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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
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_50KKB_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGK_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_50KKA_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-05-18_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JHN_2018-05-18_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDT_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JWM_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HWF_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDP_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HVF_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDU_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KEU_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KBU_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HWJ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55HBD_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HYJ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55LCC_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HXD_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HUD_2018-05-19_final.stac-item
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55LFC_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HYD_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDV_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KEV_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDB_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KEB_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55JBF_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55HCE_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JYQ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JXN_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HYK_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55JBK_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HWD_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55HBE_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HVD_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HVC_2018-05-19_final.stac-item
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HXH_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JXQ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HXC_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55JCM_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KCQ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KCR_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KBR_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KBV_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KES_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KCS_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDS_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KDQ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KEQ_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JYL_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54HXG_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55JDN_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54JZT_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KCB_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54KZV_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54KZU_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54KZA_2018-05-19_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_54KZC_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KVT_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNP_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KQD_2018-05-19_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KQB_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KTU_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KVU_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LUC_2018-05-19_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KVB_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KVV_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KWB_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JQQ_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPN_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51JTK_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPQ_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPT_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LWG_2018-05-19_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRD_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUV_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51JUM_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LVG_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUQ_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUR_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KPV_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KVS_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KTR_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUS_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KQA_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRC_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRB_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUB_2018-05-19_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRV_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JRT_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNH_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLH_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNJ_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMH_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQJ_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPH_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_51JTF_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQK_2018-05-19_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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