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
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HVE_2015-12-11_final.stac-item
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HWE_2015-12-11_final.stac-item
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HXD_2015-12-11_final.stac-item
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HXE_2015-12-11_final.stac-item
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HYD_2015-12-11_final.stac-item
2015-12-11 10:05:34	ga_s2am_ard_3-2-1_54HYE_2015-12-11_final.stac-item
2015-12-19 09:29:18	ga_s2am_ard_3-2-1_55HGV_2015-12-18_final.stac-item
2015-12-19 09:29:18	ga_s2am_ard_3-2-1_55HGU_2015-12-18_final
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_54HXD_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_54HXE_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_54HYD_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_54HYE_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55HBU_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55HBV_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55HCU_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55HCV_2015-12-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55HDV_2015-12-28_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55HEV_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55HFV_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55HGV_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55HFU_2016-01-01_final
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55HGU_2016-01-01_final
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55HCU_2016-01-14_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_55HGV_2016-01-17_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_55HGU_2016-01-17_final
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55HEV_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55HFV_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55HGV_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55HGU_2016-01-31_final
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55HFU_2016-01-31_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HTE_2016-11-08_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HVE_2016-11-08_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_53HQV_2016-11-08_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HUD_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HUE_2016-11-08_final
2016-11-16 09:36:36	ga_s2am_ard_3-2-1_55HEV_2016-11-16_final.stac-item
2016-11-16 09:36:36	ga_s2am_ard_3-2-1_55HFV_2016-11-16_final.stac-item
2016-11-16 09:36:36	ga_s2am_ard_3-2-1_55HGV_2016-11-16_final.stac-item
2016-11-16 09:36:36	ga_s2am_ard_3-2-1_55HFU_2016-11-16_final
2016-11-16 09:36:36	ga_s2am_ard_3-2-1_55HGU_2016-11-16_final
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_54HXD_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_54HXE_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_54HYD_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_54HYE_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55HBU_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55HBV_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55HCU_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55HCV_2016-11-22_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55HDV_2016-11-22_final.stac-item
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55HEV_2016-11-26_final.stac-item
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55HFV_2016-11-26_final.stac-item
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55HGV_2016-11-26_final.stac-item
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55HFU_2016-11-26_final
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55HGU_2016-11-26_final
2016-11-29 09:46:23	ga_s2am_ard_3-2-1_55HCU_2016-11-29_final.stac-item
2016-11-29 09:46:23	ga_s2am_ard_3-2-1_55HCV_2016-11-29_final.stac-item
2016-11-29 09:46:23	ga_s2am_ard_3-2-1_55HDV_2016-11-29_final.stac-item
2016-11-29 09:46:23	ga_s2am_ard_3-2-1_55HEV_2016-11-29_final.stac-item
2016-11-29 09:46:23	ga_s2am_ard_3-2-1_55HFV_2016-11-29_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_55HGV_2016-12-02_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_55HGU_2016-12-02_final
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HCU_2018-04-13_final.stac-item
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HCV_2018-04-13_final.stac-item
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HDV_2018-04-13_final.stac-item
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HEV_2018-04-13_final.stac-item
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HFV_2018-04-13_final.stac-item
2018-05-02 10:10:40	ga_s2am_ard_3-2-1_54HVE_2018-05-02_final.stac-item
2018-08-15 09:22:44	ga_s2am_ard_3-2-1_55HGV_2018-08-14_final.stac-item
2018-08-25 09:22:43	ga_s2am_ard_3-2-1_55HGV_2018-08-24_final.stac-item
2018-08-30 10:07:03	ga_s2am_ard_3-2-1_54HVE_2018-08-30_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HVE_2018-10-26_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HWE_2018-10-26_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HXD_2018-10-26_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HXE_2018-10-26_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HYD_2018-10-26_final.stac-item
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_54HYE_2018-10-26_final.stac-item
2018-11-13 09:26:56	ga_s2am_ard_3-2-1_55HGV_2018-11-12_final.stac-item
2019-10-09 09:27:03	ga_s2am_ard_3-2-1_55HGV_2019-10-08_final.stac-item
2019-10-12 09:36:59	ga_s2am_ard_3-2-1_55HGV_2019-10-12_final.stac-item
2019-10-12 09:37:03	ga_s2am_ard_3-2-1_55HFV_2019-10-12_final.stac-item
2019-10-12 09:37:06	ga_s2am_ard_3-2-1_55HEV_2019-10-12_final.stac-item
2019-10-15 09:46:59	ga_s2am_ard_3-2-1_55HFV_2019-10-15_final.stac-item
2019-10-15 09:47:03	ga_s2am_ard_3-2-1_55HEV_2019-10-15_final.stac-item
2019-10-15 09:47:07	ga_s2am_ard_3-2-1_55HDV_2019-10-15_final.stac-item
2019-10-15 09:47:10	ga_s2am_ard_3-2-1_55HCV_2019-10-15_final.stac-item
2019-10-15 09:47:25	ga_s2am_ard_3-2-1_55HCU_2019-10-15_final.stac-item
2019-10-19 09:27:04	ga_s2am_ard_3-2-1_55HGV_2019-10-18_final.stac-item
2019-10-25 09:46:59	ga_s2am_ard_3-2-1_55HFV_2019-10-25_final.stac-item
2019-10-25 09:47:03	ga_s2am_ard_3-2-1_55HEV_2019-10-25_final.stac-item
2019-10-25 09:47:07	ga_s2am_ard_3-2-1_55HDV_2019-10-25_final.stac-item
2019-10-25 09:47:10	ga_s2am_ard_3-2-1_55HCV_2019-10-25_final.stac-item
2019-10-25 09:47:25	ga_s2am_ard_3-2-1_55HCU_2019-10-25_final.stac-item
2019-10-28 09:57:01	ga_s2am_ard_3-2-1_55HDV_2019-10-28_final.stac-item
2019-10-28 09:57:06	ga_s2am_ard_3-2-1_55HCV_2019-10-28_final.stac-item
2019-10-28 09:57:10	ga_s2am_ard_3-2-1_55HBV_2019-10-28_final.stac-item
2019-10-28 09:57:11	ga_s2am_ard_3-2-1_54HYE_2019-10-28_final.stac-item
2019-10-28 09:57:15	ga_s2am_ard_3-2-1_54HXE_2019-10-28_final.stac-item
2019-10-28 09:57:21	ga_s2am_ard_3-2-1_55HCU_2019-10-28_final.stac-item
2019-10-28 09:57:24	ga_s2am_ard_3-2-1_55HBU_2019-10-28_final.stac-item
2019-10-28 09:57:25	ga_s2am_ard_3-2-1_54HYD_2019-10-28_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