Arkenjan

alos_gee

Ingest ALOS imagery hosted on ASF into Google Earth Engine; Then classify inundated wetland

Bayesian-geographically-weighted-regression

The code to conduct Bayesian geographically weighted regression

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-Prediction

使用CNN-LSTM模型对天气数据进行分析，从而预测发病率。The CNN-LSTM model is used to analyze the weather data and predict the incidence rate.

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

Crop-Classification

crop classification using deep learning on satellite images

HydroML

Hydrology Machine Learning

Arkenjan/HydroML

Hydrology Machine Learning

Arkenjan/Bayesian_LSP

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.

Arkenjan/CM

Arkenjan/cnn_lstm_era

Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"

Arkenjan/ConceptFormation

Code for our paper: Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks

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/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/FUNCTION

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/h2m

Hybrid model of the global hydrological cycle

Arkenjan/hydro_data

Arkenjan/hydroDL

Arkenjan/HydroLSTM

LSTM Data and Model for Streamflow Forecasting

Arkenjan/HydroNODE

Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/

Arkenjan/hydroTools

CUG水文气象学--函数库

Arkenjan/LandUse-Classification-Satelite

Classifying Satelite Imagery for Land Use Purposes with Deep Learning

Arkenjan/LSTM-for-PUB-with-Static-features

Arkenjan/Multivariate-time-series-forecasting-using-LSTM

Arkenjan/neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

Arkenjan/omdenaai.github.io

OmdenaLore documentation and Guidelines

Arkenjan/rsimg-segmentation-pytorch

Pytorch-based semantic segmentation model for easy use on the remote sensing image

Arkenjan/StressNet

Ecosystem-scale transpiration stress formulation using deep learning

Arkenjan/SWOTdawgDISTRO

Arkenjan/torchhydro

TorchHydro: datasets, and pre-trained models for watershed hydrological modeling

Arkenjan/tvp-gr4j

Time-varying parameter variant of hydrology model GR4J for MCMC in NumPyro & PyMC

Arkenjan/UC_Merced-land-use-classification

UC Merced Classification using Deep Learning

Arkenjan/UEB_ConvLSTM_model

Source codes for streamflow simulation using integrated UEB and ConvLSTM model.

Arkenjan/WaterBench

A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting

Arkenjan/WidthAndWater