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
2021-05-14 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-05-14_final
2021-05-14 12:04:18	ga_s2bm_ard_3-2-1_50KLU_2021-05-14_final
2021-05-14 12:04:19	ga_s2bm_ard_3-2-1_50KKV_2021-05-14_final
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-05-14_final
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_50KKU_2021-05-14_final
2021-05-14 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2021-05-14_final
2021-05-14 12:04:25	ga_s2bm_ard_3-2-1_50KLU_2021-05-14_final
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2021-05-14_final
2021-05-14 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-05-14_final
2021-05-14 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final
2021-05-14 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final
2021-05-14 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2021-05-14_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-14 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-05-15 09:51:11	ga_s2bm_ard_3-2-1_55LHC_2021-05-15_final.stac-item
2021-05-15 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2021-05-15_final
2021-05-15 09:51:18	ga_s2bm_ard_3-2-1_55LFC_2021-05-15_final
2021-05-15 09:51:24	ga_s2bm_ard_3-2-1_56KKG_2021-05-15_final.stac-item
2021-05-15 09:51:29	ga_s2bm_ard_3-2-1_55KGB_2021-05-15_final
2021-05-15 09:51:32	ga_s2bm_ard_3-2-1_55KFB_2021-05-15_final
2021-05-15 09:51:39	ga_s2bm_ard_3-2-1_56KKF_2021-05-15_final
2021-05-15 09:51:47	ga_s2bm_ard_3-2-1_55KFA_2021-05-15_final
2021-05-15 09:52:05	ga_s2bm_ard_3-2-1_55KEV_2021-05-15_final
2021-05-15 09:52:16	ga_s2bm_ard_3-2-1_55KFU_2021-05-15_final
2021-05-15 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2021-05-15_final
2021-05-15 09:52:34	ga_s2bm_ard_3-2-1_55KHS_2021-05-15_final
2021-05-15 09:52:45	ga_s2bm_ard_3-2-1_55KFS_2021-05-15_final
2021-05-15 09:53:03	ga_s2bm_ard_3-2-1_55KER_2021-05-15_final
2021-05-15 09:53:06	ga_s2bm_ard_3-2-1_55KDR_2021-05-15_final
2021-05-15 09:53:10	ga_s2bm_ard_3-2-1_55KGQ_2021-05-15_final
2021-05-15 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-05-15_final
2021-05-15 09:53:20	ga_s2bm_ard_3-2-1_55KDQ_2021-05-15_final
2021-05-15 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2021-05-15_final
2021-05-15 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2021-05-15_final
2021-05-15 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2021-05-15_final
2021-05-15 09:54:01	ga_s2bm_ard_3-2-1_55JEM_2021-05-15_final
2021-05-15 09:54:04	ga_s2bm_ard_3-2-1_55JDM_2021-05-15_final
2021-05-15 09:54:08	ga_s2bm_ard_3-2-1_55JCM_2021-05-15_final
2021-05-15 09:56:07	ga_s2bm_ard_3-2-1_55HBD_2021-05-15_final
2021-05-15 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2021-05-15_final
2021-05-15 09:56:15	ga_s2bm_ard_3-2-1_55HDC_2021-05-15_final
2021-05-15 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2021-05-15_final
2021-05-15 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2021-05-15_final
2021-05-15 09:57:02	ga_s2bm_ard_3-2-1_55HCV_2021-05-15_final
2021-05-15 09:57:05	ga_s2bm_ard_3-2-1_55HBV_2021-05-15_final
2021-05-15 09:57:07	ga_s2bm_ard_3-2-1_54HYE_2021-05-15_final
2021-05-15 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2021-05-15_final
2021-05-15 09:57:13	ga_s2bm_ard_3-2-1_55HBV_2021-05-15_final
2021-05-15 09:57:14	ga_s2bm_ard_3-2-1_54HYE_2021-05-15_final
2021-05-15 09:57:15	ga_s2bm_ard_3-2-1_54HXE_2021-05-15_final
2021-05-15 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2021-05-15_final
2021-05-15 09:57:49	ga_s2bm_ard_3-2-1_55HBS_2021-05-15_final
2021-05-15 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-05-15_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_55GBR_2021-05-15_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2021-05-15_final
2021-05-15 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-05-15_final
2021-05-15 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2021-05-15_final.stac-item
2021-05-15 09:58:18	ga_s2bm_ard_3-2-1_54GYV_2021-05-15_final.stac-item
2021-05-15 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2021-05-15_final
2021-05-15 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2021-05-15_final
2021-05-15 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2021-05-15_final
2021-05-15 11:31:28	ga_s2bm_ard_3-2-1_52LBJ_2021-05-15_final
2021-05-15 11:31:30	ga_s2bm_ard_3-2-1_51LWE_2021-05-15_final
2021-05-15 11:31:34	ga_s2bm_ard_3-2-1_51LZD_2021-05-15_final
2021-05-15 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2021-05-15_final
2021-05-15 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2021-05-15_final
2021-05-15 11:31:52	ga_s2bm_ard_3-2-1_51LYC_2021-05-15_final
2021-05-15 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-05-15_final
2021-05-15 11:31:59	ga_s2bm_ard_3-2-1_51LWC_2021-05-15_final
2021-05-15 11:32:06	ga_s2bm_ard_3-2-1_51KYB_2021-05-15_final
2021-05-15 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2021-05-15_final
2021-05-15 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2021-05-15_final
2021-05-15 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-05-15_final
2021-05-15 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-05-15_final
2021-05-15 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2021-05-15_final
2021-05-15 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-05-15_final
2021-05-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-05-15_final
2021-05-15 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-05-15_final
2021-05-15 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-05-15_final
2021-05-15 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-05-15_final
2021-05-15 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2021-05-15_final
2021-05-15 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-05-15_final
2021-05-15 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-05-15_final
2021-05-15 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-05-15_final
2021-05-15 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-05-15_final
2021-05-15 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2021-05-15_final
2021-05-15 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-05-15_final
2021-05-15 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-05-15_final
2021-05-15 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-05-15_final
2021-05-15 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2021-05-15_final
2021-05-15 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-05-15_final
2021-05-15 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-05-15_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