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
2023-06-21 09:43:02	ga_s2bm_ard_3-2-1_55KHR_2023-06-21_final
2023-06-21 09:43:16	ga_s2bm_ard_3-2-1_55KHQ_2023-06-21_final
2023-06-21 09:43:31	ga_s2bm_ard_3-2-1_55KHP_2023-06-21_final
2023-06-21 09:43:39	ga_s2bm_ard_3-2-1_55KFP_2023-06-21_final
2023-06-21 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-06-21_final
2023-06-21 09:44:03	ga_s2bm_ard_3-2-1_55JGM_2023-06-21_final
2023-06-21 09:44:10	ga_s2bm_ard_3-2-1_56JLR_2023-06-21_final
2023-06-21 09:44:18	ga_s2bm_ard_3-2-1_55JGL_2023-06-21_final
2023-06-21 09:44:32	ga_s2bm_ard_3-2-1_55JGK_2023-06-21_final
2023-06-21 09:45:19	ga_s2bm_ard_3-2-1_55JFG_2023-06-21_final
2023-06-21 09:45:34	ga_s2bm_ard_3-2-1_55JFF_2023-06-21_final
2023-06-21 09:45:37	ga_s2bm_ard_3-2-1_55JEF_2023-06-21_final
2023-06-21 09:45:55	ga_s2bm_ard_3-2-1_55HDE_2023-06-21_final
2023-06-21 09:47:00	ga_s2bm_ard_3-2-1_55HFV_2023-06-21_final
2023-06-21 09:47:13	ga_s2bm_ard_3-2-1_55HFU_2023-06-21_final
2023-06-21 09:47:19	ga_s2bm_ard_3-2-1_55HEU_2023-06-21_final
2023-06-21 09:47:26	ga_s2bm_ard_3-2-1_55HCU_2023-06-21_final
2023-06-21 09:47:33	ga_s2bm_ard_3-2-1_55HET_2023-06-21_final
2023-06-21 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2023-06-21_final
2023-06-21 09:47:58	ga_s2bm_ard_3-2-1_55HBS_2023-06-21_final
2023-06-21 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2023-06-21_final
2023-06-21 09:48:02	ga_s2bm_ard_3-2-1_55GER_2023-06-21_final
2023-06-21 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2023-06-21_final
2023-06-21 09:48:15	ga_s2bm_ard_3-2-1_55GEQ_2023-06-21_final
2023-06-21 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2023-06-21_final
2023-06-21 09:48:49	ga_s2bm_ard_3-2-1_55GDN_2023-06-21_final
2023-06-21 09:48:57	ga_s2bm_ard_3-2-1_55GDN_2023-06-21_final
2023-06-21 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2023-06-21_final
2023-06-21 09:49:01	ga_s2bm_ard_3-2-1_55GDM_2023-06-21_final
2023-06-21 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-06-21_final
2023-06-21 11:21:51	ga_s2bm_ard_3-2-1_52LDH_2023-06-21_final
2023-06-21 11:21:58	ga_s2bm_ard_3-2-1_51LZC_2023-06-21_final
2023-06-21 11:22:09	ga_s2bm_ard_3-2-1_52KCG_2023-06-21_final
2023-06-21 11:22:13	ga_s2bm_ard_3-2-1_51KZB_2023-06-21_final
2023-06-21 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2023-06-21_final
2023-06-21 11:22:16	ga_s2bm_ard_3-2-1_52KDF_2023-06-21_final
2023-06-21 11:22:23	ga_s2bm_ard_3-2-1_52KCF_2023-06-21_final
2023-06-21 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2023-06-21_final
2023-06-21 11:22:31	ga_s2bm_ard_3-2-1_51KYA_2023-06-21_final
2023-06-21 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2023-06-21_final
2023-06-21 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2023-06-21_final
2023-06-21 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-06-21_final
2023-06-21 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-06-21_final
2023-06-21 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-06-21_final
2023-06-21 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-21_final
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-06-21_final
2023-06-21 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-06-21_final
2023-06-21 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-06-21_final
2023-06-21 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-06-21_final
2023-06-21 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-06-21_final
2023-06-21 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2023-06-21_final
2023-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-06-21_final
2023-06-21 11:24:16	ga_s2bm_ard_3-2-1_51KXP_2023-06-21_final
2023-06-21 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-06-21_final
2023-06-21 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-06-21_final
2023-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-06-21_final
2023-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-21_final
2023-06-21 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2023-06-21_final
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_52JBR_2023-06-21_final
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-06-21_final
2023-06-21 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2023-06-21_final
2023-06-21 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2023-06-21_final
2023-06-21 11:25:03	ga_s2bm_ard_3-2-1_51JWL_2023-06-21_final
2023-06-21 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2023-06-21_final
2023-06-21 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2023-06-21_final
2023-06-21 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2023-06-21_final
2023-06-21 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2023-06-21_final
2023-06-21 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2023-06-21_final
2023-06-21 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-06-21_final
2023-06-21 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-06-21_final
2023-06-21 11:25:32	ga_s2bm_ard_3-2-1_51JWJ_2023-06-21_final
2023-06-21 11:25:35	ga_s2bm_ard_3-2-1_51JVJ_2023-06-21_final
2023-06-21 11:25:38	ga_s2bm_ard_3-2-1_51JYH_2023-06-21_final
2023-06-21 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2023-06-21_final
2023-06-21 11:25:50	ga_s2bm_ard_3-2-1_51JVH_2023-06-21_final
2023-06-21 11:25:57	ga_s2bm_ard_3-2-1_51JXG_2023-06-21_final
2023-06-21 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-06-21_final
2023-06-21 11:26:22	ga_s2bm_ard_3-2-1_51JUF_2023-06-21_final
2023-06-21 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2023-06-21_final
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final
2023-06-21 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-06-21_final
2023-06-21 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2023-06-21_final
2023-06-21 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-06-21_final
2023-06-21 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2023-06-21_final
2023-06-21 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-06-21_final
2023-06-21 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2023-06-21_final
2023-06-21 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-06-21_final
2023-06-30 11:50:53	ga_s2bm_ard_3-2-1_51LTH_2023-06-30_nrt
2023-06-30 11:51:12	ga_s2bm_ard_3-2-1_50LQM_2023-06-30_nrt
2023-06-30 11:52:48	ga_s2bm_ard_3-2-1_51KTV_2023-06-30_nrt
2023-06-30 11:56:50	ga_s2bm_ard_3-2-1_49HGE_2023-06-30_nrt
2023-06-30 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-06-30_nrt
2023-07-01 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-07-01_nrt
2023-07-01 09:48:56	ga_s2bm_ard_3-2-1_54GXT_2023-07-01_nrt
2023-07-01 09:49:03	ga_s2bm_ard_3-2-1_54GXT_2023-07-01_nrt
2023-07-01 09:49:07	ga_s2bm_ard_3-2-1_54GXS_2023-07-01_nrt
2023-07-01 11:20:21	ga_s2bm_ard_3-2-1_52LEP_2023-07-01_nrt
2023-07-01 11:20:36	ga_s2bm_ard_3-2-1_52LEN_2023-07-01_nrt
2023-07-01 11:20:50	ga_s2bm_ard_3-2-1_52LEM_2023-07-01_nrt
2023-07-01 11:21:02	ga_s2bm_ard_3-2-1_51LZG_2023-07-01_nrt

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