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
2019-11-30 10:55:05	ga_s2bm_ard_3-2-1_53JKJ_2019-11-30_final.stac-item
2019-11-30 10:55:20	ga_s2bm_ard_3-2-1_53JKH_2019-11-30_final.stac-item
2019-11-30 10:55:34	ga_s2bm_ard_3-2-1_53JKG_2019-11-30_final.stac-item
2019-11-30 10:55:49	ga_s2bm_ard_3-2-1_53JKF_2019-11-30_final.stac-item
2019-11-30 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2019-11-30_final.stac-item
2023-07-15 11:00:35	ga_s2bm_ard_3-2-1_52LHN_2023-07-15_final
2023-07-15 11:00:48	ga_s2bm_ard_3-2-1_53LKG_2023-07-15_final
2023-07-15 11:00:50	ga_s2bm_ard_3-2-1_52LHM_2023-07-15_final
2023-07-15 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2023-07-15_final
2023-07-15 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2023-07-15_final
2023-07-15 11:01:17	ga_s2bm_ard_3-2-1_53LKE_2023-07-15_final
2023-07-15 11:01:19	ga_s2bm_ard_3-2-1_52LHK_2023-07-15_final
2023-07-15 11:01:32	ga_s2bm_ard_3-2-1_53LKD_2023-07-15_final
2023-07-15 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2023-07-15_final
2023-07-15 11:01:46	ga_s2bm_ard_3-2-1_53LKC_2023-07-15_final
2023-07-15 11:01:48	ga_s2bm_ard_3-2-1_52LHH_2023-07-15_final
2023-07-15 11:02:01	ga_s2bm_ard_3-2-1_53KKB_2023-07-15_final
2023-07-15 11:02:02	ga_s2bm_ard_3-2-1_52KHG_2023-07-15_final
2023-07-15 11:02:15	ga_s2bm_ard_3-2-1_53KKA_2023-07-15_final
2023-07-15 11:02:17	ga_s2bm_ard_3-2-1_52KHF_2023-07-15_final
2023-07-15 11:02:30	ga_s2bm_ard_3-2-1_53KKV_2023-07-15_final
2023-07-15 11:02:31	ga_s2bm_ard_3-2-1_52KHE_2023-07-15_final
2023-07-15 11:02:40	ga_s2bm_ard_3-2-1_53KKU_2023-07-15_final
2023-07-15 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2023-07-15_final
2023-07-15 11:02:46	ga_s2bm_ard_3-2-1_53KKU_2023-07-15_final
2023-07-15 11:02:47	ga_s2bm_ard_3-2-1_52KHD_2023-07-15_final
2023-07-15 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2023-07-15_final
2023-07-15 11:03:00	ga_s2bm_ard_3-2-1_52KHC_2023-07-15_final
2023-07-15 11:03:13	ga_s2bm_ard_3-2-1_53KKS_2023-07-15_final
2023-07-15 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2023-07-15_final
2023-07-18 11:10:16	ga_s2bm_ard_3-2-1_52LHP_2023-07-18_nrt
2023-07-22 10:54:17	ga_s2bm_ard_3-2-1_52JHT_2023-07-22_final
2023-07-22 10:54:17	ga_s2bm_ard_3-2-1_53JKN_2023-07-22_final
2023-07-22 10:54:23	ga_s2bm_ard_3-2-1_52JHT_2023-07-22_final
2023-07-22 10:54:23	ga_s2bm_ard_3-2-1_53JKN_2023-07-22_final
2023-07-22 10:54:32	ga_s2bm_ard_3-2-1_52JHS_2023-07-22_final
2023-07-22 10:54:32	ga_s2bm_ard_3-2-1_53JKM_2023-07-22_final
2023-07-22 10:54:47	ga_s2bm_ard_3-2-1_53JKL_2023-07-22_final
2023-07-22 10:55:01	ga_s2bm_ard_3-2-1_53JKK_2023-07-22_final
2023-07-22 10:55:16	ga_s2bm_ard_3-2-1_53JKJ_2023-07-22_final
2023-07-22 10:55:30	ga_s2bm_ard_3-2-1_53JKH_2023-07-22_final
2023-07-22 10:55:45	ga_s2bm_ard_3-2-1_53JKG_2023-07-22_final
2023-07-22 10:56:00	ga_s2bm_ard_3-2-1_53JKF_2023-07-22_final
2023-07-22 10:56:02	ga_s2bm_ard_3-2-1_52JGL_2023-07-22_final
2023-07-22 10:56:14	ga_s2bm_ard_3-2-1_53HKE_2023-07-22_final
2023-07-22 10:56:16	ga_s2bm_ard_3-2-1_52HGK_2023-07-22_final
2023-08-08 10:45:34	ga_s2bm_ard_3-2-1_53JKH_2023-08-08_final
2023-08-08 10:45:49	ga_s2bm_ard_3-2-1_53JKG_2023-08-08_final
2023-08-08 10:46:03	ga_s2bm_ard_3-2-1_53JKF_2023-08-08_final
2023-08-08 10:46:05	ga_s2bm_ard_3-2-1_52JGL_2023-08-08_final
2023-08-08 10:46:18	ga_s2bm_ard_3-2-1_53HKE_2023-08-08_final
2023-08-08 10:46:20	ga_s2bm_ard_3-2-1_52HGK_2023-08-08_final
2023-08-08 10:46:32	ga_s2bm_ard_3-2-1_53HKD_2023-08-08_nrt
2023-08-08 10:46:34	ga_s2bm_ard_3-2-1_52HGJ_2023-08-08_nrt
2023-09-30 10:53:01	ga_s2bm_ard_3-2-1_53KKT_2023-09-30_final
2023-09-30 10:53:02	ga_s2bm_ard_3-2-1_52KHC_2023-09-30_final
2023-09-30 10:53:16	ga_s2bm_ard_3-2-1_53KKS_2023-09-30_final
2023-09-30 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2023-09-30_final
2023-12-16 10:45:28	ga_s2bm_ard_3-2-1_53JKH_2023-12-16_final
2023-12-19 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2023-12-19_final
2023-12-19 10:53:00	ga_s2bm_ard_3-2-1_52KHC_2023-12-19_final
2023-12-19 10:53:14	ga_s2bm_ard_3-2-1_53KKS_2023-12-19_final
2023-12-19 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2023-12-19_final
2023-12-19 10:53:28	ga_s2bm_ard_3-2-1_53KKR_2023-12-19_final
2023-12-19 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2023-12-19_final
2023-12-19 10:53:43	ga_s2bm_ard_3-2-1_53KKQ_2023-12-19_final
2023-12-19 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2023-12-19_final
2023-12-19 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2023-12-19_final
2023-12-19 10:53:57	ga_s2bm_ard_3-2-1_52KHU_2023-12-19_final
2023-12-22 11:00:44	ga_s2bm_ard_3-2-1_53LKG_2023-12-22_final
2023-12-22 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2023-12-22_final
2023-12-22 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2023-12-22_final
2023-12-22 11:01:00	ga_s2bm_ard_3-2-1_52LHL_2023-12-22_final
2023-12-22 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2023-12-22_final
2023-12-22 11:01:15	ga_s2bm_ard_3-2-1_52LHK_2023-12-22_final
2023-12-22 11:01:28	ga_s2bm_ard_3-2-1_53LKD_2023-12-22_final
2023-12-22 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2023-12-22_final
2023-12-22 11:01:42	ga_s2bm_ard_3-2-1_53LKC_2023-12-22_final
2023-12-22 11:01:44	ga_s2bm_ard_3-2-1_52LHH_2023-12-22_final
2023-12-22 11:01:57	ga_s2bm_ard_3-2-1_53KKB_2023-12-22_final
2023-12-22 11:01:58	ga_s2bm_ard_3-2-1_52KHG_2023-12-22_final
2023-12-22 11:02:11	ga_s2bm_ard_3-2-1_53KKA_2023-12-22_final
2023-12-22 11:02:13	ga_s2bm_ard_3-2-1_52KHF_2023-12-22_final
2023-12-22 11:02:26	ga_s2bm_ard_3-2-1_53KKV_2023-12-22_final
2023-12-22 11:02:27	ga_s2bm_ard_3-2-1_52KHE_2023-12-22_final
2023-12-22 11:02:41	ga_s2bm_ard_3-2-1_53KKU_2023-12-22_final
2023-12-22 11:02:41	ga_s2bm_ard_3-2-1_52KHD_2023-12-22_final
2023-12-22 11:02:55	ga_s2bm_ard_3-2-1_53KKT_2023-12-22_final
2023-12-22 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2023-12-22_final
2023-12-22 11:03:08	ga_s2bm_ard_3-2-1_53KKS_2023-12-22_final
2023-12-22 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2023-12-22_final
2024-01-28 10:52:57	ga_s2bm_ard_3-2-1_53KKT_2024-01-28_final
2024-01-28 10:52:58	ga_s2bm_ard_3-2-1_52KHC_2024-01-28_final
2024-01-28 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2024-01-28_final
2024-01-28 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2024-01-28_final
2024-01-28 10:53:17	ga_s2bm_ard_3-2-1_53KKS_2024-01-28_final
2024-01-28 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2024-01-28_final
2024-01-28 10:53:26	ga_s2bm_ard_3-2-1_53KKR_2024-01-28_final
2024-01-28 10:53:26	ga_s2bm_ard_3-2-1_52KHA_2024-01-28_final
2024-01-28 10:53:41	ga_s2bm_ard_3-2-1_53KKQ_2024-01-28_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