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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
2020-12-20 12:05:06	ga_s2am_ard_3-2-1_50JLR_2020-12-20_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2020-12-20 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2020-12-20_final
2020-12-20 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2020-12-20_final
2020-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2020-12-20_final
2020-12-20 12:05:36	ga_s2am_ard_3-2-1_50JLP_2020-12-20_final
2020-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2020-12-20_final
2020-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2020-12-20_final
2020-12-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2020-12-20_final
2020-12-20 12:05:57	ga_s2am_ard_3-2-1_49JGH_2020-12-20_final.stac-item
2020-12-20 12:06:02	ga_s2am_ard_3-2-1_50JLM_2020-12-20_final
2020-12-20 12:06:08	ga_s2am_ard_3-2-1_50JKM_2020-12-20_final
2020-12-20 12:06:12	ga_s2am_ard_3-2-1_50JLL_2020-12-20_final
2020-12-21 09:51:32	ga_s2am_ard_3-2-1_55KFB_2020-12-21_final
2020-12-21 09:53:13	ga_s2am_ard_3-2-1_55KFQ_2020-12-21_final
2020-12-21 09:54:11	ga_s2am_ard_3-2-1_55JFL_2020-12-21_final
2020-12-21 09:54:21	ga_s2am_ard_3-2-1_55JCL_2020-12-21_final
2020-12-21 09:54:26	ga_s2am_ard_3-2-1_55JFK_2020-12-21_final
2020-12-21 09:54:29	ga_s2am_ard_3-2-1_55JEK_2020-12-21_final
2020-12-21 09:54:33	ga_s2am_ard_3-2-1_55JDK_2020-12-21_final
2020-12-21 09:54:36	ga_s2am_ard_3-2-1_55JCK_2020-12-21_final
2020-12-21 09:54:39	ga_s2am_ard_3-2-1_55JFJ_2020-12-21_final
2020-12-21 09:54:49	ga_s2am_ard_3-2-1_55JFH_2020-12-21_final
2020-12-21 09:54:51	ga_s2am_ard_3-2-1_55JCJ_2020-12-21_final
2020-12-21 09:54:58	ga_s2am_ard_3-2-1_55JEH_2020-12-21_final
2020-12-21 09:55:02	ga_s2am_ard_3-2-1_55JDH_2020-12-21_final
2020-12-21 09:55:05	ga_s2am_ard_3-2-1_55JCH_2020-12-21_final
2020-12-21 09:55:09	ga_s2am_ard_3-2-1_55JBH_2020-12-21_final
2020-12-21 09:55:20	ga_s2am_ard_3-2-1_55JCG_2020-12-21_final
2020-12-21 09:55:37	ga_s2am_ard_3-2-1_55JBF_2020-12-21_final
2020-12-21 09:55:41	ga_s2am_ard_3-2-1_55HEE_2020-12-21_final
2020-12-21 09:55:45	ga_s2am_ard_3-2-1_55HDE_2020-12-21_final
2020-12-21 09:55:49	ga_s2am_ard_3-2-1_55HCE_2020-12-21_final
2020-12-21 09:55:52	ga_s2am_ard_3-2-1_55HBE_2020-12-21_final
2020-12-21 09:55:53	ga_s2am_ard_3-2-1_55HED_2020-12-21_final
2020-12-21 09:55:55	ga_s2am_ard_3-2-1_54HYK_2020-12-21_final
2020-12-21 09:56:00	ga_s2am_ard_3-2-1_55HDD_2020-12-21_final
2020-12-21 09:56:04	ga_s2am_ard_3-2-1_55HCD_2020-12-21_final
2020-12-21 09:56:07	ga_s2am_ard_3-2-1_55HBD_2020-12-21_final
2020-12-21 09:56:08	ga_s2am_ard_3-2-1_54HYJ_2020-12-21_final
2020-12-21 09:56:14	ga_s2am_ard_3-2-1_55HDC_2020-12-21_final
2020-12-21 09:56:29	ga_s2am_ard_3-2-1_55HDB_2020-12-21_final
2020-12-21 09:56:33	ga_s2am_ard_3-2-1_55HCB_2020-12-21_final
2020-12-21 09:56:36	ga_s2am_ard_3-2-1_55HBB_2020-12-21_final
2020-12-21 09:56:38	ga_s2am_ard_3-2-1_54HYG_2020-12-21_final
2020-12-21 09:56:44	ga_s2am_ard_3-2-1_54HXG_2020-12-21_final
2020-12-21 09:56:51	ga_s2am_ard_3-2-1_55HBA_2020-12-21_final
2020-12-21 09:56:52	ga_s2am_ard_3-2-1_54HYF_2020-12-21_final
2020-12-21 09:56:57	ga_s2am_ard_3-2-1_55HDV_2020-12-21_final
2020-12-21 09:57:02	ga_s2am_ard_3-2-1_55HCV_2020-12-21_final
2020-12-21 09:57:05	ga_s2am_ard_3-2-1_55HBV_2020-12-21_final
2020-12-21 09:57:06	ga_s2am_ard_3-2-1_54HYE_2020-12-21_final
2020-12-21 09:57:07	ga_s2am_ard_3-2-1_55HDU_2020-12-21_final
2020-12-21 09:57:10	ga_s2am_ard_3-2-1_54HXE_2020-12-21_final
2020-12-21 09:57:16	ga_s2am_ard_3-2-1_55HCU_2020-12-21_final
2020-12-21 09:57:21	ga_s2am_ard_3-2-1_54HYD_2020-12-21_final
2020-12-21 09:57:25	ga_s2am_ard_3-2-1_54HXD_2020-12-21_final
2020-12-21 09:57:31	ga_s2am_ard_3-2-1_55HCT_2020-12-21_final
2020-12-21 09:57:34	ga_s2am_ard_3-2-1_55HBT_2020-12-21_final
2020-12-21 09:57:35	ga_s2am_ard_3-2-1_54HYC_2020-12-21_final
2020-12-21 09:57:39	ga_s2am_ard_3-2-1_54HXC_2020-12-21_final
2020-12-21 09:57:44	ga_s2am_ard_3-2-1_54HWC_2020-12-21_final
2020-12-21 09:58:18	ga_s2am_ard_3-2-1_55GBQ_2020-12-21_final.stac-item
2020-12-21 11:31:17	ga_s2am_ard_3-2-1_52LBK_2020-12-21_final
2020-12-21 11:31:19	ga_s2am_ard_3-2-1_51LZE_2020-12-21_final
2020-12-21 11:31:23	ga_s2am_ard_3-2-1_51LYE_2020-12-21_final
2020-12-21 11:31:59	ga_s2am_ard_3-2-1_51LWC_2020-12-21_final
2020-12-21 11:32:10	ga_s2am_ard_3-2-1_51KXB_2020-12-21_final
2020-12-21 11:32:13	ga_s2am_ard_3-2-1_51KWB_2020-12-21_final
2020-12-21 11:32:18	ga_s2am_ard_3-2-1_51KVB_2020-12-21_final
2020-12-21 11:32:27	ga_s2am_ard_3-2-1_51KWA_2020-12-21_final
2020-12-21 11:32:31	ga_s2am_ard_3-2-1_51KVA_2020-12-21_final
2020-12-21 11:32:39	ga_s2am_ard_3-2-1_51KXV_2020-12-21_final
2020-12-21 11:35:00	ga_s2am_ard_3-2-1_51JUL_2020-12-21_final
2020-12-21 11:35:14	ga_s2am_ard_3-2-1_51JUK_2020-12-21_final
2020-12-21 11:35:17	ga_s2am_ard_3-2-1_51JTK_2020-12-21_final
2020-12-21 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2020-12-21_final
2020-12-21 11:35:40	ga_s2am_ard_3-2-1_51JVH_2020-12-21_final
2020-12-21 11:35:43	ga_s2am_ard_3-2-1_51JUH_2020-12-21_final
2020-12-21 11:35:46	ga_s2am_ard_3-2-1_51JTH_2020-12-21_final
2020-12-21 11:35:49	ga_s2am_ard_3-2-1_50JQN_2020-12-21_final
2020-12-21 11:35:58	ga_s2am_ard_3-2-1_51JUG_2020-12-21_final
2020-12-21 11:36:16	ga_s2am_ard_3-2-1_51JTF_2020-12-21_final
2020-12-21 11:36:18	ga_s2am_ard_3-2-1_50JQL_2020-12-21_final
2020-12-21 11:36:22	ga_s2am_ard_3-2-1_51HVE_2020-12-21_final
2020-12-21 11:36:25	ga_s2am_ard_3-2-1_50JPL_2020-12-21_final
2020-12-21 11:36:27	ga_s2am_ard_3-2-1_51HUE_2020-12-21_final
2020-12-21 11:36:30	ga_s2am_ard_3-2-1_51HTE_2020-12-21_final
2020-12-21 11:36:32	ga_s2am_ard_3-2-1_51HVD_2020-12-21_final
2020-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2020-12-21_final
2020-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2020-12-21_final
2020-12-21 11:36:41	ga_s2am_ard_3-2-1_51HUD_2020-12-21_final
2020-12-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2020-12-21_final
2020-12-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2020-12-21_final
2020-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2020-12-21_final
2020-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2020-12-21_final
2020-12-21 11:37:11	ga_s2am_ard_3-2-1_51HUB_2020-12-21_final.stac-item
2020-12-21 11:37:14	ga_s2am_ard_3-2-1_51HTB_2020-12-21_final.stac-item
2020-12-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2020-12-21_final.stac-item
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item

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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