Flood extent forecasting
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Benchmarks
Global Flood forecasting
Most implemented
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Papers
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather prediction and spaceborne flood mapping…
Flood extent forecastingMaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and lo…
DecoderFlood extent forecastingImage SegmentationInductive Bias+4Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Predicting wildfire spread is critical for land management and disaster preparedness. To this end, we present `Next Day Wildfire Spread,' a curated, large-scale, multivariate data set of historical wildfires aggregating …
BIG-bench Machine LearningEarth ObservationFlood extent forecastingManagementPanoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Unprecedented access to multi-temporal satellite imagery has opened new perspectives for a variety of Earth observation tasks. Among them, pixel-precise panoptic segmentation of agricultural parcels has major economic an…
Cloud RemovalEarth ObservationFlood extent forecastingPanoptic Segmentation+5Semantic segmentation of crop type in Africa: A novel dataset and analysis of deep learning methods
Automatic, accurate crop type maps can provide unprecedented information for understanding food systems, especially in developing countries where ground surveys are infrequent. However, little work has applied existing m…
Crop Type MappingFlood extent forecastingSemantic Segmentation