Search ga_s2bm_ard_3 on 12th August 2022

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
2022-08-12 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2022-08-12_final
2022-08-12 11:11:40	ga_s2bm_ard_3-2-1_52LDJ_2022-08-12_final
2022-08-12 11:11:54	ga_s2bm_ard_3-2-1_52KGG_2022-08-12_final
2022-08-12 11:12:02	ga_s2bm_ard_3-2-1_52KFG_2022-08-12_final
2022-08-12 11:12:06	ga_s2bm_ard_3-2-1_52KEG_2022-08-12_final
2022-08-12 11:12:09	ga_s2bm_ard_3-2-1_52KDG_2022-08-12_final
2022-08-12 11:12:14	ga_s2bm_ard_3-2-1_52KCG_2022-08-12_final
2022-08-12 11:12:17	ga_s2bm_ard_3-2-1_52KFF_2022-08-12_final
2022-08-12 11:12:21	ga_s2bm_ard_3-2-1_52KEF_2022-08-12_final
2022-08-12 11:12:24	ga_s2bm_ard_3-2-1_52KDF_2022-08-12_final
2022-08-12 11:12:27	ga_s2bm_ard_3-2-1_52KCF_2022-08-12_final
2022-08-12 11:12:32	ga_s2bm_ard_3-2-1_52KFE_2022-08-12_final
2022-08-12 11:12:35	ga_s2bm_ard_3-2-1_52KEE_2022-08-12_final
2022-08-12 11:12:39	ga_s2bm_ard_3-2-1_52KDE_2022-08-12_final
2022-08-12 11:12:41	ga_s2bm_ard_3-2-1_52KCE_2022-08-12_final
2022-08-12 11:12:46	ga_s2bm_ard_3-2-1_52KFD_2022-08-12_final
2022-08-12 11:12:50	ga_s2bm_ard_3-2-1_52KED_2022-08-12_final
2022-08-12 11:12:53	ga_s2bm_ard_3-2-1_52KDD_2022-08-12_final
2022-08-12 11:12:56	ga_s2bm_ard_3-2-1_52KCD_2022-08-12_final
2022-08-12 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2022-08-12_final
2022-08-12 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2022-08-12_final
2022-08-12 11:13:08	ga_s2bm_ard_3-2-1_52KDC_2022-08-12_final
2022-08-12 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2022-08-12_final
2022-08-12 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2022-08-12_final
2022-08-12 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2022-08-12_final
2022-08-12 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2022-08-12_final
2022-08-12 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2022-08-12_final
2022-08-12 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2022-08-12_final
2022-08-12 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2022-08-12_final
2022-08-12 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2022-08-12_final
2022-08-12 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2022-08-12_final
2022-08-12 11:13:33	ga_s2bm_ard_3-2-1_52KCB_2022-08-12_final
2022-08-12 11:13:33	ga_s2bm_ard_3-2-1_52KCA_2022-08-12_final
2022-08-12 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2022-08-12_final
2022-08-12 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2022-08-12_final
2022-08-12 11:13:34	ga_s2bm_ard_3-2-1_51KZS_2022-08-12_final
2022-08-12 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-08-12_final
2022-08-12 11:13:37	ga_s2bm_ard_3-2-1_52KEA_2022-08-12_final
2022-08-12 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-08-12_final
2022-08-12 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2022-08-12_final
2022-08-12 11:13:43	ga_s2bm_ard_3-2-1_52KBA_2022-08-12_final
2022-08-12 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2022-08-12_final
2022-08-12 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2022-08-12_final
2022-08-12 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2022-08-12_final
2022-08-12 11:13:55	ga_s2bm_ard_3-2-1_52KCV_2022-08-12_final
2022-08-12 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2022-08-12_final
2022-08-12 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2022-08-12_final
2022-08-12 11:14:01	ga_s2bm_ard_3-2-1_52KEU_2022-08-12_final
2022-08-12 11:14:06	ga_s2bm_ard_3-2-1_52KDU_2022-08-12_final
2022-08-12 11:14:09	ga_s2bm_ard_3-2-1_52KCU_2022-08-12_final
2022-08-12 11:14:11	ga_s2bm_ard_3-2-1_52JET_2022-08-12_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2022-08-12_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2022-08-12_final
2022-08-12 11:14:20	ga_s2bm_ard_3-2-1_52JDT_2022-08-12_final
2022-08-12 11:14:24	ga_s2bm_ard_3-2-1_52JCT_2022-08-12_final
2022-08-12 11:14:27	ga_s2bm_ard_3-2-1_51JZN_2022-08-12_final
2022-08-12 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2022-08-12_final
2022-08-12 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2022-08-12_final
2022-08-12 11:14:35	ga_s2bm_ard_3-2-1_52JDS_2022-08-12_final
2022-08-12 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2022-08-12_final
2022-08-12 11:14:41	ga_s2bm_ard_3-2-1_51JZM_2022-08-12_final
2022-08-12 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2022-08-12_final
2022-08-12 11:14:45	ga_s2bm_ard_3-2-1_51JYM_2022-08-12_final
2022-08-12 11:14:50	ga_s2bm_ard_3-2-1_52JDR_2022-08-12_final
2022-08-12 11:14:53	ga_s2bm_ard_3-2-1_52JCR_2022-08-12_final
2022-08-12 11:14:56	ga_s2bm_ard_3-2-1_52JBR_2022-08-12_final
2022-08-12 11:14:59	ga_s2bm_ard_3-2-1_51JYL_2022-08-12_final
2022-08-12 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2022-08-12_final
2022-08-12 11:15:07	ga_s2bm_ard_3-2-1_52JCQ_2022-08-12_final
2022-08-12 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2022-08-12_final
2022-08-12 11:15:14	ga_s2bm_ard_3-2-1_51JYK_2022-08-12_final
2022-08-12 11:15:16	ga_s2bm_ard_3-2-1_52JDP_2022-08-12_final
2022-08-12 11:15:22	ga_s2bm_ard_3-2-1_52JCP_2022-08-12_final
2022-08-12 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2022-08-12_final
2022-08-12 11:15:28	ga_s2bm_ard_3-2-1_51JYJ_2022-08-12_final
2022-08-12 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2022-08-12_final
2022-08-12 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2022-08-12_final
2022-08-12 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2022-08-12_final
2022-08-12 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2022-08-12_final
2022-08-12 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2022-08-12_final
2022-08-12 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2022-08-12_final
2022-08-12 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2022-08-12_final
2022-08-12 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2022-08-12_final
2022-08-12 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2022-08-12_final
2022-08-12 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2022-08-12_final
2022-08-12 11:16:09	ga_s2bm_ard_3-2-1_52JBL_2022-08-12_final
2022-08-12 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2022-08-12_final
2022-08-12 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2022-08-12_final
2022-08-12 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2022-08-12_final
2022-08-12 11:16:23	ga_s2bm_ard_3-2-1_51JWF_2022-08-12_final
2022-08-12 11:16:23	ga_s2bm_ard_3-2-1_52HBK_2022-08-12_final
2022-08-12 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2022-08-12_final
2022-08-12 11:16:30	ga_s2bm_ard_3-2-1_51HXE_2022-08-12_final
2022-08-12 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2022-08-12_final
2022-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2022-08-12_final
2022-08-12 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2022-08-12_final
2022-08-12 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2022-08-12_final
2022-08-12 11:16:59	ga_s2bm_ard_3-2-1_51HXC_2022-08-12_final
2022-08-12 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2022-08-12_final
2022-08-12 11:17:10	ga_s2bm_ard_3-2-1_51HXB_2022-08-12_final

Return to ga_s2bm_ard_3 on 12th August 2022 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

2022

August

12th