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
2020-01-04 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-01-04_final.stac-item
2020-01-04 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2020-01-04_final.stac-item
2020-01-04 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-01-04_final.stac-item
2020-01-04 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-04_final.stac-item
2020-01-05 09:32:41	ga_s2bm_ard_3-2-1_56KMB_2020-01-05_final.stac-item
2020-01-05 09:32:47	ga_s2bm_ard_3-2-1_56KNA_2020-01-05_final.stac-item
2020-01-05 09:32:50	ga_s2bm_ard_3-2-1_56KMA_2020-01-05_final
2020-01-05 09:33:23	ga_s2bm_ard_3-2-1_56KLU_2020-01-05_final
2020-01-05 09:33:30	ga_s2bm_ard_3-2-1_56JNT_2020-01-05_final
2020-01-05 09:33:37	ga_s2bm_ard_3-2-1_56JLT_2020-01-05_final
2020-01-05 09:33:45	ga_s2bm_ard_3-2-1_56JNS_2020-01-05_final
2020-01-05 09:33:49	ga_s2bm_ard_3-2-1_56JMS_2020-01-05_final
2020-01-05 09:33:56	ga_s2bm_ard_3-2-1_55JHM_2020-01-05_final
2020-01-05 09:33:56	ga_s2bm_ard_3-2-1_56JKS_2020-01-05_final
2020-01-05 09:34:21	ga_s2bm_ard_3-2-1_56JLQ_2020-01-05_final
2020-01-05 09:34:39	ga_s2bm_ard_3-2-1_56JKP_2020-01-05_final
2020-01-05 09:34:45	ga_s2bm_ard_3-2-1_55JGJ_2020-01-05_final
2020-01-05 09:35:10	ga_s2bm_ard_3-2-1_55JGG_2020-01-05_final
2020-01-05 09:35:25	ga_s2bm_ard_3-2-1_55JGF_2020-01-05_final
2020-01-05 09:35:45	ga_s2bm_ard_3-2-1_55HFE_2020-01-05_final
2020-01-05 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2020-01-05_final
2020-01-05 09:36:06	ga_s2bm_ard_3-2-1_56HKH_2020-01-05_final
2020-01-05 09:36:08	ga_s2bm_ard_3-2-1_55HGC_2020-01-05_final
2020-01-05 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2020-01-05_final
2020-01-05 09:36:22	ga_s2bm_ard_3-2-1_55HGB_2020-01-05_final
2020-01-05 09:36:26	ga_s2bm_ard_3-2-1_55HFB_2020-01-05_final
2020-01-05 09:36:45	ga_s2bm_ard_3-2-1_55HEA_2020-01-05_final
2020-01-05 09:37:06	ga_s2bm_ard_3-2-1_55HGU_2020-01-05_final.stac-item
2020-01-05 09:37:24	ga_s2bm_ard_3-2-1_55HFT_2020-01-05_final.stac-item
2020-01-05 09:37:38	ga_s2bm_ard_3-2-1_55HFS_2020-01-05_final.stac-item
2020-01-05 09:37:42	ga_s2bm_ard_3-2-1_55HES_2020-01-05_final
2020-01-05 09:37:46	ga_s2bm_ard_3-2-1_55HDS_2020-01-05_final
2020-01-05 09:38:21	ga_s2bm_ard_3-2-1_55GFP_2020-01-05_final
2020-01-05 09:38:26	ga_s2bm_ard_3-2-1_55GEP_2020-01-05_final
2020-01-05 09:38:29	ga_s2bm_ard_3-2-1_55GDP_2020-01-05_final
2020-01-05 09:38:35	ga_s2bm_ard_3-2-1_55GCP_2020-01-05_final
2020-01-05 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2020-01-05_final.stac-item
2020-01-05 09:38:57	ga_s2bm_ard_3-2-1_55GDM_2020-01-05_final.stac-item
2020-01-05 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2020-01-05_final.stac-item
2020-01-05 11:09:59	ga_s2bm_ard_3-2-1_53LKJ_2020-01-05_final.stac-item
2020-01-05 11:10:42	ga_s2bm_ard_3-2-1_52LHL_2020-01-05_final
2020-01-05 11:10:52	ga_s2bm_ard_3-2-1_52LGL_2020-01-05_final
2020-01-05 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2020-01-05_final
2020-01-05 11:10:59	ga_s2bm_ard_3-2-1_52LEL_2020-01-05_final.stac-item
2020-01-05 11:11:07	ga_s2bm_ard_3-2-1_52LGK_2020-01-05_final
2020-01-05 11:11:09	ga_s2bm_ard_3-2-1_52LFK_2020-01-05_final
2020-01-05 11:11:11	ga_s2bm_ard_3-2-1_52LEK_2020-01-05_final.stac-item
2020-01-05 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2020-01-05_final
2020-01-05 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2020-01-05_final
2020-01-05 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2020-01-05_final.stac-item
2020-01-05 11:11:25	ga_s2bm_ard_3-2-1_52LFJ_2020-01-05_final
2020-01-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2020-01-05_final
2020-01-05 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2020-01-05_final
2020-01-05 11:11:35	ga_s2bm_ard_3-2-1_52LGH_2020-01-05_final
2020-01-05 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2020-01-05_final
2020-01-05 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2020-01-05_final
2020-01-05 11:11:45	ga_s2bm_ard_3-2-1_52KGG_2020-01-05_final
2020-01-05 11:11:46	ga_s2bm_ard_3-2-1_52LDH_2020-01-05_final
2020-01-05 11:11:58	ga_s2bm_ard_3-2-1_52KEG_2020-01-05_final
2020-01-05 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2020-01-05_final
2020-01-05 11:12:08	ga_s2bm_ard_3-2-1_52KFF_2020-01-05_final
2020-01-05 11:12:12	ga_s2bm_ard_3-2-1_52KEF_2020-01-05_final
2020-01-05 11:12:15	ga_s2bm_ard_3-2-1_52KDF_2020-01-05_final
2020-01-05 11:12:18	ga_s2bm_ard_3-2-1_52KCF_2020-01-05_final
2020-01-05 11:12:23	ga_s2bm_ard_3-2-1_52KFE_2020-01-05_final
2020-01-05 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2020-01-05_final
2020-01-05 11:12:30	ga_s2bm_ard_3-2-1_52KDE_2020-01-05_final
2020-01-05 11:12:37	ga_s2bm_ard_3-2-1_52KFD_2020-01-05_final
2020-01-05 11:12:41	ga_s2bm_ard_3-2-1_52KED_2020-01-05_final
2020-01-05 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2020-01-05_final
2020-01-05 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2020-01-05_final
2020-01-05 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2020-01-05_final
2020-01-05 11:13:10	ga_s2bm_ard_3-2-1_52KEB_2020-01-05_final
2020-01-05 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2020-01-05_final
2020-01-05 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2020-01-05_final
2020-01-05 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2020-01-05_final
2020-01-05 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2020-01-05_final
2020-01-05 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2020-01-05_final
2020-01-05 11:14:01	ga_s2bm_ard_3-2-1_52KCU_2020-01-05_final
2020-01-05 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2020-01-05_final
2020-01-05 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2020-01-05_final
2020-01-05 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2020-01-05_final
2020-01-05 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2020-01-05_final
2020-01-05 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2020-01-05_final
2020-01-05 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2020-01-05_final
2020-01-05 11:14:32	ga_s2bm_ard_3-2-1_51JZM_2020-01-05_final
2020-01-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2020-01-05_final
2020-01-05 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2020-01-05_final
2020-01-05 11:14:50	ga_s2bm_ard_3-2-1_51JYL_2020-01-05_final
2020-01-05 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2020-01-05_final
2020-01-05 11:15:13	ga_s2bm_ard_3-2-1_52JCP_2020-01-05_final
2020-01-05 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2020-01-05_final
2020-01-05 11:15:20	ga_s2bm_ard_3-2-1_51JYJ_2020-01-05_final
2020-01-05 11:15:46	ga_s2bm_ard_3-2-1_52JBM_2020-01-05_final
2020-01-05 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2020-01-05_final
2020-01-05 11:15:57	ga_s2bm_ard_3-2-1_52JCL_2020-01-05_final
2020-01-05 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2020-01-05_final
2020-01-05 11:16:21	ga_s2bm_ard_3-2-1_51HXE_2020-01-05_final
2020-01-05 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2020-01-05_final
2020-01-05 11:17:01	ga_s2bm_ard_3-2-1_51HXB_2020-01-05_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