Search ga_s2am_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
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFA_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFB_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFP_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFQ_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFR_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFS_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFT_2016-02-06_final.stac-item
2016-02-06 09:51:14	ga_s2am_ard_3-2-1_55KFU_2016-02-06_final.stac-item
2016-02-09 09:57:13	ga_s2am_ard_3-2-1_55KFA_2016-02-09_final.stac-item
2016-02-09 09:57:13	ga_s2am_ard_3-2-1_55KFB_2016-02-09_final.stac-item
2016-02-09 09:57:13	ga_s2am_ard_3-2-1_55LFC_2016-02-09_final.stac-item
2016-02-10 09:36:25	ga_s2am_ard_3-2-1_55HEA_2016-02-10_final.stac-item
2016-02-10 09:36:25	ga_s2am_ard_3-2-1_55HFA_2016-02-10_final.stac-item
2016-02-10 09:38:32	ga_s2am_ard_3-2-1_55GEN_2016-02-10_final.stac-item
2016-02-10 09:38:32	ga_s2am_ard_3-2-1_55GEM_2016-02-10_final
2016-02-20 09:38:31	ga_s2am_ard_3-2-1_55GEN_2016-02-20_final.stac-item
2016-02-20 09:38:31	ga_s2am_ard_3-2-1_55GEM_2016-02-20_final
2016-07-08 10:00:35	ga_s2am_ard_3-2-1_55KFA_2016-07-08_final.stac-item
2016-07-08 10:00:35	ga_s2am_ard_3-2-1_55KFB_2016-07-08_final.stac-item
2016-07-08 10:00:35	ga_s2am_ard_3-2-1_55LFC_2016-07-08_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HEA_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HEB_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HEC_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HEU_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HEV_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFA_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFB_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFC_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFD_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFV_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFU_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFT_2016-07-12_final
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55HFE_2016-07-12_final
2016-07-25 09:51:09	ga_s2am_ard_3-2-1_55KFA_2016-07-25_final.stac-item
2016-07-25 09:51:09	ga_s2am_ard_3-2-1_55KFB_2016-07-25_final.stac-item
2016-07-25 09:51:09	ga_s2am_ard_3-2-1_55KFT_2016-07-25_final.stac-item
2016-07-25 09:51:09	ga_s2am_ard_3-2-1_55KFU_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JFJ_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JFK_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JFL_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JFM_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JFN_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55KFP_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55KFQ_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55KFR_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55KFS_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55KFT_2016-07-25_final.stac-item
2018-08-21 09:41:08	ga_s2am_ard_3-2-1_55JFJ_2018-08-21_final.stac-item
2018-08-21 09:41:08	ga_s2am_ard_3-2-1_55JFL_2018-08-21_final.stac-item
2018-08-31 09:41:07	ga_s2am_ard_3-2-1_55HET_2018-08-31_final.stac-item
2018-08-31 09:41:07	ga_s2am_ard_3-2-1_55HEU_2018-08-31_final.stac-item
2018-08-31 09:41:07	ga_s2am_ard_3-2-1_55HEV_2018-08-31_final.stac-item
2018-08-31 09:41:07	ga_s2am_ard_3-2-1_55HFV_2018-08-31_final.stac-item
2019-01-08 09:45:25	ga_s2am_ard_3-2-1_55JFF_2019-01-08_final.stac-item
2019-01-08 09:45:39	ga_s2am_ard_3-2-1_55HFE_2019-01-08_final.stac-item
2019-01-08 09:45:53	ga_s2am_ard_3-2-1_55HFD_2019-01-08_final.stac-item
2019-01-08 09:46:08	ga_s2am_ard_3-2-1_55HFC_2019-01-08_final.stac-item
2019-01-08 09:46:12	ga_s2am_ard_3-2-1_55HEC_2019-01-08_final.stac-item
2019-01-08 09:46:22	ga_s2am_ard_3-2-1_55HFB_2019-01-08_final.stac-item
2019-01-08 09:46:26	ga_s2am_ard_3-2-1_55HEB_2019-01-08_final.stac-item
2019-01-08 09:46:37	ga_s2am_ard_3-2-1_55HFA_2019-01-08_final.stac-item
2019-01-08 09:46:41	ga_s2am_ard_3-2-1_55HEA_2019-01-08_final.stac-item
2019-01-08 09:46:51	ga_s2am_ard_3-2-1_55HFV_2019-01-08_final.stac-item
2019-01-08 09:46:55	ga_s2am_ard_3-2-1_55HEV_2019-01-08_final.stac-item
2019-01-08 09:47:09	ga_s2am_ard_3-2-1_55HEU_2019-01-08_final.stac-item
2019-06-27 09:44:22	ga_s2am_ard_3-2-1_55JFL_2019-06-27_final.stac-item
2019-06-27 09:44:36	ga_s2am_ard_3-2-1_55JFK_2019-06-27_final.stac-item
2019-06-27 09:44:50	ga_s2am_ard_3-2-1_55JFJ_2019-06-27_final.stac-item
2019-06-27 09:45:05	ga_s2am_ard_3-2-1_55JFH_2019-06-27_final.stac-item
2019-06-27 09:45:20	ga_s2am_ard_3-2-1_55JFG_2019-06-27_final.stac-item
2019-06-30 09:51:38	ga_s2am_ard_3-2-1_55KFB_2019-06-30_final.stac-item
2019-06-30 09:51:52	ga_s2am_ard_3-2-1_55KFA_2019-06-30_final.stac-item
2019-06-30 09:52:22	ga_s2am_ard_3-2-1_55KFU_2019-06-30_final.stac-item
2019-06-30 09:52:36	ga_s2am_ard_3-2-1_55KFT_2019-06-30_final.stac-item
2019-06-30 09:52:51	ga_s2am_ard_3-2-1_55KFS_2019-06-30_final.stac-item
2019-06-30 09:53:05	ga_s2am_ard_3-2-1_55KFR_2019-06-30_final.stac-item
2019-06-30 09:53:20	ga_s2am_ard_3-2-1_55KFQ_2019-06-30_final.stac-item
2019-06-30 09:53:34	ga_s2am_ard_3-2-1_55KFP_2019-06-30_final.stac-item
2019-06-30 09:53:48	ga_s2am_ard_3-2-1_55JFN_2019-06-30_final.stac-item
2019-06-30 09:54:03	ga_s2am_ard_3-2-1_55JFM_2019-06-30_final.stac-item
2019-06-30 09:54:17	ga_s2am_ard_3-2-1_55JFL_2019-06-30_final.stac-item
2019-06-30 09:54:32	ga_s2am_ard_3-2-1_55JFK_2019-06-30_final.stac-item
2019-06-30 09:54:45	ga_s2am_ard_3-2-1_55JFJ_2019-06-30_final.stac-item
2019-07-07 09:44:22	ga_s2am_ard_3-2-1_55JFL_2019-07-07_final.stac-item
2019-07-07 09:44:37	ga_s2am_ard_3-2-1_55JFK_2019-07-07_final.stac-item
2019-07-07 09:44:51	ga_s2am_ard_3-2-1_55JFJ_2019-07-07_final.stac-item
2019-07-07 09:45:06	ga_s2am_ard_3-2-1_55JFH_2019-07-07_final.stac-item
2019-07-07 09:45:20	ga_s2am_ard_3-2-1_55JFG_2019-07-07_final.stac-item
2019-07-07 09:45:35	ga_s2am_ard_3-2-1_55JFF_2019-07-07_final.stac-item
2019-07-07 09:45:49	ga_s2am_ard_3-2-1_55HFE_2019-07-07_final.stac-item
2019-07-07 09:46:04	ga_s2am_ard_3-2-1_55HFD_2019-07-07_final.stac-item
2019-07-07 09:46:18	ga_s2am_ard_3-2-1_55HFC_2019-07-07_final.stac-item
2019-07-07 09:46:22	ga_s2am_ard_3-2-1_55HEC_2019-07-07_final.stac-item
2019-07-07 09:46:32	ga_s2am_ard_3-2-1_55HFB_2019-07-07_final.stac-item
2019-07-07 09:46:36	ga_s2am_ard_3-2-1_55HEB_2019-07-07_final.stac-item
2019-07-07 09:46:47	ga_s2am_ard_3-2-1_55HFA_2019-07-07_final.stac-item
2019-07-07 09:46:51	ga_s2am_ard_3-2-1_55HEA_2019-07-07_final.stac-item
2019-07-07 09:47:01	ga_s2am_ard_3-2-1_55HFV_2019-07-07_final.stac-item
2019-07-07 09:47:05	ga_s2am_ard_3-2-1_55HEV_2019-07-07_final.stac-item
2019-07-07 09:47:19	ga_s2am_ard_3-2-1_55HEU_2019-07-07_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years