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TomasBeuzen/pybeach

: Python tool for automatically identifying beach profile features such as dune toes, dune crests, beach width and beach slopes

TomasBeuzen/PH12_Dune_Erosion_Model

: Matlab and Python implementations of dune erosion models

: Open sourced, processed-based model for beach and dune erosion

danoroelvink/shorelines

🆕 : Free-form coastline simulation with the ShorelineS program ( )

danoroelvink/duna

🆕 : Duna model for wind-driven morphology change of coastal profiles ( )

teslakit/teslakit

🆕 : Python3 collection of libraries for numerical and statistical calculations and methodologies for handling global climate data

tsutterley/pyTMD

🆕 : Python-based tidal prediction software that reads OTIS, GOT and FES formatted tidal solutions

CHLNDDEV/oceanmesh

🆕 : Automatic coastal ocean mesh generation in Python and C++

akarimp/oceanlyz

🆕 : Python toolbox for analysing wave time series data

anellenson/DecisionTree_WaveForecasts

🆕 : Machine learning algorithm to determine and describe error patterns within wave model output

chrisleaman/py-wave-runup

: Python package with many empirical wave runup equations for sandy beaches

TomasBeuzen/BeuzenEtAl_GP_Paper

: Python Juypter notebook demonstrating a Gauassian-Process machine learning implementation of wave runup prediction

: 1391 wave runup records collated from a variety of sources

: Wave runup measurements taken by the LiDAR at the FRF in North Carolina, USA

: SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces

umwm/umwm

: Opensource code University of Miami Wave Model, a third-generation spectral ocean wave model

georgebv/coastlib

🆕 : coastlib is a Python library dedicated to solving problems related to the discipline of coastal engineering, such as enivronmental data collection (NOAA CO-OPS and NCEI, and WAVEWATCH III, etc.), extreme value analysis (EVA), data analysis and visualization, wave theories, and many more

mikeyt120/coastal-glare-estimation

🆕 : A globally verified, Python tool to estimate when coastal observations are affected by glare

caiostringar/picoastal

🆕 : Coastal video monitoring using a Raspberry Pi

caiostringar/deepwaves

🆕 : Identifying wave breaking in videos

: The CIRN organisation provides toolboxes to estimate bathymetry from video (cBathy) taken from fixed ARGUS stations or UAVs. Repos include the cBathy toolbox, UAV processing toolbox and image calibration and rectification routines. Currently all code uses MATLAB

mailemccann/coastalimagelib

🆕 : Python-based library that produces common coastal image products intended for quantitative analysis of coastal environments

CoastSnap

: MATLAB toolbox to extract shorelines from pictures of beaches taken by the global community. More info and

: pywavelearn provides a number of python scripts to process video of the swash zone. It provides functions to calibrate and rectify camera images, generate timestacks and classify pixels to track wave breaking

simmonsja/cnn-shoreline-detect

: Shoreline detection on oblique images of beaches using a HED CNN approach and Python

dbuscombe-usgs/IR_waveclass

: Software and data for training deep convolutional neural network models to classify wave breaker type from IR images of breaking waves in the surf zone using Python

rgerum/cameratransform

: Python package to fit camera properties and perform transformation from pixel to real-world coordinates and back again

conlin-matt/SurfRCaT

: Surf-Camera remote calibration tool that allows for the rectification of imagery from any coastal camera that views structures identifiable in lidar data

jonghyunharrylee/pyPCGA

: Example of bathymetric invesion using STWAVE

SatelliteShorelines/CoastSeg

🆕 : An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more

mcuttler/CoastSat.islands

🆕 : An extension of CoastSat adapted to measure the planform area of islands

🆕 : A dataset for deep learning applications containing annotated Sentinel-2 imagery

kvos/CoastSat

: CoastSat is a python package which processes LandSat imagery (over 30 years available) and extracts shorelines using a sub-pixel resolution technique

dbuscombe-usgs/EarthAnnotator

: A tool for web-based image annotation and efficient labeling pixels in images using Python

Subpixel_waterlines

🆕 : Python code and Jupyter Notebooks for extracting sub-pixel resolution waterlines from large multidimensional satellite datasets (e.g. from Open Data Cube or Google Earth Engine)

: Storm impact early warning system for the Italian coastline

: Wave overtopping forecasting system for the southwest coast of the UK

🆕 : Total Water Level forecasts along the East Atlantic US coastaline

🆕 : A collaborative project engaging citizen scientists in creating a sand grain database and educating the next generation about coastal processes

UNCG-DAISY/Instagrain

🆕 : A camera for measuring sediment grain sizes with edge ML

🆕 : A one stop viewer for 21st century projections of climatic impact-drivers (CIDs) leading to coastal impacts and risk

🆕 : Global water data platform providing water level, wind, wave forecasts by Deltares

🆕 : Downloadable application for browsing, visualizing and analyzing a diverse suite of curated global and regional geoscience data sets

🆕 : GMRT is a single, continuously ipdate compilation of global topobathy data worldwide

🆕 : Access a variety of open topo and bathy data from a REST API server

Awesome-DEM

🆕 : List of global and local DEM resources (both free and proprietary)

: Predicted tide elevations, currents and loadings on a 1/16 x 1/16 degree grid for anywhere in the world. Simple to use python interface provided at

: Global wave model supplying hindcasts and forecasts around the world. Development has been recentl move to the open-source repo

fitnr/buoyant

: Buoyant is a Python wrapper for grabbing buoy data from the National Buoy Data Center. It parses CSV from the SDF endpoint and images from the BuoyCam service

: Global climiate reanalysis which includes ocean waves. ERA5 data released so far covers the period from 1979 to 2-3 months before the present

: Tide observations from a global network of gauges

: Worldwide dataset of frequency and magnitude of extreme sea levels

: Global terrain model for ocean and land at 15 arc-second intervals

: On-demand ocean forecasting system for coastal areas providing water levels, velocities and wave parameters

: Improved global DEM at 3 arc-second resolution

: Global DEM with improved error correction around coastal areas

🆕 : Collection of coastal infrastructure, assets, hazards and monitoring information for the Victorian coastline

🆕 : Merged topobathy for Australia at 250 m resolution

🆕 : Australian marine and climate science data provided by IMOS

🆕 : Real-time measurements of offshore wave data along the NSW coastline

🆕 : Real-time measurments of nearshore wave data along the NSW coastline ( )

GeoscienceAustralia/dea-coastlines

🆕 : Annual shorelines and rates of coastal change along the entire Australian coastaline from 1988 to present

🆕 : Collection of point cloud and elevation datasets covering Australia

🆕 : Wave buoy observations along the Victorian coastline

🆕 : Historical aerial photography around Australia dating back to 1928

🆕 : Historical oblique aerial images on WA coastline between Busselton and Rockingham

🆕 : Waves observations from wave buoys on the WA coastline

: Long-term data set (40+ years) of beach profiles at Narrabeen-Collaroy (Sydney Northern Beaches)

: Tools to transform offshore wave contours to 10m and 30m depth contour. Can provide historic nearshore wave conditions based on WaveRider buoys and WaveWatch 3 data from 1980

: DEM and satellite composite images at low and high tide for entire Australian coastline. (Click -> -> )

: The entire Australian shoreline broken up into primary, secondary and tertiary sediment comparments

: Geomorphology data provided for the entire Australian shoreline

: Maps of predicted coastal flooding resulting from climate change

: Beach profiles from 150 locations along the NSW Coast, from as far north as Tweed Heads and to as far south as Eden. Data available for download

: The AODN Portal provides access to all available Australian marine and climate science data

: WaveWatch III hindcast with high resolutions in the Western Pacific and Australian regions. Hindcast dates available from 1979 to 2014

: Present day extreme sea level statistics around Australia

: Hindcast of NZ storm surge at 0.25 degrees

🆕 : Nationwide listing of publically available topography and bathymetry for the US

UNCG-DAISY/psi-collect

🆕 : Collect Post-Storm Imagery from NOAA

: Long term monitoring and extensive field campaigns with geomorphology, meteorology, oceanography data sets available for download

: Beach profiles and wave conditions at three southern California beaches during 2001-2016. (Ludka et al, 2019)

: Centralized access to Southeast U.S. coastal and ocean data

🆕 : 16 years of beach profile surveys at Porsmilin, northwest France

🆕 : 11 years of beach profiles along 230 km of the Aquitaine, southwest France

🆕 : 16 years of topographic surveys of Truc Vert beach, southwest France

🆕 : The Network collects coastal monitoring data across six regional programs

: Beach profiles, wave and tide data, model predictions for several sites around the UK

: A multi-year data set of beach-foredune topography and environmental forcing conditions at Egmond aan Zee, the Netherlands

: Possibly the largest coastal engineer/scientist mailing list with over 6800 subscribers. Run by the University of Delware, job ads, student opportunities, workshops, training courses and conferences are all posted here

: Google spreadsheet of list of available earth science faculty jobs

Awesome-Spatial

: Awesome list for geospatial

Awesome Open Geoscience

: Awesome list for open-source geoscience. Items lean towards subsurface geoscience but significant overlap with coastal geoscience

Awesome Open Climate Science

: Awesome list for atmospheric, ocean, aWnd climate sciences

: The Spatial Sciences Group at The University of Adelaide's list of useful resources