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
2020-06-08 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2020-06-08_final
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-08_final
2020-06-08 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-06-08_final
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final
2020-06-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-06-08_final
2020-06-08 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-06-08_final
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-08_final
2020-06-08 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-08_final
2020-06-08 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2020-06-08_final
2020-06-08 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2020-06-08_final
2020-06-09 09:51:14	ga_s2bm_ard_3-2-1_55LHC_2020-06-09_final.stac-item
2020-06-09 09:51:18	ga_s2bm_ard_3-2-1_55LGC_2020-06-09_final
2020-06-09 09:51:21	ga_s2bm_ard_3-2-1_55LFC_2020-06-09_final
2020-06-09 09:51:35	ga_s2bm_ard_3-2-1_55KFB_2020-06-09_final
2020-06-09 09:51:42	ga_s2bm_ard_3-2-1_56KKF_2020-06-09_final
2020-06-09 09:52:22	ga_s2bm_ard_3-2-1_55KEU_2020-06-09_final
2020-06-09 09:52:57	ga_s2bm_ard_3-2-1_55KDS_2020-06-09_final
2020-06-09 09:53:06	ga_s2bm_ard_3-2-1_55KER_2020-06-09_final
2020-06-09 09:53:09	ga_s2bm_ard_3-2-1_55KDR_2020-06-09_final
2020-06-09 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-06-09_final
2020-06-09 09:53:23	ga_s2bm_ard_3-2-1_55KDQ_2020-06-09_final
2020-06-09 09:53:27	ga_s2bm_ard_3-2-1_55KGP_2020-06-09_final
2020-06-09 09:54:04	ga_s2bm_ard_3-2-1_55JEM_2020-06-09_final
2020-06-09 09:54:07	ga_s2bm_ard_3-2-1_55JDM_2020-06-09_final
2020-06-09 09:54:40	ga_s2bm_ard_3-2-1_55JCK_2020-06-09_final
2020-06-09 09:54:42	ga_s2bm_ard_3-2-1_55JFJ_2020-06-09_final
2020-06-09 09:54:54	ga_s2bm_ard_3-2-1_55JCJ_2020-06-09_final
2020-06-09 09:55:02	ga_s2bm_ard_3-2-1_55JEH_2020-06-09_final
2020-06-09 09:55:05	ga_s2bm_ard_3-2-1_55JDH_2020-06-09_final
2020-06-09 09:55:10	ga_s2bm_ard_3-2-1_55JEH_2020-06-09_final
2020-06-09 09:55:11	ga_s2bm_ard_3-2-1_55JDH_2020-06-09_final
2020-06-09 09:55:13	ga_s2bm_ard_3-2-1_55JCH_2020-06-09_final
2020-06-09 09:55:41	ga_s2bm_ard_3-2-1_55JBF_2020-06-09_final
2020-06-09 09:55:45	ga_s2bm_ard_3-2-1_55HEE_2020-06-09_final
2020-06-09 09:55:49	ga_s2bm_ard_3-2-1_55HDE_2020-06-09_final
2020-06-09 09:55:52	ga_s2bm_ard_3-2-1_55HCE_2020-06-09_final
2020-06-09 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2020-06-09_final
2020-06-09 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2020-06-09_final
2020-06-09 09:56:18	ga_s2bm_ard_3-2-1_55HDC_2020-06-09_final
2020-06-09 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2020-06-09_final
2020-06-09 09:56:33	ga_s2bm_ard_3-2-1_55HDB_2020-06-09_final
2020-06-09 09:56:36	ga_s2bm_ard_3-2-1_55HCB_2020-06-09_final
2020-06-09 09:56:39	ga_s2bm_ard_3-2-1_55HBB_2020-06-09_final
2020-06-09 09:56:41	ga_s2bm_ard_3-2-1_54HYG_2020-06-09_final
2020-06-09 09:56:51	ga_s2bm_ard_3-2-1_55HCA_2020-06-09_final
2020-06-09 09:56:54	ga_s2bm_ard_3-2-1_55HBA_2020-06-09_final
2020-06-09 09:56:55	ga_s2bm_ard_3-2-1_54HYF_2020-06-09_final
2020-06-09 09:56:59	ga_s2bm_ard_3-2-1_54HXF_2020-06-09_final
2020-06-09 09:57:10	ga_s2bm_ard_3-2-1_55HDU_2020-06-09_final
2020-06-09 09:57:20	ga_s2bm_ard_3-2-1_55HCU_2020-06-09_final
2020-06-09 09:57:23	ga_s2bm_ard_3-2-1_55HBU_2020-06-09_final
2020-06-09 09:57:24	ga_s2bm_ard_3-2-1_54HYD_2020-06-09_final
2020-06-09 09:57:28	ga_s2bm_ard_3-2-1_54HXD_2020-06-09_final
2020-06-09 09:58:03	ga_s2bm_ard_3-2-1_55GCR_2020-06-09_final
2020-06-09 09:58:07	ga_s2bm_ard_3-2-1_55GBR_2020-06-09_final
2020-06-09 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2020-06-09_final
2020-06-09 09:58:16	ga_s2bm_ard_3-2-1_55GCQ_2020-06-09_final
2020-06-09 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-06-09_final.stac-item
2020-06-09 09:58:22	ga_s2bm_ard_3-2-1_54GYV_2020-06-09_final.stac-item
2020-06-09 09:58:26	ga_s2bm_ard_3-2-1_55GCP_2020-06-09_final
2020-06-09 11:31:20	ga_s2bm_ard_3-2-1_52LBK_2020-06-09_final
2020-06-09 11:31:23	ga_s2bm_ard_3-2-1_51LZE_2020-06-09_final
2020-06-09 11:31:26	ga_s2bm_ard_3-2-1_51LYE_2020-06-09_final
2020-06-09 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2020-06-09_final
2020-06-09 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2020-06-09_final
2020-06-09 11:31:41	ga_s2bm_ard_3-2-1_51LYD_2020-06-09_final
2020-06-09 11:31:51	ga_s2bm_ard_3-2-1_51LZC_2020-06-09_final
2020-06-09 11:31:55	ga_s2bm_ard_3-2-1_51LYC_2020-06-09_final
2020-06-09 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-09_final
2020-06-09 11:32:13	ga_s2bm_ard_3-2-1_51KXB_2020-06-09_final
2020-06-09 11:32:24	ga_s2bm_ard_3-2-1_51KYA_2020-06-09_final
2020-06-09 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2020-06-09_final
2020-06-09 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2020-06-09_final
2020-06-09 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2020-06-09_final
2020-06-09 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-06-09_final
2020-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2020-06-09_final
2020-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-06-09_final
2020-06-09 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-09_final
2020-06-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-09_final
2020-06-09 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-06-09_final
2020-06-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-09_final
2020-06-09 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-06-09_final
2020-06-09 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-06-09_final
2020-06-09 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2020-06-09_final
2020-06-09 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2020-06-09_final
2020-06-09 11:34:42	ga_s2bm_ard_3-2-1_51JWM_2020-06-09_final
2020-06-09 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2020-06-09_final
2020-06-09 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2020-06-09_final
2020-06-09 11:34:53	ga_s2bm_ard_3-2-1_51JVM_2020-06-09_final
2020-06-09 11:35:18	ga_s2bm_ard_3-2-1_51JUK_2020-06-09_final
2020-06-09 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2020-06-09_final
2020-06-09 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-06-09_final
2020-06-09 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-06-09_final
2020-06-09 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-06-09_final
2020-06-09 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-06-09_final
2020-06-09 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-09_final
2020-06-09 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-09_final
2020-06-09 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2020-06-09_final.stac-item
2020-06-09 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2020-06-09_final.stac-item
2020-06-09 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-06-09_final.stac-item

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