Search bulk Landsat metadata files, and then download the resulting Landsat scenes.
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Description: ## Parse Bulk Landsat Metadata
USGS conveniently hosts a bulk metadata service located [here](https://www.usgs.gov/land-resources/nli/landsat/bulk-metadata-service).
Less conveniently, you get a large metadata file with no way to parse it.
This project implements a CLI to parse the bulk metadata files and output .xml based on the user’s search parameters. It also creates a .txt file with each Landsat sceneID for use with [EarthExplorer](https://earthexplorer.usgs.gov/). Users can search by date-range, cloud cover percentage, and whether a lat/lon point is within the scene.
A USGS EROS [account](https://ers.cr.usgs.gov/login/) is required if you want to download.
` -f filename -d YYYYMMDD_YYYYMMDD inclusive date range -c max acceptable cloud cover in scene -b lat,lon boundary. the search only supports point based boundary. `
`commandline cd /filepath/to/bulkmetadata parse_landsat_xml.py -f LANDSAT_8_C1.xml -d 20180101_20190101 -c 50 -b 12.114993-86.236176 download_from_scene_list.py `
Platform: UNKNOWN Classifier: Programming Language :: Python :: 3 Classifier: License :: Unlicense Classifier: Topic :: Landsat :: data conversion Description-Content-Type: text/markdown
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