معرفی شرکت ها
cedar-datacube-0.0.4
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Creator for Analysis Ready Data (ARD)
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cedar-datacube-0.0.4 |
| نام | cedar-datacube |
| نسخه کتابخانه | 0.0.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Chris Holden |
| ایمیل نویسنده | ceholden@gmail.com |
| آدرس صفحه اصلی | https://github.com/ceholden/cedar-datacube |
| آدرس اینترنتی | https://pypi.org/project/cedar-datacube/ |
| مجوز | ('BSD license',) |
==================================================================
``cedar`` - Create Earth engine Data cubes of Analytical Readiness
==================================================================
cedar is a library and application to help download and preprocess
satellite data to be "analysis ready data" (ARD) "data cube" as quickly as
possible. cedar has been designed primarily to preprocess Landsat data, and can
help acquire data from the Google Earth Engine (GEE). It is based on tools
within the Python ecosystem for geospatial data processing (rasterio_), saving
and working with N-dimensional data (netCDF4_ and xarray_), and parallelization
(dask_ and distributed_).
+------------+-------------+--------------+--------------+
| Branch | Tests | Coverage | Docs |
+------------+-------------+--------------+--------------+
| ``master`` | |ci_master| | |cov_master| | |doc_master| |
+------------+-------------+--------------+--------------+
.. |ci_master| image:: https://travis-ci.com/ceholden/cedar-datacube.svg?token=fpEUL8V3obFi2DonCumW&branch=master
:target: https://travis-ci.com/ceholden/cedar-datacube
:alt: Continuous integration test status
.. |cov_master| image:: https://ceholden.github.io/cedar-datacube/master/coverage_badge.svg
:target: https://ceholden.github.io/cedar-datacube/master/coverage/index.html
:alt: Test coverage
.. |doc_master| image:: https://travis-ci.com/ceholden/cedar-datacube.svg?token=fpEUL8V3obFi2DonCumW&branch=master
:target: https://ceholden.github.io/cedar-datacube/master/
:alt: Documentation
.. _rasterio: https://rasterio.readthedocs.io
.. _xarray: http://xarray.pydata.org
.. _dask: http://docs.dask.org/en/latest/
.. _distributed: http://distributed.dask.org/en/latest/
.. _netCDF4: http://unidata.github.io/netcdf4-python/
==========
Change Log
==========
All notable changes will appear in this log.
For information on the style of this change log, see
`keepachangelog.com <http://keepachangelog.com/>`__.
v0.0.4
======
* **Fixed** bug in ``cedar clean`` command
* The ``cedar convert`` program will now copy "pre-ARD" image metadata JSON
files to the destination directory alongside the "pre-ARD" images (GeoTIFFs
converted to NetCDF files). To prevent this behavior, pass
``--skip-metadata`` to the program.
* Changes were made in where exceptions are handled for the case where a user
requests a "pre-ARD" image that returns 0 search results (e.g., wrong time
period for sensor, bad historic coverage, etc). By default, ``Order.add``
will not raise an ``EmptyCollectionError`` when you try to add a "pre-ARD"
image that had 0 image results. You can force an error to be raised by
setting ``error_if_empty=True`` in either ``Order.add`` or
``Tracker.submit``.
v0.0.3
======
* **BREAKING CHANGE** - Require image collection filters to be specified in
the configuration file according to the image collection. This change
has been made to prepare for using image collections that do not
have the same filters (e.g., more than just ``LANDSAT/*/C01/T1_SR`` data)
* Add a check to make sure that ``Order.name_template`` creates unique names
for pre-ARD before continuing. If there are duplicate names, raises ValueError
* Fix warning when calculating mean/std runtime of tasks that haven't been
updated (``RuntimeWarning: Mean of empty slice``...)
* Provide better info in ``cedar status list`` when nothing is tracked because
the tracking folder doesn't exist
* Fix bug when ordering but not using filters that resulted in 0 images being
found
* Validate image collection names using ``click`` argument callback
in ``cedar submit`` CLI
* Improve error propagation inside ``cedar.ordering.Order`` and
``cedar.tracker.Tracker``. ``Order.add`` no longer catches and swallows
``EmptyCollectionError``, which now is handled in ``Tracker.submit``
v0.0.2
======
* Fix bug in jsonschema validation by allowing tuples & lists to count
as 'array'
* Added ``cedar status cancel`` command to cancel orders
* Refactor internals to use ``TrackingMetadata`` model
v0.0.1.post1
============
* Fix packaging issue (missing package data)
v0.0.1.post0
============
* Fix packaging issue
v0.0.1
======
* First public release
نیازمندی
| مقدار | نام |
|---|---|
| - | earthengine-api |
| - | affine |
| - | numpy |
| - | pandas |
| - | rasterio |
| - | shapely |
| - | xarray |
| - | jsonschema |
| - | pyyaml |
| >=6.0 | click |
| - | click-plugins |
| >=0.5 | cligj |
| - | affine |
| - | click-plugins |
| >=6.0 | click |
| >=0.5 | cligj |
| - | coverage |
| - | earthengine-api |
| - | google-api-python-client |
| - | google-auth-httplib2 |
| - | google-auth-oauthlib |
| - | google-cloud-storage |
| - | jsonschema |
| - | numpy |
| - | numpydoc |
| - | pandas |
| - | pytest |
| - | pytest-cov |
| - | pytest-lazy-fixture |
| - | pyyaml |
| - | rasterio |
| - | shapely |
| - | sphinx |
| - | sphinx-rtd-theme |
| - | sphinxcontrib-bibtex |
| - | sphinxcontrib-programoutput |
| - | stems |
| - | xarray |
| - | earthengine-api |
| - | affine |
| - | numpy |
| - | pandas |
| - | rasterio |
| - | shapely |
| - | xarray |
| - | jsonschema |
| - | pyyaml |
| >=6.0 | click |
| - | click-plugins |
| >=0.5 | cligj |
| - | google-cloud-storage |
| - | google-api-python-client |
| - | google-auth-httplib2 |
| - | google-auth-oauthlib |
| - | stems |
| - | pytest |
| - | pytest-cov |
| - | pytest-lazy-fixture |
| - | coverage |
| - | sphinx |
| - | sphinx-rtd-theme |
| - | sphinxcontrib-programoutput |
| - | sphinxcontrib-bibtex |
| - | numpydoc |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl cedar-datacube-0.0.4:
pip install cedar-datacube-0.0.4.whl
نصب پکیج tar.gz cedar-datacube-0.0.4:
pip install cedar-datacube-0.0.4.tar.gz