Search ga_s2bm_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
2023-07-14 09:49:50	ga_s2bm_ard_3-2-1_55LHJ_2023-07-14_nrt
2023-07-14 09:50:03	ga_s2bm_ard_3-2-1_55LHH_2023-07-14_nrt
2023-07-14 09:50:04	ga_s2bm_ard_3-2-1_55LGH_2023-07-14_nrt
2023-07-14 09:51:07	ga_s2bm_ard_3-2-1_55LHD_2023-07-14_nrt
2023-07-14 09:51:08	ga_s2bm_ard_3-2-1_55LGD_2023-07-14_nrt
2023-07-14 09:51:17	ga_s2bm_ard_3-2-1_55LHC_2023-07-14_final
2023-07-14 09:51:20	ga_s2bm_ard_3-2-1_55LGC_2023-07-14_final
2023-07-14 09:51:31	ga_s2bm_ard_3-2-1_55KHB_2023-07-14_final
2023-07-14 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2023-07-14_final
2023-07-14 09:51:45	ga_s2bm_ard_3-2-1_55KHA_2023-07-14_nrt
2023-07-14 09:51:49	ga_s2bm_ard_3-2-1_55KGA_2023-07-14_nrt
2023-07-14 09:52:00	ga_s2bm_ard_3-2-1_55KHV_2023-07-14_nrt
2023-07-14 09:52:04	ga_s2bm_ard_3-2-1_55KGV_2023-07-14_nrt
2023-07-14 09:52:18	ga_s2bm_ard_3-2-1_55KGU_2023-07-14_final
2023-07-14 09:52:32	ga_s2bm_ard_3-2-1_55KGT_2023-07-14_final
2023-07-14 09:52:47	ga_s2bm_ard_3-2-1_55KGS_2023-07-14_final
2023-07-14 09:53:01	ga_s2bm_ard_3-2-1_55KGR_2023-07-14_final
2023-07-18 09:35:07	ga_s2bm_ard_3-2-1_55JGH_2023-07-18_final
2023-07-18 09:35:21	ga_s2bm_ard_3-2-1_55JGG_2023-07-18_final
2023-07-18 09:35:33	ga_s2bm_ard_3-2-1_56JKL_2023-07-18_final
2023-07-18 09:35:35	ga_s2bm_ard_3-2-1_55JGF_2023-07-18_final
2023-07-18 09:35:48	ga_s2bm_ard_3-2-1_56HKK_2023-07-18_final
2023-07-18 09:35:50	ga_s2bm_ard_3-2-1_55HGE_2023-07-18_final
2023-07-18 09:36:02	ga_s2bm_ard_3-2-1_56HKJ_2023-07-18_final
2023-07-18 09:36:04	ga_s2bm_ard_3-2-1_55HGD_2023-07-18_final
2023-07-18 09:36:17	ga_s2bm_ard_3-2-1_56HKH_2023-07-18_final
2023-07-18 09:36:19	ga_s2bm_ard_3-2-1_55HGC_2023-07-18_final
2023-07-18 09:36:31	ga_s2bm_ard_3-2-1_56HKG_2023-07-18_final
2023-07-18 09:36:33	ga_s2bm_ard_3-2-1_55HGB_2023-07-18_final
2023-07-18 09:36:46	ga_s2bm_ard_3-2-1_56HKF_2023-07-18_final
2023-07-18 09:36:48	ga_s2bm_ard_3-2-1_55HGA_2023-07-18_final
2023-07-18 09:37:00	ga_s2bm_ard_3-2-1_56HKE_2023-07-18_nrt
2023-07-18 09:37:02	ga_s2bm_ard_3-2-1_55HGV_2023-07-18_final
2023-07-18 09:37:15	ga_s2bm_ard_3-2-1_56HKD_2023-07-18_nrt
2023-07-18 09:37:16	ga_s2bm_ard_3-2-1_55HGU_2023-07-18_final
2023-07-18 09:37:29	ga_s2bm_ard_3-2-1_56HKC_2023-07-18_nrt
2023-07-18 09:37:30	ga_s2bm_ard_3-2-1_55HGT_2023-07-18_nrt
2023-07-18 09:37:44	ga_s2bm_ard_3-2-1_56HKB_2023-07-18_nrt
2023-07-18 09:37:45	ga_s2bm_ard_3-2-1_55HGS_2023-07-18_nrt
2023-07-18 09:37:59	ga_s2bm_ard_3-2-1_56GKA_2023-07-18_nrt
2023-07-18 09:37:59	ga_s2bm_ard_3-2-1_55GGR_2023-07-18_nrt
2023-07-18 09:38:13	ga_s2bm_ard_3-2-1_56GKV_2023-07-18_nrt
2023-07-18 09:38:13	ga_s2bm_ard_3-2-1_55GGQ_2023-07-18_nrt
2023-07-21 09:42:39	ga_s2bm_ard_3-2-1_55KGT_2023-07-21_final
2023-07-21 09:42:52	ga_s2bm_ard_3-2-1_55KGS_2023-07-21_final
2023-07-21 09:43:07	ga_s2bm_ard_3-2-1_55KGR_2023-07-21_final
2023-07-21 09:43:22	ga_s2bm_ard_3-2-1_55KGQ_2023-07-21_final
2023-07-21 09:43:36	ga_s2bm_ard_3-2-1_55KGP_2023-07-21_final
2023-07-21 09:43:50	ga_s2bm_ard_3-2-1_55JGN_2023-07-21_final
2023-07-21 09:44:05	ga_s2bm_ard_3-2-1_55JGM_2023-07-21_final
2023-07-21 09:44:19	ga_s2bm_ard_3-2-1_55JGL_2023-07-21_final
2023-07-21 09:44:34	ga_s2bm_ard_3-2-1_55JGK_2023-07-21_final
2023-07-21 09:44:48	ga_s2bm_ard_3-2-1_55JGJ_2023-07-21_final
2023-07-21 09:45:03	ga_s2bm_ard_3-2-1_55JGH_2023-07-21_final
2023-07-21 09:45:17	ga_s2bm_ard_3-2-1_55JGG_2023-07-21_final
2023-07-21 09:45:28	ga_s2bm_ard_3-2-1_56JKL_2023-07-21_final
2023-07-21 09:45:31	ga_s2bm_ard_3-2-1_55JGF_2023-07-21_final
2023-07-21 09:45:38	ga_s2bm_ard_3-2-1_56HKK_2023-07-21_final
2023-07-21 09:45:46	ga_s2bm_ard_3-2-1_55HGE_2023-07-21_final
2023-07-24 09:49:51	ga_s2bm_ard_3-2-1_55LHJ_2023-07-24_nrt
2023-07-24 09:50:05	ga_s2bm_ard_3-2-1_55LHH_2023-07-24_nrt
2023-07-24 09:50:08	ga_s2bm_ard_3-2-1_55LGH_2023-07-24_nrt
2023-07-24 09:50:13	ga_s2bm_ard_3-2-1_55LHG_2023-07-24_nrt
2023-07-24 09:50:14	ga_s2bm_ard_3-2-1_55LGG_2023-07-24_nrt
2023-07-24 09:51:08	ga_s2bm_ard_3-2-1_55LHD_2023-07-24_nrt
2023-07-24 09:51:09	ga_s2bm_ard_3-2-1_55LGD_2023-07-24_nrt
2023-07-24 09:51:46	ga_s2bm_ard_3-2-1_55KHA_2023-07-24_nrt
2023-07-24 09:51:50	ga_s2bm_ard_3-2-1_55KGA_2023-07-24_nrt
2023-07-24 09:52:01	ga_s2bm_ard_3-2-1_55KHV_2023-07-24_nrt
2023-07-24 09:52:05	ga_s2bm_ard_3-2-1_55KGV_2023-07-24_nrt
2023-07-24 09:52:48	ga_s2bm_ard_3-2-1_55KGS_2023-07-24_final
2023-07-24 09:53:02	ga_s2bm_ard_3-2-1_55KGR_2023-07-24_final
2023-07-28 09:37:15	ga_s2bm_ard_3-2-1_56HKD_2023-07-28_interim
2023-07-28 09:37:16	ga_s2bm_ard_3-2-1_55HGU_2023-07-28_final
2023-07-28 09:37:30	ga_s2bm_ard_3-2-1_56HKC_2023-07-28_nrt
2023-07-28 09:37:31	ga_s2bm_ard_3-2-1_55HGT_2023-07-28_nrt
2023-07-28 09:37:44	ga_s2bm_ard_3-2-1_56HKB_2023-07-28_nrt
2023-07-28 09:37:45	ga_s2bm_ard_3-2-1_55HGS_2023-07-28_nrt
2023-07-28 09:37:59	ga_s2bm_ard_3-2-1_56GKA_2023-07-28_nrt
2023-07-28 09:38:00	ga_s2bm_ard_3-2-1_55GGR_2023-07-28_nrt
2023-07-28 09:38:13	ga_s2bm_ard_3-2-1_56GKV_2023-07-28_nrt
2023-07-28 09:38:14	ga_s2bm_ard_3-2-1_55GGQ_2023-07-28_nrt
2023-12-28 09:42:35	ga_s2bm_ard_3-2-1_55KGT_2023-12-28_final
2023-12-31 09:49:46	ga_s2bm_ard_3-2-1_55LHJ_2023-12-31_nrt
2024-01-01 09:27:14	ga_s2bm_ard_3-2-1_56HKD_2023-12-31_nrt
2024-01-01 09:27:15	ga_s2bm_ard_3-2-1_55HGU_2023-12-31_final
2024-01-01 09:27:29	ga_s2bm_ard_3-2-1_56HKC_2023-12-31_nrt
2024-01-01 09:27:30	ga_s2bm_ard_3-2-1_55HGT_2023-12-31_nrt
2024-01-01 09:27:43	ga_s2bm_ard_3-2-1_56HKB_2023-12-31_nrt
2024-01-01 09:27:44	ga_s2bm_ard_3-2-1_55HGS_2023-12-31_nrt
2024-01-01 09:27:58	ga_s2bm_ard_3-2-1_56GKA_2023-12-31_nrt
2024-01-01 09:27:58	ga_s2bm_ard_3-2-1_55GGR_2023-12-31_nrt
2024-01-03 09:59:39	ga_s2bm_ard_3-2-1_55LHJ_2024-01-03_nrt
2024-01-07 09:42:33	ga_s2bm_ard_3-2-1_55KGT_2024-01-07_final
2024-01-07 09:42:46	ga_s2bm_ard_3-2-1_55KGS_2024-01-07_final
2024-01-07 09:43:01	ga_s2bm_ard_3-2-1_55KGR_2024-01-07_final
2024-01-07 09:43:15	ga_s2bm_ard_3-2-1_55KGQ_2024-01-07_final
2024-01-07 09:43:30	ga_s2bm_ard_3-2-1_55KGP_2024-01-07_final
2024-01-07 09:43:44	ga_s2bm_ard_3-2-1_55JGN_2024-01-07_final
2024-01-07 09:45:32	ga_s2bm_ard_3-2-1_56HKK_2024-01-07_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years