Search ga_s2bm_ard_3 on 6th September 2023

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
2023-09-06 09:35:20	ga_s2bm_ard_3-2-1_55JGG_2023-09-06_final
2023-09-06 09:35:29	ga_s2bm_ard_3-2-1_56JLL_2023-09-06_final
2023-09-06 09:35:32	ga_s2bm_ard_3-2-1_56JKL_2023-09-06_final
2023-09-06 09:35:34	ga_s2bm_ard_3-2-1_55JGF_2023-09-06_final
2023-09-06 09:35:40	ga_s2bm_ard_3-2-1_56HMK_2023-09-06_final
2023-09-06 09:35:47	ga_s2bm_ard_3-2-1_56HKK_2023-09-06_final
2023-09-06 09:35:49	ga_s2bm_ard_3-2-1_55HGE_2023-09-06_final
2023-09-06 09:35:53	ga_s2bm_ard_3-2-1_56HMJ_2023-09-06_final
2023-09-06 09:35:54	ga_s2bm_ard_3-2-1_55HFE_2023-09-06_final
2023-09-06 09:36:01	ga_s2bm_ard_3-2-1_56HKJ_2023-09-06_final
2023-09-06 09:36:03	ga_s2bm_ard_3-2-1_55HGD_2023-09-06_final
2023-09-06 09:36:07	ga_s2bm_ard_3-2-1_55HFD_2023-09-06_final
2023-09-06 09:36:16	ga_s2bm_ard_3-2-1_56HKH_2023-09-06_final
2023-09-06 09:36:21	ga_s2bm_ard_3-2-1_55HFC_2023-09-06_final
2023-09-06 09:36:27	ga_s2bm_ard_3-2-1_56HLG_2023-09-06_final
2023-09-06 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2023-09-06_final
2023-09-06 09:36:36	ga_s2bm_ard_3-2-1_55HFB_2023-09-06_final
2023-09-06 09:36:45	ga_s2bm_ard_3-2-1_56HKF_2023-09-06_final
2023-09-06 09:36:50	ga_s2bm_ard_3-2-1_55HFA_2023-09-06_final
2023-09-06 09:36:55	ga_s2bm_ard_3-2-1_55HEA_2023-09-06_final
2023-09-06 09:37:00	ga_s2bm_ard_3-2-1_55HGV_2023-09-06_final
2023-09-06 09:37:02	ga_s2bm_ard_3-2-1_55HFV_2023-09-06_final
2023-09-06 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2023-09-06_final
2023-09-06 09:37:06	ga_s2bm_ard_3-2-1_55HGU_2023-09-06_final
2023-09-06 09:37:07	ga_s2bm_ard_3-2-1_55HGV_2023-09-06_final
2023-09-06 09:37:08	ga_s2bm_ard_3-2-1_55HFV_2023-09-06_final
2023-09-06 09:37:10	ga_s2bm_ard_3-2-1_55HEV_2023-09-06_final
2023-09-06 09:37:15	ga_s2bm_ard_3-2-1_55HGU_2023-09-06_final
2023-09-06 09:37:19	ga_s2bm_ard_3-2-1_55HFU_2023-09-06_final
2023-09-06 09:37:23	ga_s2bm_ard_3-2-1_55HEU_2023-09-06_final
2023-09-06 09:37:34	ga_s2bm_ard_3-2-1_55HFT_2023-09-06_final
2023-09-06 09:37:37	ga_s2bm_ard_3-2-1_55HET_2023-09-06_final
2023-09-06 09:37:44	ga_s2bm_ard_3-2-1_55HDT_2023-09-06_final
2023-09-06 09:37:48	ga_s2bm_ard_3-2-1_55HFS_2023-09-06_final
2023-09-06 09:37:52	ga_s2bm_ard_3-2-1_55HES_2023-09-06_final
2023-09-06 09:38:10	ga_s2bm_ard_3-2-1_55GDR_2023-09-06_final
2023-09-06 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-09-06_final
2023-09-06 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2023-09-06_final
2023-09-06 09:38:45	ga_s2bm_ard_3-2-1_55GCP_2023-09-06_final
2023-09-06 09:38:53	ga_s2bm_ard_3-2-1_55GDN_2023-09-06_final
2023-09-06 09:38:57	ga_s2bm_ard_3-2-1_55GCN_2023-09-06_final
2023-09-06 09:39:04	ga_s2bm_ard_3-2-1_55GEM_2023-09-06_final
2023-09-06 09:39:07	ga_s2bm_ard_3-2-1_55GDM_2023-09-06_final
2023-09-06 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2023-09-06_final
2023-09-06 11:10:08	ga_s2bm_ard_3-2-1_53LKJ_2023-09-06_final
2023-09-06 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-09-06_final
2023-09-06 11:10:33	ga_s2bm_ard_3-2-1_52LGN_2023-09-06_final
2023-09-06 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2023-09-06_final
2023-09-06 11:10:41	ga_s2bm_ard_3-2-1_52LHM_2023-09-06_final
2023-09-06 11:10:48	ga_s2bm_ard_3-2-1_52LGM_2023-09-06_final
2023-09-06 11:10:51	ga_s2bm_ard_3-2-1_52LFM_2023-09-06_final
2023-09-06 11:11:02	ga_s2bm_ard_3-2-1_52LGL_2023-09-06_final
2023-09-06 11:11:06	ga_s2bm_ard_3-2-1_52LFL_2023-09-06_final
2023-09-06 11:11:09	ga_s2bm_ard_3-2-1_52LEL_2023-09-06_final
2023-09-06 11:11:17	ga_s2bm_ard_3-2-1_52LGK_2023-09-06_final
2023-09-06 11:11:20	ga_s2bm_ard_3-2-1_52LFK_2023-09-06_final
2023-09-06 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2023-09-06_final
2023-09-06 11:11:31	ga_s2bm_ard_3-2-1_52LGJ_2023-09-06_final
2023-09-06 11:11:35	ga_s2bm_ard_3-2-1_52LFJ_2023-09-06_final
2023-09-06 11:11:38	ga_s2bm_ard_3-2-1_52LEJ_2023-09-06_final
2023-09-06 11:11:41	ga_s2bm_ard_3-2-1_52LDJ_2023-09-06_final
2023-09-06 11:11:44	ga_s2bm_ard_3-2-1_52LGH_2023-09-06_final
2023-09-06 11:11:49	ga_s2bm_ard_3-2-1_52LFH_2023-09-06_final
2023-09-06 11:11:53	ga_s2bm_ard_3-2-1_52LEH_2023-09-06_final
2023-09-06 11:11:55	ga_s2bm_ard_3-2-1_52KGG_2023-09-06_final
2023-09-06 11:11:56	ga_s2bm_ard_3-2-1_52LDH_2023-09-06_final
2023-09-06 11:12:04	ga_s2bm_ard_3-2-1_52KFG_2023-09-06_final
2023-09-06 11:12:07	ga_s2bm_ard_3-2-1_52KEG_2023-09-06_final
2023-09-06 11:12:11	ga_s2bm_ard_3-2-1_52KDG_2023-09-06_final
2023-09-06 11:12:15	ga_s2bm_ard_3-2-1_52KCG_2023-09-06_final
2023-09-06 11:12:18	ga_s2bm_ard_3-2-1_52KFF_2023-09-06_final
2023-09-06 11:12:22	ga_s2bm_ard_3-2-1_52KEF_2023-09-06_final
2023-09-06 11:12:25	ga_s2bm_ard_3-2-1_52KDF_2023-09-06_final
2023-09-06 11:12:28	ga_s2bm_ard_3-2-1_52KCF_2023-09-06_final
2023-09-06 11:12:33	ga_s2bm_ard_3-2-1_52KFE_2023-09-06_final
2023-09-06 11:12:36	ga_s2bm_ard_3-2-1_52KEE_2023-09-06_final
2023-09-06 11:12:40	ga_s2bm_ard_3-2-1_52KDE_2023-09-06_final
2023-09-06 11:12:43	ga_s2bm_ard_3-2-1_52KCE_2023-09-06_final
2023-09-06 11:12:46	ga_s2bm_ard_3-2-1_52KFD_2023-09-06_final
2023-09-06 11:12:51	ga_s2bm_ard_3-2-1_52KED_2023-09-06_final
2023-09-06 11:12:54	ga_s2bm_ard_3-2-1_52KDD_2023-09-06_final
2023-09-06 11:12:57	ga_s2bm_ard_3-2-1_52KCD_2023-09-06_final
2023-09-06 11:12:58	ga_s2bm_ard_3-2-1_52KFC_2023-09-06_final
2023-09-06 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2023-09-06_final
2023-09-06 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2023-09-06_final
2023-09-06 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2023-09-06_final
2023-09-06 11:13:18	ga_s2bm_ard_3-2-1_52KBC_2023-09-06_final
2023-09-06 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2023-09-06_final
2023-09-06 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2023-09-06_final
2023-09-06 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2023-09-06_final
2023-09-06 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2023-09-06_final
2023-09-06 11:13:25	ga_s2bm_ard_3-2-1_52KEB_2023-09-06_final
2023-09-06 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2023-09-06_final
2023-09-06 11:13:28	ga_s2bm_ard_3-2-1_52KCB_2023-09-06_final
2023-09-06 11:13:31	ga_s2bm_ard_3-2-1_52KBB_2023-09-06_final
2023-09-06 11:13:33	ga_s2bm_ard_3-2-1_51KZS_2023-09-06_final
2023-09-06 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-09-06_final
2023-09-06 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2023-09-06_final
2023-09-06 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2023-09-06_final
2023-09-06 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2023-09-06_final

Return to ga_s2bm_ard_3 on 6th September 2023 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

2023

September

6th