Python tools for interacting with, editing, and visualizing EPA SWMM5 models

Fast methods to work with hydro- and topography data in pure Python.

Official MOHID Water Modelling System repository

A part of HyRiver software stack for accessing hydrology data through web services

The mutex watershed for image segmentation.

Skin detection using Watershed and HSV/YCbCr colorspaces,

WaterwayMap.org | River Basins from OpenStreetMap

R package for handling Raven hydrologic modelling framework inputs, outputs, and diagnostics

Distributed segmentation for bio-image-analysis

Simulator for Hydrologic Unstructured Domains (SHUD) --- multi-scale and multi-process integrated hydrological model

BASINS source code development repository. For official releases see EPA:

global automatic rapid watershed delineation

The Python interface to HexWatershed a mesh independent flow direction model for hydrologic models

An automated GIS toolbox for watershed delineation with lakes

optimising the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.

An implementation of the rainfall-runoff model SMART in Python

Python Command line application (CLI) to delineate single trees from LiDAR data, DOM and DTM.

Image Segmentation using OpenCV (and Deep Learning)

SMRF was designed to increase the flexibility of taking measured weather data, or atmospheric models, and distributing the data across a watershed.