Search ga_s2bm_ard_3 on 22nd 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
2023-09-22 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2023-09-22_final
2023-09-22 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2023-09-22_final
2023-09-22 09:51:16	ga_s2bm_ard_3-2-1_55LFC_2023-09-22_final
2023-09-22 09:51:20	ga_s2bm_ard_3-2-1_55LHC_2023-09-22_final
2023-09-22 09:51:22	ga_s2bm_ard_3-2-1_55LGC_2023-09-22_final
2023-09-22 09:51:24	ga_s2bm_ard_3-2-1_55LFC_2023-09-22_final
2023-09-22 09:51:29	ga_s2bm_ard_3-2-1_56KKG_2023-09-22_final
2023-09-22 09:51:30	ga_s2bm_ard_3-2-1_55KHB_2023-09-22_final
2023-09-22 09:51:33	ga_s2bm_ard_3-2-1_55KGB_2023-09-22_final
2023-09-22 09:51:37	ga_s2bm_ard_3-2-1_55KFB_2023-09-22_final
2023-09-22 09:51:43	ga_s2bm_ard_3-2-1_56KKF_2023-09-22_final
2023-09-22 09:51:51	ga_s2bm_ard_3-2-1_55KFA_2023-09-22_final
2023-09-22 09:52:09	ga_s2bm_ard_3-2-1_55KEV_2023-09-22_final
2023-09-22 09:52:17	ga_s2bm_ard_3-2-1_55KGU_2023-09-22_final
2023-09-22 09:52:20	ga_s2bm_ard_3-2-1_55KFU_2023-09-22_final
2023-09-22 09:52:23	ga_s2bm_ard_3-2-1_55KEU_2023-09-22_final
2023-09-22 09:52:31	ga_s2bm_ard_3-2-1_55KGT_2023-09-22_final
2023-09-22 09:52:35	ga_s2bm_ard_3-2-1_55KFT_2023-09-22_final
2023-09-22 09:52:38	ga_s2bm_ard_3-2-1_55KET_2023-09-22_final
2023-09-22 09:52:38	ga_s2bm_ard_3-2-1_55KHS_2023-09-22_final
2023-09-22 09:52:46	ga_s2bm_ard_3-2-1_55KGS_2023-09-22_final
2023-09-22 09:52:49	ga_s2bm_ard_3-2-1_55KFS_2023-09-22_final
2023-09-22 09:52:53	ga_s2bm_ard_3-2-1_55KES_2023-09-22_final
2023-09-22 09:52:59	ga_s2bm_ard_3-2-1_55KDS_2023-09-22_final
2023-09-22 09:53:00	ga_s2bm_ard_3-2-1_55KGR_2023-09-22_final
2023-09-22 09:53:04	ga_s2bm_ard_3-2-1_55KFR_2023-09-22_final
2023-09-22 09:53:07	ga_s2bm_ard_3-2-1_55KER_2023-09-22_final
2023-09-22 09:53:11	ga_s2bm_ard_3-2-1_55KDR_2023-09-22_final
2023-09-22 09:53:15	ga_s2bm_ard_3-2-1_55KGQ_2023-09-22_final
2023-09-22 09:53:18	ga_s2bm_ard_3-2-1_55KFQ_2023-09-22_final
2023-09-22 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2023-09-22_final
2023-09-22 09:53:25	ga_s2bm_ard_3-2-1_55KDQ_2023-09-22_final
2023-09-22 09:53:29	ga_s2bm_ard_3-2-1_55KGP_2023-09-22_final
2023-09-22 09:53:33	ga_s2bm_ard_3-2-1_55KFP_2023-09-22_final
2023-09-22 09:53:36	ga_s2bm_ard_3-2-1_55KEP_2023-09-22_final
2023-09-22 09:53:40	ga_s2bm_ard_3-2-1_55KDP_2023-09-22_final
2023-09-22 09:53:41	ga_s2bm_ard_3-2-1_55JGN_2023-09-22_final
2023-09-22 09:53:47	ga_s2bm_ard_3-2-1_55JFN_2023-09-22_final
2023-09-22 09:53:51	ga_s2bm_ard_3-2-1_55JEN_2023-09-22_final
2023-09-22 09:53:54	ga_s2bm_ard_3-2-1_55JDN_2023-09-22_final
2023-09-22 09:54:01	ga_s2bm_ard_3-2-1_55JCN_2023-09-22_final
2023-09-22 09:54:02	ga_s2bm_ard_3-2-1_55JFM_2023-09-22_final
2023-09-22 09:54:06	ga_s2bm_ard_3-2-1_55JEM_2023-09-22_final
2023-09-22 09:54:09	ga_s2bm_ard_3-2-1_55JDM_2023-09-22_final
2023-09-22 09:54:13	ga_s2bm_ard_3-2-1_55JCM_2023-09-22_final
2023-09-22 09:54:16	ga_s2bm_ard_3-2-1_55JFL_2023-09-22_final
2023-09-22 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-09-22_final
2023-09-22 09:54:23	ga_s2bm_ard_3-2-1_55JDL_2023-09-22_final
2023-09-22 09:54:26	ga_s2bm_ard_3-2-1_55JCL_2023-09-22_final
2023-09-22 09:54:31	ga_s2bm_ard_3-2-1_55JFK_2023-09-22_final
2023-09-22 09:54:35	ga_s2bm_ard_3-2-1_55JEK_2023-09-22_final
2023-09-22 09:54:38	ga_s2bm_ard_3-2-1_55JDK_2023-09-22_final
2023-09-22 09:54:41	ga_s2bm_ard_3-2-1_55JCK_2023-09-22_final
2023-09-22 09:54:44	ga_s2bm_ard_3-2-1_55JFJ_2023-09-22_final
2023-09-22 09:54:49	ga_s2bm_ard_3-2-1_55JEJ_2023-09-22_final
2023-09-22 09:54:52	ga_s2bm_ard_3-2-1_55JDJ_2023-09-22_final
2023-09-22 09:54:54	ga_s2bm_ard_3-2-1_55JFH_2023-09-22_final
2023-09-22 09:54:56	ga_s2bm_ard_3-2-1_55JCJ_2023-09-22_final
2023-09-22 09:55:03	ga_s2bm_ard_3-2-1_55JEH_2023-09-22_final
2023-09-22 09:57:54	ga_s2bm_ard_3-2-1_54HYB_2023-09-22_final
2023-09-22 11:31:34	ga_s2bm_ard_3-2-1_51LWE_2023-09-22_final
2023-09-22 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2023-09-22_final
2023-09-22 11:32:04	ga_s2bm_ard_3-2-1_51LWC_2023-09-22_final
2023-09-22 11:32:15	ga_s2bm_ard_3-2-1_51KXB_2023-09-22_final
2023-09-22 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2023-09-22_final
2023-09-22 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-09-22_final
2023-09-22 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-22_final
2023-09-22 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-22_final
2023-09-22 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-09-22_final
2023-09-22 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2023-09-22_final
2023-09-22 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2023-09-22_final
2023-09-22 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2023-09-22_final
2023-09-22 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2023-09-22_final
2023-09-22 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2023-09-22_final
2023-09-22 11:34:53	ga_s2bm_ard_3-2-1_50JRS_2023-09-22_final
2023-09-22 11:35:48	ga_s2bm_ard_3-2-1_51JUH_2023-09-22_final
2023-09-22 11:36:03	ga_s2bm_ard_3-2-1_51JUG_2023-09-22_final
2023-09-22 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2023-09-22_final
2023-09-22 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2023-09-22_final
2023-09-22 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2023-09-22_final
2023-09-22 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-22_final
2023-09-22 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-09-22_final
2023-09-22 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-09-22_final
2023-09-22 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2023-09-22_final
2023-09-22 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2023-09-22_final
2023-09-22 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2023-09-22_final
2023-09-22 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2023-09-22_final
2023-09-22 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-09-22_final
2023-09-22 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2023-09-22_final
2023-09-22 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-09-22_final
2023-09-22 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-09-22_final
2023-09-22 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-09-22_final
2023-09-22 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-09-22_final
2023-09-22 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-09-22_final
2023-09-22 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-22_final
2023-09-22 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-22_final
2023-09-22 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2023-09-22_final
2023-09-22 11:37:19	ga_s2bm_ard_3-2-1_51HTB_2023-09-22_final
2023-09-22 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-09-22_final
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final

Return to ga_s2bm_ard_3 on 22nd 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

22nd