koleshjr/Inundata-Mapping-Floods-in-South-Africa

Can you identify where and when an urban flash flood happened in South Africa? # Inundata: Mapping Floods in South Africa ## In Collaboration With @medAli-ai | @ngoym --- ## Overview This repository contains our solution for mapping floods in South Africa. All experiments were conducted on Kaggle, and we assume that users will run the notebooks in a Kaggle environment. If running in Google Colab, paths must be modified accordingly. --- ## Workflow Our solution consists of four key stages: ### 1. Exploratory Data Analysis (EDA) & Data Preparation We perform EDA on composite images to determine the optimal band combination for flood probability prediction. The best-performing band for this task was **Moisture Stress**. #### Notebook: - first-stage-static-images-eda-data-preparation.ipynb --- ### 2. Image Classification Using **Moisture Stress** images, we train an image classifier (**eva02_tiny_patch14_224**) to predict the probability of flooding at each location. This feature significantly improves the overall model performance. #### Notebook: - second-stage-image-classifier.ipynb --- ### 3. Modeling We trained **nine different models** using a combination of flood probability, lagged precipitation values, rolling statistics, exponentially weighted moving averages (EWMA), and event time indicators. #### Models & Notebooks: 1. **XGBoost** - third_stage_xgb_modelling.ipynb 2. **LightGBM** - third_stage_lgb_modelling.ipynb 3. **FastAI Tabular** - third-stage-fastai-tabular-modelling.ipynb 4. **FastAI GatedConv** - third_stage_fastai_gatedconv_modelling.ipynb 5. **FastAI 1DConv** - third_stage_fastai_1dconv_modelling.ipynb 6. **FastAI TabTransformer** - third_stage_fastai_tabtransformer_modelling.ipynb 7. **TabNet** - third_stage_tabnet_modelling.ipynb 8. **Wavenet-GRU** (Inference recommended) - Training: third-stage-wavenet-gru-transformer-modelling.ipynb - Inference: third-stage-wavenet-gru-transformer-inference-modelling.ipynb 9. **ResNet1D** (Inference recommended) - Training: third_stage_resnet1d_0_1_2_3_modelling.ipynb, third_s …