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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2021-05-15 09:52:45	ga_s2bm_ard_3-2-1_55KFS_2021-05-15_final
2021-05-15 09:52:48	ga_s2bm_ard_3-2-1_55KES_2021-05-15_final
2021-05-15 09:52:54	ga_s2bm_ard_3-2-1_55KDS_2021-05-15_final
2021-05-15 09:52:56	ga_s2bm_ard_3-2-1_55KGR_2021-05-15_final
2021-05-15 09:52:59	ga_s2bm_ard_3-2-1_55KFR_2021-05-15_final
2021-05-15 09:53:03	ga_s2bm_ard_3-2-1_55KER_2021-05-15_final
2021-05-15 09:53:06	ga_s2bm_ard_3-2-1_55KDR_2021-05-15_final
2021-05-15 09:53:10	ga_s2bm_ard_3-2-1_55KGQ_2021-05-15_final
2021-05-15 09:53:14	ga_s2bm_ard_3-2-1_55KFQ_2021-05-15_final
2021-05-15 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-05-15_final
2021-05-15 09:53:20	ga_s2bm_ard_3-2-1_55KDQ_2021-05-15_final
2021-05-15 09:53:24	ga_s2bm_ard_3-2-1_55KGP_2021-05-15_final
2021-05-15 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2021-05-15_final
2021-05-15 09:53:35	ga_s2bm_ard_3-2-1_55KDP_2021-05-15_final
2021-05-15 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2021-05-15_final
2021-05-15 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2021-05-15_final
2021-05-15 09:53:46	ga_s2bm_ard_3-2-1_55JEN_2021-05-15_final
2021-05-15 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2021-05-15_final
2021-05-15 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2021-05-15_final
2021-05-15 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2021-05-15_final
2021-05-15 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2021-05-15_final
2021-05-15 09:56:45	ga_s2bm_ard_3-2-1_54HXG_2021-05-15_final
2021-05-15 09:56:48	ga_s2bm_ard_3-2-1_55HCA_2021-05-15_final
2021-05-15 09:56:51	ga_s2bm_ard_3-2-1_55HBA_2021-05-15_final
2021-05-15 09:56:52	ga_s2bm_ard_3-2-1_54HYF_2021-05-15_final
2021-05-15 09:56:56	ga_s2bm_ard_3-2-1_54HXF_2021-05-15_final
2021-05-15 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2021-05-15_final
2021-05-15 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2021-05-15_final
2021-05-15 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2021-05-15_final
2021-05-15 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2021-05-15_final
2021-05-15 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-05-15_final
2021-05-15 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-05-15_final
2021-05-15 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2021-05-15_final
2021-05-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-05-15_final
2021-05-15 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-05-15_final
2021-05-15 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-05-15_final
2021-05-15 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-05-15_final
2021-05-15 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-05-15_final
2021-05-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-05-15_final
2021-05-15 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-05-15_final
2021-05-15 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-05-15_final
2021-05-15 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-05-15_final
2021-05-15 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2021-05-15_final
2021-05-15 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-05-15_final
2021-05-15 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-05-15_final
2021-05-15 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-05-15_final
2021-05-15 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-05-15_final
2021-05-15 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-05-15_final
2021-05-15 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-05-15_final
2021-05-15 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-05-15_final
2021-05-15 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-05-15_final
2021-05-15 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-05-15_final
2021-05-15 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-05-15_final
2021-05-15 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-05-15_final
2021-05-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-05-15_final
2021-05-15 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-05-15_final
2021-05-15 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2021-05-15_final
2021-05-15 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-05-15_final
2021-05-15 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-05-15_final
2021-05-15 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2021-05-15_final
2021-05-15 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-05-15_final
2021-05-15 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2021-05-15_final
2021-05-15 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-05-15_final
2021-05-15 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2021-05-15_final
2021-05-15 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-05-15_final
2021-05-15 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-05-15_final
2021-05-15 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2021-05-15_final
2021-05-15 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-05-15_final
2021-05-15 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2021-05-15_final
2021-05-15 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2021-05-15_final
2021-05-15 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2021-05-15_final
2021-05-15 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-05-15_final
2021-05-15 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2021-05-15_final
2021-05-15 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2021-05-15_final
2021-05-15 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2021-05-15_final
2021-05-15 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-05-15_final
2021-05-15 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2021-05-15_final
2021-05-15 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2021-05-15_final
2021-05-15 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-05-15_final
2021-05-15 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2021-05-15_final
2021-05-15 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-05-15_final
2021-05-15 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2021-05-15_final
2021-05-15 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2021-05-15_final
2021-05-15 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2021-05-15_final
2021-05-15 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2021-05-15_final
2021-05-15 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-05-15_final
2021-05-15 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2021-05-15_final
2021-05-15 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2021-05-15_final
2021-05-15 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-05-15_final
2021-05-15 11:36:16	ga_s2bm_ard_3-2-1_51JTF_2021-05-15_final
2021-05-15 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-05-15_final
2021-05-15 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2021-05-15_final
2021-05-15 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-05-15_final
2021-05-15 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2021-05-15_final
2021-05-15 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-05-15_final
2021-05-15 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2021-05-15_final
2021-05-15 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-05-15_final
2021-05-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-05-15_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years