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
2019-09-30 09:41:30	ga_s2bm_ard_3-2-1_56KKG_2019-09-30_final.stac-item
2019-09-30 09:41:53	ga_s2bm_ard_3-2-1_56KME_2019-09-30_final.stac-item
2019-09-30 09:42:37	ga_s2bm_ard_3-2-1_56KMB_2019-09-30_final.stac-item
2019-09-30 09:42:58	ga_s2bm_ard_3-2-1_55KHR_2019-09-30_final
2019-09-30 09:43:38	ga_s2bm_ard_3-2-1_56JLT_2019-09-30_final
2019-09-30 09:43:41	ga_s2bm_ard_3-2-1_55JHN_2019-09-30_final
2019-09-30 09:43:41	ga_s2bm_ard_3-2-1_56JKT_2019-09-30_final
2019-09-30 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2019-09-30_final
2019-09-30 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2019-09-30_final
2019-09-30 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2019-09-30_final
2019-09-30 09:44:18	ga_s2bm_ard_3-2-1_55JFL_2019-09-30_final
2019-09-30 09:44:25	ga_s2bm_ard_3-2-1_55JEL_2019-09-30_final
2019-09-30 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2019-09-30_final
2019-09-30 09:44:54	ga_s2bm_ard_3-2-1_56JKN_2019-09-30_final
2019-09-30 09:44:57	ga_s2bm_ard_3-2-1_55JGH_2019-09-30_final
2019-09-30 09:45:01	ga_s2bm_ard_3-2-1_55JFH_2019-09-30_final
2019-09-30 09:45:11	ga_s2bm_ard_3-2-1_55JGG_2019-09-30_final
2019-09-30 09:45:19	ga_s2bm_ard_3-2-1_55JEG_2019-09-30_final
2019-09-30 09:45:22	ga_s2bm_ard_3-2-1_56JKL_2019-09-30_final
2019-09-30 09:45:26	ga_s2bm_ard_3-2-1_55JGF_2019-09-30_final
2019-09-30 09:45:44	ga_s2bm_ard_3-2-1_55HFE_2019-09-30_final
2019-09-30 09:45:51	ga_s2bm_ard_3-2-1_55HDE_2019-09-30_final
2019-09-30 09:45:55	ga_s2bm_ard_3-2-1_55HGD_2019-09-30_final
2019-09-30 09:45:59	ga_s2bm_ard_3-2-1_55HFD_2019-09-30_final
2019-09-30 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-09-30_final
2019-09-30 09:46:06	ga_s2bm_ard_3-2-1_55HDD_2019-09-30_final
2019-09-30 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2019-09-30_final
2019-09-30 09:46:13	ga_s2bm_ard_3-2-1_55HFC_2019-09-30_final
2019-09-30 09:46:28	ga_s2bm_ard_3-2-1_55HCC_2019-09-30_final
2019-09-30 09:46:39	ga_s2bm_ard_3-2-1_55HCB_2019-09-30_final
2019-09-30 09:46:42	ga_s2bm_ard_3-2-1_55HFA_2019-09-30_final
2019-09-30 09:46:53	ga_s2bm_ard_3-2-1_55HCA_2019-09-30_final
2019-09-30 09:46:55	ga_s2bm_ard_3-2-1_55HFV_2019-09-30_final
2019-09-30 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2019-09-30_final
2019-09-30 09:46:59	ga_s2bm_ard_3-2-1_55HDV_2019-09-30_final
2019-09-30 09:47:00	ga_s2bm_ard_3-2-1_55HCA_2019-09-30_final
2019-09-30 09:47:00	ga_s2bm_ard_3-2-1_55HCV_2019-09-30_final
2019-09-30 09:47:02	ga_s2bm_ard_3-2-1_55HFV_2019-09-30_final
2019-09-30 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2019-09-30_final
2019-09-30 09:47:06	ga_s2bm_ard_3-2-1_55HDV_2019-09-30_final
2019-09-30 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2019-09-30_final
2019-09-30 09:47:10	ga_s2bm_ard_3-2-1_55HFU_2019-09-30_final.stac-item
2019-09-30 09:47:19	ga_s2bm_ard_3-2-1_55HDU_2019-09-30_final
2019-09-30 09:47:20	ga_s2bm_ard_3-2-1_55HFT_2019-09-30_final.stac-item
2019-09-30 09:47:29	ga_s2bm_ard_3-2-1_55HET_2019-09-30_final
2019-09-30 09:47:30	ga_s2bm_ard_3-2-1_55HBU_2019-09-30_final
2019-09-30 09:47:33	ga_s2bm_ard_3-2-1_55HDT_2019-09-30_final
2019-09-30 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2019-09-30_final
2019-09-30 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2019-09-30_final
2019-09-30 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2019-09-30_final
2019-09-30 09:48:45	ga_s2bm_ard_3-2-1_55GDN_2019-09-30_final
2019-09-30 09:48:49	ga_s2bm_ard_3-2-1_55GCN_2019-09-30_final
2019-09-30 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2019-09-30_final.stac-item
2019-09-30 09:49:00	ga_s2bm_ard_3-2-1_55GCM_2019-09-30_final.stac-item
2019-09-30 11:21:36	ga_s2bm_ard_3-2-1_52LCJ_2019-09-30_final
2019-09-30 11:21:39	ga_s2bm_ard_3-2-1_52LBJ_2019-09-30_final
2019-09-30 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2019-09-30_final
2019-09-30 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2019-09-30_final
2019-09-30 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2019-09-30_final
2019-09-30 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2019-09-30_final
2019-09-30 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2019-09-30_final
2019-09-30 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2019-09-30_final
2019-09-30 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-09-30_final
2019-09-30 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-09-30_final
2019-09-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-09-30_final
2019-09-30 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2019-09-30_final
2019-09-30 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2019-09-30_final
2019-09-30 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-09-30_final
2019-09-30 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2019-09-30_final
2019-09-30 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-09-30_final
2019-09-30 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2019-09-30_final
2019-09-30 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2019-09-30_final
2019-09-30 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2019-09-30_final
2019-09-30 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2019-09-30_final
2019-09-30 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2019-09-30_final
2019-09-30 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2019-09-30_final
2019-09-30 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2019-09-30_final
2019-09-30 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2019-09-30_final
2019-09-30 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2019-09-30_final
2019-09-30 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-09-30_final
2019-09-30 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2019-09-30_final
2019-09-30 11:25:34	ga_s2bm_ard_3-2-1_51JYH_2019-09-30_final
2019-09-30 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2019-09-30_final
2019-09-30 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2019-09-30_final
2019-09-30 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2019-09-30_final
2019-09-30 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2019-09-30_final
2019-09-30 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2019-09-30_final
2019-09-30 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2019-09-30_final
2019-09-30 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2019-09-30_final
2019-09-30 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-09-30_final
2019-09-30 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2019-09-30_final
2019-09-30 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2019-09-30_final
2019-09-30 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2019-09-30_final
2019-09-30 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-09-30_final
2019-09-30 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2019-09-30_final.stac-item
2019-09-30 11:26:53	ga_s2bm_ard_3-2-1_51HWC_2019-09-30_final.stac-item
2019-09-30 11:26:56	ga_s2bm_ard_3-2-1_51HXC_2019-09-30_final.stac-item
2019-09-30 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2019-09-30_final
2019-09-30 11:27:00	ga_s2bm_ard_3-2-1_51HWC_2019-09-30_final.stac-item
2019-09-30 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2019-09-30_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