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
2020-02-09 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2020-02-09_final
2020-02-09 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-02-09_final
2020-02-09 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2020-02-09_final
2020-02-09 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2020-02-09_final
2020-02-09 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2020-02-09_final
2020-02-09 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2020-02-09_final
2020-02-09 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-02-09_final
2020-02-09 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2020-02-09_final
2020-02-09 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2020-02-09_final
2020-02-10 09:51:20	ga_s2bm_ard_3-2-1_56KKG_2020-02-10_final.stac-item
2020-02-10 09:51:21	ga_s2bm_ard_3-2-1_55KHB_2020-02-10_final.stac-item
2020-02-10 09:51:25	ga_s2bm_ard_3-2-1_55KGB_2020-02-10_final
2020-02-10 09:51:28	ga_s2bm_ard_3-2-1_55KFB_2020-02-10_final
2020-02-10 09:51:43	ga_s2bm_ard_3-2-1_55KFA_2020-02-10_final
2020-02-10 09:52:08	ga_s2bm_ard_3-2-1_55KGU_2020-02-10_final
2020-02-10 09:52:22	ga_s2bm_ard_3-2-1_55KGT_2020-02-10_final
2020-02-10 09:52:30	ga_s2bm_ard_3-2-1_55KHS_2020-02-10_final
2020-02-10 09:52:37	ga_s2bm_ard_3-2-1_55KGS_2020-02-10_final
2020-02-10 09:52:41	ga_s2bm_ard_3-2-1_55KFS_2020-02-10_final
2020-02-10 09:52:44	ga_s2bm_ard_3-2-1_55KES_2020-02-10_final
2020-02-10 09:52:51	ga_s2bm_ard_3-2-1_55KGR_2020-02-10_final
2020-02-10 09:52:55	ga_s2bm_ard_3-2-1_55KFR_2020-02-10_final
2020-02-10 09:53:10	ga_s2bm_ard_3-2-1_55KFQ_2020-02-10_final
2020-02-10 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2020-02-10_final
2020-02-10 09:53:16	ga_s2bm_ard_3-2-1_55KDQ_2020-02-10_final
2020-02-10 09:53:24	ga_s2bm_ard_3-2-1_55KFP_2020-02-10_final
2020-02-10 09:53:28	ga_s2bm_ard_3-2-1_55KEP_2020-02-10_final
2020-02-10 09:53:31	ga_s2bm_ard_3-2-1_55KDP_2020-02-10_final
2020-02-10 09:53:32	ga_s2bm_ard_3-2-1_55JGN_2020-02-10_final
2020-02-10 09:53:38	ga_s2bm_ard_3-2-1_55JFN_2020-02-10_final
2020-02-10 09:53:42	ga_s2bm_ard_3-2-1_55JEN_2020-02-10_final
2020-02-10 09:53:42	ga_s2bm_ard_3-2-1_55JGM_2020-02-10_final
2020-02-10 09:53:45	ga_s2bm_ard_3-2-1_55JDN_2020-02-10_final
2020-02-10 09:53:53	ga_s2bm_ard_3-2-1_55JCN_2020-02-10_final
2020-02-10 09:53:53	ga_s2bm_ard_3-2-1_55JFM_2020-02-10_final
2020-02-10 09:53:57	ga_s2bm_ard_3-2-1_55JEM_2020-02-10_final
2020-02-10 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2020-02-10_final
2020-02-10 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2020-02-10_final
2020-02-10 09:54:45	ga_s2bm_ard_3-2-1_55JFH_2020-02-10_final
2020-02-10 09:55:01	ga_s2bm_ard_3-2-1_55JCH_2020-02-10_final
2020-02-10 09:55:33	ga_s2bm_ard_3-2-1_55JBF_2020-02-10_final
2020-02-10 09:56:32	ga_s2bm_ard_3-2-1_55HBB_2020-02-10_final
2020-02-10 09:56:34	ga_s2bm_ard_3-2-1_54HYG_2020-02-10_final
2020-02-10 09:56:53	ga_s2bm_ard_3-2-1_55HDV_2020-02-10_final
2020-02-10 09:56:58	ga_s2bm_ard_3-2-1_55HCV_2020-02-10_final
2020-02-10 09:57:01	ga_s2bm_ard_3-2-1_55HBV_2020-02-10_final
2020-02-10 09:57:02	ga_s2bm_ard_3-2-1_54HYE_2020-02-10_final
2020-02-10 09:57:06	ga_s2bm_ard_3-2-1_54HXE_2020-02-10_final
2020-02-10 09:57:42	ga_s2bm_ard_3-2-1_55HCS_2020-02-10_final
2020-02-10 09:57:45	ga_s2bm_ard_3-2-1_55HBS_2020-02-10_final
2020-02-10 09:57:45	ga_s2bm_ard_3-2-1_54HYB_2020-02-10_final
2020-02-10 09:57:56	ga_s2bm_ard_3-2-1_55GCR_2020-02-10_final
2020-02-10 09:57:59	ga_s2bm_ard_3-2-1_55GBR_2020-02-10_final
2020-02-10 09:58:00	ga_s2bm_ard_3-2-1_54GYA_2020-02-10_final
2020-02-10 09:58:08	ga_s2bm_ard_3-2-1_55GCQ_2020-02-10_final
2020-02-10 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-02-10_final.stac-item
2020-02-10 09:58:14	ga_s2bm_ard_3-2-1_54GYV_2020-02-10_final.stac-item
2020-02-10 11:31:24	ga_s2bm_ard_3-2-1_52LBJ_2020-02-10_final
2020-02-10 11:31:25	ga_s2bm_ard_3-2-1_51LWE_2020-02-10_final
2020-02-10 11:31:30	ga_s2bm_ard_3-2-1_51LZD_2020-02-10_final
2020-02-10 11:31:33	ga_s2bm_ard_3-2-1_51LYD_2020-02-10_final
2020-02-10 11:31:37	ga_s2bm_ard_3-2-1_51LXD_2020-02-10_final
2020-02-10 11:31:54	ga_s2bm_ard_3-2-1_51KZB_2020-02-10_final
2020-02-10 11:32:02	ga_s2bm_ard_3-2-1_51KYB_2020-02-10_final
2020-02-10 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2020-02-10_final
2020-02-10 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2020-02-10_final
2020-02-10 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2020-02-10_final
2020-02-10 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2020-02-10_final
2020-02-10 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-02-10_final
2020-02-10 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-02-10_final
2020-02-10 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-02-10_final
2020-02-10 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-02-10_final
2020-02-10 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-02-10_final
2020-02-10 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-02-10_final
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final
2020-02-10 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2020-02-10_final
2020-02-10 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-02-10_final
2020-02-10 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-02-10_final
2020-02-10 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-02-10_final
2020-02-10 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2020-02-10_final
2020-02-10 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2020-02-10_final
2020-02-10 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2020-02-10_final
2020-02-10 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2020-02-10_final
2020-02-10 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2020-02-10_final
2020-02-10 11:34:31	ga_s2bm_ard_3-2-1_51JTN_2020-02-10_final
2020-02-10 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2020-02-10_final
2020-02-10 11:34:34	ga_s2bm_ard_3-2-1_51JWM_2020-02-10_final
2020-02-10 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-02-10_final
2020-02-10 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-02-10_final
2020-02-10 11:34:44	ga_s2bm_ard_3-2-1_50JRS_2020-02-10_final
2020-02-10 11:34:49	ga_s2bm_ard_3-2-1_51JWL_2020-02-10_final
2020-02-10 11:34:52	ga_s2bm_ard_3-2-1_51JVL_2020-02-10_final
2020-02-10 11:35:39	ga_s2bm_ard_3-2-1_51JUH_2020-02-10_final
2020-02-10 11:35:56	ga_s2bm_ard_3-2-1_51JTG_2020-02-10_final
2020-02-10 11:35:57	ga_s2bm_ard_3-2-1_50JQM_2020-02-10_final
2020-02-10 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2020-02-10_final
2020-02-10 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2020-02-10_final
2020-02-10 11:36:14	ga_s2bm_ard_3-2-1_50JQL_2020-02-10_final
2020-02-10 11:36:23	ga_s2bm_ard_3-2-1_51HUE_2020-02-10_final
2020-02-10 11:37:10	ga_s2bm_ard_3-2-1_51HTB_2020-02-10_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