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
2019-06-24 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-06-24_final
2019-06-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-24_final
2019-06-24 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-06-24_final
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final
2019-06-25 09:51:27	ga_s2bm_ard_3-2-1_55LFC_2019-06-25_final
2019-06-25 09:51:33	ga_s2bm_ard_3-2-1_56KKG_2019-06-25_final.stac-item
2019-06-25 09:51:38	ga_s2bm_ard_3-2-1_55KGB_2019-06-25_final
2019-06-25 09:52:22	ga_s2bm_ard_3-2-1_55KGU_2019-06-25_final
2019-06-25 09:52:36	ga_s2bm_ard_3-2-1_55KGT_2019-06-25_final
2019-06-25 09:52:43	ga_s2bm_ard_3-2-1_55KET_2019-06-25_final
2019-06-25 09:52:50	ga_s2bm_ard_3-2-1_55KGS_2019-06-25_final
2019-06-25 09:53:02	ga_s2bm_ard_3-2-1_55KGR_2019-06-25_final
2019-06-25 09:53:04	ga_s2bm_ard_3-2-1_55KFR_2019-06-25_final
2019-06-25 09:53:09	ga_s2bm_ard_3-2-1_55KGR_2019-06-25_final
2019-06-25 09:53:11	ga_s2bm_ard_3-2-1_55KFR_2019-06-25_final
2019-06-25 09:53:23	ga_s2bm_ard_3-2-1_55KFQ_2019-06-25_final
2019-06-25 09:53:34	ga_s2bm_ard_3-2-1_55KGP_2019-06-25_final
2019-06-25 09:53:41	ga_s2bm_ard_3-2-1_55KEP_2019-06-25_final
2019-06-25 09:53:44	ga_s2bm_ard_3-2-1_55KDP_2019-06-25_final
2019-06-25 09:53:52	ga_s2bm_ard_3-2-1_55JFN_2019-06-25_final
2019-06-25 09:53:56	ga_s2bm_ard_3-2-1_55JEN_2019-06-25_final
2019-06-25 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-06-25_final
2019-06-25 09:54:06	ga_s2bm_ard_3-2-1_55JCN_2019-06-25_final
2019-06-25 09:54:10	ga_s2bm_ard_3-2-1_55JEM_2019-06-25_final
2019-06-25 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-25_final
2019-06-25 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-06-25_final
2019-06-25 09:54:39	ga_s2bm_ard_3-2-1_55JEK_2019-06-25_final
2019-06-25 09:54:43	ga_s2bm_ard_3-2-1_55JDK_2019-06-25_final
2019-06-25 09:54:53	ga_s2bm_ard_3-2-1_55JEJ_2019-06-25_final
2019-06-25 09:54:57	ga_s2bm_ard_3-2-1_55JDJ_2019-06-25_final
2019-06-25 09:55:37	ga_s2bm_ard_3-2-1_55JEF_2019-06-25_final
2019-06-25 09:55:41	ga_s2bm_ard_3-2-1_55JDF_2019-06-25_final
2019-06-25 09:56:13	ga_s2bm_ard_3-2-1_55HCD_2019-06-25_final
2019-06-25 09:56:16	ga_s2bm_ard_3-2-1_55HBD_2019-06-25_final
2019-06-25 09:56:18	ga_s2bm_ard_3-2-1_54HYJ_2019-06-25_final
2019-06-25 09:56:24	ga_s2bm_ard_3-2-1_55HDC_2019-06-25_final
2019-06-25 09:56:31	ga_s2bm_ard_3-2-1_55HBC_2019-06-25_final
2019-06-25 09:56:33	ga_s2bm_ard_3-2-1_54HYH_2019-06-25_final
2019-06-25 09:56:39	ga_s2bm_ard_3-2-1_55HDB_2019-06-25_final
2019-06-25 09:56:45	ga_s2bm_ard_3-2-1_55HBB_2019-06-25_final
2019-06-25 09:56:47	ga_s2bm_ard_3-2-1_54HYG_2019-06-25_final
2019-06-25 09:56:53	ga_s2bm_ard_3-2-1_55HDA_2019-06-25_final
2019-06-25 09:57:40	ga_s2bm_ard_3-2-1_55HCT_2019-06-25_final
2019-06-25 09:57:44	ga_s2bm_ard_3-2-1_55HBT_2019-06-25_final
2019-06-25 09:57:49	ga_s2bm_ard_3-2-1_54HXC_2019-06-25_final
2019-06-25 09:57:54	ga_s2bm_ard_3-2-1_54HWC_2019-06-25_final
2019-06-25 09:57:55	ga_s2bm_ard_3-2-1_55HCS_2019-06-25_final
2019-06-25 09:57:58	ga_s2bm_ard_3-2-1_55HBS_2019-06-25_final
2019-06-25 09:57:59	ga_s2bm_ard_3-2-1_54HYB_2019-06-25_final
2019-06-25 09:58:09	ga_s2bm_ard_3-2-1_55GCR_2019-06-25_final
2019-06-25 09:58:13	ga_s2bm_ard_3-2-1_55GBR_2019-06-25_final
2019-06-25 09:58:13	ga_s2bm_ard_3-2-1_54GYA_2019-06-25_final
2019-06-25 09:58:22	ga_s2bm_ard_3-2-1_55GCQ_2019-06-25_final
2019-06-25 09:58:27	ga_s2bm_ard_3-2-1_55GBQ_2019-06-25_final.stac-item
2019-06-25 09:58:28	ga_s2bm_ard_3-2-1_54GYV_2019-06-25_final.stac-item
2019-06-25 09:58:32	ga_s2bm_ard_3-2-1_55GCP_2019-06-25_final
2019-06-25 11:31:26	ga_s2bm_ard_3-2-1_52LBK_2019-06-25_final
2019-06-25 11:31:29	ga_s2bm_ard_3-2-1_51LZE_2019-06-25_final
2019-06-25 11:31:32	ga_s2bm_ard_3-2-1_51LYE_2019-06-25_final
2019-06-25 11:31:37	ga_s2bm_ard_3-2-1_52LBJ_2019-06-25_final
2019-06-25 11:31:43	ga_s2bm_ard_3-2-1_51LZD_2019-06-25_final
2019-06-25 11:31:47	ga_s2bm_ard_3-2-1_51LYD_2019-06-25_final
2019-06-25 11:31:50	ga_s2bm_ard_3-2-1_51LXD_2019-06-25_final
2019-06-25 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-06-25_final
2019-06-25 11:32:16	ga_s2bm_ard_3-2-1_51KYB_2019-06-25_final
2019-06-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-06-25_final
2019-06-25 11:32:34	ga_s2bm_ard_3-2-1_51KXA_2019-06-25_final
2019-06-25 11:32:45	ga_s2bm_ard_3-2-1_51KYV_2019-06-25_final
2019-06-25 11:32:53	ga_s2bm_ard_3-2-1_51KYV_2019-06-25_final
2019-06-25 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2019-06-25_final
2019-06-25 11:32:59	ga_s2bm_ard_3-2-1_51KYU_2019-06-25_final
2019-06-25 11:33:10	ga_s2bm_ard_3-2-1_51KYT_2019-06-25_final
2019-06-25 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-06-25_final
2019-06-25 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-06-25_final
2019-06-25 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-06-25_final
2019-06-25 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-06-25_final
2019-06-25 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-06-25_final
2019-06-25 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-06-25_final
2019-06-25 11:34:22	ga_s2bm_ard_3-2-1_51KVP_2019-06-25_final
2019-06-25 11:34:24	ga_s2bm_ard_3-2-1_51JXN_2019-06-25_final
2019-06-25 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-06-25_final
2019-06-25 11:34:37	ga_s2bm_ard_3-2-1_51JVN_2019-06-25_final
2019-06-25 11:34:40	ga_s2bm_ard_3-2-1_51JUN_2019-06-25_final
2019-06-25 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-06-25_final
2019-06-25 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-06-25_final
2019-06-25 11:35:16	ga_s2bm_ard_3-2-1_51JWK_2019-06-25_final
2019-06-25 11:35:20	ga_s2bm_ard_3-2-1_51JVK_2019-06-25_final
2019-06-25 11:35:27	ga_s2bm_ard_3-2-1_51JWJ_2019-06-25_final
2019-06-25 11:35:32	ga_s2bm_ard_3-2-1_51JVJ_2019-06-25_final
2019-06-25 11:35:33	ga_s2bm_ard_3-2-1_51JWJ_2019-06-25_final
2019-06-25 11:35:39	ga_s2bm_ard_3-2-1_51JVJ_2019-06-25_final
2019-06-25 11:36:18	ga_s2bm_ard_3-2-1_51JVF_2019-06-25_final
2019-06-25 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-06-25_final
2019-06-25 11:36:55	ga_s2bm_ard_3-2-1_51HTD_2019-06-25_final
2019-06-25 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-06-25_final
2019-06-25 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-06-25_final
2019-06-25 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-06-25_final
2019-06-25 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-06-25_final
2019-06-25 11:37:24	ga_s2bm_ard_3-2-1_51HTB_2019-06-25_final.stac-item
2019-06-25 11:37:25	ga_s2bm_ard_3-2-1_50HQG_2019-06-25_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