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The package uses the OpenStreetMap API to retrieve river centerline geometries over the DEM extent. Interpolation of river elevations is automatically handled using a sampling scheme based on raster resolution and river sinuosity to create striking high-resolution visualizations without interpolation artefacts straight out of the box and without additional manual steps. The package also contains a helper class for creating DEM raster visualizations. See the [documentation](https://opentopography.github.io/RiverREM/) pages for more details.\n\nFor more information on REMs and this project see [this OpenTopography blog post](https://opentopography.org/blog/new-package-automates-river-relative-elevation-model-rem-generation).\n\n![neches_REM](docs/_images/neches_topo_crop.jpg)\n\n## Installation\n\n### Install method 1 (recommended): New environment with conda/mamba\n\nMake a new Python environment with RiverREM installed:\n\n```bash\nconda create -n rem_env riverrem\n```\n\nThe above command creates a new Python environment named `rem_env` with the `riverrem` package installed.\n\n\u003e [!NOTE] \n\u003e [`mamba`](https://github.com/conda-forge/miniforge/releases/latest) is recommended over `conda` or `pip` as it is able to solve environment dependencies quickly and robustly. If you are using `mamba`, replace `conda` with `mamba` in the above command.\n\nThe environment can then be activated:\n\n```bash\nconda activate rem_env\n```\n\nAlternatively, the environment can be linked to an IDE like PyCharm.\n\n\n### Install method 2: Existing environment\n\nInstall via conda/mamba:\n\n```bash\nconda install -c conda-forge riverrem\n```\n\n### Install method 3: Repository clone\n\nClone this repo and create a conda environment from the `environment.yml`:\n\n```bash\ngit clone https://github.com/opentopography/RiverREM.git\ncd RiverREM\nconda env create -n rem_env --file environment.yml\n```\n\n## Usage\n\n1. Get a DEM for the area of interest. Some sources for free topographic data:\n\n   - [OpenTopography](https://opentopography.org/)\n   - [USGS](https://apps.nationalmap.gov/downloader/)\n   - [Comprehensive list of DEM sources](https://github.com/DahnJ/Awesome-DEM)\n\n2. Create an REM visualization with default arguments:\n\n   ```python\n   from riverrem.REMMaker import REMMaker\n   # provide the DEM file path and desired output directory\n   rem_maker = REMMaker(dem='/path/to/dem.tif', out_dir='/out/dir/')\n   # create an REM\n   rem_maker.make_rem()\n   # create an REM visualization with the given colormap\n   rem_maker.make_rem_viz(cmap='topo')\n   ```\n\nOptions for adjusting colormaps, shading, interpolation parameters, and more are detailed in the [documentation](https://opentopography.github.io/RiverREM/).\n\n![yukon_flats_REM](docs/_images/yukon_crop.png)\n\n## Troubleshooting\n\n- No river in DEM extent or inaccurate centerline: Use the [OSM editor](https://www.openstreetmap.org/edit) to \n  create/modify river centerline(s). Alternatively, a user-provided centerline can be input to override the OSM centerline. See the [documentation](https://opentopography.github.io/RiverREM) for more details.\n\n## Issues\n\nSubmitting [issues](https://github.com/OpenTopography/RiverREM/issues), bugs, or suggested feature improvements are highly encouraged for this repository.\n\n## References\n\nThis is the OpenTopography fork of https://github.com/klarrieu/RiverREM by Kenneth Larrieu. This package was made possible and inspired by the following:\n\n- The [beautiful REMs](https://www.dnr.wa.gov/publications/ger_presentations_dmt_2016_coe.pdf) popularized by [Daniel Coe](https://dancoecarto.com/creating-rems-in-qgis-the-idw-method)\n- [DahnJ](https://github.com/DahnJ)'s implementation of [REMs using xarray](https://github.com/DahnJ/REM-xarray)\n- Geoff Boeing's [OSMnx](https://geoffboeing.com/publications/osmnx-complex-street-networks/) Python package leveraging the OSM Overpass API\n- The [UNAVCO](https://www.unavco.org/) Student Internship Program\n- The team at [OpenTopography](https://opentopography.org/) for supporting this effort under the following U.S. National Science Foundation award numbers: 1948997, 1948994, 1948857.\n\n\n![birch_creek_REM](docs/_images/birch_crop.png)\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["river"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/46079","html_url":"https://ost.ecosyste.ms/projects/46079"}