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
2019-06-07 09:43:43	ga_s2am_ard_3-2-1_55JHN_2019-06-07_final
2019-08-26 09:43:43	ga_s2am_ard_3-2-1_55JHN_2019-08-26_final
2019-11-04 09:43:44	ga_s2am_ard_3-2-1_55JHN_2019-11-04_final
2019-12-04 09:43:39	ga_s2am_ard_3-2-1_55JHN_2019-12-04_final
2019-12-14 09:43:36	ga_s2am_ard_3-2-1_55JHN_2019-12-14_final
2019-12-24 09:43:35	ga_s2am_ard_3-2-1_55JHN_2019-12-24_final
2020-01-03 09:43:35	ga_s2am_ard_3-2-1_55JHN_2020-01-03_final
2020-01-13 09:43:35	ga_s2am_ard_3-2-1_55JHN_2020-01-13_final
2020-01-23 09:43:34	ga_s2am_ard_3-2-1_55JHN_2020-01-23_final
2020-02-02 09:43:33	ga_s2am_ard_3-2-1_55JHN_2020-02-02_final
2020-02-12 09:43:34	ga_s2am_ard_3-2-1_55JHN_2020-02-12_final
2020-02-22 09:43:35	ga_s2am_ard_3-2-1_55JHN_2020-02-22_final
2020-03-03 09:43:36	ga_s2am_ard_3-2-1_55JHN_2020-03-03_final
2020-03-13 09:43:37	ga_s2am_ard_3-2-1_55JHN_2020-03-13_final
2020-03-23 09:43:37	ga_s2am_ard_3-2-1_55JHN_2020-03-23_final
2020-04-02 09:43:37	ga_s2am_ard_3-2-1_55JHN_2020-04-02_final
2020-04-12 09:43:40	ga_s2am_ard_3-2-1_55JHN_2020-04-12_final
2020-04-22 09:43:42	ga_s2am_ard_3-2-1_55JHN_2020-04-22_final
2020-05-02 09:43:44	ga_s2am_ard_3-2-1_55JHN_2020-05-02_final
2020-05-12 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-05-12_final
2020-05-22 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-05-22_final
2020-06-01 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-06-01_final
2020-06-11 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-06-11_final
2020-06-21 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-06-21_final
2020-07-01 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-07-01_final
2020-07-11 09:43:45	ga_s2am_ard_3-2-1_55JHN_2020-07-11_final
2020-07-21 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-07-21_final
2020-07-31 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-07-31_final
2020-08-10 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-08-10_final
2020-08-20 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-08-20_final
2020-08-30 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-08-30_final
2020-09-09 09:43:45	ga_s2am_ard_3-2-1_55JHN_2020-09-09_final
2020-09-19 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-09-19_final
2020-09-29 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-09-29_final
2020-10-09 09:43:47	ga_s2am_ard_3-2-1_55JHN_2020-10-09_final
2020-10-19 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-10-19_final
2020-11-08 09:43:45	ga_s2am_ard_3-2-1_55JHN_2020-11-08_final
2020-11-18 09:43:44	ga_s2am_ard_3-2-1_55JHN_2020-11-18_final
2020-11-28 09:43:42	ga_s2am_ard_3-2-1_55JHN_2020-11-28_final
2020-12-08 09:43:38	ga_s2am_ard_3-2-1_55JHN_2020-12-08_final
2020-12-18 09:43:39	ga_s2am_ard_3-2-1_55JHN_2020-12-18_final
2020-12-28 09:43:41	ga_s2am_ard_3-2-1_55JHN_2020-12-28_final
2021-01-07 09:43:41	ga_s2am_ard_3-2-1_55JHN_2021-01-07_final
2021-01-17 09:43:42	ga_s2am_ard_3-2-1_55JHN_2021-01-17_final
2021-01-27 09:43:41	ga_s2am_ard_3-2-1_55JHN_2021-01-27_final
2021-02-06 09:43:40	ga_s2am_ard_3-2-1_55JHN_2021-02-06_final
2021-02-16 09:43:40	ga_s2am_ard_3-2-1_55JHN_2021-02-16_final
2021-02-26 09:43:41	ga_s2am_ard_3-2-1_55JHN_2021-02-26_final
2021-03-08 09:43:41	ga_s2am_ard_3-2-1_55JHN_2021-03-08_final
2021-03-18 09:43:40	ga_s2am_ard_3-2-1_55JHN_2021-03-18_final
2021-03-28 09:43:39	ga_s2am_ard_3-2-1_55JHN_2021-03-28_final
2021-04-07 09:43:37	ga_s2am_ard_3-2-1_55JHN_2021-04-07_final
2021-04-23 10:03:48	ga_s2am_ard_3-2-1_54JZT_2021-04-23_final
2021-04-26 10:13:42	ga_s2am_ard_3-2-1_54JZT_2021-04-26_final
2021-05-03 10:03:51	ga_s2am_ard_3-2-1_54JZT_2021-05-03_final
2021-05-06 10:13:44	ga_s2am_ard_3-2-1_54JZT_2021-05-06_final
2021-05-13 10:03:52	ga_s2am_ard_3-2-1_54JZT_2021-05-13_final
2021-05-16 10:13:45	ga_s2am_ard_3-2-1_54JZT_2021-05-16_final
2021-05-23 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-05-23_final
2021-05-26 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-05-26_final
2021-06-02 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-06-02_final
2021-06-05 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-06-05_final
2021-06-12 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-06-12_final
2021-06-15 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-06-15_final
2021-06-22 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-06-22_final
2021-06-25 10:13:47	ga_s2am_ard_3-2-1_54JZT_2021-06-25_final
2021-07-02 10:03:55	ga_s2am_ard_3-2-1_54JZT_2021-07-02_final
2021-07-05 10:13:48	ga_s2am_ard_3-2-1_54JZT_2021-07-05_final
2021-07-12 10:03:56	ga_s2am_ard_3-2-1_54JZT_2021-07-12_final
2021-07-15 10:13:48	ga_s2am_ard_3-2-1_54JZT_2021-07-15_final
2021-07-22 10:03:56	ga_s2am_ard_3-2-1_54JZT_2021-07-22_final
2021-07-25 10:13:49	ga_s2am_ard_3-2-1_54JZT_2021-07-25_final
2021-08-01 10:03:56	ga_s2am_ard_3-2-1_54JZT_2021-08-01_final
2021-08-04 10:13:48	ga_s2am_ard_3-2-1_54JZT_2021-08-04_final
2021-08-11 10:03:55	ga_s2am_ard_3-2-1_54JZT_2021-08-11_final
2021-08-14 10:13:48	ga_s2am_ard_3-2-1_54JZT_2021-08-14_final
2021-08-21 10:03:55	ga_s2am_ard_3-2-1_54JZT_2021-08-21_final
2021-08-24 10:13:47	ga_s2am_ard_3-2-1_54JZT_2021-08-24_final
2021-08-31 10:03:54	ga_s2am_ard_3-2-1_54JZT_2021-08-31_final
2021-09-03 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-09-03_final
2021-09-10 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-09-10_final
2021-09-13 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-09-13_final
2021-09-20 10:03:55	ga_s2am_ard_3-2-1_54JZT_2021-09-20_final
2021-09-23 10:13:48	ga_s2am_ard_3-2-1_54JZT_2021-09-23_final
2021-09-30 10:03:57	ga_s2am_ard_3-2-1_54JZT_2021-09-30_final
2021-10-03 10:13:50	ga_s2am_ard_3-2-1_54JZT_2021-10-03_final
2021-10-10 10:03:58	ga_s2am_ard_3-2-1_54JZT_2021-10-10_final
2021-10-13 10:13:50	ga_s2am_ard_3-2-1_54JZT_2021-10-13_final
2021-10-20 10:03:58	ga_s2am_ard_3-2-1_54JZT_2021-10-20_final
2021-10-23 10:13:50	ga_s2am_ard_3-2-1_54JZT_2021-10-23_final
2021-10-30 10:03:57	ga_s2am_ard_3-2-1_54JZT_2021-10-30_final
2021-11-02 10:13:49	ga_s2am_ard_3-2-1_54JZT_2021-11-02_final
2021-11-12 10:13:47	ga_s2am_ard_3-2-1_54JZT_2021-11-12_final
2021-11-19 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-11-19_final
2021-11-22 10:13:45	ga_s2am_ard_3-2-1_54JZT_2021-11-22_final
2021-11-29 10:03:52	ga_s2am_ard_3-2-1_54JZT_2021-11-29_final
2021-12-02 10:13:45	ga_s2am_ard_3-2-1_54JZT_2021-12-02_final
2021-12-09 10:03:51	ga_s2am_ard_3-2-1_54JZT_2021-12-09_final
2021-12-12 10:13:44	ga_s2am_ard_3-2-1_54JZT_2021-12-12_final
2021-12-19 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-12-19_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