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
2019-06-14 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2019-06-14_final
2019-06-14 12:05:26	ga_s2bm_ard_3-2-1_50JKR_2019-06-14_final
2019-06-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-06-14_final
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-06-14_final
2019-06-14 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-06-14_final
2019-06-14 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-06-14_final
2019-06-14 12:05:45	ga_s2bm_ard_3-2-1_50JLP_2019-06-14_final
2019-06-14 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-06-14_final
2019-06-14 12:05:51	ga_s2bm_ard_3-2-1_49JGJ_2019-06-14_final
2019-06-15 09:51:26	ga_s2bm_ard_3-2-1_55LFC_2019-06-15_final
2019-06-15 09:51:32	ga_s2bm_ard_3-2-1_56KKG_2019-06-15_final.stac-item
2019-06-15 09:51:34	ga_s2bm_ard_3-2-1_55KHB_2019-06-15_final.stac-item
2019-06-15 09:51:37	ga_s2bm_ard_3-2-1_55KGB_2019-06-15_final
2019-06-15 09:52:13	ga_s2bm_ard_3-2-1_55KEV_2019-06-15_final
2019-06-15 09:52:42	ga_s2bm_ard_3-2-1_55KHS_2019-06-15_final
2019-06-15 09:52:53	ga_s2bm_ard_3-2-1_55KFS_2019-06-15_final
2019-06-15 09:52:57	ga_s2bm_ard_3-2-1_55KES_2019-06-15_final
2019-06-15 09:53:03	ga_s2bm_ard_3-2-1_55KDS_2019-06-15_final
2019-06-15 09:53:05	ga_s2bm_ard_3-2-1_55KER_2019-06-15_final
2019-06-15 09:53:07	ga_s2bm_ard_3-2-1_55KDR_2019-06-15_final
2019-06-15 09:53:12	ga_s2bm_ard_3-2-1_55KER_2019-06-15_final
2019-06-15 09:53:15	ga_s2bm_ard_3-2-1_55KDR_2019-06-15_final
2019-06-15 09:53:37	ga_s2bm_ard_3-2-1_55KFP_2019-06-15_final
2019-06-15 09:53:45	ga_s2bm_ard_3-2-1_55JGN_2019-06-15_final
2019-06-15 09:53:51	ga_s2bm_ard_3-2-1_55JFN_2019-06-15_final
2019-06-15 09:53:55	ga_s2bm_ard_3-2-1_55JEN_2019-06-15_final
2019-06-15 09:53:58	ga_s2bm_ard_3-2-1_55JDN_2019-06-15_final
2019-06-15 09:54:05	ga_s2bm_ard_3-2-1_55JFM_2019-06-15_final
2019-06-15 09:54:16	ga_s2bm_ard_3-2-1_55JCM_2019-06-15_final
2019-06-15 09:54:24	ga_s2bm_ard_3-2-1_55JEL_2019-06-15_final
2019-06-15 09:54:27	ga_s2bm_ard_3-2-1_55JDL_2019-06-15_final
2019-06-15 09:54:42	ga_s2bm_ard_3-2-1_55JDK_2019-06-15_final
2019-06-15 09:54:48	ga_s2bm_ard_3-2-1_55JFJ_2019-06-15_final
2019-06-15 09:54:53	ga_s2bm_ard_3-2-1_55JEJ_2019-06-15_final
2019-06-15 09:54:56	ga_s2bm_ard_3-2-1_55JDJ_2019-06-15_final
2019-06-15 09:55:00	ga_s2bm_ard_3-2-1_55JCJ_2019-06-15_final
2019-06-15 09:55:07	ga_s2bm_ard_3-2-1_55JEH_2019-06-15_final
2019-06-15 09:55:11	ga_s2bm_ard_3-2-1_55JDH_2019-06-15_final
2019-06-15 09:55:22	ga_s2bm_ard_3-2-1_55JEG_2019-06-15_final
2019-06-15 09:55:25	ga_s2bm_ard_3-2-1_55JDG_2019-06-15_final
2019-06-15 09:55:36	ga_s2bm_ard_3-2-1_55JEF_2019-06-15_final
2019-06-15 09:55:40	ga_s2bm_ard_3-2-1_55JDF_2019-06-15_final
2019-06-15 09:55:43	ga_s2bm_ard_3-2-1_55JCF_2019-06-15_final
2019-06-15 09:55:50	ga_s2bm_ard_3-2-1_55HEE_2019-06-15_final
2019-06-15 09:55:54	ga_s2bm_ard_3-2-1_55HDE_2019-06-15_final
2019-06-15 09:56:23	ga_s2bm_ard_3-2-1_55HDC_2019-06-15_final
2019-06-15 09:56:30	ga_s2bm_ard_3-2-1_55HBC_2019-06-15_final
2019-06-15 09:56:32	ga_s2bm_ard_3-2-1_54HYH_2019-06-15_final
2019-06-15 09:56:52	ga_s2bm_ard_3-2-1_55HDA_2019-06-15_final
2019-06-15 09:56:56	ga_s2bm_ard_3-2-1_55HCA_2019-06-15_final
2019-06-15 09:56:59	ga_s2bm_ard_3-2-1_55HBA_2019-06-15_final
2019-06-15 09:57:01	ga_s2bm_ard_3-2-1_54HYF_2019-06-15_final
2019-06-15 09:57:05	ga_s2bm_ard_3-2-1_54HXF_2019-06-15_final
2019-06-15 09:58:08	ga_s2bm_ard_3-2-1_55GCR_2019-06-15_final
2019-06-15 09:58:27	ga_s2bm_ard_3-2-1_54GYV_2019-06-15_final.stac-item
2019-06-15 11:31:25	ga_s2bm_ard_3-2-1_52LBK_2019-06-15_final
2019-06-15 11:31:28	ga_s2bm_ard_3-2-1_51LZE_2019-06-15_final
2019-06-15 11:31:32	ga_s2bm_ard_3-2-1_51LYE_2019-06-15_final
2019-06-15 11:31:36	ga_s2bm_ard_3-2-1_52LBJ_2019-06-15_final
2019-06-15 11:31:42	ga_s2bm_ard_3-2-1_51LZD_2019-06-15_final
2019-06-15 11:31:46	ga_s2bm_ard_3-2-1_51LYD_2019-06-15_final
2019-06-15 11:31:50	ga_s2bm_ard_3-2-1_51LXD_2019-06-15_final
2019-06-15 11:32:04	ga_s2bm_ard_3-2-1_51LXC_2019-06-15_final
2019-06-15 11:32:07	ga_s2bm_ard_3-2-1_51KZB_2019-06-15_final
2019-06-15 11:32:07	ga_s2bm_ard_3-2-1_51LWC_2019-06-15_final
2019-06-15 11:32:15	ga_s2bm_ard_3-2-1_51KYB_2019-06-15_final
2019-06-15 11:32:51	ga_s2bm_ard_3-2-1_51KWV_2019-06-15_final
2019-06-15 11:32:54	ga_s2bm_ard_3-2-1_51KVV_2019-06-15_final
2019-06-15 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2019-06-15_final
2019-06-15 11:33:31	ga_s2bm_ard_3-2-1_51KXS_2019-06-15_final
2019-06-15 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-06-15_final
2019-06-15 11:33:38	ga_s2bm_ard_3-2-1_51KVS_2019-06-15_final
2019-06-15 11:33:41	ga_s2bm_ard_3-2-1_51KUS_2019-06-15_final
2019-06-15 11:33:49	ga_s2bm_ard_3-2-1_51KWR_2019-06-15_final
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final
2019-06-15 11:34:13	ga_s2bm_ard_3-2-1_51KXP_2019-06-15_final
2019-06-15 11:34:32	ga_s2bm_ard_3-2-1_51JWN_2019-06-15_final
2019-06-15 11:34:36	ga_s2bm_ard_3-2-1_51JVN_2019-06-15_final
2019-06-15 11:34:39	ga_s2bm_ard_3-2-1_51JUN_2019-06-15_final
2019-06-15 11:34:43	ga_s2bm_ard_3-2-1_51JTN_2019-06-15_final
2019-06-15 11:34:44	ga_s2bm_ard_3-2-1_50JRT_2019-06-15_final
2019-06-15 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2019-06-15_final
2019-06-15 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2019-06-15_final
2019-06-15 11:34:56	ga_s2bm_ard_3-2-1_51JUM_2019-06-15_final
2019-06-15 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-06-15_final
2019-06-15 11:35:11	ga_s2bm_ard_3-2-1_51JTL_2019-06-15_final
2019-06-15 11:35:15	ga_s2bm_ard_3-2-1_51JWK_2019-06-15_final
2019-06-15 11:35:19	ga_s2bm_ard_3-2-1_51JVK_2019-06-15_final
2019-06-15 11:35:26	ga_s2bm_ard_3-2-1_51JTK_2019-06-15_final
2019-06-15 11:35:26	ga_s2bm_ard_3-2-1_51JWJ_2019-06-15_final
2019-06-15 11:35:34	ga_s2bm_ard_3-2-1_51JVJ_2019-06-15_final
2019-06-15 11:35:38	ga_s2bm_ard_3-2-1_51JUJ_2019-06-15_final
2019-06-15 11:35:41	ga_s2bm_ard_3-2-1_51JTJ_2019-06-15_final
2019-06-15 11:35:44	ga_s2bm_ard_3-2-1_50JQP_2019-06-15_final
2019-06-15 11:35:48	ga_s2bm_ard_3-2-1_51JVH_2019-06-15_final
2019-06-15 11:36:03	ga_s2bm_ard_3-2-1_51JVG_2019-06-15_final
2019-06-15 11:36:10	ga_s2bm_ard_3-2-1_51JTG_2019-06-15_final
2019-06-15 11:36:21	ga_s2bm_ard_3-2-1_51JUF_2019-06-15_final
2019-06-15 11:36:31	ga_s2bm_ard_3-2-1_51HVE_2019-06-15_final
2019-06-15 11:36:34	ga_s2bm_ard_3-2-1_50JPL_2019-06-15_final

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