Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFJ_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFK_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFL_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFM_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFN_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFA_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFB_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFP_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFQ_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFR_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFS_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFT_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFU_2018-03-12_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55KFA_2018-03-15_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55KFB_2018-03-15_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55LFC_2018-03-15_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFJ_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFK_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFL_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFM_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFN_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFA_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFB_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFP_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFQ_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFR_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFS_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFT_2018-03-22_final.stac-item
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55KFU_2018-03-22_final.stac-item
2019-07-29 09:36:40	ga_s2bm_ard_3-2-1_55HFB_2019-07-29_final.stac-item
2019-07-29 09:36:54	ga_s2bm_ard_3-2-1_55HFA_2019-07-29_final.stac-item
2019-07-29 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-07-29_final.stac-item
2019-07-29 09:37:08	ga_s2bm_ard_3-2-1_55HFV_2019-07-29_final.stac-item
2019-07-29 09:37:12	ga_s2bm_ard_3-2-1_55HEV_2019-07-29_final.stac-item
2019-07-29 09:37:27	ga_s2bm_ard_3-2-1_55HEU_2019-07-29_final.stac-item
2019-07-29 09:37:41	ga_s2bm_ard_3-2-1_55HET_2019-07-29_final.stac-item
2019-07-29 09:37:54	ga_s2bm_ard_3-2-1_55HES_2019-07-29_final.stac-item
2019-07-29 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-07-29_final.stac-item
2019-07-29 09:38:01	ga_s2bm_ard_3-2-1_55GER_2019-07-29_final.stac-item
2019-07-29 09:38:01	ga_s2bm_ard_3-2-1_55HES_2019-07-29_final.stac-item
2019-07-29 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-07-29_final.stac-item
2019-07-29 09:38:10	ga_s2bm_ard_3-2-1_55GER_2019-07-29_final.stac-item
2019-07-29 09:38:20	ga_s2bm_ard_3-2-1_55GFQ_2019-07-29_final.stac-item
2019-07-29 09:38:24	ga_s2bm_ard_3-2-1_55GEQ_2019-07-29_final.stac-item
2019-07-29 09:38:35	ga_s2bm_ard_3-2-1_55GFP_2019-07-29_final.stac-item
2019-08-01 09:44:25	ga_s2bm_ard_3-2-1_55JFL_2019-08-01_final.stac-item
2019-08-01 09:44:35	ga_s2bm_ard_3-2-1_55JFK_2019-08-01_final.stac-item
2019-08-01 09:44:42	ga_s2bm_ard_3-2-1_55JFK_2019-08-01_final.stac-item
2019-08-01 09:44:54	ga_s2bm_ard_3-2-1_55JFJ_2019-08-01_final.stac-item
2019-08-01 09:45:09	ga_s2bm_ard_3-2-1_55JFH_2019-08-01_final.stac-item
2019-08-01 09:45:23	ga_s2bm_ard_3-2-1_55JFG_2019-08-01_final.stac-item
2019-08-01 09:45:38	ga_s2bm_ard_3-2-1_55JFF_2019-08-01_final.stac-item
2019-08-01 09:45:52	ga_s2bm_ard_3-2-1_55HFE_2019-08-01_final.stac-item
2019-08-01 09:46:06	ga_s2bm_ard_3-2-1_55HFD_2019-08-01_final.stac-item
2019-08-01 09:46:21	ga_s2bm_ard_3-2-1_55HFC_2019-08-01_final.stac-item
2019-08-01 09:46:35	ga_s2bm_ard_3-2-1_55HFB_2019-08-01_final.stac-item
2019-08-05 09:28:38	ga_s2bm_ard_3-2-1_55GFP_2019-08-04_final.stac-item
2019-08-05 09:28:45	ga_s2bm_ard_3-2-1_55GEP_2019-08-04_final.stac-item
2019-08-05 09:28:52	ga_s2bm_ard_3-2-1_55GFN_2019-08-04_final.stac-item
2019-08-05 09:28:56	ga_s2bm_ard_3-2-1_55GEN_2019-08-04_final.stac-item
2019-08-08 09:38:23	ga_s2bm_ard_3-2-1_55GEQ_2019-08-08_final.stac-item
2019-08-08 09:38:34	ga_s2bm_ard_3-2-1_55GFP_2019-08-08_final.stac-item
2019-08-08 09:38:38	ga_s2bm_ard_3-2-1_55GEP_2019-08-08_final.stac-item
2019-08-08 09:38:48	ga_s2bm_ard_3-2-1_55GFN_2019-08-08_final.stac-item
2019-08-08 09:38:52	ga_s2bm_ard_3-2-1_55GEN_2019-08-08_final.stac-item
2019-08-11 09:46:20	ga_s2bm_ard_3-2-1_55HFC_2019-08-11_final.stac-item
2019-08-11 09:46:34	ga_s2bm_ard_3-2-1_55HFB_2019-08-11_final.stac-item
2019-08-11 09:46:49	ga_s2bm_ard_3-2-1_55HFA_2019-08-11_final.stac-item
2019-08-11 09:46:52	ga_s2bm_ard_3-2-1_55HEA_2019-08-11_final.stac-item
2019-08-11 09:47:03	ga_s2bm_ard_3-2-1_55HFV_2019-08-11_final.stac-item
2019-08-11 09:47:07	ga_s2bm_ard_3-2-1_55HEV_2019-08-11_final.stac-item
2019-08-11 09:47:21	ga_s2bm_ard_3-2-1_55HEU_2019-08-11_final.stac-item
2019-08-18 09:37:24	ga_s2bm_ard_3-2-1_55HEU_2019-08-18_final.stac-item
2019-08-18 09:37:39	ga_s2bm_ard_3-2-1_55HET_2019-08-18_final.stac-item
2019-08-18 09:37:52	ga_s2bm_ard_3-2-1_55HES_2019-08-18_final.stac-item
2019-08-18 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-08-18_final.stac-item
2019-08-18 09:37:59	ga_s2bm_ard_3-2-1_55GER_2019-08-18_final.stac-item
2019-08-18 09:37:59	ga_s2bm_ard_3-2-1_55HES_2019-08-18_final.stac-item
2019-08-18 09:38:04	ga_s2bm_ard_3-2-1_55GFR_2019-08-18_final.stac-item
2019-08-18 09:38:08	ga_s2bm_ard_3-2-1_55GER_2019-08-18_final.stac-item
2019-08-18 09:38:18	ga_s2bm_ard_3-2-1_55GFQ_2019-08-18_final.stac-item
2019-08-18 09:38:22	ga_s2bm_ard_3-2-1_55GEQ_2019-08-18_final.stac-item
2019-08-18 09:38:32	ga_s2bm_ard_3-2-1_55GFP_2019-08-18_final.stac-item
2019-08-18 09:38:37	ga_s2bm_ard_3-2-1_55GEP_2019-08-18_final.stac-item
2019-08-18 09:38:47	ga_s2bm_ard_3-2-1_55GFN_2019-08-18_final.stac-item
2019-08-18 09:38:51	ga_s2bm_ard_3-2-1_55GEN_2019-08-18_final.stac-item
2019-08-21 09:44:23	ga_s2bm_ard_3-2-1_55JFL_2019-08-21_final.stac-item
2019-08-21 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2019-08-21_final.stac-item
2019-08-21 09:44:39	ga_s2bm_ard_3-2-1_55JFK_2019-08-21_final.stac-item
2019-08-21 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2019-08-21_final.stac-item
2019-11-13 09:28:32	ga_s2bm_ard_3-2-1_55GFP_2019-11-12_final.stac-item
2019-11-13 09:28:37	ga_s2bm_ard_3-2-1_55GEP_2019-11-12_final.stac-item
2019-11-19 09:44:15	ga_s2bm_ard_3-2-1_55JFL_2019-11-19_final.stac-item
2019-11-19 09:44:29	ga_s2bm_ard_3-2-1_55JFK_2019-11-19_final.stac-item
2019-11-19 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2019-11-19_final.stac-item
2019-11-19 09:44:59	ga_s2bm_ard_3-2-1_55JFH_2019-11-19_final.stac-item
2019-11-19 09:45:13	ga_s2bm_ard_3-2-1_55JFG_2019-11-19_final.stac-item
2019-11-19 09:45:27	ga_s2bm_ard_3-2-1_55JFF_2019-11-19_final.stac-item
2019-11-19 09:45:42	ga_s2bm_ard_3-2-1_55HFE_2019-11-19_final.stac-item
2019-11-19 09:45:56	ga_s2bm_ard_3-2-1_55HFD_2019-11-19_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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