eumap.datasets.eo.s2mosaic.s2tiler.S2Tiler

class S2Tiler(source, band, tile_name, satimgs, bucket, tmp_folder, data_folder, out_parent_folder, out_folder_prefix, debug=False, verbose=False, **kwargs)

Bases: object

Class that calculates one s2 tile of mosaic

param: source: Source of images param: band: Band name (‘B02’,’B03’, …) param: tile_name: Name of tile thats going to be mosaicked param: satimgs: Pandas DataFrame with all images to be mosaicked param: bucket: name of the bucket where result will be saved param: tmp_folder: temporary folder param: data_folder: folder for downloading source images param: out_arent_folder: param: out_folder_prefix: param: debug: If true then there is no uploading to AWS S3 param: verbose: param: kwargs: Additional arguments

returns:

Methods

geolocation_from_metadata	Read geolocation of source image from metadata.xml
get_relative_orbit_tileInfo	Read information on relative orbit from “tileInfo”
log
make_tile	Main procedure to make tile
mask_scl_s2l2a	Read mask raster from SCL file
move_tmp_to_s3	Move result image from temporary folder to S3
s3_path
tmp_path

Attributes

LOG
bd
output_filename
s3_path_cnt
scl_masked_values
tile_nodata
tmp_path_cnt
verbose

__call__()

Entry point for procedure

geolocation_from_metadata(fn_metadata, resolution=None)

Read geolocation of source image from metadata.xml

static get_relative_orbit_tileInfo(fn_tileInfo)

Read information on relative orbit from “tileInfo”

make_tile()

Main procedure to make tile

mask_scl_s2l2a(fn_scl, vrt_options)

Read mask raster from SCL file

param: fn_scl: File name of SCL layer param: vrt_options: Options for WarpedVRT

returns: numy array with mask according to ‘scl_masked_values’

move_tmp_to_s3()

Move result image from temporary folder to S3