mailemccann / coastalimagelib
CoastalImageLib is a Python- based library that produces common coastal image products intended for quantitative analysis of coastal environments. This library is part of the Coastal Imaging Research Network (CIRN) and was developed with the USACE Field Research Facility and USGS CoastCam project.
☆12Updated last year
Alternatives and similar repositories for coastalimagelib:
Users that are interested in coastalimagelib are comparing it to the libraries listed below
- This repository contains notebooks and tools to identify snowmelt timing using time series analysis of backscatter of Sentinel-1 C-band S…☆41Updated 9 months ago
- Batch shoreline extraction toolkit for PlanetScope Dove satellite imagery☆51Updated 2 weeks ago
- Machine learning models for remote sensing snow depth retrieval☆13Updated 2 weeks ago
- Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!☆30Updated 2 years ago
- Conveniently search, download, and process ArcticDEM and REMA products☆27Updated 3 weeks ago
- Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data☆44Updated 2 weeks ago
- Satellite-derived shorelines and 2D planform measurements for islands, extension of the CoastSat toolbox.☆22Updated last year
- ICESat-2 Hackweek 2022 landing page and jupyter book☆23Updated 2 years ago
- Open source coastal monitoring☆19Updated 2 months ago
- Extension to xarray providing functionality to work with spherical harmonic datasets☆9Updated 3 weeks ago
- OpenOceans helps you extract and analyze bathymetry from ICESat-2 lidar data.☆24Updated last year
- RiverTile processing algorithms for SWOT☆52Updated 7 months ago
- Python tools for cloud-native coastal analytics☆16Updated last week
- Generating sea ice thickness estimates from NASA's ICESat-2 freeboard data☆19Updated 2 years ago
- ☆16Updated 9 months ago
- Satellite remote sensing based reservoir operations monitoring☆11Updated 2 years ago
- NOTE: this book is no longer maintained. Please go to 'Cloud-native geospatial data cube workflows,' linked below, instead.☆17Updated 2 weeks ago
- Methods to stack geospatial rasters and run memory-efficient computations.☆14Updated 3 weeks ago
- Data, notebooks, scripts and notes for Shean et al. (2020) paper on High-Mountain Asia glacier mass balance☆15Updated 3 years ago
- Python tools to download, convert, and visualize UAVSAR images.☆20Updated 5 months ago
- SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)☆42Updated 7 months ago
- Ice sheet and glacier boundaries and basins☆13Updated 3 weeks ago
- Notes and code to understand and successfully perform accurate 3D coordinate reference system (CRS) transformations☆13Updated last month
- Collection of interactive notebooks for the OPERA Products☆50Updated last month
- Python Ocean Particle Image Analysis☆12Updated last week
- Matlab implementation of STREAM model☆19Updated 3 years ago
- GLAcier Feature Tracking testkit (GLAFT): evaluating glacier velocity products derived from feature tracking.☆19Updated 4 months ago
- Benchmarking of satellite-derived shoreline mapping techniques☆20Updated last year
- Automated Grounding Line Delineation☆15Updated 2 years ago
- pyddem is a python package to process stacks and time series of DEMs.☆14Updated 2 years ago