Metadata-Version: 2.1
Name: FeLS
Version: 1.3.6
Summary: Fetch Landsat & Sentinel Data from google cloud
Home-page: https://github.com/vascobnunes/fetchLandsatSentinelFromGoogleCloud
Author: vascobnunes
Author-email: vascobnunes@gmail.com
License: GPL
Description: # FeLS - Fetch Landsat & Sentinel Data from google cloud
        Find and download Landsat and Sentinel-2 data from the public Google Cloud
        
        The script downloads the index.csv file listing all available Landsat or Sentinel-2 tiles, then searches the file for one scene that matches user parameters.
        Once found, it downloads the image files.
        
        Small demo video: https://youtu.be/8zCs0nxl-rU
        
        Developed with/for Python 2.7 and 3.3+
        You may either install the package through pip:
        
        `       pip install fels`
        
        or if using a conda environment, the following steps are recommended to create and install dependencies:
        `       conda create --name fetchLSGC python=3`
        Switch to the new environment (`source activate fetchLSGC` in Linux), and install the gdal dependency from conda-forge
        `       conda config --add channels conda-forge`
        `       conda install gdal`
        
        Usage examples:
        
         - LINUX:
        
        `       fels 203031 OLI_TIRS 2015-01-01 2015-06-30 -c 30 -o ~/LANDSAT --latest --outputcatalogs /tmp`
        
        `       fels 44UPU S2 2016-10-01 2016-12-31 -o ~/SENTINEL2 -l --outputcatalogs /tmp`
        
         - WINDOWS:
        
        `       fels 203031 OLI_TIRS 2015-01-01 2015-06-30 -c 30 -o %TEMP%\LANDSAT --latest --outputcatalogs %TEMP%\LANDSAT`
        
        `       fels 44UPU S2 2016-10-01 2016-12-31 -o %TEMP%\SENTINEL2 -l --outputcatalogs %TEMP%\SENTINEL2`
        
        Options:
        
        `         -h, --help            show this help message and exit`
        
        `         -s SCENE, --scene=SCENE               TileID of scene (ex. 198030 for Landsat or 44UPU for Sentinel2)`
        
        `         -d START_DATE, --start_date=START_DATE start date, fmt('2013-12-23')`
        
        `         -f END_DATE, --end_date=END_DATE      end date, fmt('2013-12-23')`
        
        `         -o OUTPUT,                             Where to download files`
        
        `         -c CLOUDS, --cloudcover=CLOUDS        Set a limit to the cloud cover of the image`
        
        `         -b BIRD, --sat=BIRD                   Which satellite are you looking for. Available options are: TM, ETM, OLI_TIRS, S2`
        
        `         -l LIST,                              Just list the urls found, don't download`
        
        `         -e EXCLUDEPARTIAL,                    Exclude partial tiles - only for Sentinel-2`
        
        `         --latest LATEST,                      Choose the most recent image(s) that meet(s) the search criteria`
        
        `         --noinspire,                          Do not rename output image folder to the title collected from the inspire.xml file (only for S2 datasets)`
        
        `         --overwrite,                          Overwrite files if existing locally`
        
        `         --outputcatalogs=OUTPUTCATALOGS       Where to download metadata catalog files`
        
        Run the script with -h switch for more help usage.
        
        NOTE: Do not use python 3.8! Python 3.7.3 is good.
        
        You can read more about the public google access to Landsat and Sentinel-2 data here: https://cloud.google.com/storage/docs/public-datasets/
        
        Contributors (THANK YOU!):
         - https://github.com/framioco
         - https://github.com/bendv
         - https://github.com/GreatEmerald
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
