Search ga_s2bm_ard_3 on 22nd August 2020

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
2020-08-22 09:32:48	ga_s2bm_ard_3-2-1_56KNB_2020-08-22_final.stac-item
2020-08-22 09:32:50	ga_s2bm_ard_3-2-1_56KMB_2020-08-22_final.stac-item
2020-08-22 09:32:56	ga_s2bm_ard_3-2-1_56KNA_2020-08-22_final.stac-item
2020-08-22 09:32:59	ga_s2bm_ard_3-2-1_56KMA_2020-08-22_final
2020-08-22 09:33:02	ga_s2bm_ard_3-2-1_56KLA_2020-08-22_final
2020-08-22 09:33:28	ga_s2bm_ard_3-2-1_56KMU_2020-08-22_final
2020-08-22 09:33:39	ga_s2bm_ard_3-2-1_56JNT_2020-08-22_final
2020-08-22 09:33:43	ga_s2bm_ard_3-2-1_56JMT_2020-08-22_final
2020-08-22 09:33:46	ga_s2bm_ard_3-2-1_56JLT_2020-08-22_final
2020-08-22 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2020-08-22_final
2020-08-22 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2020-08-22_final.stac-item
2020-08-22 09:34:12	ga_s2bm_ard_3-2-1_56JMR_2020-08-22_final
2020-08-22 09:34:15	ga_s2bm_ard_3-2-1_56JLR_2020-08-22_final
2020-08-22 09:35:02	ga_s2bm_ard_3-2-1_56JKN_2020-08-22_final
2020-08-22 09:35:05	ga_s2bm_ard_3-2-1_55JGH_2020-08-22_final
2020-08-22 09:35:24	ga_s2bm_ard_3-2-1_56JML_2020-08-22_final
2020-08-22 09:35:39	ga_s2bm_ard_3-2-1_56HMK_2020-08-22_final
2020-08-22 09:35:52	ga_s2bm_ard_3-2-1_56HMJ_2020-08-22_final
2020-08-22 09:36:29	ga_s2bm_ard_3-2-1_56HKG_2020-08-22_final
2020-08-22 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-08-22_final
2020-08-22 09:36:44	ga_s2bm_ard_3-2-1_56HKF_2020-08-22_final
2020-08-22 09:36:49	ga_s2bm_ard_3-2-1_55HFA_2020-08-22_final
2020-08-22 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2020-08-22_final.stac-item
2020-08-22 09:37:51	ga_s2bm_ard_3-2-1_55HES_2020-08-22_final
2020-08-22 09:37:55	ga_s2bm_ard_3-2-1_55HDS_2020-08-22_final
2020-08-22 09:38:30	ga_s2bm_ard_3-2-1_55GFP_2020-08-22_final
2020-08-22 09:38:34	ga_s2bm_ard_3-2-1_55GEP_2020-08-22_final
2020-08-22 09:38:38	ga_s2bm_ard_3-2-1_55GDP_2020-08-22_final
2020-08-22 09:38:44	ga_s2bm_ard_3-2-1_55GCP_2020-08-22_final
2020-08-22 09:38:44	ga_s2bm_ard_3-2-1_55GFN_2020-08-22_final
2020-08-22 09:38:49	ga_s2bm_ard_3-2-1_55GEN_2020-08-22_final
2020-08-22 09:38:52	ga_s2bm_ard_3-2-1_55GDN_2020-08-22_final
2020-08-22 09:38:56	ga_s2bm_ard_3-2-1_55GCN_2020-08-22_final
2020-08-22 09:39:03	ga_s2bm_ard_3-2-1_55GEM_2020-08-22_final.stac-item
2020-08-22 09:39:06	ga_s2bm_ard_3-2-1_55GDM_2020-08-22_final.stac-item
2020-08-22 09:39:07	ga_s2bm_ard_3-2-1_55GCM_2020-08-22_final.stac-item
2020-08-22 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2020-08-22_final
2020-08-22 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2020-08-22_final
2020-08-22 11:10:36	ga_s2bm_ard_3-2-1_52LFN_2020-08-22_final.stac-item
2020-08-22 11:10:41	ga_s2bm_ard_3-2-1_52LHM_2020-08-22_final
2020-08-22 11:10:47	ga_s2bm_ard_3-2-1_52LGM_2020-08-22_final
2020-08-22 11:10:51	ga_s2bm_ard_3-2-1_52LHL_2020-08-22_final
2020-08-22 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2020-08-22_final
2020-08-22 11:11:05	ga_s2bm_ard_3-2-1_52LFL_2020-08-22_final
2020-08-22 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2020-08-22_final.stac-item
2020-08-22 11:11:16	ga_s2bm_ard_3-2-1_52LGK_2020-08-22_final
2020-08-22 11:11:30	ga_s2bm_ard_3-2-1_52LGJ_2020-08-22_final
2020-08-22 11:11:34	ga_s2bm_ard_3-2-1_52LFJ_2020-08-22_final
2020-08-22 11:11:37	ga_s2bm_ard_3-2-1_52LEJ_2020-08-22_final
2020-08-22 11:11:40	ga_s2bm_ard_3-2-1_52LDJ_2020-08-22_final
2020-08-22 11:11:43	ga_s2bm_ard_3-2-1_52LGH_2020-08-22_final
2020-08-22 11:11:48	ga_s2bm_ard_3-2-1_52LFH_2020-08-22_final
2020-08-22 11:11:52	ga_s2bm_ard_3-2-1_52LEH_2020-08-22_final
2020-08-22 11:11:54	ga_s2bm_ard_3-2-1_52KGG_2020-08-22_final
2020-08-22 11:11:55	ga_s2bm_ard_3-2-1_52LDH_2020-08-22_final
2020-08-22 11:12:03	ga_s2bm_ard_3-2-1_52KFG_2020-08-22_final
2020-08-22 11:12:06	ga_s2bm_ard_3-2-1_52KEG_2020-08-22_final
2020-08-22 11:12:10	ga_s2bm_ard_3-2-1_52KDG_2020-08-22_final
2020-08-22 11:12:14	ga_s2bm_ard_3-2-1_52KCG_2020-08-22_final
2020-08-22 11:12:17	ga_s2bm_ard_3-2-1_52KFF_2020-08-22_final
2020-08-22 11:12:21	ga_s2bm_ard_3-2-1_52KEF_2020-08-22_final
2020-08-22 11:12:24	ga_s2bm_ard_3-2-1_52KDF_2020-08-22_final
2020-08-22 11:12:32	ga_s2bm_ard_3-2-1_52KFE_2020-08-22_final
2020-08-22 11:12:35	ga_s2bm_ard_3-2-1_52KEE_2020-08-22_final
2020-08-22 11:12:39	ga_s2bm_ard_3-2-1_52KDE_2020-08-22_final
2020-08-22 11:12:42	ga_s2bm_ard_3-2-1_52KCE_2020-08-22_final
2020-08-22 11:12:46	ga_s2bm_ard_3-2-1_52KFD_2020-08-22_final
2020-08-22 11:12:56	ga_s2bm_ard_3-2-1_52KCD_2020-08-22_final
2020-08-22 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2020-08-22_final
2020-08-22 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2020-08-22_final
2020-08-22 11:13:08	ga_s2bm_ard_3-2-1_52KDC_2020-08-22_final
2020-08-22 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2020-08-22_final
2020-08-22 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-08-22_final
2020-08-22 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2020-08-22_final
2020-08-22 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2020-08-22_final
2020-08-22 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2020-08-22_final
2020-08-22 11:13:29	ga_s2bm_ard_3-2-1_52KBB_2020-08-22_final
2020-08-22 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2020-08-22_final
2020-08-22 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2020-08-22_final
2020-08-22 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2020-08-22_final
2020-08-22 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2020-08-22_final
2020-08-22 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2020-08-22_final
2020-08-22 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2020-08-22_final
2020-08-22 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2020-08-22_final
2020-08-22 11:14:01	ga_s2bm_ard_3-2-1_52KEU_2020-08-22_final
2020-08-22 11:14:06	ga_s2bm_ard_3-2-1_52KDU_2020-08-22_final
2020-08-22 11:14:11	ga_s2bm_ard_3-2-1_52JET_2020-08-22_final
2020-08-22 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-08-22_final
2020-08-22 11:14:20	ga_s2bm_ard_3-2-1_52JDT_2020-08-22_final
2020-08-22 11:14:24	ga_s2bm_ard_3-2-1_52JCT_2020-08-22_final
2020-08-22 11:14:27	ga_s2bm_ard_3-2-1_51JZN_2020-08-22_final
2020-08-22 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2020-08-22_final
2020-08-22 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2020-08-22_final
2020-08-22 11:14:41	ga_s2bm_ard_3-2-1_51JZM_2020-08-22_final
2020-08-22 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2020-08-22_final
2020-08-22 11:15:43	ga_s2bm_ard_3-2-1_51JYH_2020-08-22_final
2020-08-22 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2020-08-22_final
2020-08-22 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2020-08-22_final
2020-08-22 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2020-08-22_final
2020-08-22 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2020-08-22_final

Return to ga_s2bm_ard_3 on 22nd August 2020 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

2020

August

22nd