Search ga_s2bm_ard_3 on 3rd October 2019

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
2019-10-03 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2019-10-03_final
2019-10-03 09:51:16	ga_s2bm_ard_3-2-1_55LGC_2019-10-03_final
2019-10-03 09:51:19	ga_s2bm_ard_3-2-1_55LFC_2019-10-03_final
2019-10-03 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2019-10-03_final
2019-10-03 09:51:27	ga_s2bm_ard_3-2-1_55KHB_2019-10-03_final
2019-10-03 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2019-10-03_final
2019-10-03 09:51:34	ga_s2bm_ard_3-2-1_55KFB_2019-10-03_final
2019-10-03 09:51:40	ga_s2bm_ard_3-2-1_56KKF_2019-10-03_final
2019-10-03 09:51:48	ga_s2bm_ard_3-2-1_55KFA_2019-10-03_final
2019-10-03 09:52:06	ga_s2bm_ard_3-2-1_55KEV_2019-10-03_final
2019-10-03 09:52:14	ga_s2bm_ard_3-2-1_55KGU_2019-10-03_final
2019-10-03 09:52:17	ga_s2bm_ard_3-2-1_55KFU_2019-10-03_final
2019-10-03 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2019-10-03_final
2019-10-03 09:52:28	ga_s2bm_ard_3-2-1_55KGT_2019-10-03_final
2019-10-03 09:52:32	ga_s2bm_ard_3-2-1_55KFT_2019-10-03_final
2019-10-03 09:52:35	ga_s2bm_ard_3-2-1_55KET_2019-10-03_final
2019-10-03 09:52:36	ga_s2bm_ard_3-2-1_55KHS_2019-10-03_final
2019-10-03 09:52:43	ga_s2bm_ard_3-2-1_55KGS_2019-10-03_final
2019-10-03 09:52:47	ga_s2bm_ard_3-2-1_55KFS_2019-10-03_final
2019-10-03 09:52:50	ga_s2bm_ard_3-2-1_55KES_2019-10-03_final
2019-10-03 09:52:56	ga_s2bm_ard_3-2-1_55KDS_2019-10-03_final
2019-10-03 09:52:57	ga_s2bm_ard_3-2-1_55KGR_2019-10-03_final
2019-10-03 09:53:01	ga_s2bm_ard_3-2-1_55KFR_2019-10-03_final
2019-10-03 09:53:04	ga_s2bm_ard_3-2-1_55KER_2019-10-03_final
2019-10-03 09:53:08	ga_s2bm_ard_3-2-1_55KDR_2019-10-03_final
2019-10-03 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2019-10-03_final
2019-10-03 09:53:15	ga_s2bm_ard_3-2-1_55KFQ_2019-10-03_final
2019-10-03 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-10-03_final
2019-10-03 09:53:22	ga_s2bm_ard_3-2-1_55KDQ_2019-10-03_final
2019-10-03 09:53:26	ga_s2bm_ard_3-2-1_55KGP_2019-10-03_final
2019-10-03 09:53:30	ga_s2bm_ard_3-2-1_55KFP_2019-10-03_final
2019-10-03 09:53:33	ga_s2bm_ard_3-2-1_55KEP_2019-10-03_final
2019-10-03 09:53:37	ga_s2bm_ard_3-2-1_55KDP_2019-10-03_final
2019-10-03 09:53:38	ga_s2bm_ard_3-2-1_55JGN_2019-10-03_final
2019-10-03 09:53:44	ga_s2bm_ard_3-2-1_55JFN_2019-10-03_final
2019-10-03 09:53:48	ga_s2bm_ard_3-2-1_55JEN_2019-10-03_final
2019-10-03 09:53:48	ga_s2bm_ard_3-2-1_55JGM_2019-10-03_final
2019-10-03 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-03_final
2019-10-03 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-10-03_final
2019-10-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-03_final
2019-10-03 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2019-10-03_final
2019-10-03 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-10-03_final
2019-10-03 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-10-03_final
2019-10-03 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2019-10-03_final
2019-10-03 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2019-10-03_final
2019-10-03 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2019-10-03_final
2019-10-03 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2019-10-03_final
2019-10-03 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2019-10-03_final
2019-10-03 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2019-10-03_final
2019-10-03 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2019-10-03_final
2019-10-03 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2019-10-03_final
2019-10-03 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2019-10-03_final
2019-10-03 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2019-10-03_final
2019-10-03 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-10-03_final
2019-10-03 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2019-10-03_final
2019-10-03 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2019-10-03_final
2019-10-03 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2019-10-03_final
2019-10-03 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2019-10-03_final
2019-10-03 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2019-10-03_final
2019-10-03 11:35:05	ga_s2bm_ard_3-2-1_51JTL_2019-10-03_final
2019-10-03 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2019-10-03_final
2019-10-03 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2019-10-03_final
2019-10-03 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2019-10-03_final
2019-10-03 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2019-10-03_final
2019-10-03 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2019-10-03_final
2019-10-03 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2019-10-03_final
2019-10-03 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2019-10-03_final
2019-10-03 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2019-10-03_final
2019-10-03 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2019-10-03_final
2019-10-03 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2019-10-03_final
2019-10-03 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-10-03_final
2019-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2019-10-03_final
2019-10-03 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2019-10-03_final
2019-10-03 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2019-10-03_final
2019-10-03 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-10-03_final
2019-10-03 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2019-10-03_final
2019-10-03 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2019-10-03_final
2019-10-03 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-10-03_final
2019-10-03 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2019-10-03_final
2019-10-03 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2019-10-03_final
2019-10-03 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-10-03_final
2019-10-03 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2019-10-03_final
2019-10-03 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-10-03_final
2019-10-03 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2019-10-03_final
2019-10-03 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2019-10-03_final
2019-10-03 11:36:34	ga_s2bm_ard_3-2-1_51HVD_2019-10-03_final
2019-10-03 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2019-10-03_final
2019-10-03 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-10-03_final
2019-10-03 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2019-10-03_final
2019-10-03 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-10-03_final
2019-10-03 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-03_final
2019-10-03 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-10-03_final
2019-10-03 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-03_final
2019-10-03 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2019-10-03_final
2019-10-03 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-10-03_final
2019-10-03 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-10-03_final
2019-10-03 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2019-10-03_final
2019-10-03 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2019-10-03_final
2019-10-03 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-03_final
2019-10-03 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-10-03_final

Return to ga_s2bm_ard_3 on 3rd October 2019 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

2019

October

3rd