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
2020-01-11 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-01-11_final
2020-01-11 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2020-01-11_final
2020-01-11 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2020-01-11_final
2020-01-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-01-11_final
2020-01-11 11:34:20	ga_s2bm_ard_3-2-1_51JWN_2020-01-11_final
2020-01-11 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2020-01-11_final
2020-01-11 11:34:26	ga_s2bm_ard_3-2-1_51JUN_2020-01-11_final
2020-01-11 11:34:34	ga_s2bm_ard_3-2-1_51JWM_2020-01-11_final
2020-01-11 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-01-11_final
2020-01-11 11:34:44	ga_s2bm_ard_3-2-1_50JRS_2020-01-11_final
2020-01-11 11:34:44	ga_s2bm_ard_3-2-1_51JTM_2020-01-11_final
2020-01-11 11:35:13	ga_s2bm_ard_3-2-1_51JTK_2020-01-11_final
2020-01-11 11:35:28	ga_s2bm_ard_3-2-1_51JTJ_2020-01-11_final
2020-01-11 11:35:32	ga_s2bm_ard_3-2-1_50JQP_2020-01-11_final
2020-01-11 11:35:36	ga_s2bm_ard_3-2-1_51JVH_2020-01-11_final
2020-01-11 11:36:08	ga_s2bm_ard_3-2-1_51JUF_2020-01-11_final
2020-01-11 11:36:18	ga_s2bm_ard_3-2-1_51HVE_2020-01-11_final
2020-01-11 11:36:26	ga_s2bm_ard_3-2-1_51HTE_2020-01-11_final
2020-01-11 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2020-01-11_final
2020-01-11 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2020-01-11_final
2020-01-11 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2020-01-11_final
2020-01-11 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2020-01-11_final
2020-01-11 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2020-01-11_final
2020-01-11 11:37:10	ga_s2bm_ard_3-2-1_51HTB_2020-01-11_final.stac-item
2020-01-11 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-01-11_final.stac-item
2020-01-12 09:23:49	ga_s2bm_ard_3-2-1_56JNS_2020-01-11_final
2020-01-12 09:24:47	ga_s2bm_ard_3-2-1_56JNN_2020-01-11_final
2020-01-12 09:24:50	ga_s2bm_ard_3-2-1_56JMN_2020-01-11_final
2020-01-12 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2020-01-11_final
2020-01-12 09:25:49	ga_s2bm_ard_3-2-1_56HMJ_2020-01-11_final
2020-01-12 09:25:52	ga_s2bm_ard_3-2-1_56HLJ_2020-01-11_final
2020-01-12 09:26:26	ga_s2bm_ard_3-2-1_56HKG_2020-01-11_final
2020-01-12 09:26:55	ga_s2bm_ard_3-2-1_55HGV_2020-01-11_final
2020-01-12 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2020-01-11_final.stac-item
2020-01-12 09:27:56	ga_s2bm_ard_3-2-1_55GFR_2020-01-11_final
2020-01-12 09:28:10	ga_s2bm_ard_3-2-1_55GFQ_2020-01-11_final
2020-01-12 09:28:39	ga_s2bm_ard_3-2-1_55GFN_2020-01-11_final
2020-01-12 09:28:43	ga_s2bm_ard_3-2-1_55GEN_2020-01-11_final
2020-01-12 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2020-01-11_final.stac-item
2020-01-12 11:00:31	ga_s2bm_ard_3-2-1_53LMG_2020-01-12_final
2020-01-12 11:00:34	ga_s2bm_ard_3-2-1_53LLG_2020-01-12_final
2020-01-12 11:00:39	ga_s2bm_ard_3-2-1_52LHM_2020-01-12_final
2020-01-12 11:00:43	ga_s2bm_ard_3-2-1_52LGM_2020-01-12_final
2020-01-12 11:00:43	ga_s2bm_ard_3-2-1_53LMF_2020-01-12_final
2020-01-12 11:00:49	ga_s2bm_ard_3-2-1_53LLF_2020-01-12_final
2020-01-12 11:00:52	ga_s2bm_ard_3-2-1_53LKF_2020-01-12_final
2020-01-12 11:00:53	ga_s2bm_ard_3-2-1_53LME_2020-01-12_final
2020-01-12 11:00:54	ga_s2bm_ard_3-2-1_52LHL_2020-01-12_final
2020-01-12 11:00:57	ga_s2bm_ard_3-2-1_52LGL_2020-01-12_final
2020-01-12 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-01-12_final
2020-01-12 11:01:08	ga_s2bm_ard_3-2-1_52LHK_2020-01-12_final
2020-01-12 11:01:12	ga_s2bm_ard_3-2-1_52LGK_2020-01-12_final
2020-01-12 11:01:18	ga_s2bm_ard_3-2-1_53LLD_2020-01-12_final
2020-01-12 11:01:21	ga_s2bm_ard_3-2-1_53LKD_2020-01-12_final
2020-01-12 11:01:23	ga_s2bm_ard_3-2-1_52LHJ_2020-01-12_final
2020-01-12 11:01:26	ga_s2bm_ard_3-2-1_52LGJ_2020-01-12_final
2020-01-12 11:01:33	ga_s2bm_ard_3-2-1_53LLC_2020-01-12_final
2020-01-12 11:01:36	ga_s2bm_ard_3-2-1_53LKC_2020-01-12_final
2020-01-12 11:01:37	ga_s2bm_ard_3-2-1_52LHH_2020-01-12_final
2020-01-12 11:01:41	ga_s2bm_ard_3-2-1_52LGH_2020-01-12_final
2020-01-12 11:01:45	ga_s2bm_ard_3-2-1_52LFH_2020-01-12_final
2020-01-12 11:01:46	ga_s2bm_ard_3-2-1_53KLB_2020-01-12_final
2020-01-12 11:01:50	ga_s2bm_ard_3-2-1_53KKB_2020-01-12_final
2020-01-12 11:01:52	ga_s2bm_ard_3-2-1_52KHG_2020-01-12_final
2020-01-12 11:01:55	ga_s2bm_ard_3-2-1_52KGG_2020-01-12_final
2020-01-12 11:01:58	ga_s2bm_ard_3-2-1_52KFG_2020-01-12_final
2020-01-12 11:02:05	ga_s2bm_ard_3-2-1_53KKA_2020-01-12_final
2020-01-12 11:02:06	ga_s2bm_ard_3-2-1_52KHF_2020-01-12_final
2020-01-12 11:02:10	ga_s2bm_ard_3-2-1_52KGF_2020-01-12_final
2020-01-12 11:02:28	ga_s2bm_ard_3-2-1_52KFE_2020-01-12_final
2020-01-12 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2020-01-12_final
2020-01-12 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-01-12_final
2020-01-12 11:02:46	ga_s2bm_ard_3-2-1_52KED_2020-01-12_final
2020-01-12 11:02:49	ga_s2bm_ard_3-2-1_53KKT_2020-01-12_final
2020-01-12 11:02:49	ga_s2bm_ard_3-2-1_52KHC_2020-01-12_final
2020-01-12 11:02:53	ga_s2bm_ard_3-2-1_52KGC_2020-01-12_final
2020-01-12 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2020-01-12_final
2020-01-12 11:03:14	ga_s2bm_ard_3-2-1_53KKR_2020-01-12_final
2020-01-12 11:03:17	ga_s2bm_ard_3-2-1_52KHA_2020-01-12_final
2020-01-12 11:03:22	ga_s2bm_ard_3-2-1_52KGA_2020-01-12_final
2020-01-12 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2020-01-12_final
2020-01-12 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2020-01-12_final
2020-01-12 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2020-01-12_final
2020-01-12 11:03:51	ga_s2bm_ard_3-2-1_52KGU_2020-01-12_final
2020-01-12 11:04:09	ga_s2bm_ard_3-2-1_52JFT_2020-01-12_final
2020-01-12 11:04:12	ga_s2bm_ard_3-2-1_52JET_2020-01-12_final
2020-01-12 11:04:15	ga_s2bm_ard_3-2-1_52JDT_2020-01-12_final
2020-01-12 11:04:17	ga_s2bm_ard_3-2-1_52JGS_2020-01-12_final
2020-01-12 11:04:21	ga_s2bm_ard_3-2-1_52JET_2020-01-12_final
2020-01-12 11:04:21	ga_s2bm_ard_3-2-1_52JES_2020-01-12_final
2020-01-12 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2020-01-12_final
2020-01-12 11:04:22	ga_s2bm_ard_3-2-1_52JDS_2020-01-12_final
2020-01-12 11:04:23	ga_s2bm_ard_3-2-1_52JGS_2020-01-12_final
2020-01-12 11:04:27	ga_s2bm_ard_3-2-1_52JES_2020-01-12_final
2020-01-12 11:04:30	ga_s2bm_ard_3-2-1_52JDS_2020-01-12_final
2020-01-12 11:05:25	ga_s2bm_ard_3-2-1_52JEN_2020-01-12_final
2020-01-12 11:05:28	ga_s2bm_ard_3-2-1_52JDN_2020-01-12_final
2020-01-12 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2020-01-12_final
2020-01-12 11:06:12	ga_s2bm_ard_3-2-1_52HDK_2020-01-12_final.stac-item
2020-01-12 11:06:18	ga_s2bm_ard_3-2-1_52HBK_2020-01-12_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