Search ga_s2bm_ard_3 on 14th April 2021

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
2021-04-14 10:19:34	ga_s2bm_ard_3-2-1_54LZQ_2021-04-14_final
2021-04-14 10:19:37	ga_s2bm_ard_3-2-1_54LYQ_2021-04-14_final
2021-04-14 10:19:40	ga_s2bm_ard_3-2-1_54LXQ_2021-04-14_final
2021-04-14 10:19:48	ga_s2bm_ard_3-2-1_54LZP_2021-04-14_final
2021-04-14 10:19:52	ga_s2bm_ard_3-2-1_54LYP_2021-04-14_final
2021-04-14 10:19:55	ga_s2bm_ard_3-2-1_54LXP_2021-04-14_final
2021-04-14 10:20:02	ga_s2bm_ard_3-2-1_54LZN_2021-04-14_final
2021-04-14 10:20:06	ga_s2bm_ard_3-2-1_54LYN_2021-04-14_final
2021-04-14 10:20:09	ga_s2bm_ard_3-2-1_54LXN_2021-04-14_final
2021-04-14 10:20:14	ga_s2bm_ard_3-2-1_54LWN_2021-04-14_final
2021-04-14 10:20:17	ga_s2bm_ard_3-2-1_54LZM_2021-04-14_final
2021-04-14 10:20:21	ga_s2bm_ard_3-2-1_54LYM_2021-04-14_final
2021-04-14 10:20:24	ga_s2bm_ard_3-2-1_54LXM_2021-04-14_final
2021-04-14 10:20:27	ga_s2bm_ard_3-2-1_54LWM_2021-04-14_final
2021-04-14 10:20:32	ga_s2bm_ard_3-2-1_54LZL_2021-04-14_final
2021-04-14 10:20:35	ga_s2bm_ard_3-2-1_54LYL_2021-04-14_final
2021-04-14 10:20:39	ga_s2bm_ard_3-2-1_54LXL_2021-04-14_final
2021-04-14 10:20:42	ga_s2bm_ard_3-2-1_54LWL_2021-04-14_final
2021-04-14 10:20:53	ga_s2bm_ard_3-2-1_54LXK_2021-04-14_final
2021-04-14 10:20:56	ga_s2bm_ard_3-2-1_54LWK_2021-04-14_final
2021-04-14 10:21:33	ga_s2bm_ard_3-2-1_54KYG_2021-04-14_final
2021-04-14 10:21:47	ga_s2bm_ard_3-2-1_54KYF_2021-04-14_final
2021-04-14 10:21:51	ga_s2bm_ard_3-2-1_54KXF_2021-04-14_final
2021-04-14 10:21:55	ga_s2bm_ard_3-2-1_54KWF_2021-04-14_final
2021-04-14 10:22:10	ga_s2bm_ard_3-2-1_54KYD_2021-04-14_final
2021-04-14 10:22:34	ga_s2bm_ard_3-2-1_54KXC_2021-04-14_final
2021-04-14 10:22:41	ga_s2bm_ard_3-2-1_54KVC_2021-04-14_final
2021-04-14 10:22:44	ga_s2bm_ard_3-2-1_54KUC_2021-04-14_final
2021-04-14 10:22:49	ga_s2bm_ard_3-2-1_54KXB_2021-04-14_final
2021-04-14 10:22:53	ga_s2bm_ard_3-2-1_54KWB_2021-04-14_final
2021-04-14 10:22:56	ga_s2bm_ard_3-2-1_54KVB_2021-04-14_final
2021-04-14 10:23:02	ga_s2bm_ard_3-2-1_54KXA_2021-04-14_final
2021-04-14 10:23:07	ga_s2bm_ard_3-2-1_54KWA_2021-04-14_final
2021-04-14 10:23:10	ga_s2bm_ard_3-2-1_54KVA_2021-04-14_final
2021-04-14 10:23:13	ga_s2bm_ard_3-2-1_54KXV_2021-04-14_final
2021-04-14 10:23:28	ga_s2bm_ard_3-2-1_54KUV_2021-04-14_final
2021-04-14 10:23:33	ga_s2bm_ard_3-2-1_54KTV_2021-04-14_final
2021-04-14 10:23:43	ga_s2bm_ard_3-2-1_54KUU_2021-04-14_final
2021-04-14 10:23:46	ga_s2bm_ard_3-2-1_54KTU_2021-04-14_final
2021-04-14 10:23:51	ga_s2bm_ard_3-2-1_54JWT_2021-04-14_final
2021-04-14 10:23:54	ga_s2bm_ard_3-2-1_54JVT_2021-04-14_final
2021-04-14 10:23:57	ga_s2bm_ard_3-2-1_54JUT_2021-04-14_final
2021-04-14 10:24:00	ga_s2bm_ard_3-2-1_54JTT_2021-04-14_final
2021-04-14 10:24:05	ga_s2bm_ard_3-2-1_54JWS_2021-04-14_final
2021-04-14 10:24:09	ga_s2bm_ard_3-2-1_54JVS_2021-04-14_final
2021-04-14 10:24:15	ga_s2bm_ard_3-2-1_54JTS_2021-04-14_final
2021-04-14 10:24:30	ga_s2bm_ard_3-2-1_54JTR_2021-04-14_final
2021-04-14 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2021-04-14_final
2021-04-14 10:24:41	ga_s2bm_ard_3-2-1_54JUQ_2021-04-14_final
2021-04-14 10:24:49	ga_s2bm_ard_3-2-1_54JVP_2021-04-14_final
2021-04-14 10:25:10	ga_s2bm_ard_3-2-1_54JUN_2021-04-14_final
2021-04-14 10:25:25	ga_s2bm_ard_3-2-1_54JUM_2021-04-14_final
2021-04-14 10:25:36	ga_s2bm_ard_3-2-1_53JPG_2021-04-14_final
2021-04-14 10:25:43	ga_s2bm_ard_3-2-1_54JTL_2021-04-14_final
2021-04-14 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2021-04-14_final
2021-04-14 10:25:54	ga_s2bm_ard_3-2-1_54HUK_2021-04-14_final
2021-04-14 10:26:03	ga_s2bm_ard_3-2-1_53HPE_2021-04-14_final
2021-04-14 10:26:12	ga_s2bm_ard_3-2-1_54HTJ_2021-04-14_final
2021-04-14 10:26:23	ga_s2bm_ard_3-2-1_54HUH_2021-04-14_final
2021-04-14 10:26:32	ga_s2bm_ard_3-2-1_53HPC_2021-04-14_final
2021-04-14 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2021-04-14_final
2021-04-14 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2021-04-14_final
2021-04-14 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2021-04-14_final
2021-04-14 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2021-04-14_final
2021-04-14 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2021-04-14_final
2021-04-14 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-04-14_final
2021-04-14 12:03:40	ga_s2bm_ard_3-2-1_50KNA_2021-04-14_final
2021-04-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-04-14_final.stac-item
2021-04-14 12:03:48	ga_s2bm_ard_3-2-1_50KMA_2021-04-14_final
2021-04-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2021-04-14_final
2021-04-14 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2021-04-14_final
2021-04-14 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2021-04-14_final
2021-04-14 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final
2021-04-14 12:04:15	ga_s2bm_ard_3-2-1_50KLU_2021-04-14_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2021-04-14_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_50KKU_2021-04-14_final
2021-04-14 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final
2021-04-14 12:04:19	ga_s2bm_ard_3-2-1_49KGP_2021-04-14_final
2021-04-14 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2021-04-14_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2021-04-14_final
2021-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-04-14_final
2021-04-14 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2021-04-14_final
2021-04-14 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2021-04-14_final
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2021-04-14_final
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-14 12:04:41	ga_s2bm_ard_3-2-1_50JMS_2021-04-14_final
2021-04-14 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2021-04-14_final
2021-04-14 12:04:42	ga_s2bm_ard_3-2-1_50JLS_2021-04-14_final
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2021-04-14_final
2021-04-14 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-04-14_final
2021-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-14 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2021-04-14_final
2021-04-14 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2021-04-14_final
2021-04-14 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-14_final
2021-04-14 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-04-14_final
2021-04-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-04-14_final
2021-04-14 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-04-14_final
2021-04-14 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-04-14_final

Return to ga_s2bm_ard_3 on 14th April 2021 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

2021

April

14th