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
2020-11-09 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-11-09_final
2020-11-09 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-11-09_final
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final
2020-11-09 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-11-09_final
2020-11-09 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-11-09_final
2020-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-09_final
2020-11-10 09:32:54	ga_s2bm_ard_3-2-1_56KNA_2020-11-10_final.stac-item
2020-11-10 09:32:57	ga_s2bm_ard_3-2-1_56KMA_2020-11-10_final
2020-11-10 09:33:00	ga_s2bm_ard_3-2-1_56KLA_2020-11-10_final
2020-11-10 09:33:14	ga_s2bm_ard_3-2-1_56KLV_2020-11-10_final
2020-11-10 09:33:37	ga_s2bm_ard_3-2-1_56JNT_2020-11-10_final
2020-11-10 09:33:40	ga_s2bm_ard_3-2-1_56JMT_2020-11-10_final
2020-11-10 09:33:51	ga_s2bm_ard_3-2-1_56JNS_2020-11-10_final
2020-11-10 09:33:55	ga_s2bm_ard_3-2-1_56JMS_2020-11-10_final
2020-11-10 09:33:58	ga_s2bm_ard_3-2-1_56JLS_2020-11-10_final
2020-11-10 09:34:02	ga_s2bm_ard_3-2-1_56JKS_2020-11-10_final
2020-11-10 09:34:45	ga_s2bm_ard_3-2-1_56JKP_2020-11-10_final
2020-11-10 09:34:45	ga_s2bm_ard_3-2-1_56JNN_2020-11-10_final
2020-11-10 09:34:52	ga_s2bm_ard_3-2-1_55JGJ_2020-11-10_final
2020-11-10 09:34:53	ga_s2bm_ard_3-2-1_56JMN_2020-11-10_final
2020-11-10 09:35:00	ga_s2bm_ard_3-2-1_56JKN_2020-11-10_final
2020-11-10 09:35:11	ga_s2bm_ard_3-2-1_56JLM_2020-11-10_final
2020-11-10 09:35:29	ga_s2bm_ard_3-2-1_56JKL_2020-11-10_final
2020-11-10 09:35:31	ga_s2bm_ard_3-2-1_55JGF_2020-11-10_final
2020-11-10 09:35:40	ga_s2bm_ard_3-2-1_56HLK_2020-11-10_final
2020-11-10 09:35:50	ga_s2bm_ard_3-2-1_56HMJ_2020-11-10_final
2020-11-10 09:35:51	ga_s2bm_ard_3-2-1_55HFE_2020-11-10_final
2020-11-10 09:35:55	ga_s2bm_ard_3-2-1_56HLJ_2020-11-10_final
2020-11-10 09:36:04	ga_s2bm_ard_3-2-1_55HFD_2020-11-10_final
2020-11-10 09:36:09	ga_s2bm_ard_3-2-1_56HLH_2020-11-10_final.stac-item
2020-11-10 09:36:18	ga_s2bm_ard_3-2-1_55HFC_2020-11-10_final
2020-11-10 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2020-11-10_final
2020-11-10 09:36:58	ga_s2bm_ard_3-2-1_55HGV_2020-11-10_final
2020-11-10 09:37:01	ga_s2bm_ard_3-2-1_55HFV_2020-11-10_final
2020-11-10 09:37:05	ga_s2bm_ard_3-2-1_55HEV_2020-11-10_final
2020-11-10 09:37:30	ga_s2bm_ard_3-2-1_55HFT_2020-11-10_final.stac-item
2020-11-10 09:37:34	ga_s2bm_ard_3-2-1_55HET_2020-11-10_final
2020-11-10 09:38:42	ga_s2bm_ard_3-2-1_55GFN_2020-11-10_final
2020-11-10 09:38:46	ga_s2bm_ard_3-2-1_55GEN_2020-11-10_final
2020-11-10 09:38:50	ga_s2bm_ard_3-2-1_55GDN_2020-11-10_final
2020-11-10 09:38:54	ga_s2bm_ard_3-2-1_55GCN_2020-11-10_final
2020-11-10 09:39:01	ga_s2bm_ard_3-2-1_55GEM_2020-11-10_final.stac-item
2020-11-10 11:10:05	ga_s2bm_ard_3-2-1_53LKJ_2020-11-10_final.stac-item
2020-11-10 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2020-11-10_final
2020-11-10 11:10:30	ga_s2bm_ard_3-2-1_52LGN_2020-11-10_final
2020-11-10 11:10:34	ga_s2bm_ard_3-2-1_52LFN_2020-11-10_final.stac-item
2020-11-10 11:10:39	ga_s2bm_ard_3-2-1_52LHM_2020-11-10_final
2020-11-10 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2020-11-10_final
2020-11-10 11:10:48	ga_s2bm_ard_3-2-1_52LFM_2020-11-10_final.stac-item
2020-11-10 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2020-11-10_final
2020-11-10 11:11:17	ga_s2bm_ard_3-2-1_52LFK_2020-11-10_final
2020-11-10 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2020-11-10_final.stac-item
2020-11-10 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2020-11-10_final
2020-11-10 11:11:38	ga_s2bm_ard_3-2-1_52LDJ_2020-11-10_final
2020-11-10 11:11:46	ga_s2bm_ard_3-2-1_52LFH_2020-11-10_final
2020-11-10 11:11:49	ga_s2bm_ard_3-2-1_52LEH_2020-11-10_final
2020-11-10 11:11:52	ga_s2bm_ard_3-2-1_52KGG_2020-11-10_final
2020-11-10 11:11:53	ga_s2bm_ard_3-2-1_52LDH_2020-11-10_final
2020-11-10 11:12:30	ga_s2bm_ard_3-2-1_52KFE_2020-11-10_final
2020-11-10 11:12:33	ga_s2bm_ard_3-2-1_52KEE_2020-11-10_final
2020-11-10 11:12:36	ga_s2bm_ard_3-2-1_52KDE_2020-11-10_final
2020-11-10 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2020-11-10_final
2020-11-10 11:12:48	ga_s2bm_ard_3-2-1_52KED_2020-11-10_final
2020-11-10 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2020-11-10_final
2020-11-10 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2020-11-10_final
2020-11-10 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2020-11-10_final
2020-11-10 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2020-11-10_final
2020-11-10 11:13:27	ga_s2bm_ard_3-2-1_52KBB_2020-11-10_final
2020-11-10 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2020-11-10_final
2020-11-10 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2020-11-10_final
2020-11-10 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2020-11-10_final
2020-11-10 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2020-11-10_final
2020-11-10 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2020-11-10_final
2020-11-10 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2020-11-10_final
2020-11-10 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2020-11-10_final
2020-11-10 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2020-11-10_final
2020-11-10 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2020-11-10_final
2020-11-10 11:14:09	ga_s2bm_ard_3-2-1_52JET_2020-11-10_final
2020-11-10 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2020-11-10_final
2020-11-10 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2020-11-10_final
2020-11-10 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2020-11-10_final
2020-11-10 11:14:25	ga_s2bm_ard_3-2-1_52JBT_2020-11-10_final
2020-11-10 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2020-11-10_final
2020-11-10 11:14:36	ga_s2bm_ard_3-2-1_52JCS_2020-11-10_final
2020-11-10 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2020-11-10_final
2020-11-10 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2020-11-10_final
2020-11-10 11:14:57	ga_s2bm_ard_3-2-1_51JYL_2020-11-10_final
2020-11-10 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2020-11-10_final
2020-11-10 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2020-11-10_final
2020-11-10 11:15:34	ga_s2bm_ard_3-2-1_52JCN_2020-11-10_final
2020-11-10 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2020-11-10_final
2020-11-10 11:15:49	ga_s2bm_ard_3-2-1_52JCM_2020-11-10_final
2020-11-10 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2020-11-10_final
2020-11-10 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2020-11-10_final
2020-11-10 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-11-10_final
2020-11-10 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2020-11-10_final
2020-11-10 11:16:17	ga_s2bm_ard_3-2-1_52HCK_2020-11-10_final.stac-item
2020-11-10 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2020-11-10_final
2020-11-10 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2020-11-10_final
2020-11-10 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2020-11-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years