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
2020-07-05 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-07-05_final
2020-07-05 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-07-05_final
2020-07-05 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-07-05_final
2020-07-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-05_final
2020-07-05 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2020-07-05_final.stac-item
2020-07-06 09:41:26	ga_s2bm_ard_3-2-1_56KMG_2020-07-06_final.stac-item
2020-07-06 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2020-07-06_final.stac-item
2020-07-06 09:41:40	ga_s2bm_ard_3-2-1_56KMF_2020-07-06_final.stac-item
2020-07-06 09:41:43	ga_s2bm_ard_3-2-1_56KLF_2020-07-06_final
2020-07-06 09:41:54	ga_s2bm_ard_3-2-1_56KME_2020-07-06_final.stac-item
2020-07-06 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2020-07-06_final
2020-07-06 09:42:09	ga_s2bm_ard_3-2-1_56KMD_2020-07-06_final.stac-item
2020-07-06 09:42:13	ga_s2bm_ard_3-2-1_56KLD_2020-07-06_final
2020-07-06 09:42:38	ga_s2bm_ard_3-2-1_56KMB_2020-07-06_final.stac-item
2020-07-06 09:42:52	ga_s2bm_ard_3-2-1_56KMA_2020-07-06_final
2020-07-06 09:43:14	ga_s2bm_ard_3-2-1_55KHQ_2020-07-06_final
2020-07-06 09:43:43	ga_s2bm_ard_3-2-1_56JKT_2020-07-06_final
2020-07-06 09:43:47	ga_s2bm_ard_3-2-1_55JGN_2020-07-06_final
2020-07-06 09:44:05	ga_s2bm_ard_3-2-1_55JFM_2020-07-06_final
2020-07-06 09:44:12	ga_s2bm_ard_3-2-1_56JKR_2020-07-06_final
2020-07-06 09:44:16	ga_s2bm_ard_3-2-1_55JGL_2020-07-06_final
2020-07-06 09:44:27	ga_s2bm_ard_3-2-1_56JKQ_2020-07-06_final
2020-07-06 09:44:30	ga_s2bm_ard_3-2-1_55JGK_2020-07-06_final
2020-07-06 09:44:34	ga_s2bm_ard_3-2-1_55JFK_2020-07-06_final
2020-07-06 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2020-07-06_final
2020-07-06 09:44:41	ga_s2bm_ard_3-2-1_56JKP_2020-07-06_final
2020-07-06 09:44:44	ga_s2bm_ard_3-2-1_55JGJ_2020-07-06_final
2020-07-06 09:44:51	ga_s2bm_ard_3-2-1_55JEJ_2020-07-06_final
2020-07-06 09:45:03	ga_s2bm_ard_3-2-1_55JFH_2020-07-06_final
2020-07-06 09:45:06	ga_s2bm_ard_3-2-1_55JEH_2020-07-06_final
2020-07-06 09:45:10	ga_s2bm_ard_3-2-1_56JKM_2020-07-06_final
2020-07-06 09:45:13	ga_s2bm_ard_3-2-1_55JGG_2020-07-06_final
2020-07-06 09:45:27	ga_s2bm_ard_3-2-1_55JGF_2020-07-06_final
2020-07-06 09:45:35	ga_s2bm_ard_3-2-1_56HKK_2020-07-06_final
2020-07-06 09:45:57	ga_s2bm_ard_3-2-1_55HGD_2020-07-06_final
2020-07-06 09:46:01	ga_s2bm_ard_3-2-1_55HFD_2020-07-06_final
2020-07-06 09:46:04	ga_s2bm_ard_3-2-1_55HED_2020-07-06_final
2020-07-06 09:46:08	ga_s2bm_ard_3-2-1_55HDD_2020-07-06_final
2020-07-06 09:46:15	ga_s2bm_ard_3-2-1_55HFC_2020-07-06_final
2020-07-06 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2020-07-06_final
2020-07-06 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2020-07-06_final
2020-07-06 09:46:39	ga_s2bm_ard_3-2-1_55HEA_2020-07-06_final
2020-07-06 09:46:39	ga_s2bm_ard_3-2-1_55HEB_2020-07-06_final
2020-07-06 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2020-07-06_final
2020-07-06 09:46:58	ga_s2bm_ard_3-2-1_55HFV_2020-07-06_final
2020-07-06 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2020-07-06_final
2020-07-06 09:47:06	ga_s2bm_ard_3-2-1_55HDV_2020-07-06_final
2020-07-06 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-07-06_final
2020-07-06 09:48:00	ga_s2bm_ard_3-2-1_55GER_2020-07-06_final
2020-07-06 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2020-07-06_final
2020-07-06 09:48:07	ga_s2bm_ard_3-2-1_55GCR_2020-07-06_final
2020-07-06 09:48:11	ga_s2bm_ard_3-2-1_55GBR_2020-07-06_final
2020-07-06 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2020-07-06_final
2020-07-06 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2020-07-06_final
2020-07-06 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2020-07-06_final
2020-07-06 09:48:22	ga_s2bm_ard_3-2-1_55GCQ_2020-07-06_final
2020-07-06 09:48:24	ga_s2bm_ard_3-2-1_55GEP_2020-07-06_final
2020-07-06 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2020-07-06_final.stac-item
2020-07-06 09:48:25	ga_s2bm_ard_3-2-1_54GYV_2020-07-06_final.stac-item
2020-07-06 09:48:32	ga_s2bm_ard_3-2-1_55GDP_2020-07-06_final
2020-07-06 09:48:36	ga_s2bm_ard_3-2-1_55GCP_2020-07-06_final
2020-07-06 09:48:47	ga_s2bm_ard_3-2-1_55GDN_2020-07-06_final
2020-07-06 09:48:51	ga_s2bm_ard_3-2-1_55GCN_2020-07-06_final
2020-07-06 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2020-07-06_final.stac-item
2020-07-06 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2020-07-06_final.stac-item
2020-07-06 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2020-07-06_final
2020-07-06 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-07-06_final
2020-07-06 11:21:41	ga_s2bm_ard_3-2-1_52LBJ_2020-07-06_final
2020-07-06 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2020-07-06_final
2020-07-06 11:21:49	ga_s2bm_ard_3-2-1_52LDH_2020-07-06_final
2020-07-06 11:21:55	ga_s2bm_ard_3-2-1_52LBH_2020-07-06_final
2020-07-06 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2020-07-06_final
2020-07-06 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2020-07-06_final
2020-07-06 11:22:03	ga_s2bm_ard_3-2-1_52KDG_2020-07-06_final
2020-07-06 11:22:07	ga_s2bm_ard_3-2-1_52KCG_2020-07-06_final
2020-07-06 11:22:21	ga_s2bm_ard_3-2-1_52KCF_2020-07-06_final
2020-07-06 11:22:35	ga_s2bm_ard_3-2-1_52KCE_2020-07-06_final
2020-07-06 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2020-07-06_final
2020-07-06 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2020-07-06_final
2020-07-06 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2020-07-06_final
2020-07-06 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2020-07-06_final
2020-07-06 11:24:21	ga_s2bm_ard_3-2-1_52JBT_2020-07-06_final
2020-07-06 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2020-07-06_final
2020-07-06 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-07-06_final
2020-07-06 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2020-07-06_final
2020-07-06 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2020-07-06_final
2020-07-06 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2020-07-06_final
2020-07-06 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2020-07-06_final
2020-07-06 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2020-07-06_final
2020-07-06 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2020-07-06_final
2020-07-06 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2020-07-06_final
2020-07-06 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2020-07-06_final
2020-07-06 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2020-07-06_final
2020-07-06 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2020-07-06_final
2020-07-06 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-07-06_final
2020-07-06 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2020-07-06_final
2020-07-06 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2020-07-06_final
2020-07-06 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2020-07-06_final
2020-07-06 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-07-06_final.stac-item
2020-07-06 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-07-06_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