Search ga_s2bm_ard_3 on 29th 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
2020-06-29 09:51:14	ga_s2bm_ard_3-2-1_55LHC_2020-06-29_final.stac-item
2020-06-29 09:51:18	ga_s2bm_ard_3-2-1_55LGC_2020-06-29_final
2020-06-29 09:51:29	ga_s2bm_ard_3-2-1_55KHB_2020-06-29_final.stac-item
2020-06-29 09:51:50	ga_s2bm_ard_3-2-1_55KFA_2020-06-29_final
2020-06-29 09:52:22	ga_s2bm_ard_3-2-1_55KEU_2020-06-29_final
2020-06-29 09:52:30	ga_s2bm_ard_3-2-1_55KGT_2020-06-29_final
2020-06-29 09:52:52	ga_s2bm_ard_3-2-1_55KES_2020-06-29_final
2020-06-29 09:52:58	ga_s2bm_ard_3-2-1_55KDS_2020-06-29_final
2020-06-29 09:53:40	ga_s2bm_ard_3-2-1_55JGN_2020-06-29_final
2020-06-29 09:53:50	ga_s2bm_ard_3-2-1_55JEN_2020-06-29_final
2020-06-29 09:53:50	ga_s2bm_ard_3-2-1_55JGM_2020-06-29_final
2020-06-29 09:53:53	ga_s2bm_ard_3-2-1_55JDN_2020-06-29_final
2020-06-29 09:54:00	ga_s2bm_ard_3-2-1_55JFM_2020-06-29_final
2020-06-29 09:54:08	ga_s2bm_ard_3-2-1_55JDM_2020-06-29_final
2020-06-29 09:54:11	ga_s2bm_ard_3-2-1_55JCM_2020-06-29_final
2020-06-29 09:54:15	ga_s2bm_ard_3-2-1_55JFL_2020-06-29_final
2020-06-29 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2020-06-29_final
2020-06-29 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2020-06-29_final
2020-06-29 09:54:25	ga_s2bm_ard_3-2-1_55JCL_2020-06-29_final
2020-06-29 09:54:30	ga_s2bm_ard_3-2-1_55JFK_2020-06-29_final
2020-06-29 09:54:33	ga_s2bm_ard_3-2-1_55JEK_2020-06-29_final
2020-06-29 09:54:37	ga_s2bm_ard_3-2-1_55JDK_2020-06-29_final
2020-06-29 09:54:40	ga_s2bm_ard_3-2-1_55JCK_2020-06-29_final
2020-06-29 09:54:43	ga_s2bm_ard_3-2-1_55JFJ_2020-06-29_final
2020-06-29 09:54:48	ga_s2bm_ard_3-2-1_55JEJ_2020-06-29_final
2020-06-29 09:54:51	ga_s2bm_ard_3-2-1_55JDJ_2020-06-29_final
2020-06-29 09:54:53	ga_s2bm_ard_3-2-1_55JFH_2020-06-29_final
2020-06-29 09:54:55	ga_s2bm_ard_3-2-1_55JCJ_2020-06-29_final
2020-06-29 09:55:07	ga_s2bm_ard_3-2-1_55JCH_2020-06-29_final
2020-06-29 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2020-06-29_final
2020-06-29 09:55:12	ga_s2bm_ard_3-2-1_55JDG_2020-06-29_final
2020-06-29 09:55:14	ga_s2bm_ard_3-2-1_55JCH_2020-06-29_final
2020-06-29 09:55:16	ga_s2bm_ard_3-2-1_55JBH_2020-06-29_final
2020-06-29 09:55:20	ga_s2bm_ard_3-2-1_55JDG_2020-06-29_final
2020-06-29 09:55:23	ga_s2bm_ard_3-2-1_55JCG_2020-06-29_final
2020-06-29 09:55:27	ga_s2bm_ard_3-2-1_55JBG_2020-06-29_final
2020-06-29 09:55:41	ga_s2bm_ard_3-2-1_55JBF_2020-06-29_final
2020-06-29 09:55:53	ga_s2bm_ard_3-2-1_55HCE_2020-06-29_final
2020-06-29 09:56:07	ga_s2bm_ard_3-2-1_55HCD_2020-06-29_final
2020-06-29 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2020-06-29_final
2020-06-29 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2020-06-29_final
2020-06-29 09:56:18	ga_s2bm_ard_3-2-1_55HDC_2020-06-29_final
2020-06-29 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2020-06-29_final
2020-06-29 09:56:51	ga_s2bm_ard_3-2-1_55HCA_2020-06-29_final
2020-06-29 09:57:00	ga_s2bm_ard_3-2-1_54HXF_2020-06-29_final
2020-06-29 09:57:00	ga_s2bm_ard_3-2-1_55HDV_2020-06-29_final
2020-06-29 09:57:09	ga_s2bm_ard_3-2-1_55HBV_2020-06-29_final
2020-06-29 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2020-06-29_final
2020-06-29 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2020-06-29_final
2020-06-29 09:58:03	ga_s2bm_ard_3-2-1_55GCR_2020-06-29_final
2020-06-29 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2020-06-29_final
2020-06-29 09:58:16	ga_s2bm_ard_3-2-1_55GCQ_2020-06-29_final
2020-06-29 09:58:22	ga_s2bm_ard_3-2-1_55GBQ_2020-06-29_final.stac-item
2020-06-29 09:58:22	ga_s2bm_ard_3-2-1_54GYV_2020-06-29_final.stac-item
2020-06-29 11:31:20	ga_s2bm_ard_3-2-1_52LBK_2020-06-29_final
2020-06-29 11:31:27	ga_s2bm_ard_3-2-1_51LYE_2020-06-29_final
2020-06-29 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2020-06-29_final
2020-06-29 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2020-06-29_final
2020-06-29 11:31:41	ga_s2bm_ard_3-2-1_51LYD_2020-06-29_final
2020-06-29 11:31:51	ga_s2bm_ard_3-2-1_51LZC_2020-06-29_final
2020-06-29 11:31:55	ga_s2bm_ard_3-2-1_51LYC_2020-06-29_final
2020-06-29 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-29_final
2020-06-29 11:32:02	ga_s2bm_ard_3-2-1_51KZB_2020-06-29_final
2020-06-29 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2020-06-29_final
2020-06-29 11:32:48	ga_s2bm_ard_3-2-1_51KXV_2020-06-29_final
2020-06-29 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2020-06-29_final
2020-06-29 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2020-06-29_final
2020-06-29 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-06-29_final
2020-06-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-06-29_final
2020-06-29 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-29_final
2020-06-29 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-29_final
2020-06-29 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-06-29_final
2020-06-29 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2020-06-29_final
2020-06-29 11:34:31	ga_s2bm_ard_3-2-1_51JVN_2020-06-29_final
2020-06-29 11:34:38	ga_s2bm_ard_3-2-1_51JTN_2020-06-29_final
2020-06-29 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2020-06-29_final
2020-06-29 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2020-06-29_final
2020-06-29 11:35:06	ga_s2bm_ard_3-2-1_51JTL_2020-06-29_final
2020-06-29 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2020-06-29_final
2020-06-29 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2020-06-29_final
2020-06-29 11:35:18	ga_s2bm_ard_3-2-1_51JUK_2020-06-29_final
2020-06-29 11:35:22	ga_s2bm_ard_3-2-1_51JWJ_2020-06-29_final
2020-06-29 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2020-06-29_final
2020-06-29 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2020-06-29_final
2020-06-29 11:35:47	ga_s2bm_ard_3-2-1_51JUH_2020-06-29_final
2020-06-29 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2020-06-29_final
2020-06-29 11:35:53	ga_s2bm_ard_3-2-1_50JQN_2020-06-29_final
2020-06-29 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2020-06-29_final
2020-06-29 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2020-06-29_final
2020-06-29 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2020-06-29_final
2020-06-29 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-06-29_final
2020-06-29 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-06-29_final
2020-06-29 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2020-06-29_final
2020-06-29 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2020-06-29_final
2020-06-29 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-29_final
2020-06-29 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-06-29_final
2020-06-29 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-06-29_final
2020-06-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-29_final
2020-06-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-29_final
2020-06-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-29_final

Return to ga_s2bm_ard_3 on 29th 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

29th