Search ga_s2bm_ard_3 on 15th December 2021

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
2021-12-15 09:32:53	ga_s2bm_ard_3-2-1_56KLA_2021-12-15_final.stac-item
2021-12-15 09:33:18	ga_s2bm_ard_3-2-1_56KMU_2021-12-15_final.stac-item
2021-12-15 09:33:29	ga_s2bm_ard_3-2-1_56JNT_2021-12-15_final.stac-item
2021-12-15 09:33:33	ga_s2bm_ard_3-2-1_56JMT_2021-12-15_final.stac-item
2021-12-15 09:33:36	ga_s2bm_ard_3-2-1_56JLT_2021-12-15_final.stac-item
2021-12-15 09:33:44	ga_s2bm_ard_3-2-1_56JKT_2021-12-15_final.stac-item
2021-12-15 09:33:44	ga_s2bm_ard_3-2-1_56JNS_2021-12-15_final.stac-item
2021-12-15 09:33:48	ga_s2bm_ard_3-2-1_56JMS_2021-12-15_final.stac-item
2021-12-15 09:33:51	ga_s2bm_ard_3-2-1_56JLS_2021-12-15_final.stac-item
2021-12-15 09:33:55	ga_s2bm_ard_3-2-1_56JKS_2021-12-15_final.stac-item
2021-12-15 09:34:02	ga_s2bm_ard_3-2-1_56JMR_2021-12-15_final.stac-item
2021-12-15 09:34:05	ga_s2bm_ard_3-2-1_56JLR_2021-12-15_final.stac-item
2021-12-15 09:34:08	ga_s2bm_ard_3-2-1_56JKR_2021-12-15_final.stac-item
2021-12-15 09:34:17	ga_s2bm_ard_3-2-1_56JMQ_2021-12-15_final.stac-item
2021-12-15 09:34:20	ga_s2bm_ard_3-2-1_56JLQ_2021-12-15_final.stac-item
2021-12-15 09:34:23	ga_s2bm_ard_3-2-1_56JKQ_2021-12-15_final.stac-item
2021-12-15 09:34:31	ga_s2bm_ard_3-2-1_56JMP_2021-12-15_final.stac-item
2021-12-15 09:34:34	ga_s2bm_ard_3-2-1_56JLP_2021-12-15_final.stac-item
2021-12-15 09:34:38	ga_s2bm_ard_3-2-1_56JKP_2021-12-15_final.stac-item
2021-12-15 09:34:38	ga_s2bm_ard_3-2-1_56JNN_2021-12-15_final.stac-item
2021-12-15 09:34:45	ga_s2bm_ard_3-2-1_56JMN_2021-12-15_final.stac-item
2021-12-15 09:34:49	ga_s2bm_ard_3-2-1_56JLN_2021-12-15_final.stac-item
2021-12-15 09:34:52	ga_s2bm_ard_3-2-1_56JKN_2021-12-15_final.stac-item
2021-12-15 09:35:00	ga_s2bm_ard_3-2-1_56JMM_2021-12-15_final.stac-item
2021-12-15 09:35:04	ga_s2bm_ard_3-2-1_56JLM_2021-12-15_final.stac-item
2021-12-15 09:35:07	ga_s2bm_ard_3-2-1_56JKM_2021-12-15_final.stac-item
2021-12-15 09:35:15	ga_s2bm_ard_3-2-1_56JML_2021-12-15_final.stac-item
2021-12-15 09:35:18	ga_s2bm_ard_3-2-1_56JLL_2021-12-15_final.stac-item
2021-12-15 09:35:21	ga_s2bm_ard_3-2-1_56JKL_2021-12-15_final.stac-item
2021-12-15 09:38:06	ga_s2bm_ard_3-2-1_55GFQ_2021-12-15_final.stac-item
2021-12-15 09:38:10	ga_s2bm_ard_3-2-1_55GEQ_2021-12-15_final.stac-item
2021-12-15 09:38:14	ga_s2bm_ard_3-2-1_55GDQ_2021-12-15_final.stac-item
2021-12-15 09:38:20	ga_s2bm_ard_3-2-1_55GFP_2021-12-15_final.stac-item
2021-12-15 09:38:25	ga_s2bm_ard_3-2-1_55GEP_2021-12-15_final.stac-item
2021-12-15 09:38:28	ga_s2bm_ard_3-2-1_55GDP_2021-12-15_final.stac-item
2021-12-15 09:38:34	ga_s2bm_ard_3-2-1_55GCP_2021-12-15_final.stac-item
2021-12-15 09:38:35	ga_s2bm_ard_3-2-1_55GFN_2021-12-15_final.stac-item
2021-12-15 09:38:39	ga_s2bm_ard_3-2-1_55GEN_2021-12-15_final.stac-item
2021-12-15 09:38:43	ga_s2bm_ard_3-2-1_55GDN_2021-12-15_final.stac-item
2021-12-15 09:38:46	ga_s2bm_ard_3-2-1_55GCN_2021-12-15_final.stac-item
2021-12-15 09:38:53	ga_s2bm_ard_3-2-1_55GEM_2021-12-15_final
2021-12-15 09:38:56	ga_s2bm_ard_3-2-1_55GDM_2021-12-15_final
2021-12-15 09:38:58	ga_s2bm_ard_3-2-1_55GCM_2021-12-15_final
2021-12-15 11:09:58	ga_s2bm_ard_3-2-1_53LKJ_2021-12-15_final
2021-12-15 11:10:19	ga_s2bm_ard_3-2-1_52LHN_2021-12-15_final.stac-item
2021-12-15 11:10:23	ga_s2bm_ard_3-2-1_52LGN_2021-12-15_final.stac-item
2021-12-15 11:10:26	ga_s2bm_ard_3-2-1_52LFN_2021-12-15_final
2021-12-15 11:10:31	ga_s2bm_ard_3-2-1_52LHM_2021-12-15_final.stac-item
2021-12-15 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2021-12-15_final.stac-item
2021-12-15 11:10:41	ga_s2bm_ard_3-2-1_52LFM_2021-12-15_final
2021-12-15 11:10:41	ga_s2bm_ard_3-2-1_52LHL_2021-12-15_final.stac-item
2021-12-15 11:10:51	ga_s2bm_ard_3-2-1_52LGL_2021-12-15_final.stac-item
2021-12-15 11:10:55	ga_s2bm_ard_3-2-1_52LFL_2021-12-15_final.stac-item
2021-12-15 11:10:58	ga_s2bm_ard_3-2-1_52LEL_2021-12-15_final
2021-12-15 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2021-12-15_final.stac-item
2021-12-15 11:11:10	ga_s2bm_ard_3-2-1_52LFK_2021-12-15_final.stac-item
2021-12-15 11:11:13	ga_s2bm_ard_3-2-1_52LEK_2021-12-15_final
2021-12-15 11:11:21	ga_s2bm_ard_3-2-1_52LGJ_2021-12-15_final.stac-item
2021-12-15 11:11:24	ga_s2bm_ard_3-2-1_52LFJ_2021-12-15_final.stac-item
2021-12-15 11:11:28	ga_s2bm_ard_3-2-1_52LEJ_2021-12-15_final.stac-item
2021-12-15 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2021-12-15_final.stac-item
2021-12-15 11:11:34	ga_s2bm_ard_3-2-1_52LGH_2021-12-15_final.stac-item
2021-12-15 11:11:39	ga_s2bm_ard_3-2-1_52LFH_2021-12-15_final.stac-item
2021-12-15 11:11:42	ga_s2bm_ard_3-2-1_52LEH_2021-12-15_final.stac-item
2021-12-15 11:11:44	ga_s2bm_ard_3-2-1_52KGG_2021-12-15_final.stac-item
2021-12-15 11:11:45	ga_s2bm_ard_3-2-1_52LDH_2021-12-15_final.stac-item
2021-12-15 11:11:53	ga_s2bm_ard_3-2-1_52KFG_2021-12-15_final.stac-item
2021-12-15 11:11:57	ga_s2bm_ard_3-2-1_52KEG_2021-12-15_final.stac-item
2021-12-15 11:12:00	ga_s2bm_ard_3-2-1_52KDG_2021-12-15_final.stac-item
2021-12-15 11:12:04	ga_s2bm_ard_3-2-1_52KCG_2021-12-15_final.stac-item
2021-12-15 11:12:07	ga_s2bm_ard_3-2-1_52KFF_2021-12-15_final.stac-item
2021-12-15 11:12:11	ga_s2bm_ard_3-2-1_52KEF_2021-12-15_final.stac-item
2021-12-15 11:12:14	ga_s2bm_ard_3-2-1_52KDF_2021-12-15_final.stac-item
2021-12-15 11:12:17	ga_s2bm_ard_3-2-1_52KCF_2021-12-15_final.stac-item
2021-12-15 11:12:22	ga_s2bm_ard_3-2-1_52KFE_2021-12-15_final.stac-item
2021-12-15 11:12:26	ga_s2bm_ard_3-2-1_52KEE_2021-12-15_final.stac-item
2021-12-15 11:12:29	ga_s2bm_ard_3-2-1_52KDE_2021-12-15_final.stac-item
2021-12-15 11:12:32	ga_s2bm_ard_3-2-1_52KCE_2021-12-15_final.stac-item
2021-12-15 11:12:36	ga_s2bm_ard_3-2-1_52KFD_2021-12-15_final.stac-item
2021-12-15 11:12:40	ga_s2bm_ard_3-2-1_52KED_2021-12-15_final.stac-item
2021-12-15 11:12:44	ga_s2bm_ard_3-2-1_52KDD_2021-12-15_final.stac-item
2021-12-15 11:12:47	ga_s2bm_ard_3-2-1_52KCD_2021-12-15_final.stac-item
2021-12-15 11:12:48	ga_s2bm_ard_3-2-1_52KFC_2021-12-15_final.stac-item
2021-12-15 11:12:54	ga_s2bm_ard_3-2-1_52KEC_2021-12-15_final.stac-item
2021-12-15 11:12:58	ga_s2bm_ard_3-2-1_52KDC_2021-12-15_final.stac-item
2021-12-15 11:13:01	ga_s2bm_ard_3-2-1_52KCC_2021-12-15_final.stac-item
2021-12-15 11:13:07	ga_s2bm_ard_3-2-1_52KBC_2021-12-15_final.stac-item
2021-12-15 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2021-12-15_final.stac-item
2021-12-15 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2021-12-15_final.stac-item
2021-12-15 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2021-12-15_final.stac-item
2021-12-15 11:13:19	ga_s2bm_ard_3-2-1_52KBB_2021-12-15_final.stac-item
2021-12-15 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2021-12-15_final.stac-item
2021-12-15 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2021-12-15_final.stac-item
2021-12-15 11:13:27	ga_s2bm_ard_3-2-1_52KDA_2021-12-15_final.stac-item
2021-12-15 11:13:30	ga_s2bm_ard_3-2-1_52KCA_2021-12-15_final.stac-item
2021-12-15 11:13:33	ga_s2bm_ard_3-2-1_52KBA_2021-12-15_final.stac-item
2021-12-15 11:13:34	ga_s2bm_ard_3-2-1_51KZR_2021-12-15_final.stac-item
2021-12-15 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2021-12-15_final.stac-item
2021-12-15 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2021-12-15_final.stac-item
2021-12-15 11:13:45	ga_s2bm_ard_3-2-1_52KCV_2021-12-15_final.stac-item

Return to ga_s2bm_ard_3 on 15th December 2021 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

2021

December

15th