convolutional neural network, multi-layer perceptron, and random forest

HIGHLIGHTS

• who: Chi-Nguyen Lam et al. from the LETG Brest UMR , CNRS, Plouzanu00e9, France have published the article: Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest, in the Journal: (JOURNAL) of 27/05/2021
• what: The authors explore the potential of the C-band of Sentinel-1 SAR dual-polarization (VV/VH) data for detecting and the flooded and flood-prone in the This study attempts to analyze the contribution of tween the optimized ML models . . .
  

   

  

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