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
2021-09-11 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2021-09-11 12:04:43	ga_s2bm_ard_3-2-1_50JLS_2021-09-11_final
2021-09-11 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2021-09-11 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2021-09-11_final
2021-09-11 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-09-11_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-11 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-09-11_final
2021-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2021-09-11_final
2021-09-11 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-11_final
2021-09-11 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-09-11_final
2021-09-11 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-09-11_final
2021-09-12 09:51:08	ga_s2bm_ard_3-2-1_55LHC_2021-09-12_final.stac-item
2021-09-12 09:51:12	ga_s2bm_ard_3-2-1_55LGC_2021-09-12_final
2021-09-12 09:51:30	ga_s2bm_ard_3-2-1_55KFB_2021-09-12_final
2021-09-12 09:52:13	ga_s2bm_ard_3-2-1_55KFU_2021-09-12_final
2021-09-12 09:52:16	ga_s2bm_ard_3-2-1_55KEU_2021-09-12_final
2021-09-12 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2021-09-12_final
2021-09-12 09:53:18	ga_s2bm_ard_3-2-1_55KDQ_2021-09-12_final
2021-09-12 09:53:29	ga_s2bm_ard_3-2-1_55KEP_2021-09-12_final
2021-09-12 09:53:34	ga_s2bm_ard_3-2-1_55JGN_2021-09-12_final
2021-09-12 09:53:44	ga_s2bm_ard_3-2-1_55JEN_2021-09-12_final
2021-09-12 09:53:44	ga_s2bm_ard_3-2-1_55JGM_2021-09-12_final
2021-09-12 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2021-09-12_final
2021-09-12 09:53:54	ga_s2bm_ard_3-2-1_55JCN_2021-09-12_final
2021-09-12 09:53:54	ga_s2bm_ard_3-2-1_55JFM_2021-09-12_final
2021-09-12 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2021-09-12_final
2021-09-12 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2021-09-12_final
2021-09-12 09:54:16	ga_s2bm_ard_3-2-1_55JDL_2021-09-12_final
2021-09-12 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2021-09-12_final
2021-09-12 09:54:24	ga_s2bm_ard_3-2-1_55JFK_2021-09-12_final
2021-09-12 09:54:27	ga_s2bm_ard_3-2-1_55JEK_2021-09-12_final
2021-09-12 09:54:31	ga_s2bm_ard_3-2-1_55JDK_2021-09-12_final
2021-09-12 09:54:34	ga_s2bm_ard_3-2-1_55JCK_2021-09-12_final
2021-09-12 09:54:47	ga_s2bm_ard_3-2-1_55JFH_2021-09-12_final
2021-09-12 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2021-09-12_final
2021-09-12 09:55:20	ga_s2bm_ard_3-2-1_55JBG_2021-09-12_final
2021-09-12 09:55:25	ga_s2bm_ard_3-2-1_55JEF_2021-09-12_final
2021-09-12 09:55:29	ga_s2bm_ard_3-2-1_55JDF_2021-09-12_final
2021-09-12 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2021-09-12_final
2021-09-12 09:55:35	ga_s2bm_ard_3-2-1_55JBF_2021-09-12_final
2021-09-12 09:55:39	ga_s2bm_ard_3-2-1_55HEE_2021-09-12_final
2021-09-12 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2021-09-12_final
2021-09-12 09:55:47	ga_s2bm_ard_3-2-1_55HCE_2021-09-12_final
2021-09-12 09:55:50	ga_s2bm_ard_3-2-1_55HBE_2021-09-12_final
2021-09-12 09:55:51	ga_s2bm_ard_3-2-1_55HED_2021-09-12_final
2021-09-12 09:56:01	ga_s2bm_ard_3-2-1_55HCD_2021-09-12_final
2021-09-12 09:56:16	ga_s2bm_ard_3-2-1_55HCC_2021-09-12_final
2021-09-12 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2021-09-12_final
2021-09-12 09:56:30	ga_s2bm_ard_3-2-1_55HCB_2021-09-12_final
2021-09-12 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2021-09-12_final
2021-09-12 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2021-09-12_final
2021-09-12 09:57:05	ga_s2bm_ard_3-2-1_55HDU_2021-09-12_final
2021-09-12 09:57:11	ga_s2bm_ard_3-2-1_55HBU_2021-09-12_final
2021-09-12 09:57:11	ga_s2bm_ard_3-2-1_54HYD_2021-09-12_final
2021-09-12 09:57:16	ga_s2bm_ard_3-2-1_55HCU_2021-09-12_final
2021-09-12 09:57:18	ga_s2bm_ard_3-2-1_55HBU_2021-09-12_final
2021-09-12 09:57:18	ga_s2bm_ard_3-2-1_54HYD_2021-09-12_final
2021-09-12 09:57:22	ga_s2bm_ard_3-2-1_54HXD_2021-09-12_final
2021-09-12 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2021-09-12_final
2021-09-12 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2021-09-12_final
2021-09-12 11:31:14	ga_s2bm_ard_3-2-1_52LBK_2021-09-12_final
2021-09-12 11:31:20	ga_s2bm_ard_3-2-1_51LYE_2021-09-12_final
2021-09-12 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2021-09-12_final
2021-09-12 11:31:49	ga_s2bm_ard_3-2-1_51LYC_2021-09-12_final
2021-09-12 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2021-09-12_final
2021-09-12 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2021-09-12_final
2021-09-12 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2021-09-12_final
2021-09-12 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2021-09-12_final
2021-09-12 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2021-09-12_final
2021-09-12 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2021-09-12_final
2021-09-12 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2021-09-12_final
2021-09-12 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2021-09-12_final
2021-09-12 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2021-09-12_final
2021-09-12 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2021-09-12_final
2021-09-12 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2021-09-12_final
2021-09-12 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2021-09-12_final
2021-09-12 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2021-09-12_final
2021-09-12 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-09-12_final
2021-09-12 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2021-09-12_final
2021-09-12 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2021-09-12_final
2021-09-12 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2021-09-12_final
2021-09-12 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2021-09-12_final
2021-09-12 11:35:59	ga_s2bm_ard_3-2-1_51JTG_2021-09-12_final
2021-09-12 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2021-09-12_final
2021-09-12 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2021-09-12_final
2021-09-12 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2021-09-12_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-09-12 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2021-09-12_final
2021-09-12 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2021-09-12_final
2021-09-12 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2021-09-12_final
2021-09-12 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2021-09-12_final
2021-09-12 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-12_final
2021-09-12 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2021-09-12_final
2021-09-12 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-09-12_final
2021-09-12 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-09-12_final
2021-09-12 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-09-12_final
2021-09-12 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2021-09-12_final.stac-item
2021-09-12 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2021-09-12_final.stac-item
2021-09-12 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-09-12_final.stac-item
2021-09-12 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2021-09-12_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