Search ga_s2am_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
2018-12-22 09:56:26	ga_s2am_ard_3-2-1_55HCB_2018-12-22_final
2018-12-29 09:46:32	ga_s2am_ard_3-2-1_55HCB_2018-12-29_final
2019-01-01 09:56:28	ga_s2am_ard_3-2-1_55HCB_2019-01-01_final
2019-01-08 09:46:34	ga_s2am_ard_3-2-1_55HCB_2019-01-08_final
2019-01-11 09:56:29	ga_s2am_ard_3-2-1_55HCB_2019-01-11_final
2019-01-18 09:46:35	ga_s2am_ard_3-2-1_55HCB_2019-01-18_final
2019-01-21 09:56:30	ga_s2am_ard_3-2-1_55HCB_2019-01-21_final
2019-01-28 09:46:35	ga_s2am_ard_3-2-1_55HCB_2019-01-28_final
2019-01-31 09:56:31	ga_s2am_ard_3-2-1_55HCB_2019-01-31_final
2019-02-07 09:46:35	ga_s2am_ard_3-2-1_55HCB_2019-02-07_final
2019-02-10 09:56:31	ga_s2am_ard_3-2-1_55HCB_2019-02-10_final
2019-02-17 09:46:35	ga_s2am_ard_3-2-1_55HCB_2019-02-17_final
2019-02-20 09:56:30	ga_s2am_ard_3-2-1_55HCB_2019-02-20_final
2019-02-27 09:46:34	ga_s2am_ard_3-2-1_55HCB_2019-02-27_final
2019-03-02 09:56:29	ga_s2am_ard_3-2-1_55HCB_2019-03-02_final
2019-03-09 09:46:33	ga_s2am_ard_3-2-1_55HCB_2019-03-09_final
2019-03-12 09:56:29	ga_s2am_ard_3-2-1_55HCB_2019-03-12_final
2019-03-19 09:46:36	ga_s2am_ard_3-2-1_55HCB_2019-03-19_final
2019-03-22 09:56:32	ga_s2am_ard_3-2-1_55HCB_2019-03-22_final
2019-03-29 09:46:38	ga_s2am_ard_3-2-1_55HCB_2019-03-29_final
2019-04-01 09:56:34	ga_s2am_ard_3-2-1_55HCB_2019-04-01_final
2019-04-08 09:46:40	ga_s2am_ard_3-2-1_55HCB_2019-04-08_final
2019-04-11 09:56:36	ga_s2am_ard_3-2-1_55HCB_2019-04-11_final
2019-04-18 09:46:41	ga_s2am_ard_3-2-1_55HCB_2019-04-18_final
2019-04-21 09:56:37	ga_s2am_ard_3-2-1_55HCB_2019-04-21_final
2019-04-28 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-04-28_final
2019-05-01 09:56:38	ga_s2am_ard_3-2-1_55HCB_2019-05-01_final
2019-05-08 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-05-08_final
2019-05-11 09:56:38	ga_s2am_ard_3-2-1_55HCB_2019-05-11_final
2019-05-18 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-05-18_final
2019-05-21 09:56:38	ga_s2am_ard_3-2-1_55HCB_2019-05-21_final
2019-05-28 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-05-28_final
2019-05-31 09:56:37	ga_s2am_ard_3-2-1_55HCB_2019-05-31_final
2019-06-07 09:46:41	ga_s2am_ard_3-2-1_55HCB_2019-06-07_final
2019-06-10 09:56:37	ga_s2am_ard_3-2-1_55HCB_2019-06-10_final
2019-06-17 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-06-17_final
2019-06-20 09:56:38	ga_s2am_ard_3-2-1_55HCB_2019-06-20_final
2019-06-27 09:46:43	ga_s2am_ard_3-2-1_55HCB_2019-06-27_final
2019-06-30 09:56:39	ga_s2am_ard_3-2-1_55HCB_2019-06-30_final
2019-07-07 09:46:44	ga_s2am_ard_3-2-1_55HCB_2019-07-07_final
2019-07-10 09:56:39	ga_s2am_ard_3-2-1_55HCB_2019-07-10_final
2019-07-17 09:46:44	ga_s2am_ard_3-2-1_55HCB_2019-07-17_final
2019-07-20 09:56:39	ga_s2am_ard_3-2-1_55HCB_2019-07-20_final
2019-07-27 09:46:43	ga_s2am_ard_3-2-1_55HCB_2019-07-27_final
2019-07-30 09:56:39	ga_s2am_ard_3-2-1_55HCB_2019-07-30_final
2019-08-06 09:46:43	ga_s2am_ard_3-2-1_55HCB_2019-08-06_final
2019-08-09 09:56:38	ga_s2am_ard_3-2-1_55HCB_2019-08-09_final
2019-08-16 09:46:42	ga_s2am_ard_3-2-1_55HCB_2019-08-16_final
2019-08-19 09:56:37	ga_s2am_ard_3-2-1_55HCB_2019-08-19_final
2019-11-17 09:56:36	ga_s2am_ard_3-2-1_55HCB_2019-11-17_final
2019-12-04 09:46:37	ga_s2am_ard_3-2-1_55HCB_2019-12-04_final
2019-12-27 09:56:29	ga_s2am_ard_3-2-1_55HCB_2019-12-27_final
2020-01-03 09:46:33	ga_s2am_ard_3-2-1_55HCB_2020-01-03_final
2020-01-06 09:56:28	ga_s2am_ard_3-2-1_55HCB_2020-01-06_final
2020-01-26 09:56:27	ga_s2am_ard_3-2-1_55HCB_2020-01-26_final
2020-02-25 09:56:29	ga_s2am_ard_3-2-1_55HCB_2020-02-25_final
2020-04-12 09:46:37	ga_s2am_ard_3-2-1_55HCB_2020-04-12_final
2020-04-15 09:56:33	ga_s2am_ard_3-2-1_55HCB_2020-04-15_final
2020-04-22 09:46:40	ga_s2am_ard_3-2-1_55HCB_2020-04-22_final
2021-04-29 10:26:37	ga_s2am_ard_3-2-1_54HUG_2021-04-29_final
2021-05-06 10:16:44	ga_s2am_ard_3-2-1_54HUG_2021-05-06_final
2021-05-09 10:26:39	ga_s2am_ard_3-2-1_54HUG_2021-05-09_final
2021-05-16 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-05-16_final
2021-05-19 10:26:40	ga_s2am_ard_3-2-1_54HUG_2021-05-19_final
2021-05-26 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-05-26_final
2021-05-29 10:26:41	ga_s2am_ard_3-2-1_54HUG_2021-05-29_final
2021-06-05 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-06-05_final
2021-06-08 10:26:41	ga_s2am_ard_3-2-1_54HUG_2021-06-08_final
2021-06-15 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-06-15_final
2021-06-18 10:26:40	ga_s2am_ard_3-2-1_54HUG_2021-06-18_final
2021-06-25 10:16:47	ga_s2am_ard_3-2-1_54HUG_2021-06-25_final
2021-06-28 10:26:42	ga_s2am_ard_3-2-1_54HUG_2021-06-28_final
2021-07-05 10:16:48	ga_s2am_ard_3-2-1_54HUG_2021-07-05_final
2021-07-08 10:26:43	ga_s2am_ard_3-2-1_54HUG_2021-07-08_final
2021-07-15 10:16:49	ga_s2am_ard_3-2-1_54HUG_2021-07-15_final
2021-07-18 10:26:43	ga_s2am_ard_3-2-1_54HUG_2021-07-18_final
2021-07-25 10:16:49	ga_s2am_ard_3-2-1_54HUG_2021-07-25_final
2021-07-28 10:26:43	ga_s2am_ard_3-2-1_54HUG_2021-07-28_final
2021-08-04 10:16:49	ga_s2am_ard_3-2-1_54HUG_2021-08-04_final
2021-08-07 10:26:43	ga_s2am_ard_3-2-1_54HUG_2021-08-07_final
2021-08-14 10:16:48	ga_s2am_ard_3-2-1_54HUG_2021-08-14_final
2021-08-17 10:26:43	ga_s2am_ard_3-2-1_54HUG_2021-08-17_final
2021-08-24 10:16:48	ga_s2am_ard_3-2-1_54HUG_2021-08-24_final
2021-08-27 10:26:42	ga_s2am_ard_3-2-1_54HUG_2021-08-27_final
2021-09-03 10:16:47	ga_s2am_ard_3-2-1_54HUG_2021-09-03_final
2021-09-06 10:26:41	ga_s2am_ard_3-2-1_54HUG_2021-09-06_final
2021-09-13 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-09-13_final
2021-09-16 10:26:42	ga_s2am_ard_3-2-1_54HUG_2021-09-16_final
2021-09-23 10:16:49	ga_s2am_ard_3-2-1_54HUG_2021-09-23_final
2021-09-26 10:26:44	ga_s2am_ard_3-2-1_54HUG_2021-09-26_final
2021-10-03 10:16:50	ga_s2am_ard_3-2-1_54HUG_2021-10-03_final
2021-10-13 10:16:51	ga_s2am_ard_3-2-1_54HUG_2021-10-13_final
2021-10-16 10:26:45	ga_s2am_ard_3-2-1_54HUG_2021-10-16_final
2021-10-23 10:16:51	ga_s2am_ard_3-2-1_54HUG_2021-10-23_final
2021-11-02 10:16:50	ga_s2am_ard_3-2-1_54HUG_2021-11-02_final
2021-11-05 10:26:44	ga_s2am_ard_3-2-1_54HUG_2021-11-05_final
2021-11-12 10:16:48	ga_s2am_ard_3-2-1_54HUG_2021-11-12_final
2021-11-15 10:26:41	ga_s2am_ard_3-2-1_54HUG_2021-11-15_final
2021-11-22 10:16:46	ga_s2am_ard_3-2-1_54HUG_2021-11-22_final
2021-12-02 10:16:45	ga_s2am_ard_3-2-1_54HUG_2021-12-02_final

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years