Creator for Analysis Ready Data (ARD)
Project description
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 |
Change Log
All notable changes will appear in this log. Changes are categorized into “Added”, “Changed”, “Fixed”, and “Removed”. To see a comparison between releases on Github, click or follow the release version number URL.
For information on the style of this change log, see keepachangelog.com.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cedar-datacube-0.0.1.post0.tar.gz.
File metadata
- Download URL: cedar-datacube-0.0.1.post0.tar.gz
- Upload date:
- Size: 134.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed88b3e688a28736d300852e506680f565c8a602b15594d7f9a7dff67ee60069
|
|
| MD5 |
4528ef83b36e2e4c7ba58e7409740801
|
|
| BLAKE2b-256 |
960f9abd870cc810555a30d9c414d555c9eeaf58f36fe440ec335b1b5e8a3921
|
File details
Details for the file cedar_datacube-0.0.1.post0-py3-none-any.whl.
File metadata
- Download URL: cedar_datacube-0.0.1.post0-py3-none-any.whl
- Upload date:
- Size: 57.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c0eb2e58182c1e277f3abaac1c1626cb7d9f00a5b7641774d22cac485fa3522c
|
|
| MD5 |
58ce56163ad66170e073ce93134c1a31
|
|
| BLAKE2b-256 |
c89ff25cbe859b86396fd81f2591e737e8054afa6b5edd4c1cd628dd9f4ab32a
|
