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
2017-01-27 10:12:43	ga_s2am_ard_3-2-1_54HVE_2017-01-27_final.stac-item
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55HCV_2017-01-28_final.stac-item
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55HDV_2017-01-28_final.stac-item
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55HEV_2017-01-28_final.stac-item
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55HFV_2017-01-28_final.stac-item
2017-02-06 10:13:02	ga_s2am_ard_3-2-1_54HVE_2017-02-06_final.stac-item
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_55HCV_2017-02-07_final.stac-item
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_55HDV_2017-02-07_final.stac-item
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_55HEV_2017-02-07_final.stac-item
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_55HFV_2017-02-07_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HVE_2017-02-13_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HWE_2017-02-13_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HXD_2017-02-13_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HXE_2017-02-13_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HYD_2017-02-13_final.stac-item
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_54HYE_2017-02-13_final.stac-item
2017-02-14 09:32:12	ga_s2am_ard_3-2-1_55HEV_2017-02-14_final.stac-item
2017-02-14 09:32:12	ga_s2am_ard_3-2-1_55HFV_2017-02-14_final.stac-item
2017-02-14 09:32:12	ga_s2am_ard_3-2-1_55HGV_2017-02-14_final.stac-item
2017-02-16 10:12:41	ga_s2am_ard_3-2-1_54HVE_2017-02-16_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55HCV_2017-02-17_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55HDV_2017-02-17_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55HEV_2017-02-17_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55HFV_2017-02-17_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_54HXD_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_54HXE_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_54HYD_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_54HYE_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HBU_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HBV_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HCU_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HCV_2017-02-20_final.stac-item
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HDV_2017-02-20_final.stac-item
2017-02-21 09:22:38	ga_s2am_ard_3-2-1_55HGV_2017-02-20_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HVE_2017-02-23_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HWE_2017-02-23_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HXD_2017-02-23_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HXE_2017-02-23_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HYD_2017-02-23_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HYE_2017-02-23_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HVE_2017-03-15_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HWE_2017-03-15_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HXD_2017-03-15_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HXE_2017-03-15_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HYD_2017-03-15_final.stac-item
2017-03-15 10:06:32	ga_s2am_ard_3-2-1_54HYE_2017-03-15_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HCV_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HDV_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HEV_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HFV_2017-03-29_final.stac-item
2017-04-04 10:06:38	ga_s2am_ard_3-2-1_54HVE_2017-04-04_final.stac-item
2017-05-15 09:36:59	ga_s2am_ard_3-2-1_55HEV_2017-05-15_final.stac-item
2017-05-15 09:36:59	ga_s2am_ard_3-2-1_55HFV_2017-05-15_final.stac-item
2017-05-15 09:36:59	ga_s2am_ard_3-2-1_55HGV_2017-05-15_final.stac-item
2017-05-27 10:16:33	ga_s2am_ard_3-2-1_54HVE_2017-05-27_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HXD_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HXE_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HYD_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HYE_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HBU_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HBV_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HCU_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HCV_2017-06-10_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HDV_2017-06-10_final.stac-item
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55HCV_2018-06-12_final.stac-item
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55HDV_2018-06-12_final.stac-item
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55HEV_2018-06-12_final.stac-item
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55HFV_2018-06-12_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_54HXD_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_54HXE_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_54HYD_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_54HYE_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55HBU_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55HBV_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55HCU_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55HCV_2018-06-15_final.stac-item
2018-06-15 09:50:53	ga_s2am_ard_3-2-1_55HDV_2018-06-15_final.stac-item
2018-06-19 09:32:58	ga_s2am_ard_3-2-1_55HEV_2018-06-19_final.stac-item
2018-06-19 09:32:58	ga_s2am_ard_3-2-1_55HFV_2018-06-19_final.stac-item
2018-06-19 09:32:58	ga_s2am_ard_3-2-1_55HGV_2018-06-19_final.stac-item
2018-06-21 10:07:04	ga_s2am_ard_3-2-1_54HVE_2018-06-21_final.stac-item
2018-06-22 09:45:32	ga_s2am_ard_3-2-1_55HCV_2018-06-22_final.stac-item
2018-06-22 09:45:32	ga_s2am_ard_3-2-1_55HDV_2018-06-22_final.stac-item
2018-06-22 09:45:32	ga_s2am_ard_3-2-1_55HEV_2018-06-22_final.stac-item
2018-06-22 09:45:32	ga_s2am_ard_3-2-1_55HFV_2018-06-22_final.stac-item
2018-06-26 09:25:16	ga_s2am_ard_3-2-1_55HGV_2018-06-25_final.stac-item
2018-06-29 09:32:41	ga_s2am_ard_3-2-1_55HEV_2018-06-29_final.stac-item
2018-06-29 09:32:41	ga_s2am_ard_3-2-1_55HFV_2018-06-29_final.stac-item
2018-06-29 09:32:41	ga_s2am_ard_3-2-1_55HGV_2018-06-29_final.stac-item
2018-07-01 10:12:01	ga_s2am_ard_3-2-1_54HVE_2018-07-01_final.stac-item
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55HCV_2018-07-12_final.stac-item
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55HDV_2018-07-12_final.stac-item
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55HEV_2018-07-12_final.stac-item
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55HFV_2018-07-12_final.stac-item
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_55HEV_2018-07-19_final.stac-item
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_55HFV_2018-07-19_final.stac-item
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_55HGV_2018-07-19_final.stac-item
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55HCV_2018-07-22_final.stac-item
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55HDV_2018-07-22_final.stac-item
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55HEV_2018-07-22_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