Arkenjan's repositories
Hy2DL
Hybrid Hydrological modeling using Deep Learning methods
Simple-UNet-Basic-Code
Baisc code for reomte sensing and deep learning
torchhydro
TorchHydro: datasets, and pre-trained models for watershed hydrological modeling
fwdet
Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model:FwDET
deep-wetlands
Repository for the Deep Wetlands project in which we detect changes in water extension of wetlands my using multispectral and SAR images
fcn-water-flow
Official PyTorch implementation for the SAIS 2023 paper "Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas"
geospatial-study
geospatial-study
rsimg-segmentation-pytorch
Pytorch-based semantic segmentation model for easy use on the remote sensing image
HydroNODE
Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/
hydroTools
CUG水文气象学--函数库
tvp-gr4j
Time-varying parameter variant of hydrology model GR4J for MCMC in NumPyro & PyMC
ConceptFormation
Code for our paper: Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
LandUse-Classification-Satelite
Classifying Satelite Imagery for Land Use Purposes with Deep Learning
StressNet
Ecosystem-scale transpiration stress formulation using deep learning
HydroLSTM
LSTM Data and Model for Streamflow Forecasting
cnn_lstm_era
Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"
WaterBench
A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting
UEB_ConvLSTM_model
Source codes for streamflow simulation using integrated UEB and ConvLSTM model.
Bayesian_LSP
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.
h2m
Hybrid model of the global hydrological cycle