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
2019-01-12 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2019-01-12_final.stac-item
2019-01-13 09:41:41	ga_s2bm_ard_3-2-1_56KLF_2019-01-13_final
2019-01-13 09:41:52	ga_s2bm_ard_3-2-1_56KME_2019-01-13_final.stac-item
2019-01-13 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2019-01-13_final
2019-01-13 09:42:42	ga_s2bm_ard_3-2-1_56KKB_2019-01-13_final
2019-01-13 09:42:46	ga_s2bm_ard_3-2-1_55KGS_2019-01-13_final
2019-01-13 09:42:53	ga_s2bm_ard_3-2-1_56KLA_2019-01-13_final
2019-01-13 09:42:56	ga_s2bm_ard_3-2-1_56KKA_2019-01-13_final
2019-01-13 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2019-01-13_final
2019-01-13 09:43:08	ga_s2bm_ard_3-2-1_56KLV_2019-01-13_final
2019-01-13 09:43:26	ga_s2bm_ard_3-2-1_56KKU_2019-01-13_final
2019-01-13 09:43:29	ga_s2bm_ard_3-2-1_55KGP_2019-01-13_final
2019-01-13 09:43:55	ga_s2bm_ard_3-2-1_55JHM_2019-01-13_final
2019-01-13 09:43:55	ga_s2bm_ard_3-2-1_56JKS_2019-01-13_final
2019-01-13 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2019-01-13_final
2019-01-13 09:44:09	ga_s2bm_ard_3-2-1_56JKR_2019-01-13_final
2019-01-13 09:44:13	ga_s2bm_ard_3-2-1_55JGL_2019-01-13_final
2019-01-13 09:44:24	ga_s2bm_ard_3-2-1_56JKQ_2019-01-13_final
2019-01-13 09:44:27	ga_s2bm_ard_3-2-1_55JGK_2019-01-13_final
2019-01-13 09:44:38	ga_s2bm_ard_3-2-1_56JKP_2019-01-13_final
2019-01-13 09:44:42	ga_s2bm_ard_3-2-1_55JGJ_2019-01-13_final
2019-01-13 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2019-01-13_final
2019-01-13 09:45:03	ga_s2bm_ard_3-2-1_55JEH_2019-01-13_final
2019-01-13 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2019-01-13_final
2019-01-13 09:45:14	ga_s2bm_ard_3-2-1_55JFG_2019-01-13_final
2019-01-13 09:45:21	ga_s2bm_ard_3-2-1_56JKL_2019-01-13_final
2019-01-13 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2019-01-13_final
2019-01-13 09:45:29	ga_s2bm_ard_3-2-1_55JFF_2019-01-13_final
2019-01-13 09:45:43	ga_s2bm_ard_3-2-1_55HFE_2019-01-13_final
2019-01-13 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2019-01-13_final
2019-01-13 09:45:50	ga_s2bm_ard_3-2-1_55HDE_2019-01-13_final
2019-01-13 09:45:58	ga_s2bm_ard_3-2-1_55HFD_2019-01-13_final
2019-01-13 09:46:01	ga_s2bm_ard_3-2-1_55HED_2019-01-13_final
2019-01-13 09:46:05	ga_s2bm_ard_3-2-1_55HDD_2019-01-13_final
2019-01-13 09:46:12	ga_s2bm_ard_3-2-1_55HFC_2019-01-13_final
2019-01-13 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2019-01-13_final
2019-01-13 09:46:27	ga_s2bm_ard_3-2-1_55HCC_2019-01-13_final
2019-01-13 09:46:30	ga_s2bm_ard_3-2-1_55HEB_2019-01-13_final
2019-01-13 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2019-01-13_final
2019-01-13 09:46:38	ga_s2bm_ard_3-2-1_55HCB_2019-01-13_final
2019-01-13 09:46:41	ga_s2bm_ard_3-2-1_55HFA_2019-01-13_final
2019-01-13 09:46:51	ga_s2bm_ard_3-2-1_55HCA_2019-01-13_final
2019-01-13 09:47:18	ga_s2bm_ard_3-2-1_55HFT_2019-01-13_final.stac-item
2019-01-13 09:47:28	ga_s2bm_ard_3-2-1_55HET_2019-01-13_final
2019-01-13 09:47:32	ga_s2bm_ard_3-2-1_55HDT_2019-01-13_final
2019-01-13 09:47:35	ga_s2bm_ard_3-2-1_55HCT_2019-01-13_final
2019-01-13 09:47:39	ga_s2bm_ard_3-2-1_55HBT_2019-01-13_final
2019-01-13 09:47:43	ga_s2bm_ard_3-2-1_54HYC_2019-01-13_final
2019-01-13 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2019-01-13_final
2019-01-13 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2019-01-13_final
2019-01-13 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2019-01-13_final.stac-item
2019-01-13 09:48:59	ga_s2bm_ard_3-2-1_55GCM_2019-01-13_final.stac-item
2019-01-13 11:21:07	ga_s2bm_ard_3-2-1_52LEK_2019-01-13_final.stac-item
2019-01-13 11:21:20	ga_s2bm_ard_3-2-1_52LCK_2019-01-13_final.stac-item
2019-01-13 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2019-01-13_final
2019-01-13 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2019-01-13_final
2019-01-13 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2019-01-13_final
2019-01-13 11:21:46	ga_s2bm_ard_3-2-1_52LDH_2019-01-13_final
2019-01-13 11:21:49	ga_s2bm_ard_3-2-1_52LCH_2019-01-13_final
2019-01-13 11:22:33	ga_s2bm_ard_3-2-1_52KCE_2019-01-13_final
2019-01-13 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2019-01-13_final
2019-01-13 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2019-01-13_final
2019-01-13 11:22:41	ga_s2bm_ard_3-2-1_51KYV_2019-01-13_final
2019-01-13 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2019-01-13_final
2019-01-13 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-13_final
2019-01-13 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2019-01-13_final
2019-01-13 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-01-13_final
2019-01-13 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2019-01-13_final
2019-01-13 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2019-01-13_final
2019-01-13 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2019-01-13_final
2019-01-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-01-13_final
2019-01-13 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2019-01-13_final
2019-01-13 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2019-01-13_final
2019-01-13 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2019-01-13_final
2019-01-13 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2019-01-13_final
2019-01-13 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2019-01-13_final
2019-01-13 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2019-01-13_final
2019-01-13 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2019-01-13_final
2019-01-13 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2019-01-13_final
2019-01-13 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2019-01-13_final
2019-01-13 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2019-01-13_final
2019-01-13 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2019-01-13_final
2019-01-13 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2019-01-13_final
2019-01-13 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2019-01-13_final
2019-01-13 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2019-01-13_final
2019-01-13 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2019-01-13_final
2019-01-13 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2019-01-13_final
2019-01-13 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2019-01-13_final
2019-01-13 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2019-01-13_final
2019-01-13 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-01-13_final
2019-01-13 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2019-01-13_final
2019-01-13 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2019-01-13_final
2019-01-13 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2019-01-13_final
2019-01-13 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2019-01-13_final
2019-01-13 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2019-01-13_final
2019-01-13 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2019-01-13_final
2019-01-13 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-01-13_final
2019-01-13 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2019-01-13_final
2019-01-13 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2019-01-13_final.stac-item
2019-01-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2019-01-13_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