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
2019-03-16 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2019-03-16_final
2019-03-16 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2019-03-16_final
2019-03-16 10:24:39	ga_s2bm_ard_3-2-1_54JVQ_2019-03-16_final
2019-03-16 10:24:54	ga_s2bm_ard_3-2-1_54JVP_2019-03-16_final
2019-03-16 10:24:57	ga_s2bm_ard_3-2-1_54JUP_2019-03-16_final
2019-03-16 10:25:01	ga_s2bm_ard_3-2-1_54JTP_2019-03-16_final
2019-03-16 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2019-03-16_final
2019-03-16 10:25:09	ga_s2bm_ard_3-2-1_54JVN_2019-03-16_final
2019-03-16 10:25:18	ga_s2bm_ard_3-2-1_53JQH_2019-03-16_final
2019-03-16 10:25:30	ga_s2bm_ard_3-2-1_54JTM_2019-03-16_final
2019-03-16 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2019-03-16_final
2019-03-16 10:25:41	ga_s2bm_ard_3-2-1_54JUL_2019-03-16_final
2019-03-16 10:25:50	ga_s2bm_ard_3-2-1_53JPF_2019-03-16_final
2019-03-16 10:25:59	ga_s2bm_ard_3-2-1_54HTK_2019-03-16_final
2019-03-16 10:26:01	ga_s2bm_ard_3-2-1_53HQE_2019-03-16_final
2019-03-16 10:26:14	ga_s2bm_ard_3-2-1_54HTJ_2019-03-16_final
2019-03-16 10:26:16	ga_s2bm_ard_3-2-1_53HQD_2019-03-16_final
2019-03-16 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2019-03-16_final
2019-03-16 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2019-03-16_final
2019-03-16 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2019-03-16_final
2019-03-16 10:26:43	ga_s2bm_ard_3-2-1_54HTG_2019-03-16_final
2019-03-16 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2019-03-16_final
2019-03-16 10:26:49	ga_s2bm_ard_3-2-1_54HUF_2019-03-16_final
2019-03-16 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2019-03-16_final
2019-03-16 10:26:57	ga_s2bm_ard_3-2-1_54HTF_2019-03-16_final
2019-03-16 10:26:59	ga_s2bm_ard_3-2-1_53HQA_2019-03-16_final
2019-03-16 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2019-03-16_final
2019-03-16 10:27:10	ga_s2bm_ard_3-2-1_54HTE_2019-03-16_final.stac-item
2019-03-16 10:27:11	ga_s2bm_ard_3-2-1_53HQV_2019-03-16_final.stac-item
2019-03-16 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2019-03-16_final
2019-03-16 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-03-16_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2019-03-16_final
2019-03-16 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2019-03-16_final
2019-03-16 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2019-03-16_final
2019-03-16 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-03-16_final
2019-03-16 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2019-03-16_final
2019-03-16 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2019-03-16_final
2019-03-16 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2019-03-16_final
2019-03-16 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-03-16_final
2019-03-16 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2019-03-16_final
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-03-16 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2019-03-16_final
2019-03-16 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2019-03-16_final
2019-03-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-03-16_final
2019-03-16 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-03-16_final.stac-item
2019-03-16 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2019-03-16_final
2019-03-16 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2019-03-16_final
2019-03-17 09:52:33	ga_s2bm_ard_3-2-1_55KET_2019-03-17_final
2019-03-17 09:52:40	ga_s2bm_ard_3-2-1_55KGS_2019-03-17_final
2019-03-17 09:52:55	ga_s2bm_ard_3-2-1_55KGR_2019-03-17_final
2019-03-17 09:52:59	ga_s2bm_ard_3-2-1_55KFR_2019-03-17_final
2019-03-17 09:53:05	ga_s2bm_ard_3-2-1_55KGQ_2019-03-17_final
2019-03-17 09:53:06	ga_s2bm_ard_3-2-1_55KFR_2019-03-17_final
2019-03-17 09:53:07	ga_s2bm_ard_3-2-1_55KFQ_2019-03-17_final
2019-03-17 09:53:08	ga_s2bm_ard_3-2-1_55KEQ_2019-03-17_final
2019-03-17 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2019-03-17_final
2019-03-17 09:53:14	ga_s2bm_ard_3-2-1_55KFQ_2019-03-17_final
2019-03-17 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2019-03-17_final
2019-03-17 09:53:31	ga_s2bm_ard_3-2-1_55KEP_2019-03-17_final
2019-03-17 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2019-03-17_final
2019-03-17 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2019-03-17_final
2019-03-17 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2019-03-17_final
2019-03-17 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2019-03-17_final
2019-03-17 09:54:38	ga_s2bm_ard_3-2-1_55JFJ_2019-03-17_final
2019-03-17 09:54:47	ga_s2bm_ard_3-2-1_55JDJ_2019-03-17_final
2019-03-17 09:54:50	ga_s2bm_ard_3-2-1_55JCJ_2019-03-17_final
2019-03-17 09:54:58	ga_s2bm_ard_3-2-1_55JEH_2019-03-17_final
2019-03-17 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2019-03-17_final
2019-03-17 09:55:22	ga_s2bm_ard_3-2-1_55JBG_2019-03-17_final
2019-03-17 09:55:27	ga_s2bm_ard_3-2-1_55JEF_2019-03-17_final
2019-03-17 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2019-03-17_final
2019-03-17 09:55:34	ga_s2bm_ard_3-2-1_55JCF_2019-03-17_final
2019-03-17 09:55:41	ga_s2bm_ard_3-2-1_55HEE_2019-03-17_final
2019-03-17 09:55:45	ga_s2bm_ard_3-2-1_55HDE_2019-03-17_final
2019-03-17 09:55:55	ga_s2bm_ard_3-2-1_54HYK_2019-03-17_final
2019-03-17 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2019-03-17_final
2019-03-17 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2019-03-17_final
2019-03-17 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2019-03-17_final
2019-03-17 09:56:23	ga_s2bm_ard_3-2-1_54HYH_2019-03-17_final
2019-03-17 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2019-03-17_final
2019-03-17 09:56:35	ga_s2bm_ard_3-2-1_55HBB_2019-03-17_final
2019-03-17 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2019-03-17_final
2019-03-17 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2019-03-17_final
2019-03-17 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2019-03-17_final
2019-03-17 09:56:47	ga_s2bm_ard_3-2-1_55HCA_2019-03-17_final
2019-03-17 09:56:50	ga_s2bm_ard_3-2-1_55HBA_2019-03-17_final
2019-03-17 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2019-03-17_final
2019-03-17 09:56:55	ga_s2bm_ard_3-2-1_54HXF_2019-03-17_final
2019-03-17 09:56:56	ga_s2bm_ard_3-2-1_55HDV_2019-03-17_final
2019-03-17 09:57:01	ga_s2bm_ard_3-2-1_55HCV_2019-03-17_final
2019-03-17 09:57:05	ga_s2bm_ard_3-2-1_55HBV_2019-03-17_final
2019-03-17 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2019-03-17_final
2019-03-17 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2019-03-17_final
2019-03-17 09:58:03	ga_s2bm_ard_3-2-1_55GBR_2019-03-17_final
2019-03-17 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2019-03-17_final
2019-03-17 09:58:12	ga_s2bm_ard_3-2-1_55GCQ_2019-03-17_final
2019-03-17 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2019-03-17_final.stac-item
2019-03-17 09:58:18	ga_s2bm_ard_3-2-1_54GYV_2019-03-17_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