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
2020-08-31 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-08-31_final
2020-08-31 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-08-31_final.stac-item
2020-08-31 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-08-31_final
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMH_2020-08-31_final
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-08-31 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2020-08-31_final.stac-item
2020-08-31 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-09-01 09:32:48	ga_s2bm_ard_3-2-1_56KNB_2020-09-01_final.stac-item
2020-09-01 09:32:50	ga_s2bm_ard_3-2-1_56KMB_2020-09-01_final.stac-item
2020-09-01 09:32:52	ga_s2bm_ard_3-2-1_56KLB_2020-09-01_final
2020-09-01 09:32:55	ga_s2bm_ard_3-2-1_56KNA_2020-09-01_final.stac-item
2020-09-01 09:32:59	ga_s2bm_ard_3-2-1_56KMA_2020-09-01_final
2020-09-01 09:33:02	ga_s2bm_ard_3-2-1_56KLA_2020-09-01_final
2020-09-01 09:33:16	ga_s2bm_ard_3-2-1_56KLV_2020-09-01_final
2020-09-01 09:33:28	ga_s2bm_ard_3-2-1_56KMU_2020-09-01_final
2020-09-01 09:33:31	ga_s2bm_ard_3-2-1_56KLU_2020-09-01_final
2020-09-01 09:33:39	ga_s2bm_ard_3-2-1_56JNT_2020-09-01_final
2020-09-01 09:33:42	ga_s2bm_ard_3-2-1_56JMT_2020-09-01_final
2020-09-01 09:33:46	ga_s2bm_ard_3-2-1_56JLT_2020-09-01_final
2020-09-01 09:33:53	ga_s2bm_ard_3-2-1_56JKT_2020-09-01_final
2020-09-01 09:33:53	ga_s2bm_ard_3-2-1_56JNS_2020-09-01_final
2020-09-01 09:33:57	ga_s2bm_ard_3-2-1_56JMS_2020-09-01_final
2020-09-01 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2020-09-01_final
2020-09-01 09:34:04	ga_s2bm_ard_3-2-1_55JHM_2020-09-01_final
2020-09-01 09:34:04	ga_s2bm_ard_3-2-1_56JKS_2020-09-01_final
2020-09-01 09:35:56	ga_s2bm_ard_3-2-1_56HLJ_2020-09-01_final
2020-09-01 09:36:00	ga_s2bm_ard_3-2-1_56HKJ_2020-09-01_final
2020-09-01 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2020-09-01_final
2020-09-01 09:36:29	ga_s2bm_ard_3-2-1_56HKG_2020-09-01_final
2020-09-01 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-09-01_final
2020-09-01 09:36:59	ga_s2bm_ard_3-2-1_55HGV_2020-09-01_final
2020-09-01 09:37:03	ga_s2bm_ard_3-2-1_55HFV_2020-09-01_final
2020-09-01 09:37:07	ga_s2bm_ard_3-2-1_55HEV_2020-09-01_final
2020-09-01 09:37:32	ga_s2bm_ard_3-2-1_55HFT_2020-09-01_final.stac-item
2020-09-01 09:37:36	ga_s2bm_ard_3-2-1_55HET_2020-09-01_final
2020-09-01 09:37:43	ga_s2bm_ard_3-2-1_55HDT_2020-09-01_final
2020-09-01 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2020-09-01_final.stac-item
2020-09-01 09:37:50	ga_s2bm_ard_3-2-1_55HES_2020-09-01_final
2020-09-01 09:37:54	ga_s2bm_ard_3-2-1_55HDS_2020-09-01_final
2020-09-01 09:38:01	ga_s2bm_ard_3-2-1_55GFR_2020-09-01_final
2020-09-01 09:38:05	ga_s2bm_ard_3-2-1_55GER_2020-09-01_final
2020-09-01 09:38:08	ga_s2bm_ard_3-2-1_55GDR_2020-09-01_final
2020-09-01 09:38:15	ga_s2bm_ard_3-2-1_55GFQ_2020-09-01_final
2020-09-01 09:38:19	ga_s2bm_ard_3-2-1_55GEQ_2020-09-01_final
2020-09-01 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2020-09-01_final
2020-09-01 09:38:30	ga_s2bm_ard_3-2-1_55GFP_2020-09-01_final
2020-09-01 09:38:34	ga_s2bm_ard_3-2-1_55GEP_2020-09-01_final
2020-09-01 09:38:38	ga_s2bm_ard_3-2-1_55GDP_2020-09-01_final
2020-09-01 09:38:43	ga_s2bm_ard_3-2-1_55GCP_2020-09-01_final
2020-09-01 11:10:07	ga_s2bm_ard_3-2-1_53LKJ_2020-09-01_final.stac-item
2020-09-01 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2020-09-01_final
2020-09-01 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2020-09-01_final
2020-09-01 11:10:35	ga_s2bm_ard_3-2-1_52LFN_2020-09-01_final.stac-item
2020-09-01 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2020-09-01_final
2020-09-01 11:10:46	ga_s2bm_ard_3-2-1_52LGM_2020-09-01_final
2020-09-01 11:10:50	ga_s2bm_ard_3-2-1_52LFM_2020-09-01_final.stac-item
2020-09-01 11:10:50	ga_s2bm_ard_3-2-1_52LHL_2020-09-01_final
2020-09-01 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2020-09-01_final
2020-09-01 11:11:05	ga_s2bm_ard_3-2-1_52LFL_2020-09-01_final
2020-09-01 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2020-09-01_final.stac-item
2020-09-01 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2020-09-01_final
2020-09-01 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2020-09-01_final.stac-item
2020-09-01 11:11:30	ga_s2bm_ard_3-2-1_52LGJ_2020-09-01_final
2020-09-01 11:11:34	ga_s2bm_ard_3-2-1_52LFJ_2020-09-01_final
2020-09-01 11:11:53	ga_s2bm_ard_3-2-1_52KGG_2020-09-01_final
2020-09-01 11:12:17	ga_s2bm_ard_3-2-1_52KFF_2020-09-01_final
2020-09-01 11:12:27	ga_s2bm_ard_3-2-1_52KCF_2020-09-01_final
2020-09-01 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2020-09-01_final
2020-09-01 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2020-09-01_final
2020-09-01 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2020-09-01_final
2020-09-01 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2020-09-01_final
2020-09-01 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-09-01_final
2020-09-01 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2020-09-01_final
2020-09-01 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2020-09-01_final
2020-09-01 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2020-09-01_final
2020-09-01 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-09-01_final
2020-09-01 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2020-09-01_final
2020-09-01 11:13:42	ga_s2bm_ard_3-2-1_52KBA_2020-09-01_final
2020-09-01 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2020-09-01_final
2020-09-01 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2020-09-01_final
2020-09-01 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2020-09-01_final
2020-09-01 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-09-01_final
2020-09-01 11:14:01	ga_s2bm_ard_3-2-1_52KEU_2020-09-01_final
2020-09-01 11:14:05	ga_s2bm_ard_3-2-1_52KDU_2020-09-01_final
2020-09-01 11:14:09	ga_s2bm_ard_3-2-1_52KCU_2020-09-01_final
2020-09-01 11:14:11	ga_s2bm_ard_3-2-1_52JET_2020-09-01_final
2020-09-01 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2020-09-01_final
2020-09-01 11:14:20	ga_s2bm_ard_3-2-1_52JDT_2020-09-01_final
2020-09-01 11:14:24	ga_s2bm_ard_3-2-1_52JCT_2020-09-01_final
2020-09-01 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2020-09-01_final
2020-09-01 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2020-09-01_final
2020-09-01 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2020-09-01_final
2020-09-01 11:14:34	ga_s2bm_ard_3-2-1_52JDS_2020-09-01_final
2020-09-01 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2020-09-01_final
2020-09-01 11:14:41	ga_s2bm_ard_3-2-1_51JZM_2020-09-01_final
2020-09-01 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2020-09-01_final
2020-09-01 11:14:44	ga_s2bm_ard_3-2-1_51JYM_2020-09-01_final
2020-09-01 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-09-01_final
2020-09-01 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2020-09-01_final.stac-item
2020-09-01 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2020-09-01_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