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
2017-12-05 10:53:10	ga_s2am_ard_3-2-1_53JKL_2017-12-05_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_53JKL_2017-12-25_final
2018-01-14 10:53:07	ga_s2am_ard_3-2-1_53JKL_2018-01-14_final
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_53JKL_2018-02-03_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_53JKL_2018-02-13_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_53JKL_2018-02-23_final
2018-03-05 10:47:21	ga_s2am_ard_3-2-1_53JKL_2018-03-05_final
2018-03-15 10:47:20	ga_s2am_ard_3-2-1_53JKL_2018-03-15_final
2018-03-25 10:47:23	ga_s2am_ard_3-2-1_53JKL_2018-03-25_final
2018-04-04 10:47:25	ga_s2am_ard_3-2-1_53JKL_2018-04-04_final
2018-04-14 10:47:26	ga_s2am_ard_3-2-1_53JKL_2018-04-14_final
2018-04-24 10:47:27	ga_s2am_ard_3-2-1_53JKL_2018-04-24_final
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_53JKL_2018-05-04_final
2018-05-14 10:47:27	ga_s2am_ard_3-2-1_53JKL_2018-05-14_final
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_53JKL_2018-05-24_final
2018-06-03 10:47:26	ga_s2am_ard_3-2-1_53JKL_2018-06-03_final
2018-06-13 10:47:24	ga_s2am_ard_3-2-1_53JKL_2018-06-13_final
2018-06-23 10:47:25	ga_s2am_ard_3-2-1_53JKL_2018-06-23_final
2018-07-03 10:47:26	ga_s2am_ard_3-2-1_53JKL_2018-07-03_final
2018-07-13 10:47:26	ga_s2am_ard_3-2-1_53JKL_2018-07-13_final
2018-07-23 10:47:26	ga_s2am_ard_3-2-1_53JKL_2018-07-23_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_53JKL_2018-08-02_final
2018-08-22 10:47:24	ga_s2am_ard_3-2-1_53JKL_2018-08-22_final
2018-09-01 10:53:06	ga_s2am_ard_3-2-1_53JKL_2018-09-01_final
2019-03-31 12:05:07	ga_s2am_ard_3-2-1_50JKR_2019-03-31_final
2019-04-30 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-04-30_final
2019-05-10 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-05-10_final
2019-05-20 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-05-20_final
2019-05-30 12:05:14	ga_s2am_ard_3-2-1_50JKR_2019-05-30_final
2019-06-19 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-06-19_final
2019-06-29 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-06-29_final
2019-07-19 12:05:17	ga_s2am_ard_3-2-1_50JKR_2019-07-19_final
2019-07-29 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-07-29_final
2019-08-08 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-08-08_final
2019-08-28 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-08-28_final
2019-09-07 12:05:11	ga_s2am_ard_3-2-1_50JKR_2019-09-07_final
2019-09-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2019-09-17_final
2019-09-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-09-27_final
2019-10-07 12:05:14	ga_s2am_ard_3-2-1_50JKR_2019-10-07_final
2019-10-17 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-10-17_final
2019-10-27 12:05:10	ga_s2am_ard_3-2-1_50JKR_2019-10-27_final
2019-11-16 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-11-16_final
2019-11-26 12:05:12	ga_s2am_ard_3-2-1_50JKR_2019-11-26_final
2019-12-06 12:05:09	ga_s2am_ard_3-2-1_50JKR_2019-12-06_final
2019-12-16 12:05:06	ga_s2am_ard_3-2-1_50JKR_2019-12-16_final
2019-12-26 12:05:06	ga_s2am_ard_3-2-1_50JKR_2019-12-26_final
2020-01-05 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-01-05_final
2020-01-15 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-01-15_final
2020-01-25 12:05:05	ga_s2am_ard_3-2-1_50JKR_2020-01-25_final
2020-02-04 12:05:03	ga_s2am_ard_3-2-1_50JKR_2020-02-04_final
2020-02-24 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-02-24_final
2020-03-05 12:05:07	ga_s2am_ard_3-2-1_50JKR_2020-03-05_final
2020-03-15 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-03-15_final
2020-09-10 10:54:45	ga_s2am_ard_3-2-1_53JKL_2020-09-10_final
2020-09-20 10:54:46	ga_s2am_ard_3-2-1_53JKL_2020-09-20_final
2020-09-30 10:54:46	ga_s2am_ard_3-2-1_53JKL_2020-09-30_final
2020-10-10 10:54:47	ga_s2am_ard_3-2-1_53JKL_2020-10-10_final
2020-10-20 10:54:46	ga_s2am_ard_3-2-1_53JKL_2020-10-20_final
2020-10-30 10:54:46	ga_s2am_ard_3-2-1_53JKL_2020-10-30_final
2020-11-09 10:54:45	ga_s2am_ard_3-2-1_53JKL_2020-11-09_final
2020-11-19 10:54:44	ga_s2am_ard_3-2-1_53JKL_2020-11-19_final
2020-11-29 10:54:41	ga_s2am_ard_3-2-1_53JKL_2020-11-29_final
2020-12-09 10:54:38	ga_s2am_ard_3-2-1_53JKL_2020-12-09_final
2020-12-19 10:54:39	ga_s2am_ard_3-2-1_53JKL_2020-12-19_final
2021-01-08 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-01-08_final
2021-01-18 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-01-18_final
2021-01-28 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-01-28_final
2021-02-07 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-02-07_final
2021-02-17 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-02-17_final
2021-02-27 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-02-27_final
2021-03-09 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-03-09_final
2021-03-19 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-03-19_final
2021-03-29 10:54:39	ga_s2am_ard_3-2-1_53JKL_2021-03-29_final
2021-04-08 10:54:37	ga_s2am_ard_3-2-1_53JKL_2021-04-08_final
2021-04-18 10:54:35	ga_s2am_ard_3-2-1_53JKL_2021-04-18_final
2021-04-28 10:54:38	ga_s2am_ard_3-2-1_53JKL_2021-04-28_final
2021-05-08 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-05-08_final
2021-05-18 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-05-18_final
2021-05-28 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-05-28_final
2021-06-07 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-06-07_final
2021-06-17 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-06-17_final
2021-06-27 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-06-27_final
2021-07-07 10:54:43	ga_s2am_ard_3-2-1_53JKL_2021-07-07_final
2021-07-17 10:54:44	ga_s2am_ard_3-2-1_53JKL_2021-07-17_final
2021-07-27 10:54:44	ga_s2am_ard_3-2-1_53JKL_2021-07-27_final
2021-08-06 10:54:44	ga_s2am_ard_3-2-1_53JKL_2021-08-06_final
2021-08-16 10:54:43	ga_s2am_ard_3-2-1_53JKL_2021-08-16_final
2021-08-26 10:54:43	ga_s2am_ard_3-2-1_53JKL_2021-08-26_final
2021-09-05 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-09-05_final
2021-09-15 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-09-15_final
2021-09-25 10:54:44	ga_s2am_ard_3-2-1_53JKL_2021-09-25_final
2021-10-05 10:54:46	ga_s2am_ard_3-2-1_53JKL_2021-10-05_final
2021-10-15 10:54:46	ga_s2am_ard_3-2-1_53JKL_2021-10-15_final
2021-10-25 10:54:46	ga_s2am_ard_3-2-1_53JKL_2021-10-25_final
2021-11-04 10:54:45	ga_s2am_ard_3-2-1_53JKL_2021-11-04_final
2021-11-14 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-11-14_final
2021-11-24 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-11-24_final
2021-12-04 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-12-04_final
2021-12-14 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-12-14_final
2021-12-24 10:54:42	ga_s2am_ard_3-2-1_53JKL_2021-12-24_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