Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-11-09_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JFN_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JHN_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_50KKA_2017-11-09_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54JZS_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54KZC_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KCB_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KFB_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54JZT_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54KZU_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KEB_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KCV_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55LCC_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55LFC_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54KZV_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54KZB_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KEV_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDV_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_54KZA_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55JCN_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDB_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KCU_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55LEC_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KFU_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDA_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KET_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KEQ_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDQ_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KCS_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDT_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55JDM_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55JBM_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KBU_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KCT_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDU_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDP_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KDS_2017-11-10_final
2017-11-10 09:57:06	ga_s2am_ard_3-2-1_55KES_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JZS_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JZT_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBL_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JYR_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWF_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWD_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55HBD_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXJ_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVG_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWG_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55HBB_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYJ_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYG_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JCH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXG_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXC_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYK_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWC_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBK_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HUD_2017-11-10_final.stac-item
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYD_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JXN_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXD_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVD_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVC_2017-11-10_final.stac-item
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JXQ_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JXM_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXK_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55HBV_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JWL_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBG_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JYM_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JWM_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55HBE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBF_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JDL_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55HCE_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JCK_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JYL_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JXL_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVF_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HXF_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JDM_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JYS_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBM_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HWJ_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54JYN_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBH_2017-11-10_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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