Search ga_s2bm_ard_3 on 28th 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
2020-06-28 10:20:09	ga_s2bm_ard_3-2-1_54LZN_2020-06-28_final
2020-06-28 10:20:13	ga_s2bm_ard_3-2-1_54LYN_2020-06-28_final
2020-06-28 10:20:16	ga_s2bm_ard_3-2-1_54LXN_2020-06-28_final
2020-06-28 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2020-06-28_final
2020-06-28 10:20:41	ga_s2bm_ard_3-2-1_54LYL_2020-06-28_final
2020-06-28 10:20:45	ga_s2bm_ard_3-2-1_54LXL_2020-06-28_final
2020-06-28 10:20:52	ga_s2bm_ard_3-2-1_54LZK_2020-06-28_final
2020-06-28 10:20:56	ga_s2bm_ard_3-2-1_54LYK_2020-06-28_final
2020-06-28 10:21:03	ga_s2bm_ard_3-2-1_54LZJ_2020-06-28_final
2020-06-28 10:21:10	ga_s2bm_ard_3-2-1_54LYJ_2020-06-28_final
2020-06-28 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2020-06-28_final
2020-06-28 10:21:23	ga_s2bm_ard_3-2-1_54LVJ_2020-06-28_final.stac-item
2020-06-28 10:21:25	ga_s2bm_ard_3-2-1_54LYH_2020-06-28_final
2020-06-28 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2020-06-28_final
2020-06-28 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2020-06-28_final
2020-06-28 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2020-06-28_final
2020-06-28 10:21:43	ga_s2bm_ard_3-2-1_54KXG_2020-06-28_final
2020-06-28 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2020-06-28_final
2020-06-28 10:21:49	ga_s2bm_ard_3-2-1_54KVG_2020-06-28_final
2020-06-28 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2020-06-28_final
2020-06-28 10:22:01	ga_s2bm_ard_3-2-1_54KWF_2020-06-28_final
2020-06-28 10:22:04	ga_s2bm_ard_3-2-1_54KVF_2020-06-28_final
2020-06-28 10:22:12	ga_s2bm_ard_3-2-1_54KXE_2020-06-28_final
2020-06-28 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2020-06-28_final
2020-06-28 10:22:16	ga_s2bm_ard_3-2-1_54KYD_2020-06-28_final
2020-06-28 10:22:19	ga_s2bm_ard_3-2-1_54KVE_2020-06-28_final
2020-06-28 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2020-06-28_final
2020-06-28 10:22:26	ga_s2bm_ard_3-2-1_54KUE_2020-06-28_final
2020-06-28 10:22:30	ga_s2bm_ard_3-2-1_54KWD_2020-06-28_final
2020-06-28 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2020-06-28_final
2020-06-28 10:22:37	ga_s2bm_ard_3-2-1_54KUD_2020-06-28_final
2020-06-28 10:22:59	ga_s2bm_ard_3-2-1_54KWB_2020-06-28_final
2020-06-28 10:23:06	ga_s2bm_ard_3-2-1_54KWB_2020-06-28_final
2020-06-28 10:23:07	ga_s2bm_ard_3-2-1_54KWA_2020-06-28_final
2020-06-28 10:23:08	ga_s2bm_ard_3-2-1_54KVA_2020-06-28_final
2020-06-28 10:23:14	ga_s2bm_ard_3-2-1_54KWA_2020-06-28_final
2020-06-28 10:23:17	ga_s2bm_ard_3-2-1_54KVA_2020-06-28_final
2020-06-28 10:24:06	ga_s2bm_ard_3-2-1_54JTT_2020-06-28_final
2020-06-28 10:24:33	ga_s2bm_ard_3-2-1_54JUR_2020-06-28_final
2020-06-28 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2020-06-28_final
2020-06-28 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2020-06-28_final
2020-06-28 10:24:44	ga_s2bm_ard_3-2-1_54JVQ_2020-06-28_final
2020-06-28 10:24:47	ga_s2bm_ard_3-2-1_54JUQ_2020-06-28_final
2020-06-28 10:24:50	ga_s2bm_ard_3-2-1_54JTQ_2020-06-28_final
2020-06-28 10:24:54	ga_s2bm_ard_3-2-1_53JQK_2020-06-28_final
2020-06-28 10:24:58	ga_s2bm_ard_3-2-1_54JVP_2020-06-28_final
2020-06-28 10:25:02	ga_s2bm_ard_3-2-1_54JUP_2020-06-28_final
2020-06-28 10:25:05	ga_s2bm_ard_3-2-1_54JTP_2020-06-28_final
2020-06-28 10:25:08	ga_s2bm_ard_3-2-1_53JQJ_2020-06-28_final
2020-06-28 10:25:13	ga_s2bm_ard_3-2-1_54JVN_2020-06-28_final
2020-06-28 10:25:17	ga_s2bm_ard_3-2-1_54JUN_2020-06-28_final
2020-06-28 10:25:20	ga_s2bm_ard_3-2-1_54JTN_2020-06-28_final
2020-06-28 10:25:22	ga_s2bm_ard_3-2-1_53JQH_2020-06-28_final
2020-06-28 10:25:31	ga_s2bm_ard_3-2-1_54JUM_2020-06-28_final
2020-06-28 10:25:34	ga_s2bm_ard_3-2-1_54JTM_2020-06-28_final
2020-06-28 10:25:37	ga_s2bm_ard_3-2-1_53JQG_2020-06-28_final
2020-06-28 10:25:42	ga_s2bm_ard_3-2-1_53JPG_2020-06-28_final
2020-06-28 10:25:45	ga_s2bm_ard_3-2-1_54JUL_2020-06-28_final
2020-06-28 10:25:49	ga_s2bm_ard_3-2-1_54JTL_2020-06-28_final
2020-06-28 10:25:51	ga_s2bm_ard_3-2-1_53JQF_2020-06-28_final
2020-06-28 10:26:03	ga_s2bm_ard_3-2-1_54HTK_2020-06-28_final
2020-06-28 10:26:06	ga_s2bm_ard_3-2-1_53HQE_2020-06-28_final
2020-06-28 10:26:15	ga_s2bm_ard_3-2-1_54HUJ_2020-06-28_final
2020-06-28 10:26:24	ga_s2bm_ard_3-2-1_53HPD_2020-06-28_final
2020-06-28 10:26:29	ga_s2bm_ard_3-2-1_54HUH_2020-06-28_final
2020-06-28 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2020-06-28_final
2020-06-28 10:26:43	ga_s2bm_ard_3-2-1_54HUG_2020-06-28_final
2020-06-28 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2020-06-28_final
2020-06-28 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2020-06-28_final
2020-06-28 10:26:53	ga_s2bm_ard_3-2-1_53HPB_2020-06-28_final
2020-06-28 10:26:53	ga_s2bm_ard_3-2-1_54HUF_2020-06-28_final
2020-06-28 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2020-06-28_final
2020-06-28 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2020-06-28_final
2020-06-28 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-06-28_final
2020-06-28 10:27:14	ga_s2bm_ard_3-2-1_54HTE_2020-06-28_final.stac-item
2020-06-28 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2020-06-28_final.stac-item
2020-06-28 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2020-06-28_final
2020-06-28 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-06-28_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-28_final
2020-06-28 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-28_final
2020-06-28 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-06-28_final
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-06-28 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2020-06-28_final
2020-06-28 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-28_final
2020-06-28 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-28_final
2020-06-28 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-06-28_final
2020-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2020-06-28_final
2020-06-28 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-06-28_final
2020-06-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-28_final
2020-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-28_final
2020-06-28 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-06-28_final
2020-06-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-28_final
2020-06-28 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-06-28_final
2020-06-28 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-06-28_final.stac-item
2020-06-28 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2020-06-28_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKN_2020-06-28_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final
2020-06-28 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2020-06-28_final.stac-item
2020-06-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-28_final
2020-06-28 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final

Return to ga_s2bm_ard_3 on 28th 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

28th