Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-08-08 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-08-08_final
2019-08-08 09:37:03	ga_s2bm_ard_3-2-1_55HGV_2019-08-08_final
2019-08-08 09:37:07	ga_s2bm_ard_3-2-1_55HFV_2019-08-08_final
2019-08-08 09:37:11	ga_s2bm_ard_3-2-1_55HEV_2019-08-08_final
2019-08-08 09:37:18	ga_s2bm_ard_3-2-1_55HGU_2019-08-08_final.stac-item
2019-08-08 09:37:22	ga_s2bm_ard_3-2-1_55HFU_2019-08-08_final.stac-item
2019-08-08 09:37:26	ga_s2bm_ard_3-2-1_55HEU_2019-08-08_final
2019-08-08 09:37:51	ga_s2bm_ard_3-2-1_55HFS_2019-08-08_final.stac-item
2019-08-08 09:37:53	ga_s2bm_ard_3-2-1_55HES_2019-08-08_final
2019-08-08 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2019-08-08_final
2019-08-08 09:37:58	ga_s2bm_ard_3-2-1_55HFS_2019-08-08_final.stac-item
2019-08-08 09:38:00	ga_s2bm_ard_3-2-1_55HES_2019-08-08_final
2019-08-08 09:38:02	ga_s2bm_ard_3-2-1_55HDS_2019-08-08_final
2019-08-08 09:38:19	ga_s2bm_ard_3-2-1_55GFQ_2019-08-08_final
2019-08-08 09:38:23	ga_s2bm_ard_3-2-1_55GEQ_2019-08-08_final
2019-08-08 09:38:27	ga_s2bm_ard_3-2-1_55GDQ_2019-08-08_final
2019-08-08 09:38:34	ga_s2bm_ard_3-2-1_55GFP_2019-08-08_final
2019-08-08 09:38:38	ga_s2bm_ard_3-2-1_55GEP_2019-08-08_final
2019-08-08 09:38:42	ga_s2bm_ard_3-2-1_55GDP_2019-08-08_final
2019-08-08 09:38:47	ga_s2bm_ard_3-2-1_55GCP_2019-08-08_final
2019-08-08 09:38:48	ga_s2bm_ard_3-2-1_55GFN_2019-08-08_final
2019-08-08 09:38:52	ga_s2bm_ard_3-2-1_55GEN_2019-08-08_final
2019-08-08 09:38:56	ga_s2bm_ard_3-2-1_55GDN_2019-08-08_final
2019-08-08 09:39:00	ga_s2bm_ard_3-2-1_55GCN_2019-08-08_final
2019-08-08 09:39:07	ga_s2bm_ard_3-2-1_55GEM_2019-08-08_final.stac-item
2019-08-08 09:39:09	ga_s2bm_ard_3-2-1_55GDM_2019-08-08_final.stac-item
2019-08-08 09:39:11	ga_s2bm_ard_3-2-1_55GCM_2019-08-08_final.stac-item
2019-08-08 11:10:10	ga_s2bm_ard_3-2-1_53LKJ_2019-08-08_final.stac-item
2019-08-08 11:10:12	ga_s2bm_ard_3-2-1_53LKJ_2019-08-08_final.stac-item
2019-08-08 11:10:36	ga_s2bm_ard_3-2-1_52LGN_2019-08-08_final
2019-08-08 11:10:44	ga_s2bm_ard_3-2-1_52LHM_2019-08-08_final
2019-08-08 11:10:50	ga_s2bm_ard_3-2-1_52LGM_2019-08-08_final
2019-08-08 11:10:54	ga_s2bm_ard_3-2-1_52LFM_2019-08-08_final.stac-item
2019-08-08 11:11:05	ga_s2bm_ard_3-2-1_52LGL_2019-08-08_final
2019-08-08 11:11:09	ga_s2bm_ard_3-2-1_52LFL_2019-08-08_final
2019-08-08 11:11:12	ga_s2bm_ard_3-2-1_52LEL_2019-08-08_final.stac-item
2019-08-08 11:11:23	ga_s2bm_ard_3-2-1_52LFK_2019-08-08_final
2019-08-08 11:11:26	ga_s2bm_ard_3-2-1_52LEK_2019-08-08_final.stac-item
2019-08-08 11:11:47	ga_s2bm_ard_3-2-1_52LGH_2019-08-08_final
2019-08-08 11:12:06	ga_s2bm_ard_3-2-1_52KFG_2019-08-08_final
2019-08-08 11:12:10	ga_s2bm_ard_3-2-1_52KEG_2019-08-08_final
2019-08-08 11:12:13	ga_s2bm_ard_3-2-1_52KDG_2019-08-08_final
2019-08-08 11:12:18	ga_s2bm_ard_3-2-1_52KCG_2019-08-08_final
2019-08-08 11:12:21	ga_s2bm_ard_3-2-1_52KFF_2019-08-08_final
2019-08-08 11:12:31	ga_s2bm_ard_3-2-1_52KCF_2019-08-08_final
2019-08-08 11:12:49	ga_s2bm_ard_3-2-1_52KFD_2019-08-08_final
2019-08-08 11:12:53	ga_s2bm_ard_3-2-1_52KED_2019-08-08_final
2019-08-08 11:12:57	ga_s2bm_ard_3-2-1_52KDD_2019-08-08_final
2019-08-08 11:13:00	ga_s2bm_ard_3-2-1_52KCD_2019-08-08_final
2019-08-08 11:13:08	ga_s2bm_ard_3-2-1_52KEC_2019-08-08_final
2019-08-08 11:13:11	ga_s2bm_ard_3-2-1_52KDC_2019-08-08_final
2019-08-08 11:13:15	ga_s2bm_ard_3-2-1_52KCC_2019-08-08_final
2019-08-08 11:13:22	ga_s2bm_ard_3-2-1_52KEB_2019-08-08_final
2019-08-08 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2019-08-08_final
2019-08-08 11:13:29	ga_s2bm_ard_3-2-1_52KCB_2019-08-08_final
2019-08-08 11:13:33	ga_s2bm_ard_3-2-1_52KBB_2019-08-08_final
2019-08-08 11:13:36	ga_s2bm_ard_3-2-1_52KEA_2019-08-08_final
2019-08-08 11:13:36	ga_s2bm_ard_3-2-1_51KZS_2019-08-08_final
2019-08-08 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2019-08-08_final
2019-08-08 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2019-08-08_final
2019-08-08 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2019-08-08_final
2019-08-08 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2019-08-08_final
2019-08-08 11:13:43	ga_s2bm_ard_3-2-1_52KEA_2019-08-08_final
2019-08-08 11:13:44	ga_s2bm_ard_3-2-1_52KDA_2019-08-08_final
2019-08-08 11:13:46	ga_s2bm_ard_3-2-1_52KCA_2019-08-08_final
2019-08-08 11:13:47	ga_s2bm_ard_3-2-1_52KBA_2019-08-08_final
2019-08-08 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-08-08_final
2019-08-08 11:13:58	ga_s2bm_ard_3-2-1_52KCV_2019-08-08_final
2019-08-08 11:14:01	ga_s2bm_ard_3-2-1_51KZQ_2019-08-08_final
2019-08-08 11:14:01	ga_s2bm_ard_3-2-1_52KBV_2019-08-08_final
2019-08-08 11:14:04	ga_s2bm_ard_3-2-1_52KEU_2019-08-08_final
2019-08-08 11:14:09	ga_s2bm_ard_3-2-1_52KDU_2019-08-08_final
2019-08-08 11:14:13	ga_s2bm_ard_3-2-1_52KCU_2019-08-08_final
2019-08-08 11:14:15	ga_s2bm_ard_3-2-1_52JET_2019-08-08_final
2019-08-08 11:14:16	ga_s2bm_ard_3-2-1_51KZP_2019-08-08_final
2019-08-08 11:14:16	ga_s2bm_ard_3-2-1_52KBU_2019-08-08_final
2019-08-08 11:14:24	ga_s2bm_ard_3-2-1_52JDT_2019-08-08_final
2019-08-08 11:14:28	ga_s2bm_ard_3-2-1_52JCT_2019-08-08_final
2019-08-08 11:14:30	ga_s2bm_ard_3-2-1_51JZN_2019-08-08_final
2019-08-08 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-08-08_final
2019-08-08 11:14:42	ga_s2bm_ard_3-2-1_52JCS_2019-08-08_final
2019-08-08 11:14:45	ga_s2bm_ard_3-2-1_52JBS_2019-08-08_final
2019-08-08 11:14:53	ga_s2bm_ard_3-2-1_52JDR_2019-08-08_final
2019-08-08 11:14:57	ga_s2bm_ard_3-2-1_52JCR_2019-08-08_final
2019-08-08 11:15:07	ga_s2bm_ard_3-2-1_52JDQ_2019-08-08_final
2019-08-08 11:15:14	ga_s2bm_ard_3-2-1_52JBQ_2019-08-08_final
2019-08-08 11:15:19	ga_s2bm_ard_3-2-1_52JDP_2019-08-08_final
2019-08-08 11:15:25	ga_s2bm_ard_3-2-1_52JCP_2019-08-08_final
2019-08-08 11:15:29	ga_s2bm_ard_3-2-1_52JBP_2019-08-08_final
2019-08-08 11:15:32	ga_s2bm_ard_3-2-1_51JYJ_2019-08-08_final
2019-08-08 11:15:37	ga_s2bm_ard_3-2-1_51JXJ_2019-08-08_final
2019-08-08 11:15:44	ga_s2bm_ard_3-2-1_52JBN_2019-08-08_final
2019-08-08 11:15:46	ga_s2bm_ard_3-2-1_51JYH_2019-08-08_final
2019-08-08 11:16:09	ga_s2bm_ard_3-2-1_52JCL_2019-08-08_final
2019-08-08 11:16:19	ga_s2bm_ard_3-2-1_51JXF_2019-08-08_final
2019-08-08 11:16:27	ga_s2bm_ard_3-2-1_51JWF_2019-08-08_final
2019-08-08 11:16:27	ga_s2bm_ard_3-2-1_52HBK_2019-08-08_final
2019-08-08 11:16:30	ga_s2bm_ard_3-2-1_51HYE_2019-08-08_final
2019-08-08 11:16:38	ga_s2bm_ard_3-2-1_51HWE_2019-08-08_final
2019-08-08 11:17:06	ga_s2bm_ard_3-2-1_51HWC_2019-08-08_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years