Search ga_s2bm_ard_3 on 14th February 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
2023-02-14 09:51:10	ga_s2bm_ard_3-2-1_55LHC_2023-02-14_final
2023-02-14 09:51:14	ga_s2bm_ard_3-2-1_55LGC_2023-02-14_final
2023-02-14 09:51:17	ga_s2bm_ard_3-2-1_55LFC_2023-02-14_final
2023-02-14 09:51:23	ga_s2bm_ard_3-2-1_56KKG_2023-02-14_final
2023-02-14 09:51:25	ga_s2bm_ard_3-2-1_55KHB_2023-02-14_final
2023-02-14 09:51:28	ga_s2bm_ard_3-2-1_55KGB_2023-02-14_final
2023-02-14 09:51:32	ga_s2bm_ard_3-2-1_55KFB_2023-02-14_final
2023-02-14 09:51:38	ga_s2bm_ard_3-2-1_56KKF_2023-02-14_final
2023-02-14 09:51:46	ga_s2bm_ard_3-2-1_55KFA_2023-02-14_final
2023-02-14 09:52:04	ga_s2bm_ard_3-2-1_55KEV_2023-02-14_final
2023-02-14 09:52:12	ga_s2bm_ard_3-2-1_55KGU_2023-02-14_final
2023-02-14 09:52:15	ga_s2bm_ard_3-2-1_55KFU_2023-02-14_final
2023-02-14 09:52:18	ga_s2bm_ard_3-2-1_55KEU_2023-02-14_final
2023-02-14 09:52:26	ga_s2bm_ard_3-2-1_55KGT_2023-02-14_final
2023-02-14 09:52:30	ga_s2bm_ard_3-2-1_55KFT_2023-02-14_final
2023-02-14 09:52:33	ga_s2bm_ard_3-2-1_55KET_2023-02-14_final
2023-02-14 09:52:34	ga_s2bm_ard_3-2-1_55KHS_2023-02-14_final
2023-02-14 09:52:40	ga_s2bm_ard_3-2-1_55KGS_2023-02-14_final
2023-02-14 09:52:44	ga_s2bm_ard_3-2-1_55KFS_2023-02-14_final
2023-02-14 09:52:48	ga_s2bm_ard_3-2-1_55KES_2023-02-14_final
2023-02-14 09:52:54	ga_s2bm_ard_3-2-1_55KDS_2023-02-14_final
2023-02-14 09:52:55	ga_s2bm_ard_3-2-1_55KGR_2023-02-14_final
2023-02-14 09:52:59	ga_s2bm_ard_3-2-1_55KFR_2023-02-14_final
2023-02-14 09:53:02	ga_s2bm_ard_3-2-1_55KER_2023-02-14_final
2023-02-14 09:53:06	ga_s2bm_ard_3-2-1_55KDR_2023-02-14_final
2023-02-14 09:53:10	ga_s2bm_ard_3-2-1_55KGQ_2023-02-14_final
2023-02-14 09:53:13	ga_s2bm_ard_3-2-1_55KFQ_2023-02-14_final
2023-02-14 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2023-02-14_final
2023-02-14 09:53:16	ga_s2bm_ard_3-2-1_55KDQ_2023-02-14_final
2023-02-14 09:53:18	ga_s2bm_ard_3-2-1_55KGP_2023-02-14_final
2023-02-14 09:53:19	ga_s2bm_ard_3-2-1_55KGQ_2023-02-14_final
2023-02-14 09:53:20	ga_s2bm_ard_3-2-1_55KFQ_2023-02-14_final
2023-02-14 09:53:20	ga_s2bm_ard_3-2-1_55KFP_2023-02-14_final
2023-02-14 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2023-02-14_final
2023-02-14 09:53:23	ga_s2bm_ard_3-2-1_55KDQ_2023-02-14_final
2023-02-14 09:53:24	ga_s2bm_ard_3-2-1_55KGP_2023-02-14_final
2023-02-14 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2023-02-14_final
2023-02-14 09:53:31	ga_s2bm_ard_3-2-1_55KEP_2023-02-14_final
2023-02-14 09:53:35	ga_s2bm_ard_3-2-1_55KDP_2023-02-14_final
2023-02-14 09:53:36	ga_s2bm_ard_3-2-1_55JGN_2023-02-14_final
2023-02-14 09:53:42	ga_s2bm_ard_3-2-1_55JFN_2023-02-14_final
2023-02-14 09:53:46	ga_s2bm_ard_3-2-1_55JEN_2023-02-14_final
2023-02-14 09:53:46	ga_s2bm_ard_3-2-1_55JGM_2023-02-14_final
2023-02-14 09:54:00	ga_s2bm_ard_3-2-1_55JEM_2023-02-14_final
2023-02-14 09:54:04	ga_s2bm_ard_3-2-1_55JDM_2023-02-14_final
2023-02-14 09:54:07	ga_s2bm_ard_3-2-1_55JCM_2023-02-14_final
2023-02-14 09:54:11	ga_s2bm_ard_3-2-1_55JFL_2023-02-14_final
2023-02-14 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2023-02-14_final
2023-02-14 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2023-02-14_final
2023-02-14 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2023-02-14_final
2023-02-14 09:54:26	ga_s2bm_ard_3-2-1_55JFK_2023-02-14_final
2023-02-14 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2023-02-14_final
2023-02-14 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2023-02-14_final
2023-02-14 09:54:39	ga_s2bm_ard_3-2-1_55JFJ_2023-02-14_final
2023-02-14 09:54:47	ga_s2bm_ard_3-2-1_55JDJ_2023-02-14_final
2023-02-14 09:54:49	ga_s2bm_ard_3-2-1_55JFH_2023-02-14_final
2023-02-14 09:54:51	ga_s2bm_ard_3-2-1_55JCJ_2023-02-14_final
2023-02-14 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2023-02-14_final
2023-02-14 09:55:05	ga_s2bm_ard_3-2-1_55JCH_2023-02-14_final
2023-02-14 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2023-02-14_final
2023-02-14 09:55:13	ga_s2bm_ard_3-2-1_55JEG_2023-02-14_final
2023-02-14 09:55:16	ga_s2bm_ard_3-2-1_55JDG_2023-02-14_final
2023-02-14 09:55:19	ga_s2bm_ard_3-2-1_55JCG_2023-02-14_final
2023-02-14 09:55:23	ga_s2bm_ard_3-2-1_55JBG_2023-02-14_final
2023-02-14 09:55:27	ga_s2bm_ard_3-2-1_55JEF_2023-02-14_final
2023-02-14 09:55:37	ga_s2bm_ard_3-2-1_55JBF_2023-02-14_final
2023-02-14 09:55:41	ga_s2bm_ard_3-2-1_55HEE_2023-02-14_final
2023-02-14 09:55:49	ga_s2bm_ard_3-2-1_55HCE_2023-02-14_final
2023-02-14 09:55:52	ga_s2bm_ard_3-2-1_55HBE_2023-02-14_final
2023-02-14 09:55:53	ga_s2bm_ard_3-2-1_55HED_2023-02-14_final
2023-02-14 09:56:00	ga_s2bm_ard_3-2-1_55HDD_2023-02-14_final
2023-02-14 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2023-02-14_final
2023-02-14 09:56:14	ga_s2bm_ard_3-2-1_55HDC_2023-02-14_final
2023-02-14 09:56:18	ga_s2bm_ard_3-2-1_55HCC_2023-02-14_final
2023-02-14 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2023-02-14_final
2023-02-14 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2023-02-14_final
2023-02-14 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2023-02-14_final
2023-02-14 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2023-02-14_final
2023-02-14 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2023-02-14_final
2023-02-14 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2023-02-14_final
2023-02-14 09:56:47	ga_s2bm_ard_3-2-1_55HCA_2023-02-14_final
2023-02-14 09:56:50	ga_s2bm_ard_3-2-1_55HBA_2023-02-14_final
2023-02-14 09:56:52	ga_s2bm_ard_3-2-1_54HYF_2023-02-14_final
2023-02-14 09:56:56	ga_s2bm_ard_3-2-1_54HXF_2023-02-14_final
2023-02-14 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2023-02-14_final
2023-02-14 09:57:01	ga_s2bm_ard_3-2-1_55HCV_2023-02-14_final
2023-02-14 09:57:05	ga_s2bm_ard_3-2-1_55HBV_2023-02-14_final
2023-02-14 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2023-02-14_final
2023-02-14 09:57:07	ga_s2bm_ard_3-2-1_55HDU_2023-02-14_final
2023-02-14 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2023-02-14_final
2023-02-14 09:57:16	ga_s2bm_ard_3-2-1_55HCU_2023-02-14_final
2023-02-14 09:57:20	ga_s2bm_ard_3-2-1_55HBU_2023-02-14_final
2023-02-14 09:57:25	ga_s2bm_ard_3-2-1_54HXD_2023-02-14_final
2023-02-14 09:57:31	ga_s2bm_ard_3-2-1_55HCT_2023-02-14_final
2023-02-14 09:57:39	ga_s2bm_ard_3-2-1_54HXC_2023-02-14_final
2023-02-14 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2023-02-14_final
2023-02-14 09:57:49	ga_s2bm_ard_3-2-1_55HBS_2023-02-14_final
2023-02-14 09:57:49	ga_s2bm_ard_3-2-1_54HYB_2023-02-14_final
2023-02-14 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2023-02-14_final
2023-02-14 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2023-02-14_final

Return to ga_s2bm_ard_3 on 14th February 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

February

14th