Search ga_s2bm_ard_3 on 18th June 2020

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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2020-06-18 10:19:40	ga_s2bm_ard_3-2-1_54LZQ_2020-06-18_final
2020-06-18 10:19:44	ga_s2bm_ard_3-2-1_54LYQ_2020-06-18_final
2020-06-18 10:19:47	ga_s2bm_ard_3-2-1_54LXQ_2020-06-18_final
2020-06-18 10:19:54	ga_s2bm_ard_3-2-1_54LZP_2020-06-18_final
2020-06-18 10:19:58	ga_s2bm_ard_3-2-1_54LYP_2020-06-18_final
2020-06-18 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2020-06-18_final
2020-06-18 10:20:16	ga_s2bm_ard_3-2-1_54LXN_2020-06-18_final
2020-06-18 10:20:21	ga_s2bm_ard_3-2-1_54LWN_2020-06-18_final
2020-06-18 10:20:23	ga_s2bm_ard_3-2-1_54LZM_2020-06-18_final
2020-06-18 10:20:27	ga_s2bm_ard_3-2-1_54LYM_2020-06-18_final
2020-06-18 10:20:30	ga_s2bm_ard_3-2-1_54LXM_2020-06-18_final
2020-06-18 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2020-06-18_final
2020-06-18 10:21:03	ga_s2bm_ard_3-2-1_54LWK_2020-06-18_final
2020-06-18 10:21:03	ga_s2bm_ard_3-2-1_54LZJ_2020-06-18_final
2020-06-18 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2020-06-18_final
2020-06-18 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2020-06-18_final
2020-06-18 10:21:25	ga_s2bm_ard_3-2-1_54LYH_2020-06-18_final
2020-06-18 10:21:43	ga_s2bm_ard_3-2-1_54KXG_2020-06-18_final
2020-06-18 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2020-06-18_final
2020-06-18 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2020-06-18_final
2020-06-18 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2020-06-18_final
2020-06-18 10:22:01	ga_s2bm_ard_3-2-1_54KWF_2020-06-18_final
2020-06-18 10:22:06	ga_s2bm_ard_3-2-1_54KYE_2020-06-18_final
2020-06-18 10:22:12	ga_s2bm_ard_3-2-1_54KXE_2020-06-18_final
2020-06-18 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2020-06-18_final
2020-06-18 10:22:19	ga_s2bm_ard_3-2-1_54KVE_2020-06-18_final
2020-06-18 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2020-06-18_final
2020-06-18 10:22:26	ga_s2bm_ard_3-2-1_54KUE_2020-06-18_final
2020-06-18 10:22:30	ga_s2bm_ard_3-2-1_54KWD_2020-06-18_final
2020-06-18 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2020-06-18_final
2020-06-18 10:22:37	ga_s2bm_ard_3-2-1_54KUD_2020-06-18_final
2020-06-18 10:22:41	ga_s2bm_ard_3-2-1_54KXC_2020-06-18_final
2020-06-18 10:22:44	ga_s2bm_ard_3-2-1_54KWC_2020-06-18_final
2020-06-18 10:22:48	ga_s2bm_ard_3-2-1_54KVC_2020-06-18_final
2020-06-18 10:22:51	ga_s2bm_ard_3-2-1_54KUC_2020-06-18_final
2020-06-18 10:23:19	ga_s2bm_ard_3-2-1_54KXV_2020-06-18_final
2020-06-18 10:23:20	ga_s2bm_ard_3-2-1_54KUA_2020-06-18_final
2020-06-18 10:23:35	ga_s2bm_ard_3-2-1_54KUV_2020-06-18_final
2020-06-18 10:23:42	ga_s2bm_ard_3-2-1_54KWU_2020-06-18_final
2020-06-18 10:23:46	ga_s2bm_ard_3-2-1_54KVU_2020-06-18_final
2020-06-18 10:23:52	ga_s2bm_ard_3-2-1_54KTU_2020-06-18_final
2020-06-18 10:24:07	ga_s2bm_ard_3-2-1_54JTT_2020-06-18_final
2020-06-18 10:24:11	ga_s2bm_ard_3-2-1_54JWS_2020-06-18_final
2020-06-18 10:24:15	ga_s2bm_ard_3-2-1_54JVS_2020-06-18_final
2020-06-18 10:24:18	ga_s2bm_ard_3-2-1_54JUS_2020-06-18_final
2020-06-18 10:24:21	ga_s2bm_ard_3-2-1_54JTS_2020-06-18_final
2020-06-18 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2020-06-18_final
2020-06-18 10:24:29	ga_s2bm_ard_3-2-1_54JVR_2020-06-18_final
2020-06-18 10:24:33	ga_s2bm_ard_3-2-1_54JUR_2020-06-18_final
2020-06-18 10:24:48	ga_s2bm_ard_3-2-1_54JUQ_2020-06-18_final
2020-06-18 10:24:51	ga_s2bm_ard_3-2-1_54JTQ_2020-06-18_final
2020-06-18 10:24:54	ga_s2bm_ard_3-2-1_53JQK_2020-06-18_final
2020-06-18 10:25:02	ga_s2bm_ard_3-2-1_54JUP_2020-06-18_final
2020-06-18 10:25:08	ga_s2bm_ard_3-2-1_53JQJ_2020-06-18_final
2020-06-18 10:25:13	ga_s2bm_ard_3-2-1_54JVN_2020-06-18_final
2020-06-18 10:25:17	ga_s2bm_ard_3-2-1_54JUN_2020-06-18_final
2020-06-18 10:25:38	ga_s2bm_ard_3-2-1_54JVL_2020-06-18_final
2020-06-18 10:25:49	ga_s2bm_ard_3-2-1_54JTL_2020-06-18_final
2020-06-18 10:25:55	ga_s2bm_ard_3-2-1_53JPF_2020-06-18_final
2020-06-18 10:26:00	ga_s2bm_ard_3-2-1_54HUK_2020-06-18_final
2020-06-18 10:26:06	ga_s2bm_ard_3-2-1_53HQE_2020-06-18_final
2020-06-18 10:26:15	ga_s2bm_ard_3-2-1_54HUJ_2020-06-18_final
2020-06-18 10:26:18	ga_s2bm_ard_3-2-1_54HTJ_2020-06-18_final
2020-06-18 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2020-06-18_final
2020-06-18 10:26:33	ga_s2bm_ard_3-2-1_54HTH_2020-06-18_final
2020-06-18 10:26:35	ga_s2bm_ard_3-2-1_53HQC_2020-06-18_final
2020-06-18 10:26:43	ga_s2bm_ard_3-2-1_54HUG_2020-06-18_final
2020-06-18 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2020-06-18_final
2020-06-18 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2020-06-18_final
2020-06-18 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2020-06-18_final
2020-06-18 10:26:53	ga_s2bm_ard_3-2-1_53HPB_2020-06-18_final
2020-06-18 10:26:53	ga_s2bm_ard_3-2-1_54HUF_2020-06-18_final
2020-06-18 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-06-18_final
2020-06-18 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-06-18_final
2020-06-18 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2020-06-18_final
2020-06-18 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2020-06-18_final
2020-06-18 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-06-18_final
2020-06-18 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-06-18_final
2020-06-18 12:03:58	ga_s2bm_ard_3-2-1_50KLA_2020-06-18_final
2020-06-18 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-06-18_final
2020-06-18 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-06-18_final
2020-06-18 12:04:09	ga_s2bm_ard_3-2-1_50KMV_2020-06-18_final
2020-06-18 12:04:13	ga_s2bm_ard_3-2-1_50KLV_2020-06-18_final
2020-06-18 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-06-18_final
2020-06-18 12:04:24	ga_s2bm_ard_3-2-1_50KMU_2020-06-18_final
2020-06-18 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-06-18_final
2020-06-18 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-18_final
2020-06-18 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-18_final
2020-06-18 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-06-18_final
2020-06-18 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-18_final
2020-06-18 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-06-18_final
2020-06-18 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-06-18_final
2020-06-18 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final
2020-06-18 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2020-06-18_final
2020-06-18 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2020-06-18_final
2020-06-18 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final
2020-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-06-18_final
2020-06-18 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-06-18_final
2020-06-18 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-18_final
2020-06-18 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-18_final

Return to ga_s2bm_ard_3 on 18th June 2020 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2020

June

18th