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
2021-05-11 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-05-11_final.stac-item
2021-05-11 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-05-11_final.stac-item
2021-05-12 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2021-05-12_final
2021-05-12 09:42:41	ga_s2bm_ard_3-2-1_56KKB_2021-05-12_final
2021-05-12 09:42:45	ga_s2bm_ard_3-2-1_55KGS_2021-05-12_final
2021-05-12 09:42:53	ga_s2bm_ard_3-2-1_56KLA_2021-05-12_final
2021-05-12 09:43:07	ga_s2bm_ard_3-2-1_56KLV_2021-05-12_final
2021-05-12 09:43:22	ga_s2bm_ard_3-2-1_56KLU_2021-05-12_final
2021-05-12 09:43:25	ga_s2bm_ard_3-2-1_56KKU_2021-05-12_final
2021-05-12 09:43:33	ga_s2bm_ard_3-2-1_55KFP_2021-05-12_final
2021-05-12 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2021-05-12_final
2021-05-12 09:44:23	ga_s2bm_ard_3-2-1_56JKQ_2021-05-12_final
2021-05-12 09:44:27	ga_s2bm_ard_3-2-1_55JGK_2021-05-12_final
2021-05-12 09:44:38	ga_s2bm_ard_3-2-1_56JKP_2021-05-12_final
2021-05-12 09:44:41	ga_s2bm_ard_3-2-1_55JGJ_2021-05-12_final
2021-05-12 09:45:03	ga_s2bm_ard_3-2-1_55JEH_2021-05-12_final
2021-05-12 09:45:28	ga_s2bm_ard_3-2-1_55JFF_2021-05-12_final
2021-05-12 09:45:31	ga_s2bm_ard_3-2-1_56HKK_2021-05-12_final
2021-05-12 09:45:32	ga_s2bm_ard_3-2-1_55JEF_2021-05-12_final
2021-05-12 09:45:36	ga_s2bm_ard_3-2-1_55JDF_2021-05-12_final
2021-05-12 09:45:39	ga_s2bm_ard_3-2-1_55HGE_2021-05-12_final
2021-05-12 09:45:46	ga_s2bm_ard_3-2-1_55HEE_2021-05-12_final
2021-05-12 09:45:49	ga_s2bm_ard_3-2-1_55HDE_2021-05-12_final
2021-05-12 09:45:53	ga_s2bm_ard_3-2-1_55HGD_2021-05-12_final
2021-05-12 09:46:06	ga_s2bm_ard_3-2-1_55HGC_2021-05-12_final
2021-05-12 09:46:15	ga_s2bm_ard_3-2-1_55HEC_2021-05-12_final
2021-05-12 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2021-05-12_final
2021-05-12 09:46:19	ga_s2bm_ard_3-2-1_55HDC_2021-05-12_final
2021-05-12 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2021-05-12_final
2021-05-12 09:46:30	ga_s2bm_ard_3-2-1_55HEB_2021-05-12_final
2021-05-12 09:46:33	ga_s2bm_ard_3-2-1_55HDB_2021-05-12_final
2021-05-12 09:46:37	ga_s2bm_ard_3-2-1_55HCB_2021-05-12_final
2021-05-12 09:46:44	ga_s2bm_ard_3-2-1_55HEA_2021-05-12_final
2021-05-12 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2021-05-12_final
2021-05-12 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2021-05-12_final
2021-05-12 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2021-05-12_final.stac-item
2021-05-12 09:47:13	ga_s2bm_ard_3-2-1_55HEU_2021-05-12_final
2021-05-12 09:47:17	ga_s2bm_ard_3-2-1_55HDU_2021-05-12_final
2021-05-12 09:47:20	ga_s2bm_ard_3-2-1_55HCU_2021-05-12_final
2021-05-12 09:47:28	ga_s2bm_ard_3-2-1_55HBU_2021-05-12_final
2021-05-12 09:47:42	ga_s2bm_ard_3-2-1_55HES_2021-05-12_final
2021-05-12 09:47:46	ga_s2bm_ard_3-2-1_55HDS_2021-05-12_final
2021-05-12 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2021-05-12_final
2021-05-12 09:47:52	ga_s2bm_ard_3-2-1_55HBS_2021-05-12_final
2021-05-12 09:47:53	ga_s2bm_ard_3-2-1_54HYB_2021-05-12_final
2021-05-12 09:47:57	ga_s2bm_ard_3-2-1_55GER_2021-05-12_final
2021-05-12 09:48:00	ga_s2bm_ard_3-2-1_55GDR_2021-05-12_final
2021-05-12 09:48:04	ga_s2bm_ard_3-2-1_55GCR_2021-05-12_final
2021-05-12 09:48:07	ga_s2bm_ard_3-2-1_55GBR_2021-05-12_final
2021-05-12 09:48:07	ga_s2bm_ard_3-2-1_54GYA_2021-05-12_final
2021-05-12 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2021-05-12_final
2021-05-12 09:48:20	ga_s2bm_ard_3-2-1_55GEP_2021-05-12_final
2021-05-12 09:48:22	ga_s2bm_ard_3-2-1_55GBQ_2021-05-12_final.stac-item
2021-05-12 09:48:22	ga_s2bm_ard_3-2-1_54GYV_2021-05-12_final.stac-item
2021-05-12 09:48:29	ga_s2bm_ard_3-2-1_55GDP_2021-05-12_final
2021-05-12 09:48:33	ga_s2bm_ard_3-2-1_55GCP_2021-05-12_final
2021-05-12 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2021-05-12_final
2021-05-12 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2021-05-12_final
2021-05-12 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2021-05-12_final.stac-item
2021-05-12 09:49:00	ga_s2bm_ard_3-2-1_55GCM_2021-05-12_final.stac-item
2021-05-12 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2021-05-12_final.stac-item
2021-05-12 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2021-05-12_final.stac-item
2021-05-12 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2021-05-12_final
2021-05-12 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2021-05-12_final
2021-05-12 11:22:28	ga_s2bm_ard_3-2-1_52KCE_2021-05-12_final
2021-05-12 11:22:30	ga_s2bm_ard_3-2-1_52KBE_2021-05-12_final
2021-05-12 11:22:31	ga_s2bm_ard_3-2-1_51KZV_2021-05-12_final
2021-05-12 11:22:32	ga_s2bm_ard_3-2-1_51KYV_2021-05-12_final
2021-05-12 11:22:35	ga_s2bm_ard_3-2-1_52KCE_2021-05-12_final
2021-05-12 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2021-05-12_final
2021-05-12 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2021-05-12_final
2021-05-12 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2021-05-12_final
2021-05-12 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2021-05-12_final
2021-05-12 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-05-12_final
2021-05-12 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-05-12_final
2021-05-12 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-05-12_final
2021-05-12 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2021-05-12_final
2021-05-12 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-05-12_final
2021-05-12 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-05-12_final
2021-05-12 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2021-05-12_final
2021-05-12 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2021-05-12_final
2021-05-12 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-05-12_final
2021-05-12 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2021-05-12_final
2021-05-12 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2021-05-12_final
2021-05-12 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2021-05-12_final
2021-05-12 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-05-12_final
2021-05-12 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-05-12_final
2021-05-12 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2021-05-12_final
2021-05-12 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2021-05-12_final
2021-05-12 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2021-05-12_final
2021-05-12 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2021-05-12_final
2021-05-12 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-05-12 11:26:15	ga_s2bm_ard_3-2-1_51JXF_2021-05-12_final
2021-05-12 11:26:16	ga_s2bm_ard_3-2-1_51HWE_2021-05-12_final
2021-05-12 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2021-05-12_final
2021-05-12 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2021-05-12_final
2021-05-12 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-05-12 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2021-05-12_final
2021-05-12 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-05-12_final
2021-05-12 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2021-05-12_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