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
2019-04-02 09:28:45	ga_s2am_ard_3-2-1_55GFN_2019-04-01_final
2019-04-05 09:38:42	ga_s2am_ard_3-2-1_55GFN_2019-04-05_final
2019-04-12 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-04-11_final
2019-04-15 09:38:43	ga_s2am_ard_3-2-1_55GFN_2019-04-15_final
2019-04-22 09:28:46	ga_s2am_ard_3-2-1_55GFN_2019-04-21_final
2019-04-22 09:28:52	ga_s2am_ard_3-2-1_55GFN_2019-04-21_final
2019-04-25 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-04-25_final
2019-05-02 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-05-01_final
2019-05-05 09:38:45	ga_s2am_ard_3-2-1_55GFN_2019-05-05_final
2019-05-12 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-05-11_final
2019-05-15 09:38:45	ga_s2am_ard_3-2-1_55GFN_2019-05-15_final
2019-05-22 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-05-21_final
2019-05-25 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-05-25_final
2019-06-01 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-05-31_final
2019-06-04 09:38:43	ga_s2am_ard_3-2-1_55GFN_2019-06-04_final
2019-06-11 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-06-10_final
2019-06-14 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-06-14_final
2019-06-21 09:28:49	ga_s2am_ard_3-2-1_55GFN_2019-06-20_final
2019-06-24 09:38:45	ga_s2am_ard_3-2-1_55GFN_2019-06-24_final
2019-07-01 09:28:49	ga_s2am_ard_3-2-1_55GFN_2019-06-30_final
2019-07-04 09:38:46	ga_s2am_ard_3-2-1_55GFN_2019-07-04_final
2019-07-11 09:28:50	ga_s2am_ard_3-2-1_55GFN_2019-07-10_final
2019-07-14 09:38:46	ga_s2am_ard_3-2-1_55GFN_2019-07-14_final
2019-07-21 09:28:50	ga_s2am_ard_3-2-1_55GFN_2019-07-20_final
2019-07-24 09:38:46	ga_s2am_ard_3-2-1_55GFN_2019-07-24_final
2019-07-31 09:28:49	ga_s2am_ard_3-2-1_55GFN_2019-07-30_final
2019-08-03 09:38:45	ga_s2am_ard_3-2-1_55GFN_2019-08-03_final
2019-08-10 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-08-09_final
2019-08-13 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-08-13_final
2019-08-20 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-08-19_final
2019-08-23 09:38:43	ga_s2am_ard_3-2-1_55GFN_2019-08-23_final
2019-08-30 09:28:45	ga_s2am_ard_3-2-1_55GFN_2019-08-29_final
2019-09-02 09:38:41	ga_s2am_ard_3-2-1_55GFN_2019-09-02_final
2019-09-09 09:28:43	ga_s2am_ard_3-2-1_55GFN_2019-09-08_final
2019-09-12 09:38:39	ga_s2am_ard_3-2-1_55GFN_2019-09-12_final
2019-09-19 09:28:44	ga_s2am_ard_3-2-1_55GFN_2019-09-18_final
2019-09-22 09:38:41	ga_s2am_ard_3-2-1_55GFN_2019-09-22_final
2019-09-29 09:28:46	ga_s2am_ard_3-2-1_55GFN_2019-09-28_final
2019-10-09 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-10-08_final
2019-10-12 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-10-12_final
2019-10-19 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-10-18_final
2019-10-22 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-10-22_final
2019-10-29 09:28:48	ga_s2am_ard_3-2-1_55GFN_2019-10-28_final
2019-11-01 09:38:44	ga_s2am_ard_3-2-1_55GFN_2019-11-01_final
2019-11-08 09:28:47	ga_s2am_ard_3-2-1_55GFN_2019-11-07_final
2019-11-11 09:38:43	ga_s2am_ard_3-2-1_55GFN_2019-11-11_final
2019-11-18 09:28:46	ga_s2am_ard_3-2-1_55GFN_2019-11-17_final
2019-11-21 09:38:42	ga_s2am_ard_3-2-1_55GFN_2019-11-21_final
2019-11-28 09:28:44	ga_s2am_ard_3-2-1_55GFN_2019-11-27_final
2020-08-04 09:28:51	ga_s2am_ard_3-2-1_55GFN_2020-08-03_final
2020-08-07 09:38:47	ga_s2am_ard_3-2-1_55GFN_2020-08-07_final
2020-08-14 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-08-13_final
2020-08-17 09:38:47	ga_s2am_ard_3-2-1_55GFN_2020-08-17_final
2020-08-24 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-08-23_final
2020-08-27 09:38:46	ga_s2am_ard_3-2-1_55GFN_2020-08-27_final
2020-09-03 09:28:49	ga_s2am_ard_3-2-1_55GFN_2020-09-02_final
2020-09-06 09:38:45	ga_s2am_ard_3-2-1_55GFN_2020-09-06_final
2020-09-13 09:28:49	ga_s2am_ard_3-2-1_55GFN_2020-09-12_final
2020-09-16 09:38:45	ga_s2am_ard_3-2-1_55GFN_2020-09-16_final
2020-09-23 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-09-22_final
2020-09-26 09:38:46	ga_s2am_ard_3-2-1_55GFN_2020-09-26_final
2020-10-03 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-10-02_final
2020-10-13 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-10-12_final
2020-10-16 09:38:47	ga_s2am_ard_3-2-1_55GFN_2020-10-16_final
2020-10-26 09:38:46	ga_s2am_ard_3-2-1_55GFN_2020-10-26_final
2020-11-02 09:28:50	ga_s2am_ard_3-2-1_55GFN_2020-11-01_final
2020-11-05 09:38:46	ga_s2am_ard_3-2-1_55GFN_2020-11-05_final
2020-11-12 09:28:48	ga_s2am_ard_3-2-1_55GFN_2020-11-11_final
2020-11-15 09:38:44	ga_s2am_ard_3-2-1_55GFN_2020-11-15_final
2020-11-22 09:28:47	ga_s2am_ard_3-2-1_55GFN_2020-11-21_final
2020-11-25 09:38:42	ga_s2am_ard_3-2-1_55GFN_2020-11-25_final
2020-12-02 09:28:44	ga_s2am_ard_3-2-1_55GFN_2020-12-01_final
2020-12-05 09:38:39	ga_s2am_ard_3-2-1_55GFN_2020-12-05_final
2020-12-12 09:28:41	ga_s2am_ard_3-2-1_55GFN_2020-12-11_final
2020-12-15 09:38:38	ga_s2am_ard_3-2-1_55GFN_2020-12-15_final
2020-12-22 09:28:43	ga_s2am_ard_3-2-1_55GFN_2020-12-21_final
2020-12-25 09:38:40	ga_s2am_ard_3-2-1_55GFN_2020-12-25_final
2021-01-01 09:28:45	ga_s2am_ard_3-2-1_55GFN_2020-12-31_final
2021-01-04 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-01-04_final
2021-01-11 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-01-10_final
2021-01-14 09:38:42	ga_s2am_ard_3-2-1_55GFN_2021-01-14_final
2021-01-21 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-01-20_final
2021-01-24 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-01-24_final
2021-01-31 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-01-30_final
2021-02-10 09:28:43	ga_s2am_ard_3-2-1_55GFN_2021-02-09_final
2021-02-13 09:38:40	ga_s2am_ard_3-2-1_55GFN_2021-02-13_final
2021-02-20 09:28:44	ga_s2am_ard_3-2-1_55GFN_2021-02-19_final
2021-02-23 09:38:40	ga_s2am_ard_3-2-1_55GFN_2021-02-23_final
2021-03-02 09:28:44	ga_s2am_ard_3-2-1_55GFN_2021-03-01_final
2021-03-05 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-03-05_final
2021-03-12 09:28:44	ga_s2am_ard_3-2-1_55GFN_2021-03-11_final
2021-03-15 09:38:40	ga_s2am_ard_3-2-1_55GFN_2021-03-15_final
2021-03-22 09:28:43	ga_s2am_ard_3-2-1_55GFN_2021-03-21_final
2021-03-25 09:38:39	ga_s2am_ard_3-2-1_55GFN_2021-03-25_final
2021-04-01 09:28:42	ga_s2am_ard_3-2-1_55GFN_2021-03-31_final
2021-04-04 09:38:37	ga_s2am_ard_3-2-1_55GFN_2021-04-04_final
2021-04-11 09:28:40	ga_s2am_ard_3-2-1_55GFN_2021-04-10_final
2021-04-14 09:38:35	ga_s2am_ard_3-2-1_55GFN_2021-04-14_final
2021-09-18 09:28:47	ga_s2am_ard_3-2-1_55GFN_2021-09-17_final
2021-09-21 09:38:44	ga_s2am_ard_3-2-1_55GFN_2021-09-21_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