Search ga_s2bm_ard_3 whole collection

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
2019-05-05 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-05-05_final
2019-05-05 12:06:10	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-05-05 12:06:14	ga_s2bm_ard_3-2-1_49JGH_2019-05-05_final.stac-item
2019-05-05 12:06:15	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-05-06 09:51:27	ga_s2bm_ard_3-2-1_55LFC_2019-05-06_final
2019-05-06 09:51:33	ga_s2bm_ard_3-2-1_56KKG_2019-05-06_final.stac-item
2019-05-06 09:51:34	ga_s2bm_ard_3-2-1_55KHB_2019-05-06_final.stac-item
2019-05-06 09:51:38	ga_s2bm_ard_3-2-1_55KGB_2019-05-06_final
2019-05-06 09:52:21	ga_s2bm_ard_3-2-1_55KGU_2019-05-06_final
2019-05-06 09:52:36	ga_s2bm_ard_3-2-1_55KGT_2019-05-06_final
2019-05-06 09:52:39	ga_s2bm_ard_3-2-1_55KFT_2019-05-06_final
2019-05-06 09:52:43	ga_s2bm_ard_3-2-1_55KET_2019-05-06_final
2019-05-06 09:52:43	ga_s2bm_ard_3-2-1_55KHS_2019-05-06_final
2019-05-06 09:52:50	ga_s2bm_ard_3-2-1_55KGS_2019-05-06_final
2019-05-06 09:53:19	ga_s2bm_ard_3-2-1_55KGQ_2019-05-06_final
2019-05-06 09:53:23	ga_s2bm_ard_3-2-1_55KFQ_2019-05-06_final
2019-05-06 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-05-06_final
2019-05-06 09:53:29	ga_s2bm_ard_3-2-1_55KDQ_2019-05-06_final
2019-05-06 09:53:37	ga_s2bm_ard_3-2-1_55KFP_2019-05-06_final
2019-05-06 09:53:44	ga_s2bm_ard_3-2-1_55KDP_2019-05-06_final
2019-05-06 09:53:52	ga_s2bm_ard_3-2-1_55JFN_2019-05-06_final
2019-05-06 09:53:55	ga_s2bm_ard_3-2-1_55JEN_2019-05-06_final
2019-05-06 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-05-06_final
2019-05-06 09:54:06	ga_s2bm_ard_3-2-1_55JCN_2019-05-06_final
2019-05-06 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-05-06_final
2019-05-06 09:54:35	ga_s2bm_ard_3-2-1_55JFK_2019-05-06_final
2019-05-06 09:54:39	ga_s2bm_ard_3-2-1_55JEK_2019-05-06_final
2019-05-06 09:54:42	ga_s2bm_ard_3-2-1_55JDK_2019-05-06_final
2019-05-06 09:54:46	ga_s2bm_ard_3-2-1_55JCK_2019-05-06_final
2019-05-06 09:54:58	ga_s2bm_ard_3-2-1_55JFH_2019-05-06_final
2019-05-06 09:55:15	ga_s2bm_ard_3-2-1_55JCH_2019-05-06_final
2019-05-06 09:55:29	ga_s2bm_ard_3-2-1_55JCG_2019-05-06_final
2019-05-06 09:55:47	ga_s2bm_ard_3-2-1_55JBF_2019-05-06_final
2019-05-06 09:55:58	ga_s2bm_ard_3-2-1_55HCE_2019-05-06_final
2019-05-06 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-05-06_final
2019-05-06 09:56:09	ga_s2bm_ard_3-2-1_55HDD_2019-05-06_final
2019-05-06 09:56:13	ga_s2bm_ard_3-2-1_55HCD_2019-05-06_final
2019-05-06 09:56:28	ga_s2bm_ard_3-2-1_55HCC_2019-05-06_final
2019-05-06 09:57:06	ga_s2bm_ard_3-2-1_55HDV_2019-05-06_final
2019-05-06 09:57:11	ga_s2bm_ard_3-2-1_55HCV_2019-05-06_final
2019-05-06 09:57:40	ga_s2bm_ard_3-2-1_55HCT_2019-05-06_final
2019-05-06 09:57:44	ga_s2bm_ard_3-2-1_55HBT_2019-05-06_final
2019-05-06 09:57:45	ga_s2bm_ard_3-2-1_54HYC_2019-05-06_final
2019-05-06 09:57:49	ga_s2bm_ard_3-2-1_54HXC_2019-05-06_final
2019-05-06 09:57:53	ga_s2bm_ard_3-2-1_54HWC_2019-05-06_final
2019-05-06 09:58:31	ga_s2bm_ard_3-2-1_55GCP_2019-05-06_final
2019-05-06 11:31:26	ga_s2bm_ard_3-2-1_52LBK_2019-05-06_final
2019-05-06 11:31:29	ga_s2bm_ard_3-2-1_51LZE_2019-05-06_final
2019-05-06 11:31:32	ga_s2bm_ard_3-2-1_51LYE_2019-05-06_final
2019-05-06 11:31:37	ga_s2bm_ard_3-2-1_52LBJ_2019-05-06_final
2019-05-06 11:31:39	ga_s2bm_ard_3-2-1_51LWE_2019-05-06_final
2019-05-06 11:31:43	ga_s2bm_ard_3-2-1_51LZD_2019-05-06_final
2019-05-06 11:31:47	ga_s2bm_ard_3-2-1_51LYD_2019-05-06_final
2019-05-06 11:31:50	ga_s2bm_ard_3-2-1_51LXD_2019-05-06_final
2019-05-06 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-05-06_final
2019-05-06 11:32:07	ga_s2bm_ard_3-2-1_51KZB_2019-05-06_final
2019-05-06 11:32:15	ga_s2bm_ard_3-2-1_51KYB_2019-05-06_final
2019-05-06 11:32:30	ga_s2bm_ard_3-2-1_51KYA_2019-05-06_final
2019-05-06 11:32:45	ga_s2bm_ard_3-2-1_51KYV_2019-05-06_final
2019-05-06 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2019-05-06_final
2019-05-06 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-05-06_final.stac-item
2019-05-06 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2019-05-06_final.stac-item
2019-05-06 11:32:51	ga_s2bm_ard_3-2-1_51KYV_2019-05-06_final
2019-05-06 11:32:52	ga_s2bm_ard_3-2-1_51KXV_2019-05-06_final
2019-05-06 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2019-05-06_final
2019-05-06 11:32:54	ga_s2bm_ard_3-2-1_51KWV_2019-05-06_final
2019-05-06 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-05-06_final
2019-05-06 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-05-06_final
2019-05-06 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-06_final
2019-05-06 11:33:31	ga_s2bm_ard_3-2-1_51KXS_2019-05-06_final
2019-05-06 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-05-06_final
2019-05-06 11:33:38	ga_s2bm_ard_3-2-1_51KVS_2019-05-06_final
2019-05-06 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-05-06_final
2019-05-06 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-05-06_final
2019-05-06 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-06_final
2019-05-06 11:34:00	ga_s2bm_ard_3-2-1_51KXQ_2019-05-06_final
2019-05-06 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-05-06_final
2019-05-06 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-05-06_final
2019-05-06 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-05-06_final
2019-05-06 11:34:13	ga_s2bm_ard_3-2-1_51KXP_2019-05-06_final
2019-05-06 11:34:23	ga_s2bm_ard_3-2-1_51JXN_2019-05-06_final
2019-05-06 11:34:26	ga_s2bm_ard_3-2-1_51KUP_2019-05-06_final
2019-05-06 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-05-06_final
2019-05-06 11:34:37	ga_s2bm_ard_3-2-1_51JVN_2019-05-06_final
2019-05-06 11:34:40	ga_s2bm_ard_3-2-1_51JUN_2019-05-06_final
2019-05-06 11:34:45	ga_s2bm_ard_3-2-1_50JRT_2019-05-06_final
2019-05-06 11:34:48	ga_s2bm_ard_3-2-1_51JWM_2019-05-06_final
2019-05-06 11:34:54	ga_s2bm_ard_3-2-1_51JUM_2019-05-06_final
2019-05-06 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-05-06_final
2019-05-06 11:35:24	ga_s2bm_ard_3-2-1_51JUK_2019-05-06_final
2019-05-06 11:35:53	ga_s2bm_ard_3-2-1_51JUH_2019-05-06_final
2019-05-06 11:36:07	ga_s2bm_ard_3-2-1_51JUG_2019-05-06_final
2019-05-06 11:36:25	ga_s2bm_ard_3-2-1_51JTF_2019-05-06_final
2019-05-06 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-06_final
2019-05-06 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2019-05-06_final
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final
2019-05-06 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-06_final
2019-05-06 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-06_final
2019-05-06 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-05-06_final
2019-05-06 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-06_final

Return to ga_s2bm_ard_3 whole collection 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

All years