Search ga_s2am_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-01-23 10:50:21	ga_s2am_ard_3-2-1_53LQG_2024-01-23_final
2024-01-23 10:50:28	ga_s2am_ard_3-2-1_53LPG_2024-01-23_final
2024-01-23 10:50:35	ga_s2am_ard_3-2-1_53LMG_2024-01-23_final
2024-01-23 10:50:41	ga_s2am_ard_3-2-1_53LLG_2024-01-23_final
2024-01-23 10:51:00	ga_s2am_ard_3-2-1_53LNE_2024-01-23_final
2024-01-23 10:51:11	ga_s2am_ard_3-2-1_53LPD_2024-01-23_final
2024-01-23 10:51:15	ga_s2am_ard_3-2-1_53LND_2024-01-23_final
2024-01-23 10:51:21	ga_s2am_ard_3-2-1_53LLD_2024-01-23_final
2024-01-23 10:51:44	ga_s2am_ard_3-2-1_53KNB_2024-01-23_final
2024-01-23 10:52:08	ga_s2am_ard_3-2-1_53KKA_2024-01-23_final
2024-01-23 10:52:22	ga_s2am_ard_3-2-1_53KKV_2024-01-23_final
2024-01-23 10:52:34	ga_s2am_ard_3-2-1_53KLU_2024-01-23_final
2024-01-23 10:52:45	ga_s2am_ard_3-2-1_53KMT_2024-01-23_final
2024-01-23 10:52:49	ga_s2am_ard_3-2-1_53KLT_2024-01-23_final
2024-01-23 10:52:52	ga_s2am_ard_3-2-1_52KHC_2024-01-23_final
2024-01-23 10:53:06	ga_s2am_ard_3-2-1_53KKS_2024-01-23_final
2024-01-23 10:53:14	ga_s2am_ard_3-2-1_52KGB_2024-01-23_final
2024-01-23 10:53:33	ga_s2am_ard_3-2-1_52KHV_2024-01-23_final
2024-01-23 10:53:34	ga_s2am_ard_3-2-1_52KGV_2024-01-23_final
2024-01-23 10:53:38	ga_s2am_ard_3-2-1_53KLP_2024-01-23_final
2024-01-23 10:53:41	ga_s2am_ard_3-2-1_52KGV_2024-01-23_final
2024-01-23 10:53:47	ga_s2am_ard_3-2-1_53KLP_2024-01-23_final
2024-01-23 10:53:50	ga_s2am_ard_3-2-1_52KHU_2024-01-23_final
2024-01-23 10:54:16	ga_s2am_ard_3-2-1_53JLM_2024-01-23_final
2024-01-23 10:54:19	ga_s2am_ard_3-2-1_53JKM_2024-01-23_final
2024-01-23 10:54:23	ga_s2am_ard_3-2-1_52JGS_2024-01-23_final
2024-01-23 10:54:34	ga_s2am_ard_3-2-1_53JKL_2024-01-23_final
2024-01-23 10:54:52	ga_s2am_ard_3-2-1_52JGQ_2024-01-23_final
2024-01-23 10:54:55	ga_s2am_ard_3-2-1_52JFQ_2024-01-23_final
2024-01-23 10:55:06	ga_s2am_ard_3-2-1_52JGP_2024-01-23_final
2024-01-23 10:55:17	ga_s2am_ard_3-2-1_53JKH_2024-01-23_final
2024-01-23 10:55:39	ga_s2am_ard_3-2-1_52JFM_2024-01-23_final
2024-01-23 10:56:14	ga_s2am_ard_3-2-1_52HDK_2024-01-23_final
2024-01-23 10:56:18	ga_s2am_ard_3-2-1_52HDK_2024-01-23_final
2024-01-24 10:20:12	ga_s2am_ard_3-2-1_54LWN_2024-01-24_final
2024-01-24 10:20:21	ga_s2am_ard_3-2-1_54LXM_2024-01-24_final
2024-01-24 10:20:29	ga_s2am_ard_3-2-1_54LZL_2024-01-24_final
2024-01-24 10:20:43	ga_s2am_ard_3-2-1_54LZK_2024-01-24_final
2024-01-24 10:20:54	ga_s2am_ard_3-2-1_54LWK_2024-01-24_final
2024-01-24 10:21:01	ga_s2am_ard_3-2-1_54LYJ_2024-01-24_final
2024-01-24 10:21:26	ga_s2am_ard_3-2-1_54LVH_2024-01-24_final
2024-01-24 10:21:45	ga_s2am_ard_3-2-1_54KYF_2024-01-24_final
2024-01-24 10:22:03	ga_s2am_ard_3-2-1_54KXE_2024-01-24_final
2024-01-24 10:22:07	ga_s2am_ard_3-2-1_54KYD_2024-01-24_final
2024-01-24 10:22:17	ga_s2am_ard_3-2-1_54KXD_2024-01-24_final
2024-01-24 10:22:39	ga_s2am_ard_3-2-1_54KVC_2024-01-24_final
2024-01-24 10:22:53	ga_s2am_ard_3-2-1_54KVB_2024-01-24_final
2024-01-24 10:22:56	ga_s2am_ard_3-2-1_54KUB_2024-01-24_final
2024-01-24 10:23:04	ga_s2am_ard_3-2-1_54KWA_2024-01-24_final
2024-01-24 10:23:19	ga_s2am_ard_3-2-1_54KWV_2024-01-24_final
2024-01-24 10:23:22	ga_s2am_ard_3-2-1_54KVV_2024-01-24_final
2024-01-24 10:23:43	ga_s2am_ard_3-2-1_54KTU_2024-01-24_final
2024-01-24 10:23:51	ga_s2am_ard_3-2-1_54JVT_2024-01-24_final
2024-01-24 10:23:55	ga_s2am_ard_3-2-1_54JUT_2024-01-24_final
2024-01-24 10:24:02	ga_s2am_ard_3-2-1_54JWS_2024-01-24_final
2024-01-24 10:24:14	ga_s2am_ard_3-2-1_54JWR_2024-01-24_final
2024-01-24 10:24:33	ga_s2am_ard_3-2-1_53JQL_2024-01-24_final
2024-01-24 10:24:42	ga_s2am_ard_3-2-1_54JTQ_2024-01-24_final
2024-01-24 10:25:08	ga_s2am_ard_3-2-1_54JUN_2024-01-24_final
2024-01-24 10:25:14	ga_s2am_ard_3-2-1_53JQH_2024-01-24_final
2024-01-24 10:25:33	ga_s2am_ard_3-2-1_53JPG_2024-01-24_final
2024-01-24 10:25:40	ga_s2am_ard_3-2-1_54JTL_2024-01-24_final
2024-01-24 10:25:46	ga_s2am_ard_3-2-1_53JPF_2024-01-24_final
2024-01-24 10:25:51	ga_s2am_ard_3-2-1_54HUK_2024-01-24_final
2024-01-24 10:25:55	ga_s2am_ard_3-2-1_54HTK_2024-01-24_final
2024-01-24 10:25:57	ga_s2am_ard_3-2-1_53HQE_2024-01-24_final
2024-01-24 10:26:00	ga_s2am_ard_3-2-1_53HPE_2024-01-24_final
2024-01-24 10:26:09	ga_s2am_ard_3-2-1_54HTJ_2024-01-24_final
2024-01-24 10:26:11	ga_s2am_ard_3-2-1_53HQD_2024-01-24_final
2024-01-24 10:26:53	ga_s2am_ard_3-2-1_54HTF_2024-01-24_final
2024-01-24 12:03:17	ga_s2am_ard_3-2-1_50KMC_2024-01-24_final
2024-01-24 12:03:20	ga_s2am_ard_3-2-1_50KLC_2024-01-24_final
2024-01-24 12:03:27	ga_s2am_ard_3-2-1_50KNB_2024-01-24_final
2024-01-24 12:03:34	ga_s2am_ard_3-2-1_50KLB_2024-01-24_final
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_50KNA_2024-01-24_final
2024-01-24 12:03:49	ga_s2am_ard_3-2-1_50KLA_2024-01-24_final
2024-01-24 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-24_final
2024-01-24 12:04:21	ga_s2am_ard_3-2-1_49KHP_2024-01-24_final
2024-01-24 12:04:21	ga_s2am_ard_3-2-1_50KKU_2024-01-24_final
2024-01-24 12:04:36	ga_s2am_ard_3-2-1_50JKT_2024-01-24_final
2024-01-24 12:04:39	ga_s2am_ard_3-2-1_49JGN_2024-01-24_final
2024-01-24 12:04:47	ga_s2am_ard_3-2-1_50JLS_2024-01-24_final
2024-01-24 12:04:50	ga_s2am_ard_3-2-1_49JHM_2024-01-24_final
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final
2024-01-24 12:05:31	ga_s2am_ard_3-2-1_50JLP_2024-01-24_final
2024-01-24 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2024-01-24_final
2024-01-24 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-24_final
2024-01-24 12:05:52	ga_s2am_ard_3-2-1_49JGH_2024-01-24_final
2024-01-24 12:06:08	ga_s2am_ard_3-2-1_50JLL_2024-01-24_final
2024-02-04 11:30:31	ga_s2am_ard_3-2-1_52LBN_2024-02-04_nrt
2024-02-05 09:27:53	ga_s2am_ard_3-2-1_55GGR_2024-02-04_nrt
2024-02-05 09:28:08	ga_s2am_ard_3-2-1_55GGQ_2024-02-04_nrt
2024-02-05 09:28:19	ga_s2am_ard_3-2-1_56GLU_2024-02-04_nrt
2024-02-05 09:28:22	ga_s2am_ard_3-2-1_55GGP_2024-02-04_nrt
2024-02-05 09:28:29	ga_s2am_ard_3-2-1_56GLT_2024-02-04_nrt
2024-02-05 09:28:31	ga_s2am_ard_3-2-1_55GGN_2024-02-04_nrt
2024-02-05 09:28:32	ga_s2am_ard_3-2-1_55GGP_2024-02-04_nrt
2024-02-05 09:28:36	ga_s2am_ard_3-2-1_56GLT_2024-02-04_nrt
2024-02-05 09:28:38	ga_s2am_ard_3-2-1_55GGN_2024-02-04_nrt
2024-02-05 09:28:50	ga_s2am_ard_3-2-1_55GGM_2024-02-04_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years