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
2024-04-23 09:33:13	ga_s2bm_ard_3-2-1_56KLV_2024-04-23_final
2024-04-23 09:33:17	ga_s2bm_ard_3-2-1_56KPU_2024-04-23_nrt
2024-04-23 09:33:21	ga_s2bm_ard_3-2-1_56KNU_2024-04-23_nrt
2024-04-23 09:33:24	ga_s2bm_ard_3-2-1_56KMU_2024-04-23_final
2024-04-23 09:33:27	ga_s2bm_ard_3-2-1_56KLU_2024-04-23_final
2024-04-23 09:33:30	ga_s2bm_ard_3-2-1_56JPT_2024-04-23_nrt
2024-04-23 09:33:35	ga_s2bm_ard_3-2-1_56JNT_2024-04-23_final
2024-04-23 09:33:39	ga_s2bm_ard_3-2-1_56JMT_2024-04-23_final
2024-04-23 09:33:40	ga_s2bm_ard_3-2-1_56JPS_2024-04-23_nrt
2024-04-23 09:33:42	ga_s2bm_ard_3-2-1_56JLT_2024-04-23_final
2024-04-23 09:33:49	ga_s2bm_ard_3-2-1_56JKT_2024-04-23_final
2024-04-23 09:33:50	ga_s2bm_ard_3-2-1_56JNS_2024-04-23_final
2024-04-23 09:33:53	ga_s2bm_ard_3-2-1_56JMS_2024-04-23_final
2024-04-23 09:33:57	ga_s2bm_ard_3-2-1_56JLS_2024-04-23_final
2024-04-23 09:34:00	ga_s2bm_ard_3-2-1_55JHM_2024-04-23_final
2024-04-23 09:34:00	ga_s2bm_ard_3-2-1_56JKS_2024-04-23_final
2024-04-23 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2024-04-23_final
2024-04-23 09:34:08	ga_s2bm_ard_3-2-1_56JMR_2024-04-23_final
2024-04-23 09:34:11	ga_s2bm_ard_3-2-1_56JLR_2024-04-23_final
2024-04-23 09:34:14	ga_s2bm_ard_3-2-1_56JKR_2024-04-23_final
2024-04-23 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2024-04-23_final
2024-04-23 09:34:22	ga_s2bm_ard_3-2-1_56JMQ_2024-04-23_final
2024-04-23 09:34:26	ga_s2bm_ard_3-2-1_56JLQ_2024-04-23_final
2024-04-23 09:34:29	ga_s2bm_ard_3-2-1_56JKQ_2024-04-23_final
2024-04-23 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2024-04-23_final
2024-04-23 09:34:37	ga_s2bm_ard_3-2-1_56JMP_2024-04-23_final
2024-04-23 09:34:40	ga_s2bm_ard_3-2-1_56JLP_2024-04-23_final
2024-04-23 09:34:43	ga_s2bm_ard_3-2-1_56JNN_2024-04-23_final
2024-04-23 09:34:43	ga_s2bm_ard_3-2-1_56JKP_2024-04-23_final
2024-04-23 09:34:50	ga_s2bm_ard_3-2-1_55JGJ_2024-04-23_final
2024-04-23 09:34:51	ga_s2bm_ard_3-2-1_56JMN_2024-04-23_final
2024-04-23 09:34:55	ga_s2bm_ard_3-2-1_56JLN_2024-04-23_final
2024-04-23 09:34:58	ga_s2bm_ard_3-2-1_56JKN_2024-04-23_final
2024-04-23 09:35:01	ga_s2bm_ard_3-2-1_55JGH_2024-04-23_final
2024-04-23 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2024-04-23_final
2024-04-23 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2024-04-23_final
2024-04-23 11:11:08	ga_s2bm_ard_3-2-1_52LDL_2024-04-23_nrt
2024-04-23 11:11:12	ga_s2bm_ard_3-2-1_52LGK_2024-04-23_final
2024-04-23 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2024-04-23_final
2024-04-23 11:11:19	ga_s2bm_ard_3-2-1_52LEK_2024-04-23_final
2024-04-23 11:11:22	ga_s2bm_ard_3-2-1_52LDK_2024-04-23_nrt
2024-04-23 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2024-04-23_final
2024-04-23 11:11:30	ga_s2bm_ard_3-2-1_52LFJ_2024-04-23_final
2024-04-23 11:11:33	ga_s2bm_ard_3-2-1_52LEJ_2024-04-23_final
2024-04-23 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2024-04-23_final
2024-04-23 11:11:44	ga_s2bm_ard_3-2-1_52LFH_2024-04-23_final
2024-04-23 11:11:48	ga_s2bm_ard_3-2-1_52LEH_2024-04-23_final
2024-04-23 11:11:50	ga_s2bm_ard_3-2-1_52KGG_2024-04-23_final
2024-04-23 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2024-04-23_final
2024-04-23 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2024-04-23_final
2024-04-23 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2024-04-23_final
2024-04-23 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2024-04-23_final
2024-04-23 11:12:10	ga_s2bm_ard_3-2-1_52KCG_2024-04-23_final
2024-04-23 11:12:13	ga_s2bm_ard_3-2-1_52KFF_2024-04-23_final
2024-04-23 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2024-04-23_final
2024-04-23 11:12:20	ga_s2bm_ard_3-2-1_52KDF_2024-04-23_final
2024-04-23 11:12:23	ga_s2bm_ard_3-2-1_52KCF_2024-04-23_final
2024-04-23 11:12:28	ga_s2bm_ard_3-2-1_52KFE_2024-04-23_final
2024-04-23 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2024-04-23_final
2024-04-23 11:12:35	ga_s2bm_ard_3-2-1_52KDE_2024-04-23_final
2024-04-23 11:12:38	ga_s2bm_ard_3-2-1_52KCE_2024-04-23_final
2024-04-23 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2024-04-23_final
2024-04-23 11:12:46	ga_s2bm_ard_3-2-1_52KED_2024-04-23_final
2024-04-23 11:12:49	ga_s2bm_ard_3-2-1_52KDD_2024-04-23_final
2024-04-23 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2024-04-23_final
2024-04-23 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-23_final
2024-04-23 11:15:18	ga_s2bm_ard_3-2-1_52JCP_2024-04-23_final
2024-04-23 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2024-04-23_final
2024-04-23 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2024-04-23_final
2024-04-23 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2024-04-23_final
2024-04-23 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2024-04-23_final
2024-04-23 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2024-04-23_final
2024-04-23 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2024-04-23_final
2024-04-23 11:15:42	ga_s2bm_ard_3-2-1_51JXH_2024-04-23_final
2024-04-23 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2024-04-23_final
2024-04-23 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2024-04-23_final
2024-04-23 11:15:53	ga_s2bm_ard_3-2-1_51JYG_2024-04-23_final
2024-04-23 11:15:57	ga_s2bm_ard_3-2-1_51JXG_2024-04-23_final
2024-04-23 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2024-04-23_final
2024-04-23 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2024-04-23_final
2024-04-23 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2024-04-23_final
2024-04-23 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2024-04-23_final
2024-04-23 11:16:16	ga_s2bm_ard_3-2-1_52HCK_2024-04-23_final
2024-04-23 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2024-04-23_final
2024-04-23 11:16:20	ga_s2bm_ard_3-2-1_52HBK_2024-04-23_final
2024-04-23 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2024-04-23_final
2024-04-23 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2024-04-23_final
2024-04-23 11:16:27	ga_s2bm_ard_3-2-1_52HCJ_2024-04-23_nrt
2024-04-23 11:16:30	ga_s2bm_ard_3-2-1_51HWE_2024-04-23_final
2024-04-23 11:16:34	ga_s2bm_ard_3-2-1_52HBJ_2024-04-23_nrt
2024-04-23 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2024-04-23_final
2024-04-23 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2024-04-23_final
2024-04-23 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2024-04-23_final
2024-04-23 11:16:49	ga_s2bm_ard_3-2-1_52HBH_2024-04-23_nrt
2024-04-23 11:16:51	ga_s2bm_ard_3-2-1_51HYC_2024-04-23_nrt
2024-04-23 11:16:55	ga_s2bm_ard_3-2-1_51HXC_2024-04-23_final
2024-04-23 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2024-04-23_final
2024-04-23 11:17:01	ga_s2bm_ard_3-2-1_52HBG_2024-04-23_nrt
2024-04-23 11:17:02	ga_s2bm_ard_3-2-1_51HYB_2024-04-23_interim
2024-04-23 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2024-04-23_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