Search ga_s2bm_ard_3 on 24th April 2020

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
2020-04-24 09:32:39	ga_s2bm_ard_3-2-1_56KNB_2020-04-24_final
2020-04-24 09:32:41	ga_s2bm_ard_3-2-1_56KMB_2020-04-24_final
2020-04-24 09:32:43	ga_s2bm_ard_3-2-1_56KLB_2020-04-24_final.stac-item
2020-04-24 09:32:47	ga_s2bm_ard_3-2-1_56KNA_2020-04-24_final
2020-04-24 09:32:50	ga_s2bm_ard_3-2-1_56KMA_2020-04-24_final.stac-item
2020-04-24 09:32:53	ga_s2bm_ard_3-2-1_56KLA_2020-04-24_final.stac-item
2020-04-24 09:33:07	ga_s2bm_ard_3-2-1_56KLV_2020-04-24_final.stac-item
2020-04-24 09:33:19	ga_s2bm_ard_3-2-1_56KMU_2020-04-24_final.stac-item
2020-04-24 09:33:22	ga_s2bm_ard_3-2-1_56KLU_2020-04-24_final.stac-item
2020-04-24 09:33:28	ga_s2bm_ard_3-2-1_56JNT_2020-04-24_final.stac-item
2020-04-24 09:33:30	ga_s2bm_ard_3-2-1_56JMT_2020-04-24_final.stac-item
2020-04-24 09:33:32	ga_s2bm_ard_3-2-1_56JLT_2020-04-24_final.stac-item
2020-04-24 09:33:34	ga_s2bm_ard_3-2-1_56JNS_2020-04-24_final.stac-item
2020-04-24 09:33:35	ga_s2bm_ard_3-2-1_56JNT_2020-04-24_final.stac-item
2020-04-24 09:33:37	ga_s2bm_ard_3-2-1_56JMT_2020-04-24_final.stac-item
2020-04-24 09:33:39	ga_s2bm_ard_3-2-1_56JLT_2020-04-24_final.stac-item
2020-04-24 09:33:44	ga_s2bm_ard_3-2-1_56JNS_2020-04-24_final.stac-item
2020-04-24 09:33:48	ga_s2bm_ard_3-2-1_56JMS_2020-04-24_final.stac-item
2020-04-24 09:33:51	ga_s2bm_ard_3-2-1_56JLS_2020-04-24_final.stac-item
2020-04-24 09:33:55	ga_s2bm_ard_3-2-1_55JHM_2020-04-24_final.stac-item
2020-04-24 09:33:55	ga_s2bm_ard_3-2-1_56JKS_2020-04-24_final.stac-item
2020-04-24 09:34:02	ga_s2bm_ard_3-2-1_56JMR_2020-04-24_final.stac-item
2020-04-24 09:34:06	ga_s2bm_ard_3-2-1_56JLR_2020-04-24_final.stac-item
2020-04-24 09:34:09	ga_s2bm_ard_3-2-1_56JKR_2020-04-24_final.stac-item
2020-04-24 09:34:17	ga_s2bm_ard_3-2-1_56JMQ_2020-04-24_final.stac-item
2020-04-24 09:34:20	ga_s2bm_ard_3-2-1_56JLQ_2020-04-24_final.stac-item
2020-04-24 09:34:23	ga_s2bm_ard_3-2-1_56JKQ_2020-04-24_final.stac-item
2020-04-24 09:34:31	ga_s2bm_ard_3-2-1_56JMP_2020-04-24_final.stac-item
2020-04-24 09:34:35	ga_s2bm_ard_3-2-1_56JLP_2020-04-24_final.stac-item
2020-04-24 09:34:38	ga_s2bm_ard_3-2-1_56JKP_2020-04-24_final.stac-item
2020-04-24 09:34:38	ga_s2bm_ard_3-2-1_56JNN_2020-04-24_final.stac-item
2020-04-24 09:34:45	ga_s2bm_ard_3-2-1_55JGJ_2020-04-24_final.stac-item
2020-04-24 09:34:46	ga_s2bm_ard_3-2-1_56JMN_2020-04-24_final.stac-item
2020-04-24 09:34:49	ga_s2bm_ard_3-2-1_56JLN_2020-04-24_final.stac-item
2020-04-24 09:34:53	ga_s2bm_ard_3-2-1_56JKN_2020-04-24_final.stac-item
2020-04-24 09:34:56	ga_s2bm_ard_3-2-1_55JGH_2020-04-24_final.stac-item
2020-04-24 09:35:00	ga_s2bm_ard_3-2-1_56JMM_2020-04-24_final.stac-item
2020-04-24 09:38:29	ga_s2bm_ard_3-2-1_55GDP_2020-04-24_final.stac-item
2020-04-24 09:38:35	ga_s2bm_ard_3-2-1_55GCP_2020-04-24_final.stac-item
2020-04-24 09:38:35	ga_s2bm_ard_3-2-1_55GFN_2020-04-24_final.stac-item
2020-04-24 09:38:39	ga_s2bm_ard_3-2-1_55GEN_2020-04-24_final.stac-item
2020-04-24 09:38:43	ga_s2bm_ard_3-2-1_55GDN_2020-04-24_final.stac-item
2020-04-24 09:38:47	ga_s2bm_ard_3-2-1_55GCN_2020-04-24_final.stac-item
2020-04-24 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2020-04-24_final.stac-item
2020-04-24 11:11:07	ga_s2bm_ard_3-2-1_52LGK_2020-04-24_final.stac-item
2020-04-24 11:11:10	ga_s2bm_ard_3-2-1_52LFK_2020-04-24_final.stac-item
2020-04-24 11:11:21	ga_s2bm_ard_3-2-1_52LGJ_2020-04-24_final.stac-item
2020-04-24 11:11:25	ga_s2bm_ard_3-2-1_52LFJ_2020-04-24_final.stac-item
2020-04-24 11:11:28	ga_s2bm_ard_3-2-1_52LEJ_2020-04-24_final.stac-item
2020-04-24 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2020-04-24_final.stac-item
2020-04-24 11:11:34	ga_s2bm_ard_3-2-1_52LGH_2020-04-24_final.stac-item
2020-04-24 11:11:39	ga_s2bm_ard_3-2-1_52LFH_2020-04-24_final.stac-item
2020-04-24 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2020-04-24_final.stac-item
2020-04-24 11:11:45	ga_s2bm_ard_3-2-1_52KGG_2020-04-24_final.stac-item
2020-04-24 11:11:46	ga_s2bm_ard_3-2-1_52LDH_2020-04-24_final.stac-item
2020-04-24 11:11:53	ga_s2bm_ard_3-2-1_52KFG_2020-04-24_final.stac-item
2020-04-24 11:11:57	ga_s2bm_ard_3-2-1_52KEG_2020-04-24_final.stac-item
2020-04-24 11:12:00	ga_s2bm_ard_3-2-1_52KDG_2020-04-24_final.stac-item
2020-04-24 11:12:05	ga_s2bm_ard_3-2-1_52KCG_2020-04-24_final.stac-item
2020-04-24 11:12:08	ga_s2bm_ard_3-2-1_52KFF_2020-04-24_final.stac-item
2020-04-24 11:12:12	ga_s2bm_ard_3-2-1_52KEF_2020-04-24_final.stac-item
2020-04-24 11:12:15	ga_s2bm_ard_3-2-1_52KDF_2020-04-24_final.stac-item
2020-04-24 11:12:18	ga_s2bm_ard_3-2-1_52KCF_2020-04-24_final.stac-item
2020-04-24 11:12:23	ga_s2bm_ard_3-2-1_52KFE_2020-04-24_final.stac-item
2020-04-24 11:12:26	ga_s2bm_ard_3-2-1_52KEE_2020-04-24_final.stac-item
2020-04-24 11:12:29	ga_s2bm_ard_3-2-1_52KDE_2020-04-24_final.stac-item
2020-04-24 11:12:32	ga_s2bm_ard_3-2-1_52KCE_2020-04-24_final.stac-item
2020-04-24 11:12:36	ga_s2bm_ard_3-2-1_52KFD_2020-04-24_final.stac-item
2020-04-24 11:12:41	ga_s2bm_ard_3-2-1_52KED_2020-04-24_final.stac-item
2020-04-24 11:12:44	ga_s2bm_ard_3-2-1_52KDD_2020-04-24_final.stac-item
2020-04-24 11:12:47	ga_s2bm_ard_3-2-1_52KCD_2020-04-24_final.stac-item
2020-04-24 11:12:48	ga_s2bm_ard_3-2-1_52KFC_2020-04-24_final.stac-item
2020-04-24 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2020-04-24_final.stac-item
2020-04-24 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2020-04-24_final.stac-item
2020-04-24 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2020-04-24_final.stac-item
2020-04-24 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2020-04-24_final.stac-item
2020-04-24 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2020-04-24_final.stac-item
2020-04-24 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2020-04-24_final.stac-item
2020-04-24 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2020-04-24_final.stac-item
2020-04-24 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2020-04-24_final.stac-item
2020-04-24 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2020-04-24_final.stac-item
2020-04-24 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2020-04-24_final.stac-item
2020-04-24 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2020-04-24_final.stac-item
2020-04-24 11:13:31	ga_s2bm_ard_3-2-1_52KCA_2020-04-24_final.stac-item
2020-04-24 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2020-04-24_final.stac-item
2020-04-24 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2020-04-24_final.stac-item
2020-04-24 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2020-04-24_final.stac-item
2020-04-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2020-04-24_final.stac-item
2020-04-24 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2020-04-24_final.stac-item
2020-04-24 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-04-24_final.stac-item
2020-04-24 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2020-04-24_final.stac-item
2020-04-24 11:13:52	ga_s2bm_ard_3-2-1_52KEU_2020-04-24_final.stac-item
2020-04-24 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2020-04-24_final.stac-item
2020-04-24 11:14:00	ga_s2bm_ard_3-2-1_52KCU_2020-04-24_final.stac-item
2020-04-24 11:14:02	ga_s2bm_ard_3-2-1_52JET_2020-04-24_final.stac-item
2020-04-24 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2020-04-24_final.stac-item
2020-04-24 11:14:03	ga_s2bm_ard_3-2-1_52KBU_2020-04-24_final.stac-item
2020-04-24 11:14:11	ga_s2bm_ard_3-2-1_52JDT_2020-04-24_final.stac-item
2020-04-24 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2020-04-24_final.stac-item
2020-04-24 11:17:01	ga_s2bm_ard_3-2-1_51HXB_2020-04-24_final

Return to ga_s2bm_ard_3 on 24th April 2020 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

2020

April

24th