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
2024-01-16 11:57:26	ga_s2bm_ard_3-2-1_49HFB_2024-01-16_nrt
2024-01-16 11:57:26	ga_s2bm_ard_3-2-1_50HMF_2024-01-16_nrt
2024-01-16 11:57:27	ga_s2bm_ard_3-2-1_50HLF_2024-01-16_nrt
2024-01-17 09:39:34	ga_s2bm_ard_3-2-1_56LPP_2024-01-17_nrt
2024-01-17 09:39:38	ga_s2bm_ard_3-2-1_56LNP_2024-01-17_nrt
2024-01-17 09:39:41	ga_s2bm_ard_3-2-1_56LMP_2024-01-17_nrt
2024-01-17 09:39:48	ga_s2bm_ard_3-2-1_56LLP_2024-01-17_nrt
2024-01-17 09:39:48	ga_s2bm_ard_3-2-1_56LPN_2024-01-17_nrt
2024-01-17 09:39:52	ga_s2bm_ard_3-2-1_56LNN_2024-01-17_nrt
2024-01-17 09:39:55	ga_s2bm_ard_3-2-1_56LMN_2024-01-17_nrt
2024-01-17 09:39:59	ga_s2bm_ard_3-2-1_56LLN_2024-01-17_nrt
2024-01-17 09:40:03	ga_s2bm_ard_3-2-1_56LPM_2024-01-17_nrt
2024-01-17 09:40:06	ga_s2bm_ard_3-2-1_56LNM_2024-01-17_nrt
2024-01-17 09:40:07	ga_s2bm_ard_3-2-1_56LMM_2024-01-17_nrt
2024-01-17 09:40:09	ga_s2bm_ard_3-2-1_56LLM_2024-01-17_nrt
2024-01-17 09:40:11	ga_s2bm_ard_3-2-1_56LPL_2024-01-17_nrt
2024-01-17 09:40:12	ga_s2bm_ard_3-2-1_56LNL_2024-01-17_nrt
2024-01-17 09:41:14	ga_s2bm_ard_3-2-1_56LNH_2024-01-17_nrt
2024-01-17 09:41:15	ga_s2bm_ard_3-2-1_56LMH_2024-01-17_nrt
2024-01-17 09:41:16	ga_s2bm_ard_3-2-1_56LLH_2024-01-17_nrt
2024-01-17 09:41:17	ga_s2bm_ard_3-2-1_56LKH_2024-01-17_nrt
2024-01-17 09:41:20	ga_s2bm_ard_3-2-1_56KNG_2024-01-17_nrt
2024-01-17 09:41:23	ga_s2bm_ard_3-2-1_56KMG_2024-01-17_final
2024-01-17 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2024-01-17_final
2024-01-17 09:41:29	ga_s2bm_ard_3-2-1_56KKG_2024-01-17_final
2024-01-17 09:41:31	ga_s2bm_ard_3-2-1_55KHB_2024-01-17_final
2024-01-17 09:43:26	ga_s2bm_ard_3-2-1_55KHP_2024-01-17_final
2024-01-17 09:43:29	ga_s2bm_ard_3-2-1_55KGP_2024-01-17_final
2024-01-17 09:43:33	ga_s2bm_ard_3-2-1_55KFP_2024-01-17_final
2024-01-17 09:43:37	ga_s2bm_ard_3-2-1_56JLT_2024-01-17_final
2024-01-17 09:43:40	ga_s2bm_ard_3-2-1_55JHN_2024-01-17_final
2024-01-17 09:43:44	ga_s2bm_ard_3-2-1_55JGN_2024-01-17_final
2024-01-17 09:43:47	ga_s2bm_ard_3-2-1_55JFN_2024-01-17_final
2024-01-17 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2024-01-17_final
2024-01-17 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2024-01-17_final
2024-01-17 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2024-01-17_final
2024-01-17 09:44:02	ga_s2bm_ard_3-2-1_55JFM_2024-01-17_final
2024-01-17 09:44:09	ga_s2bm_ard_3-2-1_56JKR_2024-01-17_final
2024-01-17 09:44:13	ga_s2bm_ard_3-2-1_55JGL_2024-01-17_final
2024-01-17 09:44:15	ga_s2bm_ard_3-2-1_56JLQ_2024-01-17_final
2024-01-17 09:44:16	ga_s2bm_ard_3-2-1_55JFL_2024-01-17_final
2024-01-17 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2024-01-17_final
2024-01-17 09:44:27	ga_s2bm_ard_3-2-1_55JGK_2024-01-17_final
2024-01-17 09:44:31	ga_s2bm_ard_3-2-1_55JFK_2024-01-17_final
2024-01-17 09:44:41	ga_s2bm_ard_3-2-1_55JGJ_2024-01-17_final
2024-01-17 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2024-01-17_final
2024-01-17 09:44:56	ga_s2bm_ard_3-2-1_55JGH_2024-01-17_final
2024-01-17 09:45:00	ga_s2bm_ard_3-2-1_55JFH_2024-01-17_final
2024-01-17 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2024-01-17_final
2024-01-17 09:45:14	ga_s2bm_ard_3-2-1_55JFG_2024-01-17_final
2024-01-17 09:45:18	ga_s2bm_ard_3-2-1_55JEG_2024-01-17_final
2024-01-17 09:45:21	ga_s2bm_ard_3-2-1_56JKL_2024-01-17_final
2024-01-17 09:45:24	ga_s2bm_ard_3-2-1_55JGF_2024-01-17_final
2024-01-17 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2024-01-17_final
2024-01-17 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2024-01-17_final
2024-01-17 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2024-01-17_final
2024-01-17 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2024-01-17_final
2024-01-17 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2024-01-17_final
2024-01-17 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2024-01-17_final
2024-01-17 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2024-01-17_final
2024-01-17 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2024-01-17_final
2024-01-17 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2024-01-17_final
2024-01-17 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2024-01-17_final
2024-01-17 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2024-01-17_final
2024-01-17 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2024-01-17_final
2024-01-17 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2024-01-17_final
2024-01-17 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2024-01-17_final
2024-01-17 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2024-01-17_final
2024-01-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-01-17_final
2024-01-17 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2024-01-17_final
2024-01-17 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2024-01-17_final
2024-01-17 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2024-01-17_final
2024-01-17 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2024-01-17_final
2024-01-17 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2024-01-17_final
2024-01-17 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2024-01-17_final
2024-01-17 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2024-01-17_final
2024-01-17 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2024-01-17_final
2024-01-17 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2024-01-17_final
2024-01-17 11:25:59	ga_s2bm_ard_3-2-1_51JVG_2024-01-17_final
2024-01-17 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-01-17_final
2024-01-17 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2024-01-17_final
2024-01-17 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2024-01-17_final
2024-01-17 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2024-01-17_final
2024-01-17 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2024-01-17_final
2024-01-17 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-17_final
2024-01-17 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2024-01-17_final
2024-01-17 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2024-01-17_final
2024-01-17 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2024-01-17_final
2024-01-17 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2024-01-17_final
2024-01-17 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2024-01-17_final
2024-01-17 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2024-01-17_final
2024-01-17 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-01-17_final
2024-01-17 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2024-01-17_final
2024-01-17 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2024-01-17_final
2024-01-17 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-01-17_final
2024-01-17 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2024-01-17_final
2024-01-17 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2024-01-17_final
2024-01-17 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2024-01-17_final
2024-01-17 11:27:08	ga_s2bm_ard_3-2-1_51HVB_2024-01-17_final
2024-01-17 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2024-01-17_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