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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
2020-11-19 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-11-19_final
2020-11-19 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2020-11-19_final
2020-11-19 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2020-11-19_final
2020-11-19 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2020-11-19_final
2020-11-19 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2020-11-19_final
2020-11-19 11:44:41	ga_s2bm_ard_3-2-1_51JUM_2020-11-19_final
2020-11-19 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2020-11-19_final
2020-11-19 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2020-11-19_final
2020-11-19 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2020-11-19_final
2020-11-19 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2020-11-19_final
2020-11-19 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2020-11-19_final
2020-11-19 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2020-11-19_final
2020-11-19 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2020-11-19_final
2020-11-19 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2020-11-19_final
2020-11-19 11:46:27	ga_s2bm_ard_3-2-1_50JML_2020-11-19_final
2020-11-19 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2020-11-19_final
2020-11-19 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2020-11-19_final
2020-11-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-11-19_final
2020-11-20 09:32:45	ga_s2bm_ard_3-2-1_56KNB_2020-11-20_final.stac-item
2020-11-20 09:32:47	ga_s2bm_ard_3-2-1_56KMB_2020-11-20_final.stac-item
2020-11-20 09:32:49	ga_s2bm_ard_3-2-1_56KLB_2020-11-20_final
2020-11-20 09:32:53	ga_s2bm_ard_3-2-1_56KNA_2020-11-20_final.stac-item
2020-11-20 09:33:28	ga_s2bm_ard_3-2-1_56KLU_2020-11-20_final
2020-11-20 09:33:36	ga_s2bm_ard_3-2-1_56JNT_2020-11-20_final
2020-11-20 09:33:40	ga_s2bm_ard_3-2-1_56JMT_2020-11-20_final
2020-11-20 09:33:43	ga_s2bm_ard_3-2-1_56JLT_2020-11-20_final
2020-11-20 09:33:50	ga_s2bm_ard_3-2-1_56JNS_2020-11-20_final
2020-11-20 09:33:54	ga_s2bm_ard_3-2-1_56JMS_2020-11-20_final
2020-11-20 09:33:57	ga_s2bm_ard_3-2-1_56JLS_2020-11-20_final
2020-11-20 09:34:01	ga_s2bm_ard_3-2-1_55JHM_2020-11-20_final
2020-11-20 09:34:01	ga_s2bm_ard_3-2-1_56JKS_2020-11-20_final
2020-11-20 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2020-11-20_final
2020-11-20 09:34:20	ga_s2bm_ard_3-2-1_56JNQ_2020-11-20_final.stac-item
2020-11-20 09:34:23	ga_s2bm_ard_3-2-1_56JMQ_2020-11-20_final
2020-11-20 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2020-11-20_final.stac-item
2020-11-20 09:34:38	ga_s2bm_ard_3-2-1_56JMP_2020-11-20_final
2020-11-20 09:34:59	ga_s2bm_ard_3-2-1_56JKN_2020-11-20_final
2020-11-20 09:35:02	ga_s2bm_ard_3-2-1_55JGH_2020-11-20_final
2020-11-20 09:35:21	ga_s2bm_ard_3-2-1_56JML_2020-11-20_final
2020-11-20 09:36:12	ga_s2bm_ard_3-2-1_56HKH_2020-11-20_final
2020-11-20 09:36:14	ga_s2bm_ard_3-2-1_55HGC_2020-11-20_final
2020-11-20 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2020-11-20_final
2020-11-20 09:37:01	ga_s2bm_ard_3-2-1_55HFV_2020-11-20_final
2020-11-20 09:37:04	ga_s2bm_ard_3-2-1_55HEV_2020-11-20_final
2020-11-20 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2020-11-20_final
2020-11-20 09:38:02	ga_s2bm_ard_3-2-1_55GER_2020-11-20_final
2020-11-20 09:38:06	ga_s2bm_ard_3-2-1_55GDR_2020-11-20_final
2020-11-20 09:38:27	ga_s2bm_ard_3-2-1_55GFP_2020-11-20_final
2020-11-20 09:38:31	ga_s2bm_ard_3-2-1_55GEP_2020-11-20_final
2020-11-20 09:38:35	ga_s2bm_ard_3-2-1_55GDP_2020-11-20_final
2020-11-20 09:38:41	ga_s2bm_ard_3-2-1_55GCP_2020-11-20_final
2020-11-20 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2020-11-20_final
2020-11-20 11:10:29	ga_s2bm_ard_3-2-1_52LGN_2020-11-20_final
2020-11-20 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2020-11-20_final
2020-11-20 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2020-11-20_final
2020-11-20 11:10:47	ga_s2bm_ard_3-2-1_52LFM_2020-11-20_final.stac-item
2020-11-20 11:10:48	ga_s2bm_ard_3-2-1_52LHL_2020-11-20_final
2020-11-20 11:10:58	ga_s2bm_ard_3-2-1_52LGL_2020-11-20_final
2020-11-20 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2020-11-20_final
2020-11-20 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2020-11-20_final.stac-item
2020-11-20 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2020-11-20_final.stac-item
2020-11-20 11:11:27	ga_s2bm_ard_3-2-1_52LGJ_2020-11-20_final
2020-11-20 11:11:31	ga_s2bm_ard_3-2-1_52LFJ_2020-11-20_final
2020-11-20 11:12:00	ga_s2bm_ard_3-2-1_52KFG_2020-11-20_final
2020-11-20 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2020-11-20_final
2020-11-20 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2020-11-20_final
2020-11-20 11:12:11	ga_s2bm_ard_3-2-1_52KCG_2020-11-20_final
2020-11-20 11:12:14	ga_s2bm_ard_3-2-1_52KFF_2020-11-20_final
2020-11-20 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2020-11-20_final
2020-11-20 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2020-11-20_final
2020-11-20 11:12:24	ga_s2bm_ard_3-2-1_52KCF_2020-11-20_final
2020-11-20 11:12:43	ga_s2bm_ard_3-2-1_52KFD_2020-11-20_final
2020-11-20 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2020-11-20_final
2020-11-20 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2020-11-20_final
2020-11-20 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2020-11-20_final
2020-11-20 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2020-11-20_final
2020-11-20 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2020-11-20_final
2020-11-20 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2020-11-20_final
2020-11-20 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2020-11-20_final
2020-11-20 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2020-11-20_final
2020-11-20 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2020-11-20_final
2020-11-20 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2020-11-20_final
2020-11-20 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2020-11-20_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2020-11-20_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2020-11-20_final
2020-11-20 11:14:06	ga_s2bm_ard_3-2-1_52KCU_2020-11-20_final
2020-11-20 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2020-11-20_final
2020-11-20 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2020-11-20_final
2020-11-20 11:14:21	ga_s2bm_ard_3-2-1_52JCT_2020-11-20_final
2020-11-20 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2020-11-20_final
2020-11-20 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2020-11-20_final
2020-11-20 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2020-11-20_final
2020-11-20 11:14:32	ga_s2bm_ard_3-2-1_52JDS_2020-11-20_final
2020-11-20 11:14:35	ga_s2bm_ard_3-2-1_52JCS_2020-11-20_final
2020-11-20 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2020-11-20_final
2020-11-20 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2020-11-20_final
2020-11-20 11:15:01	ga_s2bm_ard_3-2-1_52JDQ_2020-11-20_final
2020-11-20 11:15:13	ga_s2bm_ard_3-2-1_52JDP_2020-11-20_final
2020-11-20 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2020-11-20_final
2020-11-20 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2020-11-20_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