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
2021-10-01 10:25:35	ga_s2bm_ard_3-2-1_54JVL_2021-10-01_final
2021-10-01 10:25:57	ga_s2bm_ard_3-2-1_54HUK_2021-10-01_final
2021-10-01 10:26:06	ga_s2bm_ard_3-2-1_53HPE_2021-10-01_final
2021-10-01 10:26:15	ga_s2bm_ard_3-2-1_54HTJ_2021-10-01_final
2021-10-01 10:26:17	ga_s2bm_ard_3-2-1_53HQD_2021-10-01_final
2021-10-01 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2021-10-01_final
2021-10-01 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2021-10-01_final
2021-10-01 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2021-10-01_final
2021-10-01 10:26:44	ga_s2bm_ard_3-2-1_54HTG_2021-10-01_final
2021-10-01 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2021-10-01_final
2021-10-01 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2021-10-01_final
2021-10-01 10:27:11	ga_s2bm_ard_3-2-1_54HTE_2021-10-01_final.stac-item
2021-10-01 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2021-10-01_final
2021-10-01 12:03:43	ga_s2bm_ard_3-2-1_50KNA_2021-10-01_final
2021-10-01 12:03:51	ga_s2bm_ard_3-2-1_50KMA_2021-10-01_final
2021-10-01 12:03:55	ga_s2bm_ard_3-2-1_50KLA_2021-10-01_final
2021-10-01 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-10-01_final
2021-10-01 12:04:06	ga_s2bm_ard_3-2-1_50KMV_2021-10-01_final
2021-10-01 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2021-10-01_final
2021-10-01 12:04:13	ga_s2bm_ard_3-2-1_50KKV_2021-10-01_final
2021-10-01 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-10-01_final
2021-10-01 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final
2021-10-01 12:04:18	ga_s2bm_ard_3-2-1_50KMU_2021-10-01_final
2021-10-01 12:04:19	ga_s2bm_ard_3-2-1_50KLU_2021-10-01_final
2021-10-01 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2021-10-01_final
2021-10-01 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-10-01_final
2021-10-01 12:04:21	ga_s2bm_ard_3-2-1_50KKU_2021-10-01_final
2021-10-01 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final
2021-10-01 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final
2021-10-01 12:04:24	ga_s2bm_ard_3-2-1_50KMU_2021-10-01_final
2021-10-01 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2021-10-01_final
2021-10-01 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2021-10-01_final
2021-10-01 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-10-01_final
2021-10-01 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-10-01_final
2021-10-01 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-01_final
2021-10-01 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2021-10-01_final
2021-10-01 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2021-10-01_final
2021-10-01 12:04:46	ga_s2bm_ard_3-2-1_50JLS_2021-10-01_final
2021-10-01 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-10-01_final
2021-10-01 12:04:47	ga_s2bm_ard_3-2-1_49JHM_2021-10-01_final
2021-10-01 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2021-10-01_final
2021-10-01 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-10-01_final
2021-10-01 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-10-01_final
2021-10-01 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-10-01_final
2021-10-01 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-10-01_final
2021-10-01 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-10-01_final
2021-10-01 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-10-01_final
2021-10-01 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-10-01_final
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final
2021-10-01 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2021-10-01_final.stac-item
2021-10-01 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-10-01_final
2021-10-02 09:51:12	ga_s2bm_ard_3-2-1_55LHC_2021-10-02_final.stac-item
2021-10-02 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2021-10-02_final
2021-10-02 09:51:18	ga_s2bm_ard_3-2-1_55LFC_2021-10-02_final
2021-10-02 09:51:39	ga_s2bm_ard_3-2-1_56KKF_2021-10-02_final
2021-10-02 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2021-10-02_final
2021-10-02 09:52:31	ga_s2bm_ard_3-2-1_55KFT_2021-10-02_final
2021-10-02 09:52:34	ga_s2bm_ard_3-2-1_55KET_2021-10-02_final
2021-10-02 09:53:00	ga_s2bm_ard_3-2-1_55KFR_2021-10-02_final
2021-10-02 09:53:03	ga_s2bm_ard_3-2-1_55KER_2021-10-02_final
2021-10-02 09:53:07	ga_s2bm_ard_3-2-1_55KDR_2021-10-02_final
2021-10-02 09:53:11	ga_s2bm_ard_3-2-1_55KGQ_2021-10-02_final
2021-10-02 09:53:14	ga_s2bm_ard_3-2-1_55KFQ_2021-10-02_final
2021-10-02 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-10-02_final
2021-10-02 09:53:21	ga_s2bm_ard_3-2-1_55KDQ_2021-10-02_final
2021-10-02 09:53:29	ga_s2bm_ard_3-2-1_55KFP_2021-10-02_final
2021-10-02 09:53:32	ga_s2bm_ard_3-2-1_55KEP_2021-10-02_final
2021-10-02 09:53:36	ga_s2bm_ard_3-2-1_55KDP_2021-10-02_final
2021-10-02 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2021-10-02_final
2021-10-02 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2021-10-02_final
2021-10-02 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2021-10-02_final
2021-10-02 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2021-10-02_final
2021-10-02 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2021-10-02_final
2021-10-02 09:53:58	ga_s2bm_ard_3-2-1_55JFM_2021-10-02_final
2021-10-02 09:54:02	ga_s2bm_ard_3-2-1_55JEM_2021-10-02_final
2021-10-02 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2021-10-02_final
2021-10-02 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-10-02_final
2021-10-02 09:54:12	ga_s2bm_ard_3-2-1_55JFL_2021-10-02_final
2021-10-02 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2021-10-02_final
2021-10-02 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2021-10-02_final
2021-10-02 09:54:45	ga_s2bm_ard_3-2-1_55JEJ_2021-10-02_final
2021-10-02 09:54:48	ga_s2bm_ard_3-2-1_55JDJ_2021-10-02_final
2021-10-02 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2021-10-02_final
2021-10-02 09:55:50	ga_s2bm_ard_3-2-1_55HCE_2021-10-02_final
2021-10-02 09:56:08	ga_s2bm_ard_3-2-1_55HBD_2021-10-02_final
2021-10-02 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2021-10-02_final
2021-10-02 09:56:15	ga_s2bm_ard_3-2-1_55HDC_2021-10-02_final
2021-10-02 09:56:22	ga_s2bm_ard_3-2-1_55HBC_2021-10-02_final
2021-10-02 09:56:24	ga_s2bm_ard_3-2-1_54HYH_2021-10-02_final
2021-10-02 09:56:30	ga_s2bm_ard_3-2-1_55HDB_2021-10-02_final
2021-10-02 09:56:37	ga_s2bm_ard_3-2-1_55HBB_2021-10-02_final
2021-10-02 09:56:39	ga_s2bm_ard_3-2-1_54HYG_2021-10-02_final
2021-10-02 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2021-10-02_final
2021-10-02 09:56:58	ga_s2bm_ard_3-2-1_55HDV_2021-10-02_final
2021-10-02 09:57:03	ga_s2bm_ard_3-2-1_55HCV_2021-10-02_final
2021-10-02 09:57:06	ga_s2bm_ard_3-2-1_55HBV_2021-10-02_final
2021-10-02 09:57:07	ga_s2bm_ard_3-2-1_54HYE_2021-10-02_final
2021-10-02 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2021-10-02_final
2021-10-02 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2021-10-02_final
2021-10-02 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2021-10-02_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