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
2024-02-06 09:41:22	ga_s2bm_ard_3-2-1_56KMG_2024-02-06_final
2024-02-06 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2024-02-06_final
2024-02-06 09:41:28	ga_s2bm_ard_3-2-1_56KKG_2024-02-06_final
2024-02-06 09:41:37	ga_s2bm_ard_3-2-1_56KMF_2024-02-06_final
2024-02-06 09:41:40	ga_s2bm_ard_3-2-1_56KLF_2024-02-06_final
2024-02-06 09:41:43	ga_s2bm_ard_3-2-1_56KKF_2024-02-06_final
2024-02-06 09:41:51	ga_s2bm_ard_3-2-1_56KME_2024-02-06_final
2024-02-06 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-02-06_final
2024-02-06 09:42:42	ga_s2bm_ard_3-2-1_55KHS_2024-02-06_final
2024-02-06 09:42:49	ga_s2bm_ard_3-2-1_56KMA_2024-02-06_final
2024-02-06 09:42:53	ga_s2bm_ard_3-2-1_56KLA_2024-02-06_final
2024-02-06 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2024-02-06_final
2024-02-06 09:43:11	ga_s2bm_ard_3-2-1_56KKV_2024-02-06_final
2024-02-06 09:43:15	ga_s2bm_ard_3-2-1_55KGQ_2024-02-06_final
2024-02-06 09:43:25	ga_s2bm_ard_3-2-1_56KKU_2024-02-06_final
2024-02-06 09:43:33	ga_s2bm_ard_3-2-1_55KFP_2024-02-06_final
2024-02-06 09:43:43	ga_s2bm_ard_3-2-1_55JGN_2024-02-06_final
2024-02-06 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2024-02-06_final
2024-02-06 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2024-02-06_final
2024-02-06 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2024-02-06_final
2024-02-06 09:44:38	ga_s2bm_ard_3-2-1_56JKP_2024-02-06_final
2024-02-06 09:44:53	ga_s2bm_ard_3-2-1_56JKN_2024-02-06_final
2024-02-06 09:45:07	ga_s2bm_ard_3-2-1_56JKM_2024-02-06_final
2024-02-06 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2024-02-06_final
2024-02-06 09:45:24	ga_s2bm_ard_3-2-1_55JGF_2024-02-06_final
2024-02-06 09:45:32	ga_s2bm_ard_3-2-1_55JEF_2024-02-06_final
2024-02-06 09:45:53	ga_s2bm_ard_3-2-1_55HGD_2024-02-06_final
2024-02-06 09:46:06	ga_s2bm_ard_3-2-1_55HGC_2024-02-06_final
2024-02-06 09:46:38	ga_s2bm_ard_3-2-1_55HFA_2024-02-06_final
2024-02-06 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2024-02-06_final
2024-02-06 09:47:17	ga_s2bm_ard_3-2-1_55HDU_2024-02-06_final
2024-02-06 09:47:18	ga_s2bm_ard_3-2-1_55HFT_2024-02-06_final
2024-02-06 09:47:32	ga_s2bm_ard_3-2-1_55HDT_2024-02-06_final
2024-02-06 09:47:35	ga_s2bm_ard_3-2-1_55HCT_2024-02-06_final
2024-02-06 09:47:42	ga_s2bm_ard_3-2-1_55HES_2024-02-06_final
2024-02-06 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2024-02-06_final
2024-02-06 09:48:07	ga_s2bm_ard_3-2-1_55GBR_2024-02-06_final
2024-02-06 09:48:21	ga_s2bm_ard_3-2-1_55GEP_2024-02-06_final
2024-02-06 09:48:22	ga_s2bm_ard_3-2-1_54GYV_2024-02-06_final
2024-02-06 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2024-02-06_final
2024-02-06 09:48:56	ga_s2bm_ard_3-2-1_55GDM_2024-02-06_final
2024-02-06 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2024-02-06_final
2024-02-06 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2024-02-06_final
2024-02-06 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2024-02-06_final
2024-02-06 11:21:34	ga_s2bm_ard_3-2-1_52LCJ_2024-02-06_final
2024-02-06 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2024-02-06_final
2024-02-06 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2024-02-06_final
2024-02-06 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2024-02-06_final
2024-02-06 11:22:13	ga_s2bm_ard_3-2-1_52KCF_2024-02-06_final
2024-02-06 11:22:15	ga_s2bm_ard_3-2-1_52KBF_2024-02-06_final
2024-02-06 11:22:16	ga_s2bm_ard_3-2-1_51KYA_2024-02-06_final
2024-02-06 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2024-02-06_final
2024-02-06 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2024-02-06_final
2024-02-06 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2024-02-06_final
2024-02-06 11:22:26	ga_s2bm_ard_3-2-1_51KYA_2024-02-06_final
2024-02-06 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2024-02-06_final
2024-02-06 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2024-02-06_final
2024-02-06 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2024-02-06_final
2024-02-06 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2024-02-06_final
2024-02-06 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2024-02-06_final
2024-02-06 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2024-02-06_final
2024-02-06 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2024-02-06_final
2024-02-06 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-02-06_final
2024-02-06 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2024-02-06_final
2024-02-06 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2024-02-06_final
2024-02-06 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2024-02-06_final
2024-02-06 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2024-02-06_final
2024-02-06 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2024-02-06_final
2024-02-06 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2024-02-06_final
2024-02-06 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2024-02-06_final
2024-02-06 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2024-02-06_final
2024-02-06 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2024-02-06_final
2024-02-06 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2024-02-06_final
2024-02-06 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2024-02-06_final
2024-02-06 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2024-02-06_final
2024-02-06 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2024-02-06_final
2024-02-06 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2024-02-06_final
2024-02-06 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2024-02-06_final
2024-02-06 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2024-02-06_final
2024-02-06 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-02-06_final
2024-02-06 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2024-02-06_final
2024-02-06 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2024-02-06_final
2024-02-06 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-02-06_final
2024-02-06 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2024-02-06_final
2024-02-06 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2024-02-06_final
2024-02-06 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2024-02-06_final
2024-02-06 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2024-02-06_final
2024-02-06 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-02-06_final
2024-02-06 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2024-02-06_final
2024-02-06 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2024-02-06_final
2024-02-06 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2024-02-06_final
2024-02-06 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2024-02-06_final
2024-02-06 11:27:08	ga_s2bm_ard_3-2-1_51HVB_2024-02-06_final
2024-02-06 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2024-02-06_final
2024-02-16 11:20:24	ga_s2bm_ard_3-2-1_52LCP_2024-02-16_nrt
2024-02-16 11:20:50	ga_s2bm_ard_3-2-1_52LDM_2024-02-16_nrt
2024-02-16 11:21:08	ga_s2bm_ard_3-2-1_52LCL_2024-02-16_nrt
2024-02-16 11:21:14	ga_s2bm_ard_3-2-1_52LDK_2024-02-16_nrt
2024-02-17 10:50:07	ga_s2bm_ard_3-2-1_53LPJ_2024-02-17_nrt
2024-02-17 10:50:10	ga_s2bm_ard_3-2-1_53LNJ_2024-02-17_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