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
2019-06-18 11:43:41	ga_s2bm_ard_3-2-1_50KRB_2019-06-18_final
2019-06-18 11:43:43	ga_s2bm_ard_3-2-1_51KVR_2019-06-18_final
2019-06-18 11:43:44	ga_s2bm_ard_3-2-1_50KQB_2019-06-18_final
2019-06-18 11:43:55	ga_s2bm_ard_3-2-1_51KTR_2019-06-18_final
2019-06-18 11:43:55	ga_s2bm_ard_3-2-1_50KRA_2019-06-18_final
2019-06-18 11:43:59	ga_s2bm_ard_3-2-1_50KQA_2019-06-18_final
2019-06-18 11:44:09	ga_s2bm_ard_3-2-1_51KTQ_2019-06-18_final
2019-06-18 11:44:09	ga_s2bm_ard_3-2-1_50KRV_2019-06-18_final
2019-06-18 11:44:13	ga_s2bm_ard_3-2-1_50KQV_2019-06-18_final
2019-06-18 11:44:21	ga_s2bm_ard_3-2-1_51KUP_2019-06-18_final
2019-06-18 11:44:24	ga_s2bm_ard_3-2-1_50KRU_2019-06-18_final
2019-06-18 11:44:31	ga_s2bm_ard_3-2-1_50KPU_2019-06-18_final
2019-06-18 11:44:35	ga_s2bm_ard_3-2-1_51JUN_2019-06-18_final
2019-06-18 11:44:38	ga_s2bm_ard_3-2-1_50JRT_2019-06-18_final
2019-06-18 11:44:38	ga_s2bm_ard_3-2-1_51JTN_2019-06-18_final
2019-06-18 11:44:42	ga_s2bm_ard_3-2-1_50JQT_2019-06-18_final
2019-06-18 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2019-06-18_final
2019-06-18 11:44:48	ga_s2bm_ard_3-2-1_51JUM_2019-06-18_final
2019-06-18 11:44:52	ga_s2bm_ard_3-2-1_50JRS_2019-06-18_final
2019-06-18 11:44:56	ga_s2bm_ard_3-2-1_50JQS_2019-06-18_final
2019-06-18 11:45:00	ga_s2bm_ard_3-2-1_50JPS_2019-06-18_final
2019-06-18 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-06-18_final
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final
2019-06-18 11:47:01	ga_s2bm_ard_3-2-1_50HQH_2019-06-18_final
2019-06-18 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-18_final
2019-06-18 11:47:17	ga_s2bm_ard_3-2-1_50HMH_2019-06-18_final
2019-06-19 09:32:53	ga_s2bm_ard_3-2-1_56KNB_2019-06-19_final.stac-item
2019-06-19 09:32:54	ga_s2bm_ard_3-2-1_56KMB_2019-06-19_final.stac-item
2019-06-19 09:32:56	ga_s2bm_ard_3-2-1_56KLB_2019-06-19_final
2019-06-19 09:33:00	ga_s2bm_ard_3-2-1_56KNA_2019-06-19_final.stac-item
2019-06-19 09:33:03	ga_s2bm_ard_3-2-1_56KMA_2019-06-19_final
2019-06-19 09:33:35	ga_s2bm_ard_3-2-1_56KLU_2019-06-19_final
2019-06-19 09:33:43	ga_s2bm_ard_3-2-1_56JNT_2019-06-19_final
2019-06-19 09:33:47	ga_s2bm_ard_3-2-1_56JMT_2019-06-19_final
2019-06-19 09:33:50	ga_s2bm_ard_3-2-1_56JLT_2019-06-19_final
2019-06-19 09:33:58	ga_s2bm_ard_3-2-1_56JKT_2019-06-19_final
2019-06-19 09:34:05	ga_s2bm_ard_3-2-1_56JLS_2019-06-19_final
2019-06-19 09:34:08	ga_s2bm_ard_3-2-1_55JHM_2019-06-19_final
2019-06-19 09:36:04	ga_s2bm_ard_3-2-1_56HKJ_2019-06-19_final
2019-06-19 09:36:06	ga_s2bm_ard_3-2-1_55HGD_2019-06-19_final
2019-06-19 09:36:19	ga_s2bm_ard_3-2-1_56HKH_2019-06-19_final
2019-06-19 09:36:21	ga_s2bm_ard_3-2-1_55HGC_2019-06-19_final
2019-06-19 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-06-19_final
2019-06-19 09:37:04	ga_s2bm_ard_3-2-1_55HGV_2019-06-19_final
2019-06-19 09:37:08	ga_s2bm_ard_3-2-1_55HFV_2019-06-19_final
2019-06-19 09:37:11	ga_s2bm_ard_3-2-1_55HEV_2019-06-19_final
2019-06-19 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-06-19_final
2019-06-19 09:38:01	ga_s2bm_ard_3-2-1_55GER_2019-06-19_final
2019-06-19 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-06-19_final
2019-06-19 09:38:09	ga_s2bm_ard_3-2-1_55GER_2019-06-19_final
2019-06-19 09:38:13	ga_s2bm_ard_3-2-1_55GDR_2019-06-19_final
2019-06-19 09:38:20	ga_s2bm_ard_3-2-1_55GFQ_2019-06-19_final
2019-06-19 09:38:24	ga_s2bm_ard_3-2-1_55GEQ_2019-06-19_final
2019-06-19 09:38:28	ga_s2bm_ard_3-2-1_55GDQ_2019-06-19_final
2019-06-19 11:10:33	ga_s2bm_ard_3-2-1_52LHN_2019-06-19_final
2019-06-19 11:10:37	ga_s2bm_ard_3-2-1_52LGN_2019-06-19_final
2019-06-19 11:10:45	ga_s2bm_ard_3-2-1_52LHM_2019-06-19_final
2019-06-19 11:10:51	ga_s2bm_ard_3-2-1_52LGM_2019-06-19_final
2019-06-19 11:10:55	ga_s2bm_ard_3-2-1_52LFM_2019-06-19_final.stac-item
2019-06-19 11:11:05	ga_s2bm_ard_3-2-1_52LGL_2019-06-19_final
2019-06-19 11:11:09	ga_s2bm_ard_3-2-1_52LFL_2019-06-19_final
2019-06-19 11:11:34	ga_s2bm_ard_3-2-1_52LGJ_2019-06-19_final
2019-06-19 11:11:38	ga_s2bm_ard_3-2-1_52LFJ_2019-06-19_final
2019-06-19 11:11:48	ga_s2bm_ard_3-2-1_52LGH_2019-06-19_final
2019-06-19 11:11:58	ga_s2bm_ard_3-2-1_52KGG_2019-06-19_final
2019-06-19 11:12:07	ga_s2bm_ard_3-2-1_52KFG_2019-06-19_final
2019-06-19 11:12:11	ga_s2bm_ard_3-2-1_52KEG_2019-06-19_final
2019-06-19 11:12:18	ga_s2bm_ard_3-2-1_52KCG_2019-06-19_final
2019-06-19 11:12:21	ga_s2bm_ard_3-2-1_52KFF_2019-06-19_final
2019-06-19 11:12:25	ga_s2bm_ard_3-2-1_52KEF_2019-06-19_final
2019-06-19 11:12:28	ga_s2bm_ard_3-2-1_52KDF_2019-06-19_final
2019-06-19 11:12:31	ga_s2bm_ard_3-2-1_52KCF_2019-06-19_final
2019-06-19 11:12:50	ga_s2bm_ard_3-2-1_52KFD_2019-06-19_final
2019-06-19 11:12:54	ga_s2bm_ard_3-2-1_52KED_2019-06-19_final
2019-06-19 11:12:57	ga_s2bm_ard_3-2-1_52KDD_2019-06-19_final
2019-06-19 11:13:01	ga_s2bm_ard_3-2-1_52KCD_2019-06-19_final
2019-06-19 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-06-19_final
2019-06-19 11:13:21	ga_s2bm_ard_3-2-1_52KBC_2019-06-19_final
2019-06-19 11:13:23	ga_s2bm_ard_3-2-1_52KEB_2019-06-19_final
2019-06-19 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-06-19_final
2019-06-19 11:13:30	ga_s2bm_ard_3-2-1_52KCB_2019-06-19_final
2019-06-19 11:13:36	ga_s2bm_ard_3-2-1_51KZS_2019-06-19_final
2019-06-19 11:13:38	ga_s2bm_ard_3-2-1_52KEA_2019-06-19_final
2019-06-19 11:13:41	ga_s2bm_ard_3-2-1_52KDA_2019-06-19_final
2019-06-19 11:13:47	ga_s2bm_ard_3-2-1_52KBA_2019-06-19_final
2019-06-19 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-06-19_final
2019-06-19 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-06-19_final
2019-06-19 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-06-19_final
2019-06-19 11:14:13	ga_s2bm_ard_3-2-1_52KCU_2019-06-19_final
2019-06-19 11:14:15	ga_s2bm_ard_3-2-1_52JET_2019-06-19_final
2019-06-19 11:14:17	ga_s2bm_ard_3-2-1_51KZP_2019-06-19_final
2019-06-19 11:14:24	ga_s2bm_ard_3-2-1_52JDT_2019-06-19_final
2019-06-19 11:14:28	ga_s2bm_ard_3-2-1_52JCT_2019-06-19_final
2019-06-19 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-06-19_final
2019-06-19 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-06-19_final
2019-06-19 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-06-19_final
2019-06-19 11:14:39	ga_s2bm_ard_3-2-1_52JDS_2019-06-19_final
2019-06-19 11:14:45	ga_s2bm_ard_3-2-1_51JZM_2019-06-19_final
2019-06-19 11:14:49	ga_s2bm_ard_3-2-1_51JYM_2019-06-19_final
2019-06-19 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-06-19_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