Arkenjan's repositories
Bayesian_LSP
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.
cnn_lstm_era
Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"
ConceptFormation
Code for our paper: Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
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"
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
geospatial-study
geospatial-study
h2m
Hybrid model of the global hydrological cycle
Hy2DL
Hybrid Hydrological modeling using Deep Learning methods
HydroLSTM
LSTM Data and Model for Streamflow Forecasting
HydroNODE
Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/
hydroTools
CUG水文气象学--函数库
LandUse-Classification-Satelite
Classifying Satelite Imagery for Land Use Purposes with Deep Learning
rsimg-segmentation-pytorch
Pytorch-based semantic segmentation model for easy use on the remote sensing image
Simple-U-Net-Basic-Code
Baisc code for reomte sensing and deep learning
StressNet
Ecosystem-scale transpiration stress formulation using deep learning
torchhydro
TorchHydro: datasets, and pre-trained models for watershed hydrological modeling
tvp-gr4j
Time-varying parameter variant of hydrology model GR4J for MCMC in NumPyro & PyMC
UEB_ConvLSTM_model
Source codes for streamflow simulation using integrated UEB and ConvLSTM model.
WaterBench
A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting