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
2021-12-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-12-30_final
2021-12-30 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-12-30_final
2021-12-30 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-12-30_final
2021-12-30 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2021-12-30_final
2021-12-30 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2021-12-30_final
2021-12-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2021-12-30_final
2021-12-30 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-12-30_final
2021-12-30 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2021-12-30_final.stac-item
2021-12-30 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-12-30_final
2021-12-30 12:06:10	ga_s2bm_ard_3-2-1_50JLL_2021-12-30_final
2021-12-31 09:51:22	ga_s2bm_ard_3-2-1_55KHB_2021-12-31_final.stac-item
2021-12-31 09:51:36	ga_s2bm_ard_3-2-1_56KKF_2021-12-31_final
2021-12-31 09:52:27	ga_s2bm_ard_3-2-1_55KFT_2021-12-31_final
2021-12-31 09:52:31	ga_s2bm_ard_3-2-1_55KET_2021-12-31_final
2021-12-31 09:52:56	ga_s2bm_ard_3-2-1_55KFR_2021-12-31_final
2021-12-31 09:53:00	ga_s2bm_ard_3-2-1_55KER_2021-12-31_final
2021-12-31 09:53:03	ga_s2bm_ard_3-2-1_55KDR_2021-12-31_final
2021-12-31 09:53:11	ga_s2bm_ard_3-2-1_55KFQ_2021-12-31_final
2021-12-31 09:53:14	ga_s2bm_ard_3-2-1_55KEQ_2021-12-31_final
2021-12-31 09:53:17	ga_s2bm_ard_3-2-1_55KDQ_2021-12-31_final
2021-12-31 09:53:29	ga_s2bm_ard_3-2-1_55KEP_2021-12-31_final
2021-12-31 09:53:32	ga_s2bm_ard_3-2-1_55KDP_2021-12-31_final
2021-12-31 09:53:43	ga_s2bm_ard_3-2-1_55JEN_2021-12-31_final
2021-12-31 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2021-12-31_final
2021-12-31 09:54:05	ga_s2bm_ard_3-2-1_55JCM_2021-12-31_final
2021-12-31 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2021-12-31_final
2021-12-31 09:54:12	ga_s2bm_ard_3-2-1_55JEL_2021-12-31_final
2021-12-31 09:54:16	ga_s2bm_ard_3-2-1_55JDL_2021-12-31_final
2021-12-31 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2021-12-31_final
2021-12-31 09:54:36	ga_s2bm_ard_3-2-1_55JFJ_2021-12-31_final
2021-12-31 09:54:48	ga_s2bm_ard_3-2-1_55JCJ_2021-12-31_final
2021-12-31 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2021-12-31_final
2021-12-31 09:55:10	ga_s2bm_ard_3-2-1_55JEG_2021-12-31_final
2021-12-31 09:55:14	ga_s2bm_ard_3-2-1_55JDG_2021-12-31_final
2021-12-31 09:55:20	ga_s2bm_ard_3-2-1_55JBG_2021-12-31_final
2021-12-31 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2021-12-31_final
2021-12-31 09:55:38	ga_s2bm_ard_3-2-1_55HEE_2021-12-31_final
2021-12-31 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2021-12-31_final
2021-12-31 09:55:49	ga_s2bm_ard_3-2-1_55HBE_2021-12-31_final
2021-12-31 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2021-12-31_final
2021-12-31 09:56:33	ga_s2bm_ard_3-2-1_55HBB_2021-12-31_final
2021-12-31 09:56:35	ga_s2bm_ard_3-2-1_54HYG_2021-12-31_final
2021-12-31 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2021-12-31_final
2021-12-31 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2021-12-31_final
2021-12-31 09:56:48	ga_s2bm_ard_3-2-1_55HBA_2021-12-31_final
2021-12-31 09:56:49	ga_s2bm_ard_3-2-1_54HYF_2021-12-31_final
2021-12-31 09:56:53	ga_s2bm_ard_3-2-1_54HXF_2021-12-31_final
2021-12-31 09:56:59	ga_s2bm_ard_3-2-1_54HXF_2021-12-31_final
2021-12-31 09:57:04	ga_s2bm_ard_3-2-1_55HDU_2021-12-31_final
2021-12-31 09:57:13	ga_s2bm_ard_3-2-1_55HCU_2021-12-31_final
2021-12-31 09:57:17	ga_s2bm_ard_3-2-1_55HBU_2021-12-31_final
2021-12-31 09:57:18	ga_s2bm_ard_3-2-1_54HYD_2021-12-31_final
2021-12-31 09:57:22	ga_s2bm_ard_3-2-1_54HXD_2021-12-31_final
2021-12-31 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2021-12-31_final
2021-12-31 09:57:46	ga_s2bm_ard_3-2-1_55HBS_2021-12-31_final
2021-12-31 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2021-12-31_final
2021-12-31 11:31:55	ga_s2bm_ard_3-2-1_51KZB_2021-12-31_final
2021-12-31 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2021-12-31_final
2021-12-31 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2021-12-31_final
2021-12-31 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-12-31_final
2021-12-31 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-12-31_final
2021-12-31 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-31_final
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final
2021-12-31 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2021-12-31_final
2021-12-31 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-12-31_final
2021-12-31 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-12-31_final
2021-12-31 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2021-12-31_final
2021-12-31 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2021-12-31_final
2021-12-31 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2021-12-31_final
2021-12-31 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2021-12-31_final
2021-12-31 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2021-12-31_final
2021-12-31 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2021-12-31_final
2021-12-31 11:34:35	ga_s2bm_ard_3-2-1_51JWM_2021-12-31_final
2021-12-31 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2021-12-31_final
2021-12-31 11:34:42	ga_s2bm_ard_3-2-1_51JUM_2021-12-31_final
2021-12-31 11:34:50	ga_s2bm_ard_3-2-1_51JWL_2021-12-31_final
2021-12-31 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2021-12-31_final
2021-12-31 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2021-12-31_final
2021-12-31 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2021-12-31_final
2021-12-31 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2021-12-31_final
2021-12-31 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2021-12-31_final
2021-12-31 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2021-12-31_final
2021-12-31 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-12-31_final
2021-12-31 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2021-12-31_final
2021-12-31 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2021-12-31_final
2021-12-31 11:35:58	ga_s2bm_ard_3-2-1_51JTG_2021-12-31_final
2021-12-31 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2021-12-31_final
2021-12-31 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2021-12-31_final
2021-12-31 11:36:19	ga_s2bm_ard_3-2-1_51HVE_2021-12-31_final
2021-12-31 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2021-12-31_final
2021-12-31 11:36:24	ga_s2bm_ard_3-2-1_51HTE_2021-12-31_final
2021-12-31 11:36:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2021-12-31_final
2021-12-31 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2021-12-31_final
2021-12-31 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-12-31_final
2021-12-31 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final
2021-12-31 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2021-12-31_final.stac-item
2021-12-31 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2021-12-31_final.stac-item
2021-12-31 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-31_final.stac-item
2021-12-31 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2021-12-31_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