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Copy file name to clipboardExpand all lines: CHANGELOG.md
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@@ -6,6 +6,17 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [PEP 440](https://www.python.org/dev/peps/pep-0440/)
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and uses [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [0.5.2]
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### Changed
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*[627](https://github.com/dbekaert/RAiDER/pull/627) - Made Python datetimes timezone-aware and added unit tests and bug fixes.
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*[651](https://github.com/dbekaert/RAiDER/pull/651) - Removed use of deprecated argument to `pandas.read_csv`.
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*[652](https://github.com/dbekaert/RAiDER/pull/652) - Changed the behavior of `RAiDER.models.credentials.check_api` to not overwrite the user's API credential files.
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*[656](https://github.com/dbekaert/RAiDER/pull/656) - Example run configuration files available through `raider.py --generate_config <example_name>`.
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*[657](https://github.com/dbekaert/RAiDER/pull/657) - Fixed a few typos in `README.md`.
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*[658](https://github.com/dbekaert/RAiDER/pull/658) - Fixed opaque error message if a GUNW file is not produced while HyP3 independently against a previous INSAR_ISCE.
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*[661](https://github.com/dbekaert/RAiDER/pull/661) - Fixed bug in raiderDownloadGNSS, removed call to scipy.sum, and added unit tests.
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*[662](https://github.com/dbekaert/RAiDER/pull/662) - Bumped dem-stitcher to >= v2.5.6, which updates the URL for reading the Geoid EGM 2008.
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## [0.5.1]
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### Changed
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* Use hyp3-lib v3* to download orbits to be able to distribute load across ESA and ASF. Can be easily swapped out for `sentineleof` in future release.
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## [0.4.6]
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### Added
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* Added check for intermediate grid creation in _get_delays_on_cube
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* Adds an `s1_orbits.py` module which includes:
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*`get_orbits_from_slc_ids` to download the associated orbit files for a list of Sentinel-1 SLC IDs
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*`ensure_orbit_credentials` to ensure ESA CSDE credentials have been provides to download orbit files. This should be called before `sentineleof` is used to download orbits.
Copy file name to clipboardExpand all lines: README.md
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### Installing With Conda
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RAiDER is available on [conda-forge](https://anaconda.org/conda-forge/raider). __[Conda](https://docs.conda.io/en/latest/index.html)__ is a cross-platform way to use Python that allows you to setup and use "virtual environments." These can help to keep dependencies for different sets of code separate. We recommend using [Miniforge](https://github.com/conda-forge/miniforge), a conda environment manager that uses conda-forge as its default code repo. Alternatively,see __[here](https://docs.anaconda.com/anaconda/install/)__ for help installing Anaconda and __[here](https://docs.conda.io/en/latest/miniconda.html)__ for installing Miniconda.
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RAiDER is available on [conda-forge](https://anaconda.org/conda-forge/raider). __[Conda](https://docs.conda.io/en/latest/index.html)__ is a cross-platform way to use Python that allows you to setup and use "virtual environments." These can help to keep dependencies for different sets of code separate. We recommend using [Miniforge](https://github.com/conda-forge/miniforge), a conda environment manager that uses conda-forge as its default code repo. Alternatively,see __[here](https://docs.anaconda.com/anaconda/install/)__ for help installing Anaconda and __[here](https://docs.conda.io/en/latest/miniconda.html)__ for installing Miniconda.
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Installing RAiDER:
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```
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## 3. Running RAiDER and Documentation
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For detailed documentation, examples, and Jupyter notebooks see the [RAiDER-docs repository](https://github.com/dbekaert/RAiDER-docs).
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We welcome contributions of other examples on how to leverage the RAiDER (see [here](https://github.com/dbekaert/RAiDER/blob/dev/CONTRIBUTING.md) for instructions).
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```raiderDelay.py -h ``` provides a help menu and list of example commands to get started.
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We welcome contributions of other examples on how to leverage the RAiDER (see [here](https://github.com/dbekaert/RAiDER/blob/dev/CONTRIBUTING.md) for instructions).
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```raider.py -h ``` provides a help menu and set of example run configurations to get started.
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The RAiDER scripts are highly modularized in Python and allows for building your own processing workflow.
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