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
2019-05-15 10:23:16	ga_s2bm_ard_3-2-1_54KXA_2019-05-15_final
2019-05-15 10:23:20	ga_s2bm_ard_3-2-1_54KWA_2019-05-15_final
2019-05-15 10:23:23	ga_s2bm_ard_3-2-1_54KVA_2019-05-15_final
2019-05-15 10:23:26	ga_s2bm_ard_3-2-1_54KUA_2019-05-15_final
2019-05-15 10:23:45	ga_s2bm_ard_3-2-1_54KTV_2019-05-15_final
2019-05-15 10:23:48	ga_s2bm_ard_3-2-1_53KRQ_2019-05-15_final
2019-05-15 10:23:48	ga_s2bm_ard_3-2-1_54KWU_2019-05-15_final
2019-05-15 10:23:52	ga_s2bm_ard_3-2-1_54KVU_2019-05-15_final
2019-05-15 10:23:55	ga_s2bm_ard_3-2-1_54KUU_2019-05-15_final
2019-05-15 10:23:58	ga_s2bm_ard_3-2-1_54KTU_2019-05-15_final
2019-05-15 10:23:59	ga_s2bm_ard_3-2-1_53KRP_2019-05-15_final
2019-05-15 10:24:17	ga_s2bm_ard_3-2-1_54JWS_2019-05-15_final
2019-05-15 10:24:21	ga_s2bm_ard_3-2-1_54JVS_2019-05-15_final
2019-05-15 10:24:28	ga_s2bm_ard_3-2-1_54JTS_2019-05-15_final
2019-05-15 10:24:29	ga_s2bm_ard_3-2-1_54JWR_2019-05-15_final
2019-05-15 10:24:35	ga_s2bm_ard_3-2-1_54JVR_2019-05-15_final
2019-05-15 10:25:08	ga_s2bm_ard_3-2-1_54JUP_2019-05-15_final
2019-05-15 10:25:33	ga_s2bm_ard_3-2-1_54JVM_2019-05-15_final
2019-05-15 10:26:24	ga_s2bm_ard_3-2-1_54HTJ_2019-05-15_final
2019-05-15 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-05-15_final
2019-05-15 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-05-15_final
2019-05-15 10:26:53	ga_s2bm_ard_3-2-1_54HTG_2019-05-15_final
2019-05-15 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-05-15_final
2019-05-15 10:26:59	ga_s2bm_ard_3-2-1_54HUF_2019-05-15_final
2019-05-15 10:27:08	ga_s2bm_ard_3-2-1_54HTF_2019-05-15_final
2019-05-15 10:27:10	ga_s2bm_ard_3-2-1_53HQA_2019-05-15_final
2019-05-15 10:27:13	ga_s2bm_ard_3-2-1_53HPA_2019-05-15_final
2019-05-15 12:03:28	ga_s2bm_ard_3-2-1_50KNC_2019-05-15_final
2019-05-15 12:03:32	ga_s2bm_ard_3-2-1_50KMC_2019-05-15_final
2019-05-15 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-05-15_final
2019-05-15 12:03:42	ga_s2bm_ard_3-2-1_50KNB_2019-05-15_final
2019-05-15 12:03:46	ga_s2bm_ard_3-2-1_50KMB_2019-05-15_final
2019-05-15 12:03:49	ga_s2bm_ard_3-2-1_50KLB_2019-05-15_final
2019-05-15 12:03:52	ga_s2bm_ard_3-2-1_50KNA_2019-05-15_final
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-05-15_final
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-15 12:04:00	ga_s2bm_ard_3-2-1_50KMA_2019-05-15_final
2019-05-15 12:04:04	ga_s2bm_ard_3-2-1_50KLA_2019-05-15_final
2019-05-15 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-05-15_final
2019-05-15 12:04:15	ga_s2bm_ard_3-2-1_50KMV_2019-05-15_final
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2019-05-15_final
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-15_final
2019-05-15 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-05-15_final
2019-05-15 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-05-15_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-15_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-15_final
2019-05-15 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-05-15_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-05-15 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2019-05-15_final
2019-05-15 12:05:06	ga_s2bm_ard_3-2-1_50JKS_2019-05-15_final
2019-05-15 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-05-15_final
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-05-15 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-15_final
2019-05-16 09:51:21	ga_s2bm_ard_3-2-1_55LHC_2019-05-16_final.stac-item
2019-05-16 09:51:24	ga_s2bm_ard_3-2-1_55LGC_2019-05-16_final
2019-05-16 09:51:42	ga_s2bm_ard_3-2-1_55KFB_2019-05-16_final
2019-05-16 09:51:56	ga_s2bm_ard_3-2-1_55KFA_2019-05-16_final
2019-05-16 09:52:28	ga_s2bm_ard_3-2-1_55KEU_2019-05-16_final
2019-05-16 09:52:36	ga_s2bm_ard_3-2-1_55KGT_2019-05-16_final
2019-05-16 09:52:40	ga_s2bm_ard_3-2-1_55KFT_2019-05-16_final
2019-05-16 09:52:43	ga_s2bm_ard_3-2-1_55KET_2019-05-16_final
2019-05-16 09:52:43	ga_s2bm_ard_3-2-1_55KHS_2019-05-16_final
2019-05-16 09:52:51	ga_s2bm_ard_3-2-1_55KGS_2019-05-16_final
2019-05-16 09:52:54	ga_s2bm_ard_3-2-1_55KFS_2019-05-16_final
2019-05-16 09:52:58	ga_s2bm_ard_3-2-1_55KES_2019-05-16_final
2019-05-16 09:53:01	ga_s2bm_ard_3-2-1_55KGR_2019-05-16_final
2019-05-16 09:53:02	ga_s2bm_ard_3-2-1_55KDS_2019-05-16_final
2019-05-16 09:53:03	ga_s2bm_ard_3-2-1_55KFR_2019-05-16_final
2019-05-16 09:53:03	ga_s2bm_ard_3-2-1_55KFS_2019-05-16_final
2019-05-16 09:53:04	ga_s2bm_ard_3-2-1_55KES_2019-05-16_final
2019-05-16 09:53:05	ga_s2bm_ard_3-2-1_55KER_2019-05-16_final
2019-05-16 09:53:06	ga_s2bm_ard_3-2-1_55KDS_2019-05-16_final
2019-05-16 09:53:08	ga_s2bm_ard_3-2-1_55KGR_2019-05-16_final
2019-05-16 09:53:10	ga_s2bm_ard_3-2-1_55KFR_2019-05-16_final
2019-05-16 09:53:12	ga_s2bm_ard_3-2-1_55KER_2019-05-16_final
2019-05-16 09:53:16	ga_s2bm_ard_3-2-1_55KDR_2019-05-16_final
2019-05-16 09:53:20	ga_s2bm_ard_3-2-1_55KGQ_2019-05-16_final
2019-05-16 09:53:34	ga_s2bm_ard_3-2-1_55KGP_2019-05-16_final
2019-05-16 09:53:38	ga_s2bm_ard_3-2-1_55KFP_2019-05-16_final
2019-05-16 09:53:41	ga_s2bm_ard_3-2-1_55KEP_2019-05-16_final
2019-05-16 09:53:45	ga_s2bm_ard_3-2-1_55KDP_2019-05-16_final
2019-05-16 09:53:46	ga_s2bm_ard_3-2-1_55JGN_2019-05-16_final
2019-05-16 09:54:11	ga_s2bm_ard_3-2-1_55JEM_2019-05-16_final
2019-05-16 09:54:14	ga_s2bm_ard_3-2-1_55JDM_2019-05-16_final
2019-05-16 09:54:25	ga_s2bm_ard_3-2-1_55JEL_2019-05-16_final
2019-05-16 09:54:28	ga_s2bm_ard_3-2-1_55JDL_2019-05-16_final
2019-05-16 09:54:49	ga_s2bm_ard_3-2-1_55JFJ_2019-05-16_final
2019-05-16 09:55:01	ga_s2bm_ard_3-2-1_55JCJ_2019-05-16_final
2019-05-16 09:55:23	ga_s2bm_ard_3-2-1_55JEG_2019-05-16_final
2019-05-16 09:55:26	ga_s2bm_ard_3-2-1_55JDG_2019-05-16_final
2019-05-16 09:56:17	ga_s2bm_ard_3-2-1_55HBD_2019-05-16_final
2019-05-16 09:56:24	ga_s2bm_ard_3-2-1_55HDC_2019-05-16_final
2019-05-16 09:56:46	ga_s2bm_ard_3-2-1_55HBB_2019-05-16_final
2019-05-16 09:56:48	ga_s2bm_ard_3-2-1_54HYG_2019-05-16_final
2019-05-16 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-05-16_final
2019-05-16 09:57:01	ga_s2bm_ard_3-2-1_55HBA_2019-05-16_final
2019-05-16 09:57:02	ga_s2bm_ard_3-2-1_54HYF_2019-05-16_final
2019-05-16 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-05-16_final
2019-05-16 09:57:56	ga_s2bm_ard_3-2-1_55HCS_2019-05-16_final
2019-05-16 09:57:59	ga_s2bm_ard_3-2-1_55HBS_2019-05-16_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