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
2019-09-23 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2019-09-23_final
2019-09-23 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2019-09-23_final
2019-09-23 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2019-09-23_final
2019-09-23 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2019-09-23_final
2019-09-23 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-09-23_final
2019-09-23 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-09-23_final
2019-09-23 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2019-09-23_final
2019-09-23 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-09-23_final
2019-09-23 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-09-23_final
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final
2019-09-23 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2019-09-23_final
2019-09-23 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-09-23_final
2019-09-23 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-09-23_final
2019-09-23 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-09-23_final
2019-09-23 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-09-23_final
2019-09-23 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-09-23_final
2019-09-23 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-09-23_final
2019-09-23 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2019-09-23_final
2019-09-23 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2019-09-23_final
2019-09-23 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2019-09-23_final
2019-09-23 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2019-09-23_final
2019-09-23 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2019-09-23_final
2019-09-23 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2019-09-23_final
2019-09-23 11:34:49	ga_s2bm_ard_3-2-1_51JTM_2019-09-23_final
2019-09-23 11:34:59	ga_s2bm_ard_3-2-1_51JTL_2019-09-23_final
2019-09-23 11:35:06	ga_s2bm_ard_3-2-1_51JTL_2019-09-23_final
2019-09-23 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2019-09-23_final
2019-09-23 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-09-23_final
2019-09-23 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2019-09-23_final
2019-09-23 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2019-09-23_final
2019-09-23 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2019-09-23_final
2019-09-23 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2019-09-23_final
2019-09-23 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2019-09-23_final
2019-09-23 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2019-09-23_final
2019-09-23 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-09-23_final
2019-09-23 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2019-09-23_final
2019-09-23 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-09-23_final
2019-09-23 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-09-23_final
2019-09-23 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-09-23_final
2019-09-23 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-09-23_final
2019-09-23 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-09-23_final
2019-09-23 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-09-23_final
2019-09-24 09:23:39	ga_s2bm_ard_3-2-1_56JNT_2019-09-23_final
2019-09-24 09:24:49	ga_s2bm_ard_3-2-1_56JNN_2019-09-23_final
2019-09-24 09:24:50	ga_s2bm_ard_3-2-1_56JMN_2019-09-23_final
2019-09-24 09:24:56	ga_s2bm_ard_3-2-1_56JNN_2019-09-23_final
2019-09-24 09:24:57	ga_s2bm_ard_3-2-1_56JMN_2019-09-23_final
2019-09-24 09:25:42	ga_s2bm_ard_3-2-1_56HLK_2019-09-23_final
2019-09-24 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2019-09-23_final
2019-09-24 09:25:57	ga_s2bm_ard_3-2-1_56HLJ_2019-09-23_final
2019-09-24 09:26:12	ga_s2bm_ard_3-2-1_56HLH_2019-09-23_final.stac-item
2019-09-24 09:27:49	ga_s2bm_ard_3-2-1_55HFS_2019-09-23_final.stac-item
2019-09-24 11:00:08	ga_s2bm_ard_3-2-1_53LKJ_2019-09-24_final.stac-item
2019-09-24 11:00:15	ga_s2bm_ard_3-2-1_53LKJ_2019-09-24_final.stac-item
2019-09-24 11:00:28	ga_s2bm_ard_3-2-1_53LKH_2019-09-24_final
2019-09-24 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2019-09-24_final
2019-09-24 11:00:36	ga_s2bm_ard_3-2-1_53LMG_2019-09-24_final
2019-09-24 11:00:37	ga_s2bm_ard_3-2-1_52LGN_2019-09-24_final
2019-09-24 11:01:23	ga_s2bm_ard_3-2-1_53LLD_2019-09-24_final
2019-09-24 11:01:26	ga_s2bm_ard_3-2-1_53LKD_2019-09-24_final
2019-09-24 11:01:28	ga_s2bm_ard_3-2-1_52LHJ_2019-09-24_final
2019-09-24 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2019-09-24_final
2019-09-24 11:01:39	ga_s2bm_ard_3-2-1_52LFJ_2019-09-24_final
2019-09-24 11:01:51	ga_s2bm_ard_3-2-1_53KLB_2019-09-24_final
2019-09-24 11:01:57	ga_s2bm_ard_3-2-1_52KHG_2019-09-24_final
2019-09-24 11:02:03	ga_s2bm_ard_3-2-1_53KLA_2019-09-24_final
2019-09-24 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2019-09-24_final
2019-09-24 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2019-09-24_final
2019-09-24 11:02:18	ga_s2bm_ard_3-2-1_52KFF_2019-09-24_final
2019-09-24 11:02:33	ga_s2bm_ard_3-2-1_52KFE_2019-09-24_final
2019-09-24 11:02:39	ga_s2bm_ard_3-2-1_53KKU_2019-09-24_final
2019-09-24 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2019-09-24_final
2019-09-24 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2019-09-24_final
2019-09-24 11:02:54	ga_s2bm_ard_3-2-1_53KKT_2019-09-24_final
2019-09-24 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2019-09-24_final
2019-09-24 11:02:58	ga_s2bm_ard_3-2-1_52KGC_2019-09-24_final
2019-09-24 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2019-09-24_final
2019-09-24 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2019-09-24_final
2019-09-24 11:03:19	ga_s2bm_ard_3-2-1_53KKR_2019-09-24_final
2019-09-24 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2019-09-24_final
2019-09-24 11:03:22	ga_s2bm_ard_3-2-1_52KHA_2019-09-24_final
2019-09-24 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2019-09-24_final
2019-09-24 11:03:33	ga_s2bm_ard_3-2-1_52KHV_2019-09-24_final
2019-09-24 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2019-09-24_final
2019-09-24 11:03:41	ga_s2bm_ard_3-2-1_52KGV_2019-09-24_final
2019-09-24 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2019-09-24_final
2019-09-24 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2019-09-24_final
2019-09-24 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2019-09-24_final
2019-09-24 11:04:18	ga_s2bm_ard_3-2-1_52JET_2019-09-24_final
2019-09-24 11:04:35	ga_s2bm_ard_3-2-1_52JGR_2019-09-24_final
2019-09-24 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2019-09-24_final
2019-09-24 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2019-09-24_final
2019-09-24 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2019-09-24_final
2019-09-24 11:05:34	ga_s2bm_ard_3-2-1_52JDN_2019-09-24_final
2019-09-24 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2019-09-24_final
2019-09-24 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2019-09-24_final
2019-09-24 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2019-09-24_final
2019-09-24 11:05:55	ga_s2bm_ard_3-2-1_52JCM_2019-09-24_final
2019-09-24 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2019-09-24_final
2019-09-24 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2019-09-24_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