Package: landsat-L1-qa-tool
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.For more information, please refer to <http://unlicense.org/>
Description: ## BackgroundLandsat-8 Level 1 scenes come with a quality assessment band (BQA) that shows various forms of atmospheric and other interference present in the image.The accompanying BQA file is a GeoTIFF with bit-packed values corresponding to an internal USGS numbering scheme. You can learn about these values and the BQA band in general by reading the USGS overview located [here](https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band?qt-science_support_page_related_con=0#qt-science_support_page_related_con). There is also a more in-depth PDF titled ‘Landsat Quality Assessment (QA) Tools User’s Guide’.## UsageThis CLI tool may be useful to you if you are working with Landsat-8 quality assessment data in Python 3.This tool is written to search the directory where it is run, and all sub-directories for Landsat-8 BQA bands. It then ‘unpacks’ the bit packed BQA raster and creates a new GeoTIFF for each USGS quality measure that the user specifies. Finally, the tool takes the new quality bands for each scene and creates a composite image stack for each quality control measure.For example, you can take a directory of Landsat-8 scenes, pull out all cloudy pixels, and create a composite image showing all cloudy pixels in the stack.This is helpful for time series analysis because you can identify atmospheric interference over time.Flags correspond to each quality assessment layer identified by USGS.
The following will produce individual BQA band files for every quality assessment type identified by USGS and then build composites from each quality assessment type.`commandline cd /filepath/to/top_dir_for_landsat_scenes landsat_L1_qa_tool-c-f-t-r-cl-cc-cs-ci-s`Quality assessment types:`commandline-c--clear-terrain-f--fill-t--terrain-occlusion-r--radiometric-saturation-cl--clouds-cc--cloud-confidence-cs--cloud-shadow-ci--cirrus-s--snow-ice`## Other ToolsOther great tools exist, and are more comprehensive.-USGS has several offerings [here](https://www.usgs.gov/land-resources/nli/landsat/landsat-quality-assessment-tools).-USGS EROS offers [landsat-qa-arcgis-toolbox](https://github.com/USGS-EROS/landsat-qa-arcgis-toolbox), [espa-science-validation](https://github.com/USGS-EROS/espa-science-validation), and [espa-l2qa-tools](https://github.com/USGS-EROS/espa-l2qa-tools).-Rasterio’s Landsat-8 QA tools is [here](https://github.com/mapbox/rio-l8qa).Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: Unlicense
Classifier: Topic :: Landsat :: data conversion
Description-Content-Type: text/markdown