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 42 to 46-digit naming convention is applied to all output files:

Example filename: 1984-2020_182-274_HL_TSA_LNDLG_TCG_STM.tif

Table 1: Naming convention

Digits	Description
1–9	Temporal range for the years as YYYY–YYYY
11-17	Temporal range for the DOY as DDD–DDD
19-20	Product Level
22-24	Submodule
26-30	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
32–34	Index Short Name
	BLU	Blue band
	GRN	Green band
	RED	Red band
	NIR	Near Infrared band
	SW1	Shortwave Infrared band 1
	SW2	Shortwave Infrared band 2
	RE1	Red Edge band 1
	RE2	Red Edge band 2
	RE3	Red Edge band 3
	BNR	Broad Near Infrared band
	NDV	Normalized Difference Vegetation Index
	EVI	Enhanced Vegetation Index
	NBR	Normalized Burn Ratio
	ARV	Atmospherically Resistant Vegetation Index
	SAV	Soil Adjusted Vegetation Index
	SRV	Soil and Atmospherically Resistant Vegetation Index
	TCB	Tasseled Cap Brightness
	TCG	Tasseled Cap Greenness
	TCW	Tasseled Cap Wetness
	TCD	Tasseled Cap Disturbance Index (without rescaling)
	NDB	Normalized Difference Building Index
	NDW	Normalized Difference Water Index
	MNW	modified Normalized Difference Water Index
	NDS	Normalized Difference Snow Index
	SMA	Spectral Mixture Analysis abundance
	BVV	VV Polarized band
	BVH	VH Polarized band
	ND1	Normalized Difference Red Edge Index 1
	ND2	Normalized Difference Red Edge Index 2
	CRE	Chlorophyll Index Red Edge
	NR1	Normalized Difference Vegetation Index red edge 1
NR2	Normalized Difference Vegetation Index red edge 2
NR3	Normalized Difference Vegetation Index red edge 3
N1N	Normalized Difference Vegetation Index red edge 1 narrow
N2N	Normalized Difference Vegetation Index red edge 2 narrow
N3N	Normalized Difference Vegetation Index red edge 3 narrow
MRE	Modified Simple Ratio red edge
MRN	Modified Simple Ratio red edge narrow
CCI	Chlorophyll Carotenoid Index
36-38	Product Type
	TSS	Time Series Stack
	TSI	Time Series Interpolation
	RMS	RMSE Time Series of SMA
	STM	Spectral Temporal Metrics
	FBX	Fold-by-X Time Series (replace X with Table 2)
	TRX	Trend Analysis on Folds (replace X with Table 2)
	CAX	Extended CAT Analysis on Folds (replace X with Table 2)
36-42	Product Type: Phenometrics (replace XXX with Table 3)
	XXX-LSP	Phenometrics
	XXX-TRP	Trend Analysis on Phenometrics
	XXX-CAP	Extended CAT Analysis on Phenometrics
36-42	Product Type: Polarmetrics (replace XXX with Table 3)
	XXX-POL	Polarmetrics
	XXX-TRO	Trend Analysis on Polarmetrics
	XXX-CAO	Extended CAT Analysis on Polarmetrics
40-42 / 44-46	File extension
	tif	image data in compressed GeoTiff format
	dat	image data in flat binary ENVI format
	hdr	metadata for ENVI format

Folding

Table 2: Folding tags

Letter	Description
Y	Fold by Year
Q	Fold by Quarter
M	Fold by Month
W	Fold by Week
D	Fold by Day

Phenology

Table 3: Phenology name tags

Tag	Description
DEM	Date of Early Minimum
DSS	Date of Start of Season
DPS	Date of Peak of Season
DMS	Date of Mid of Season
DES	Date of End of Season
DLM	Date of Late Minimum
DEV	Date of Early Average Vector
DAV	Date of Average Vector
DLV	Date of Late Average Vector
DPY	Date of Start of Phenological Year
DPV	delta Date of adaptive Start of Phenological Year
LTS	Length of Total Season
LGS	Length of Green Season
LGV	Length of between early/late vectors
VEM	Value of Early Minimum
VSS	Value of Start of Season
VPS	Value of Peak of Season
VMS	Value of Mid of Season
VES	Value of End of Season
VLM	Value of Late Minimum
VEV	Value of Early Average Vector
VAV	Value of Average Vector
VLV	Value of Late Average Vector
VBL	Value of Base Level
VSA	Value of Seasonal Amplitude
VGA	Value of Green Amplitude
VPA	Value of Peak Amplitude
VGM	Value of Green Mean
VGV	Value of Green Variability
IST	Integral of Total Season
IBL	Integral of Base Level
IBT	Integral of Base+Total
IGS	Integral of Green Season
IRR	Integral of Rising Rate
IFR	Integral of Falling Rate
RAR	Rate of Average Rising
RAF	Rate of Average Falling
RMR	Rate of Maximum Rising
RMF	Rate of Maximum Falling

Product type

• Time Series Time Series products have as many bands as there are available or requested time steps. If no temporal subset was specified: the TSS product contains one band per available acquisition (this may vary between the tiles), the RMS product contains one band per available acquisition (this may vary between the tiles), the TSI product contains one band per interpolation step, the FBY product contains one band per year (do not overdo YEAR_MIN/MAX, this will give many useless bands), the FBM product contains one band per month (up to 12, depends on MONTH_MIN/MAX and DOY_MIN/MAX), the FBW contains one band per week (up to 52, depends on MONTH_MIN/MAX and DOY_MIN/MAX), the FBD product contains one band per DOY (up to 365, depends on MONTH_MIN/MAX and DOY_MIN/MAX), the 26 LSP products contain one band per year (do not overdo YEAR_MIN/MAX, this will give many useless bands).

Trend Analysis

The Trend Analysis products contains trend parameters:

Band	Description
1	Average
2	Intercept
3	Trend
4	relative change
5	absolute change
6	R-squared
7	Significance (-1, 0, 1)
8	Root Mean Squared Error
9	Mean Absolute Error
10	Maximum Absolute Residual
11	Number of used observations
12	Length of time series

Change and Trend

The Change, Aftereffect, Trend (CAT) product (following [Hird et al. 2016](https://ieeexplore.ieee.org/document/7094220) contains extended change and trend parameters. CAT detects one change per time series, splits the time series into three parts, and derives trend parameters for the three parts:

Band	Description
1	Magnitude of change
2	Relative change
3	Time of change
4 to 15	Trend parameters for complete time series (see Trend product)
16 to 27	Trend parameters for time series before change (see Trend product)
28 to 39	Trend parameters for time series after change (see Trend product)