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
2021-01-21 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2021-01-21_final
2021-01-28 11:43:08	ga_s2bm_ard_3-2-1_50KQD_2021-01-28_final
2021-01-28 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-28_final
2021-02-24 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2021-02-24_final
2021-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-08_final
2021-03-18 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-03-18_final
2021-03-22 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2021-03-22_final
2021-03-22 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-03-22_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final
2021-04-01 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2021-04-01_final
2021-04-01 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-04-01_final
2021-04-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2021-04-05_final
2021-04-18 11:43:04	ga_s2bm_ard_3-2-1_50KQD_2021-04-18_final
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final
2021-05-01 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2021-05-01_final
2021-05-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2021-05-08_final
2021-05-18 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-05-18_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-05-31 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-05-31_final
2021-06-10 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-06-10_final
2021-06-17 11:43:10	ga_s2bm_ard_3-2-1_50KQD_2021-06-17_final
2021-06-20 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-06-20_final
2021-06-24 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-24_final
2021-06-27 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-27_final
2021-07-16 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-07-16_final
2021-07-17 11:43:11	ga_s2bm_ard_3-2-1_50KQD_2021-07-17_final
2021-07-20 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2021-07-20_final
2021-07-24 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-24_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final
2021-08-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-08-09_final
2021-08-19 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2021-08-19_final
2021-08-29 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2021-08-29_final
2021-09-05 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2021-09-05_final
2021-09-08 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2021-09-08_final
2021-09-12 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2021-09-12_final
2021-09-15 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-09-15_final
2021-09-25 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-09-25_final
2021-10-04 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2021-10-04_final
2021-10-08 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-10-08_final
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-11_final
2021-10-14 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final
2021-10-14 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-14_final
2021-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-11-04_final
2021-11-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-11-24_final
2021-11-27 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2021-11-27_final
2021-12-17 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2021-12-17_final
2021-12-27 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2021-12-27_final
2022-06-02 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2022-06-02_final
2023-08-10 11:24:35	ga_s2bm_ard_3-2-1_51JWN_2023-08-10_final
2023-08-10 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-08-10_final
2023-08-10 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2023-08-10_final
2023-08-10 11:25:48	ga_s2bm_ard_3-2-1_51JWH_2023-08-10_final
2023-08-10 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-08-10_final
2023-08-10 11:25:51	ga_s2bm_ard_3-2-1_51JVH_2023-08-10_final
2023-08-10 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-08-10_final
2023-08-10 11:26:13	ga_s2bm_ard_3-2-1_51JXF_2023-08-10_final
2023-08-10 11:26:17	ga_s2bm_ard_3-2-1_51JWF_2023-08-10_final
2023-08-10 11:26:28	ga_s2bm_ard_3-2-1_51HXE_2023-08-10_final
2023-08-10 11:26:35	ga_s2bm_ard_3-2-1_51HVE_2023-08-10_final
2023-08-10 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2023-08-10_final
2023-08-10 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-08-10_final
2023-08-10 11:27:14	ga_s2bm_ard_3-2-1_51HWB_2023-08-10_final
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-08-12_final
2023-08-12 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-08-12_final
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final
2023-08-12 12:04:12	ga_s2bm_ard_3-2-1_50KMV_2023-08-12_final
2023-08-12 12:04:16	ga_s2bm_ard_3-2-1_50KLV_2023-08-12_final
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-08-12_final
2023-08-12 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-08-12_final
2023-08-12 12:04:27	ga_s2bm_ard_3-2-1_50KMU_2023-08-12_final
2023-08-12 12:04:30	ga_s2bm_ard_3-2-1_50KLU_2023-08-12_final
2023-08-12 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-08-12_final
2023-08-12 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2023-08-12_final
2023-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-08-12_final
2023-08-12 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-12_final
2023-08-12 12:04:53	ga_s2bm_ard_3-2-1_50JLT_2023-08-12_final
2023-08-12 12:04:54	ga_s2bm_ard_3-2-1_49JHN_2023-08-12_final
2023-08-12 12:05:14	ga_s2bm_ard_3-2-1_49JFM_2023-08-12_final
2023-08-12 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-12_final
2023-08-12 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-08-12_final
2023-08-12 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-08-12_final
2023-08-13 11:34:31	ga_s2bm_ard_3-2-1_51JWN_2023-08-13_final
2023-08-13 11:34:42	ga_s2bm_ard_3-2-1_50JRT_2023-08-13_final
2023-08-13 11:34:55	ga_s2bm_ard_3-2-1_51JTM_2023-08-13_final
2023-08-13 11:35:07	ga_s2bm_ard_3-2-1_51JUL_2023-08-13_final
2023-08-13 11:35:10	ga_s2bm_ard_3-2-1_51JTL_2023-08-13_final
2023-08-13 11:35:21	ga_s2bm_ard_3-2-1_51JUK_2023-08-13_final
2023-08-13 11:35:32	ga_s2bm_ard_3-2-1_51JVJ_2023-08-13_final
2023-08-13 11:35:36	ga_s2bm_ard_3-2-1_51JUJ_2023-08-13_final
2023-08-13 11:35:47	ga_s2bm_ard_3-2-1_51JVH_2023-08-13_final
2023-08-13 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-08-13_final
2023-08-13 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-08-13_final
2023-08-13 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-08-13_final
2023-08-13 11:36:33	ga_s2bm_ard_3-2-1_51HVE_2023-08-13_final
2023-08-13 11:36:34	ga_s2bm_ard_3-2-1_50JPL_2023-08-13_final
2023-08-13 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-08-13_final
2023-08-13 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-08-13_final
2023-08-13 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-08-13_final
2023-08-13 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-08-13_final
2023-08-13 11:37:03	ga_s2bm_ard_3-2-1_51HUC_2023-08-13_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