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bg_flood

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

catchment

catchment delineation function using saga-gis

catchment_delineation

Tool for automatic catchment delineation with postgis and taudem. Visualization with google maps

catchmenttool

Catchment Tool, an ArcGIS Python toolbox, was developed for delineating stream network catchment areas.

core

:house_with_garden: Open source home automation that puts local control and privacy first

datasciencecoursera

Data science 005 coursera test repo

datasharing

The Leek group guide to data sharing

earthengine-deep-learning

Land Cover Classification based on Landsat-8 imagery from Google Earth Engine

floodmapping

R 📦 for flood forecasting via the National Water Model

georeferencer

Georeferencing project

itzi

A dynamic GIS flood model

parserasgeo

Import/export HEC-RAS geometry files

pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

rascontrol

Python wrapper for HEC-RAS controller. win32com based

rasminer

Data Mining HEC-RAS outputs with R

seweranalysis