Pinned Repositories
1D-CNN-model-for-USRR1DCNN-WH
Python program used to develop 1D-CNN models for simualtion of water depths at representative locations, as presented in "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths".
DUPLEX-data-split-function
Apply DUPLEX data split to the given dataset and return training and test datasets. REF: Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics, 19(4), 415-428.
LSTM-model-for-SRR-DL-Burnett
LSTM model configurations for SRR-DL framework Butnett River case study
python-rasterstats
Summary statistics of geospatial raster datasets values based on vector geometries.
SRR-method
Python programs for spatial reduction and reconstruction method in flood inundation modelling
USRR-method
Python program developed to apply the U-Net-based spatial reduction and reconstruction method for "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths"
yuerongz's Repositories
yuerongz/1D-CNN-model-for-USRR1DCNN-WH
Python program used to develop 1D-CNN models for simualtion of water depths at representative locations, as presented in "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths".
yuerongz/SRR-method
Python programs for spatial reduction and reconstruction method in flood inundation modelling
yuerongz/LSTM-model-for-SRR-DL-Burnett
LSTM model configurations for SRR-DL framework Butnett River case study
yuerongz/USRR-method
Python program developed to apply the U-Net-based spatial reduction and reconstruction method for "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths"
yuerongz/DUPLEX-data-split-function
Apply DUPLEX data split to the given dataset and return training and test datasets. REF: Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics, 19(4), 415-428.
yuerongz/python-rasterstats
Summary statistics of geospatial raster datasets values based on vector geometries.