Search ga_s2bm_ard_3 on 15th July 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
2019-07-15 09:53:02	ga_s2bm_ard_3-2-1_55KDS_2019-07-15_final
2019-07-15 09:53:06	ga_s2bm_ard_3-2-1_55KDS_2019-07-15_final
2019-07-15 09:53:42	ga_s2bm_ard_3-2-1_55KEP_2019-07-15_final
2019-07-15 09:53:46	ga_s2bm_ard_3-2-1_55JGN_2019-07-15_final
2019-07-15 09:53:52	ga_s2bm_ard_3-2-1_55JFN_2019-07-15_final
2019-07-15 09:53:56	ga_s2bm_ard_3-2-1_55JGM_2019-07-15_final
2019-07-15 09:54:06	ga_s2bm_ard_3-2-1_55JCN_2019-07-15_final
2019-07-15 09:54:07	ga_s2bm_ard_3-2-1_55JFM_2019-07-15_final
2019-07-15 09:54:11	ga_s2bm_ard_3-2-1_55JEM_2019-07-15_final
2019-07-15 09:54:14	ga_s2bm_ard_3-2-1_55JDM_2019-07-15_final
2019-07-15 09:54:18	ga_s2bm_ard_3-2-1_55JCM_2019-07-15_final
2019-07-15 09:54:22	ga_s2bm_ard_3-2-1_55JFL_2019-07-15_final
2019-07-15 09:54:25	ga_s2bm_ard_3-2-1_55JEL_2019-07-15_final
2019-07-15 09:54:28	ga_s2bm_ard_3-2-1_55JDL_2019-07-15_final
2019-07-15 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-07-15_final
2019-07-15 09:54:36	ga_s2bm_ard_3-2-1_55JFK_2019-07-15_final
2019-07-15 09:54:40	ga_s2bm_ard_3-2-1_55JEK_2019-07-15_final
2019-07-15 09:54:43	ga_s2bm_ard_3-2-1_55JDK_2019-07-15_final
2019-07-15 09:54:46	ga_s2bm_ard_3-2-1_55JCK_2019-07-15_final
2019-07-15 09:54:49	ga_s2bm_ard_3-2-1_55JFJ_2019-07-15_final
2019-07-15 09:54:54	ga_s2bm_ard_3-2-1_55JEJ_2019-07-15_final
2019-07-15 09:54:58	ga_s2bm_ard_3-2-1_55JDJ_2019-07-15_final
2019-07-15 09:54:59	ga_s2bm_ard_3-2-1_55JFH_2019-07-15_final
2019-07-15 09:55:01	ga_s2bm_ard_3-2-1_55JCJ_2019-07-15_final
2019-07-15 09:55:08	ga_s2bm_ard_3-2-1_55JEH_2019-07-15_final
2019-07-15 09:55:12	ga_s2bm_ard_3-2-1_55JDH_2019-07-15_final
2019-07-15 09:55:15	ga_s2bm_ard_3-2-1_55JCH_2019-07-15_final
2019-07-15 09:55:20	ga_s2bm_ard_3-2-1_55JBH_2019-07-15_final
2019-07-15 09:55:23	ga_s2bm_ard_3-2-1_55JEG_2019-07-15_final
2019-07-15 09:55:27	ga_s2bm_ard_3-2-1_55JDG_2019-07-15_final
2019-07-15 09:55:30	ga_s2bm_ard_3-2-1_55JCG_2019-07-15_final
2019-07-15 09:55:33	ga_s2bm_ard_3-2-1_55JBG_2019-07-15_final
2019-07-15 09:55:38	ga_s2bm_ard_3-2-1_55JEF_2019-07-15_final
2019-07-15 09:55:41	ga_s2bm_ard_3-2-1_55JDF_2019-07-15_final
2019-07-15 09:55:45	ga_s2bm_ard_3-2-1_55JCF_2019-07-15_final
2019-07-15 09:55:48	ga_s2bm_ard_3-2-1_55JBF_2019-07-15_final
2019-07-15 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-15_final
2019-07-15 09:55:56	ga_s2bm_ard_3-2-1_55HDE_2019-07-15_final
2019-07-15 09:55:59	ga_s2bm_ard_3-2-1_55HCE_2019-07-15_final
2019-07-15 09:56:02	ga_s2bm_ard_3-2-1_55HBE_2019-07-15_final
2019-07-15 09:56:03	ga_s2bm_ard_3-2-1_55HED_2019-07-15_final
2019-07-15 09:56:05	ga_s2bm_ard_3-2-1_54HYK_2019-07-15_final
2019-07-15 09:56:10	ga_s2bm_ard_3-2-1_55HDD_2019-07-15_final
2019-07-15 09:56:14	ga_s2bm_ard_3-2-1_55HCD_2019-07-15_final
2019-07-15 09:56:17	ga_s2bm_ard_3-2-1_55HBD_2019-07-15_final
2019-07-15 09:56:19	ga_s2bm_ard_3-2-1_54HYJ_2019-07-15_final
2019-07-15 09:56:25	ga_s2bm_ard_3-2-1_55HDC_2019-07-15_final
2019-07-15 09:56:28	ga_s2bm_ard_3-2-1_55HCC_2019-07-15_final
2019-07-15 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-07-15_final
2019-07-15 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-15_final
2019-07-15 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-07-15_final
2019-07-15 11:33:11	ga_s2bm_ard_3-2-1_51KYT_2019-07-15_final
2019-07-15 11:33:18	ga_s2bm_ard_3-2-1_51KXT_2019-07-15_final
2019-07-15 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-15_final
2019-07-15 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-07-15_final
2019-07-15 11:33:31	ga_s2bm_ard_3-2-1_51KUT_2019-07-15_final
2019-07-15 11:33:32	ga_s2bm_ard_3-2-1_51KXS_2019-07-15_final
2019-07-15 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-15_final
2019-07-15 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-07-15_final
2019-07-15 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-07-15_final
2019-07-15 11:33:47	ga_s2bm_ard_3-2-1_51KXR_2019-07-15_final
2019-07-15 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-15_final
2019-07-15 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-07-15_final
2019-07-15 11:33:57	ga_s2bm_ard_3-2-1_51KUR_2019-07-15_final
2019-07-15 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-07-15_final
2019-07-15 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-07-15_final
2019-07-15 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2019-07-15_final
2019-07-15 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2019-07-15_final
2019-07-15 11:34:08	ga_s2bm_ard_3-2-1_51KXQ_2019-07-15_final
2019-07-15 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2019-07-15_final
2019-07-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-07-15_final
2019-07-15 11:34:10	ga_s2bm_ard_3-2-1_51KWQ_2019-07-15_final
2019-07-15 11:34:12	ga_s2bm_ard_3-2-1_51KVQ_2019-07-15_final
2019-07-15 11:34:14	ga_s2bm_ard_3-2-1_51KUQ_2019-07-15_final
2019-07-15 11:34:14	ga_s2bm_ard_3-2-1_51KXP_2019-07-15_final
2019-07-15 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-07-15_final
2019-07-15 11:34:23	ga_s2bm_ard_3-2-1_51KVP_2019-07-15_final
2019-07-15 11:34:24	ga_s2bm_ard_3-2-1_51JXN_2019-07-15_final
2019-07-15 11:34:26	ga_s2bm_ard_3-2-1_51KUP_2019-07-15_final
2019-07-15 11:34:34	ga_s2bm_ard_3-2-1_51JWN_2019-07-15_final
2019-07-15 11:34:38	ga_s2bm_ard_3-2-1_51JVN_2019-07-15_final
2019-07-15 11:34:41	ga_s2bm_ard_3-2-1_51JUN_2019-07-15_final
2019-07-15 11:34:45	ga_s2bm_ard_3-2-1_51JTN_2019-07-15_final
2019-07-15 11:34:45	ga_s2bm_ard_3-2-1_50JRT_2019-07-15_final
2019-07-15 11:34:48	ga_s2bm_ard_3-2-1_51JWM_2019-07-15_final
2019-07-15 11:34:52	ga_s2bm_ard_3-2-1_51JVM_2019-07-15_final
2019-07-15 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-07-15_final
2019-07-15 11:34:58	ga_s2bm_ard_3-2-1_50JRS_2019-07-15_final
2019-07-15 11:34:58	ga_s2bm_ard_3-2-1_51JTM_2019-07-15_final
2019-07-15 11:35:03	ga_s2bm_ard_3-2-1_51JWL_2019-07-15_final
2019-07-15 11:35:07	ga_s2bm_ard_3-2-1_51JVL_2019-07-15_final
2019-07-15 11:35:10	ga_s2bm_ard_3-2-1_51JUL_2019-07-15_final
2019-07-15 11:35:13	ga_s2bm_ard_3-2-1_51JTL_2019-07-15_final
2019-07-15 11:35:17	ga_s2bm_ard_3-2-1_51JWK_2019-07-15_final
2019-07-15 11:35:21	ga_s2bm_ard_3-2-1_51JVK_2019-07-15_final
2019-07-15 11:35:24	ga_s2bm_ard_3-2-1_51JUK_2019-07-15_final
2019-07-15 11:35:28	ga_s2bm_ard_3-2-1_51JTK_2019-07-15_final
2019-07-15 11:35:28	ga_s2bm_ard_3-2-1_51JWJ_2019-07-15_final
2019-07-15 11:35:35	ga_s2bm_ard_3-2-1_51JVJ_2019-07-15_final
2019-07-15 11:35:39	ga_s2bm_ard_3-2-1_51JUJ_2019-07-15_final

Return to ga_s2bm_ard_3 on 15th July 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

July

15th