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h2m

Hybrid model of the global hydrological cycle

hy2dl

Hybrid Hydrological modeling using Deep Learning methods

hybrid_extrapolation

hydro_data

hydrodl

hydrologicstationarity

Analyzing hydrologic nonstationarities

hydrolstm

LSTM Data and Model for Streamflow Forecasting

hydroml

Hydrology Machine Learning

hydronode

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

hydrospdb

Streamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models

hydrotools

CUG水文气象学--函数库

icesat

ATLAS/ICESat-2 L3A Inland Water Surface Height

labelrs

lake-area-monitoring

lake-ice-classification

Google Earth Engine interface to aid building training data for classifying ice formation on lake surfaces

land-cover-analysis

Land Cover Change Detection using Satellite Image Segmentation.

land_cover_classification_unet

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

landsat-extract-gee

Get Landsat surface reflectance time-series from google earth engine

landuse-classification-satelite

Classifying Satelite Imagery for Land Use Purposes with Deep Learning

lstm-for-pub-with-static-features

lstm_for_pub

Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

mach-flow

Rainfall-runoff modeling (Mach-flow project)

ms-convstar

Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

mts-lstm

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

multiple_forcing

multivariate-time-series-forecasting-using-lstm

neuralhydrology

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

pangeo_lstm_example

Example notebook, showing how to use LSTMs for rainfall-runoff modeling

patch-generating_land_use_simulation_model

The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.

pcr-globwb_surrogate

Repository related to the deep-learning PCR-GLOBWB surrogate (DL-GLOBWB).