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
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-10-11_final
2021-10-11 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-10-11_final
2021-10-11 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-10-11_final
2021-10-11 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-10-11 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-10-11_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-10-11_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_49JFM_2021-10-11_final
2021-10-11 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-10-11_final
2021-10-11 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-11_final
2021-10-11 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2021-10-11_final.stac-item
2021-10-12 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2021-10-12_final.stac-item
2021-10-12 09:51:16	ga_s2bm_ard_3-2-1_55LGC_2021-10-12_final
2021-10-12 09:51:27	ga_s2bm_ard_3-2-1_55KHB_2021-10-12_final.stac-item
2021-10-12 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2021-10-12_final
2021-10-12 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2021-10-12_final
2021-10-12 09:53:05	ga_s2bm_ard_3-2-1_55KER_2021-10-12_final
2021-10-12 09:53:08	ga_s2bm_ard_3-2-1_55KDR_2021-10-12_final
2021-10-12 09:53:30	ga_s2bm_ard_3-2-1_55KFP_2021-10-12_final
2021-10-12 09:53:38	ga_s2bm_ard_3-2-1_55JGN_2021-10-12_final
2021-10-12 09:53:45	ga_s2bm_ard_3-2-1_55JFN_2021-10-12_final
2021-10-12 09:53:48	ga_s2bm_ard_3-2-1_55JEN_2021-10-12_final
2021-10-12 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2021-10-12_final
2021-10-12 09:53:59	ga_s2bm_ard_3-2-1_55JFM_2021-10-12_final
2021-10-12 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-10-12_final
2021-10-12 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2021-10-12_final
2021-10-12 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2021-10-12_final
2021-10-12 09:54:28	ga_s2bm_ard_3-2-1_55JFK_2021-10-12_final
2021-10-12 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2021-10-12_final
2021-10-12 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2021-10-12_final
2021-10-12 09:54:46	ga_s2bm_ard_3-2-1_55JEJ_2021-10-12_final
2021-10-12 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2021-10-12_final
2021-10-12 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2021-10-12_final
2021-10-12 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2021-10-12_final
2021-10-12 09:55:29	ga_s2bm_ard_3-2-1_55JEF_2021-10-12_final
2021-10-12 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2021-10-12_final
2021-10-12 09:55:36	ga_s2bm_ard_3-2-1_55JEF_2021-10-12_final
2021-10-12 09:55:37	ga_s2bm_ard_3-2-1_55JDF_2021-10-12_final
2021-10-12 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2021-10-12_final
2021-10-12 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2021-10-12_final
2021-10-12 09:56:09	ga_s2bm_ard_3-2-1_55HBD_2021-10-12_final
2021-10-12 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2021-10-12_final
2021-10-12 09:56:17	ga_s2bm_ard_3-2-1_55HDC_2021-10-12_final
2021-10-12 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2021-10-12_final
2021-10-12 09:56:26	ga_s2bm_ard_3-2-1_54HYH_2021-10-12_final
2021-10-12 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2021-10-12_final
2021-10-12 09:56:38	ga_s2bm_ard_3-2-1_55HBB_2021-10-12_final
2021-10-12 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2021-10-12_final
2021-10-12 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2021-10-12_final
2021-10-12 09:56:59	ga_s2bm_ard_3-2-1_55HDV_2021-10-12_final
2021-10-12 09:57:04	ga_s2bm_ard_3-2-1_55HCV_2021-10-12_final
2021-10-12 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2021-10-12_final
2021-10-12 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2021-10-12_final
2021-10-12 09:57:12	ga_s2bm_ard_3-2-1_54HXE_2021-10-12_final
2021-10-12 09:57:19	ga_s2bm_ard_3-2-1_55HCU_2021-10-12_final
2021-10-12 09:57:27	ga_s2bm_ard_3-2-1_54HXD_2021-10-12_final
2021-10-12 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2021-10-12_final
2021-10-12 09:57:51	ga_s2bm_ard_3-2-1_55HBS_2021-10-12_final
2021-10-12 09:57:52	ga_s2bm_ard_3-2-1_54HYB_2021-10-12_final
2021-10-12 09:58:06	ga_s2bm_ard_3-2-1_54GYA_2021-10-12_final
2021-10-12 09:58:14	ga_s2bm_ard_3-2-1_55GCQ_2021-10-12_final
2021-10-12 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2021-10-12_final.stac-item
2021-10-12 09:58:20	ga_s2bm_ard_3-2-1_54GYV_2021-10-12_final.stac-item
2021-10-12 09:58:24	ga_s2bm_ard_3-2-1_55GCP_2021-10-12_final
2021-10-12 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2021-10-12_final
2021-10-12 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2021-10-12_final
2021-10-12 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2021-10-12_final
2021-10-12 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2021-10-12_final
2021-10-12 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2021-10-12_final
2021-10-12 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2021-10-12_final
2021-10-12 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2021-10-12_final
2021-10-12 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-10-12_final
2021-10-12 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-10-12_final
2021-10-12 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-10-12_final
2021-10-12 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-10-12_final
2021-10-12 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-10-12_final
2021-10-12 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-10-12_final
2021-10-12 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-10-12_final
2021-10-12 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-10-12_final
2021-10-12 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2021-10-12_final
2021-10-12 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2021-10-12_final
2021-10-12 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2021-10-12_final
2021-10-12 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-10-12_final
2021-10-12 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2021-10-12_final
2021-10-12 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2021-10-12_final
2021-10-12 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-10-12_final
2021-10-12 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2021-10-12_final
2021-10-12 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2021-10-12_final
2021-10-12 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2021-10-12_final
2021-10-12 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2021-10-12_final
2021-10-12 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2021-10-12_final
2021-10-12 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2021-10-12_final
2021-10-12 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2021-10-12_final
2021-10-12 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-10-12_final
2021-10-12 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-10-12_final
2021-10-12 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-12_final
2021-10-12 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-12_final
2021-10-12 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2021-10-12_final.stac-item
2021-10-12 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2021-10-12_final.stac-item
2021-10-12 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-10-12_final.stac-item
2021-10-12 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-12_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