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
2019-05-02 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-05-02_final
2019-05-02 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-05-02_final
2019-05-02 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-05-02_final.stac-item
2019-05-03 09:41:31	ga_s2bm_ard_3-2-1_56KMG_2019-05-03_final.stac-item
2019-05-03 09:41:35	ga_s2bm_ard_3-2-1_56KLG_2019-05-03_final.stac-item
2019-05-03 09:41:46	ga_s2bm_ard_3-2-1_56KMF_2019-05-03_final.stac-item
2019-05-03 09:42:00	ga_s2bm_ard_3-2-1_56KME_2019-05-03_final.stac-item
2019-05-03 09:42:04	ga_s2bm_ard_3-2-1_56KLE_2019-05-03_final
2019-05-03 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-05-03_final.stac-item
2019-05-03 09:42:18	ga_s2bm_ard_3-2-1_56KLD_2019-05-03_final
2019-05-03 09:42:41	ga_s2bm_ard_3-2-1_55KGT_2019-05-03_final
2019-05-03 09:42:51	ga_s2bm_ard_3-2-1_55KHS_2019-05-03_final
2019-05-03 09:43:20	ga_s2bm_ard_3-2-1_55KHQ_2019-05-03_final
2019-05-03 09:43:34	ga_s2bm_ard_3-2-1_55KHP_2019-05-03_final
2019-05-03 09:43:46	ga_s2bm_ard_3-2-1_56JLT_2019-05-03_final
2019-05-03 09:43:49	ga_s2bm_ard_3-2-1_55JHN_2019-05-03_final
2019-05-03 09:43:56	ga_s2bm_ard_3-2-1_55JFN_2019-05-03_final
2019-05-03 09:44:03	ga_s2bm_ard_3-2-1_55JHM_2019-05-03_final
2019-05-03 09:44:13	ga_s2bm_ard_3-2-1_56JLR_2019-05-03_final
2019-05-03 09:44:31	ga_s2bm_ard_3-2-1_56JKQ_2019-05-03_final
2019-05-03 09:44:33	ga_s2bm_ard_3-2-1_55JGK_2019-05-03_final
2019-05-03 09:44:37	ga_s2bm_ard_3-2-1_55JEK_2019-05-03_final
2019-05-03 09:44:38	ga_s2bm_ard_3-2-1_56JKQ_2019-05-03_final
2019-05-03 09:44:40	ga_s2bm_ard_3-2-1_55JGK_2019-05-03_final
2019-05-03 09:44:44	ga_s2bm_ard_3-2-1_55JEK_2019-05-03_final
2019-05-03 09:44:54	ga_s2bm_ard_3-2-1_55JFJ_2019-05-03_final
2019-05-03 09:45:08	ga_s2bm_ard_3-2-1_55JFH_2019-05-03_final
2019-05-03 09:45:23	ga_s2bm_ard_3-2-1_55JFG_2019-05-03_final
2019-05-03 09:45:30	ga_s2bm_ard_3-2-1_56JKL_2019-05-03_final
2019-05-03 09:45:33	ga_s2bm_ard_3-2-1_55JGF_2019-05-03_final
2019-05-03 09:45:55	ga_s2bm_ard_3-2-1_55HEE_2019-05-03_final
2019-05-03 09:45:59	ga_s2bm_ard_3-2-1_55HDE_2019-05-03_final
2019-05-03 09:46:06	ga_s2bm_ard_3-2-1_55HFD_2019-05-03_final
2019-05-03 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-05-03_final
2019-05-03 09:46:13	ga_s2bm_ard_3-2-1_55HDD_2019-05-03_final
2019-05-03 09:46:21	ga_s2bm_ard_3-2-1_55HFC_2019-05-03_final
2019-05-03 09:47:04	ga_s2bm_ard_3-2-1_55HFV_2019-05-03_final
2019-05-03 09:47:08	ga_s2bm_ard_3-2-1_55HEV_2019-05-03_final
2019-05-03 09:47:12	ga_s2bm_ard_3-2-1_55HDV_2019-05-03_final
2019-05-03 09:47:15	ga_s2bm_ard_3-2-1_55HCV_2019-05-03_final
2019-05-03 09:47:27	ga_s2bm_ard_3-2-1_55HFT_2019-05-03_final.stac-item
2019-05-03 09:47:37	ga_s2bm_ard_3-2-1_55HET_2019-05-03_final
2019-05-03 09:47:41	ga_s2bm_ard_3-2-1_55HDT_2019-05-03_final
2019-05-03 09:47:44	ga_s2bm_ard_3-2-1_55HCT_2019-05-03_final
2019-05-03 09:47:48	ga_s2bm_ard_3-2-1_55HBT_2019-05-03_final
2019-05-03 09:47:52	ga_s2bm_ard_3-2-1_54HYC_2019-05-03_final
2019-05-03 09:48:06	ga_s2bm_ard_3-2-1_55GER_2019-05-03_final
2019-05-03 09:48:10	ga_s2bm_ard_3-2-1_55GDR_2019-05-03_final
2019-05-03 09:48:13	ga_s2bm_ard_3-2-1_55GCR_2019-05-03_final
2019-05-03 09:48:16	ga_s2bm_ard_3-2-1_55GBR_2019-05-03_final
2019-05-03 09:48:16	ga_s2bm_ard_3-2-1_54GYA_2019-05-03_final
2019-05-03 09:48:19	ga_s2bm_ard_3-2-1_55GEQ_2019-05-03_final
2019-05-03 09:48:31	ga_s2bm_ard_3-2-1_54GYV_2019-05-03_final.stac-item
2019-05-03 09:48:53	ga_s2bm_ard_3-2-1_55GDN_2019-05-03_final
2019-05-03 09:48:57	ga_s2bm_ard_3-2-1_55GCN_2019-05-03_final
2019-05-03 09:49:06	ga_s2bm_ard_3-2-1_55GDM_2019-05-03_final.stac-item
2019-05-03 09:49:08	ga_s2bm_ard_3-2-1_55GCM_2019-05-03_final.stac-item
2019-05-03 11:21:32	ga_s2bm_ard_3-2-1_52LBK_2019-05-03_final
2019-05-03 11:21:33	ga_s2bm_ard_3-2-1_51LZE_2019-05-03_final
2019-05-03 11:21:40	ga_s2bm_ard_3-2-1_52LDJ_2019-05-03_final
2019-05-03 11:21:43	ga_s2bm_ard_3-2-1_52LCJ_2019-05-03_final
2019-05-03 11:21:55	ga_s2bm_ard_3-2-1_52LDH_2019-05-03_final
2019-05-03 11:21:58	ga_s2bm_ard_3-2-1_52LCH_2019-05-03_final
2019-05-03 11:22:01	ga_s2bm_ard_3-2-1_52LBH_2019-05-03_final
2019-05-03 11:22:02	ga_s2bm_ard_3-2-1_51LZC_2019-05-03_final
2019-05-03 11:22:07	ga_s2bm_ard_3-2-1_51LYC_2019-05-03_final
2019-05-03 11:22:08	ga_s2bm_ard_3-2-1_52KDG_2019-05-03_final
2019-05-03 11:22:12	ga_s2bm_ard_3-2-1_52KCG_2019-05-03_final
2019-05-03 11:22:20	ga_s2bm_ard_3-2-1_52KDF_2019-05-03_final
2019-05-03 11:22:27	ga_s2bm_ard_3-2-1_52KCF_2019-05-03_final
2019-05-03 11:22:41	ga_s2bm_ard_3-2-1_52KCE_2019-05-03_final
2019-05-03 11:22:56	ga_s2bm_ard_3-2-1_52KCD_2019-05-03_final
2019-05-03 11:23:08	ga_s2bm_ard_3-2-1_51KXU_2019-05-03_final
2019-05-03 11:23:14	ga_s2bm_ard_3-2-1_52KBC_2019-05-03_final
2019-05-03 11:23:18	ga_s2bm_ard_3-2-1_51KYT_2019-05-03_final
2019-05-03 11:23:29	ga_s2bm_ard_3-2-1_51KZS_2019-05-03_final
2019-05-03 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2019-05-03_final
2019-05-03 11:23:58	ga_s2bm_ard_3-2-1_51KZQ_2019-05-03_final
2019-05-03 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-05-03_final
2019-05-03 11:24:12	ga_s2bm_ard_3-2-1_51KZP_2019-05-03_final
2019-05-03 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-05-03_final
2019-05-03 11:24:34	ga_s2bm_ard_3-2-1_51JXN_2019-05-03_final
2019-05-03 11:24:40	ga_s2bm_ard_3-2-1_51JZM_2019-05-03_final
2019-05-03 11:25:03	ga_s2bm_ard_3-2-1_51JXL_2019-05-03_final
2019-05-03 11:25:11	ga_s2bm_ard_3-2-1_51JVL_2019-05-03_final
2019-05-03 11:25:14	ga_s2bm_ard_3-2-1_51JYK_2019-05-03_final
2019-05-03 11:25:21	ga_s2bm_ard_3-2-1_51JWK_2019-05-03_final
2019-05-03 11:25:24	ga_s2bm_ard_3-2-1_51JVK_2019-05-03_final
2019-05-03 11:25:46	ga_s2bm_ard_3-2-1_51JXH_2019-05-03_final
2019-05-03 11:26:01	ga_s2bm_ard_3-2-1_51JXG_2019-05-03_final
2019-05-03 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-05-03_final
2019-05-03 11:26:13	ga_s2bm_ard_3-2-1_51JUG_2019-05-03_final
2019-05-03 11:26:19	ga_s2bm_ard_3-2-1_51JWF_2019-05-03_final
2019-05-03 11:26:22	ga_s2bm_ard_3-2-1_51JVF_2019-05-03_final
2019-05-03 11:26:33	ga_s2bm_ard_3-2-1_51HWE_2019-05-03_final
2019-05-03 11:26:37	ga_s2bm_ard_3-2-1_51HVE_2019-05-03_final
2019-05-03 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-05-03_final
2019-05-03 11:26:48	ga_s2bm_ard_3-2-1_51HWD_2019-05-03_final
2019-05-03 11:26:51	ga_s2bm_ard_3-2-1_51HVD_2019-05-03_final
2019-05-03 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-05-03_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