Pinned Repositories
AE4Hydro
alos_gee
Ingest ALOS imagery hosted on ASF into Google Earth Engine; Then classify inundated wetland
Basin_affinity
Bayesian_LSP
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.
blackhat-python3
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate issues of dependency resolution involving deprecated modules.
CM
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
context_aware_flood_model
HydroML
Hydrology Machine Learning
Arkenjan's Repositories
Arkenjan/AE4Hydro
Arkenjan/Basin_affinity
Arkenjan/context_aware_flood_model
Arkenjan/deep-wetlands
Repository for the Deep Wetlands project in which we detect changes in water extension of wetlands my using multispectral and SAR images
Arkenjan/Differentiable-multi-output-hydrological-model
A differentiable multi-output hydrological model was developed to study the similarity of basin hydrological behavior.
Arkenjan/discharge_prediction_ungauged_basins
Arkenjan/dP2L-models-for-CAMELS-learning
dP2L was developed by Heng Li, Chunxiao Zhang* and others from China University of Geosciences (Beijing) for rainfall-runoff learning in large sample watersheds. The related manuscript is currently under peer review in Journal of Hydrology.
Arkenjan/fcn-water-flow
Official PyTorch implementation for the SAIS 2023 paper "Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas"
Arkenjan/FloodCast
Large-scale flood modeling and forecasting with FloodCast (https://doi.org/10.1016/j.watres.2024.122162)
Arkenjan/FloodSformer
This is the official implementation of the FloodSformer model
Arkenjan/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
Arkenjan/geospatial-study
geospatial-study
Arkenjan/Hy2DL
Hybrid Hydrological modeling using Deep Learning methods
Arkenjan/hybrid_extrapolation
Arkenjan/HydroPol2D
This is the repository file of HydroPol2D Model
Arkenjan/LRB-ConvLSTM-SA
Arkenjan/mach-flow
Rainfall-runoff modeling (Mach-flow project)
Arkenjan/meteor
Arkenjan/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
Arkenjan/PCR-GLOBWB_surrogate
Repository related to the deep-learning PCR-GLOBWB surrogate (DL-GLOBWB).
Arkenjan/rsimg-segmentation-pytorch
Pytorch-based semantic segmentation model for easy use on the remote sensing image
Arkenjan/SeamlessFloodMapper
Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data
Arkenjan/Simple-UNet-Basic-Code
Baisc code for reomte sensing and deep learning
Arkenjan/smash
An open source, Python library interfacing the Fortran Spatially distributed Modelling and ASsimilation for Hydrology platform.
Arkenjan/SoftFormer
Pytorch code of SoftFormer, a transformer based network for optical and SAR fusion in urban land use and land cover classification
Arkenjan/STF
Arkenjan/torchhydro
TorchHydro: datasets, and pre-trained models for watershed hydrological modeling
Arkenjan/Transformer_GRACE
fill the GRACE gap using novel Transformer method
Arkenjan/TSSCD
Temporal semantic segmentation change detection
Arkenjan/watershed_delineator
Fast, accurate watershed delineation using hybrid vector- and raster-based methods and data from MERIT-Hydro