Output Format

Data organization

The data are organized in a gridded data structure, i.e. data cubes. The tiles manifest as directories in the file system, and the images are stored within.

See also

Check out this tutorial, which explains what a datacube is, how it is parameterized, how you can find a POI, how to visualize the tiling grid, and how to conveniently display cubed data.

Data Cube definition

The spatial data cube definition is appended to each data cube, i.e. to each directory containing tiled datasets, see Data Cube definition.

File format

Refer to Output format for details on the file format and metadata.

Naming convention

Following 29-digit naming convention is applied to all output files:

Example filename: 20160701_LEVEL3_LNDLG_BAP.tif

Digits	Description
1–8	Target date as YYYYMMDD
10–15	Product Level
17–21	Sensor ID
	LNDLG	Landsat legacy bands
	SEN2L	Sentinel-2 land bands
	SEN2H	Sentinel-2 high-res bands
	R-G-B	Visible bands
	VVVHP	VV/VH Dual Polarized
23–25	Product Type
	BAP	Best Available Pixel composite
	INF	Compositing Information
	SCR	Compositing Score
27–29	File extension
	tif	image data in compressed GeoTiff format
	dat	image data in flat binary ENVI format
	hdr	metadata for ENVI format

Product type

• Best Available Pixel composite

  A Best Available Pixel (BAP) composite is a reflectance product. It holds the reflectance of the most suitable observation - for each pixel. The scale is 10000, and nodata value is -9999. The product contains multiple bands, which represent wavelengths. The number of bands is dependent on the SENSOR used. All overlapping bands are used, and the output product is named according to this band set (see table above).

• Compositing Information

  The Compositing Information (INF) product contains information about the selected observation in the BAP product. It is a multi-band image:

  Band	Description
  1	Quality Assurance Information of best observation (see qai)
  2	Number of cloud-free observations within compositing period
  3	Acquisition DOY of best observation
  4	Acquisition Year of best observation
  5	Difference between band 3 and Target DOY
  6	Sensor ID of best observation (in the order given in the Parameterization)

• Compositing Score

  The Compositing Score (SCR) product contains the scores of the selected observation in the BAP product. The score is between 0 and 1, the scaling factor is 10000. It is a multi-band image:

  Band	Description
  1	Total score
  2	DOY score (intra-annual score)
  3	Year score (inter-annual score)
  4	Cloud distance score
  5	Haze score
  6	Correlation score
  7	View angle score

Quicklooks

If OUTPUT_OVV = TRUE, small quicklooks images are generated, The quicklooks are fixed-stretch images. For optical images, they are RGB quicklooks. For radar images, RGB refer to VV, VH, and VV/VH ratio.