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
2018-09-11 10:47:22	ga_s2am_ard_3-2-1_53JKL_2018-09-11_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_53JKL_2018-10-01_final
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_53JKL_2018-10-11_final
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_53JKL_2018-10-21_final
2018-10-31 10:47:21	ga_s2am_ard_3-2-1_53JKL_2018-10-31_final
2018-11-10 10:54:36	ga_s2am_ard_3-2-1_53JKL_2018-11-10_final
2018-11-20 10:54:34	ga_s2am_ard_3-2-1_53JKL_2018-11-20_final
2018-11-30 10:54:32	ga_s2am_ard_3-2-1_53JKL_2018-11-30_final
2018-12-10 10:54:32	ga_s2am_ard_3-2-1_53JKL_2018-12-10_final
2018-12-30 10:54:34	ga_s2am_ard_3-2-1_53JKL_2018-12-30_final
2019-01-09 10:54:36	ga_s2am_ard_3-2-1_53JKL_2019-01-09_final
2019-01-19 10:54:37	ga_s2am_ard_3-2-1_53JKL_2019-01-19_final
2019-01-29 10:54:38	ga_s2am_ard_3-2-1_53JKL_2019-01-29_final
2019-02-08 10:54:38	ga_s2am_ard_3-2-1_53JKL_2019-02-08_final
2019-02-18 10:54:37	ga_s2am_ard_3-2-1_53JKL_2019-02-18_final
2019-02-28 10:54:36	ga_s2am_ard_3-2-1_53JKL_2019-02-28_final
2019-03-10 10:54:36	ga_s2am_ard_3-2-1_53JKL_2019-03-10_final
2019-03-20 10:54:38	ga_s2am_ard_3-2-1_53JKL_2019-03-20_final
2019-03-30 10:54:41	ga_s2am_ard_3-2-1_53JKL_2019-03-30_final
2019-04-09 10:54:41	ga_s2am_ard_3-2-1_53JKL_2019-04-09_final
2019-04-19 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-04-19_final
2019-04-29 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-04-29_final
2019-05-09 10:54:45	ga_s2am_ard_3-2-1_53JKL_2019-05-09_final
2019-05-19 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-05-19_final
2019-05-29 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-05-29_final
2019-06-08 10:54:43	ga_s2am_ard_3-2-1_53JKL_2019-06-08_final
2019-06-18 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-06-18_final
2019-06-28 10:54:45	ga_s2am_ard_3-2-1_53JKL_2019-06-28_final
2019-07-08 10:54:46	ga_s2am_ard_3-2-1_53JKL_2019-07-08_final
2019-07-18 10:54:46	ga_s2am_ard_3-2-1_53JKL_2019-07-18_final
2019-07-28 10:54:46	ga_s2am_ard_3-2-1_53JKL_2019-07-28_final
2019-08-07 10:54:43	ga_s2am_ard_3-2-1_53JKL_2019-08-07_final
2019-08-17 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-08-17_final
2019-08-27 10:54:42	ga_s2am_ard_3-2-1_53JKL_2019-08-27_final
2019-09-06 10:54:40	ga_s2am_ard_3-2-1_53JKL_2019-09-06_final
2019-09-16 10:54:40	ga_s2am_ard_3-2-1_53JKL_2019-09-16_final
2019-09-26 10:54:42	ga_s2am_ard_3-2-1_53JKL_2019-09-26_final
2019-10-06 10:54:43	ga_s2am_ard_3-2-1_53JKL_2019-10-06_final
2019-10-16 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-10-16_final
2019-10-26 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-10-26_final
2019-11-05 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-11-05_final
2019-11-15 10:54:43	ga_s2am_ard_3-2-1_53JKL_2019-11-15_final
2019-11-25 10:54:41	ga_s2am_ard_3-2-1_53JKL_2019-11-25_final
2019-12-05 10:54:39	ga_s2am_ard_3-2-1_53JKL_2019-12-05_final
2019-12-15 10:54:36	ga_s2am_ard_3-2-1_53JKL_2019-12-15_final
2019-12-25 10:54:35	ga_s2am_ard_3-2-1_53JKL_2019-12-25_final
2021-04-04 11:14:49	ga_s2am_ard_3-2-1_52JBR_2021-04-04_final
2021-04-07 11:24:40	ga_s2am_ard_3-2-1_52JBR_2021-04-07_final
2021-04-14 11:14:47	ga_s2am_ard_3-2-1_52JBR_2021-04-14_final
2021-04-17 11:24:38	ga_s2am_ard_3-2-1_52JBR_2021-04-17_final
2021-04-24 11:14:49	ga_s2am_ard_3-2-1_52JBR_2021-04-24_final
2021-04-27 11:24:40	ga_s2am_ard_3-2-1_52JBR_2021-04-27_final
2021-05-04 11:14:51	ga_s2am_ard_3-2-1_52JBR_2021-05-04_final
2021-05-07 11:24:42	ga_s2am_ard_3-2-1_52JBR_2021-05-07_final
2021-05-14 11:14:52	ga_s2am_ard_3-2-1_52JBR_2021-05-14_final
2021-05-17 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-05-17_final
2021-05-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-05-24_final
2021-05-27 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-05-27_final
2021-06-03 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-06-03_final
2021-06-06 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-06-06_final
2021-06-13 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-06-13_final
2021-06-16 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-06-16_final
2021-06-23 11:14:54	ga_s2am_ard_3-2-1_52JBR_2021-06-23_final
2021-06-26 11:24:45	ga_s2am_ard_3-2-1_52JBR_2021-06-26_final
2021-07-03 11:14:55	ga_s2am_ard_3-2-1_52JBR_2021-07-03_final
2021-07-06 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-07-06_final
2021-07-13 11:14:56	ga_s2am_ard_3-2-1_52JBR_2021-07-13_final
2021-07-16 11:24:47	ga_s2am_ard_3-2-1_52JBR_2021-07-16_final
2021-07-23 11:14:56	ga_s2am_ard_3-2-1_52JBR_2021-07-23_final
2021-07-26 11:24:47	ga_s2am_ard_3-2-1_52JBR_2021-07-26_final
2021-08-02 11:14:56	ga_s2am_ard_3-2-1_52JBR_2021-08-02_final
2021-08-05 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-08-05_final
2021-08-12 11:14:55	ga_s2am_ard_3-2-1_52JBR_2021-08-12_final
2021-08-15 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-08-15_final
2021-08-22 11:14:55	ga_s2am_ard_3-2-1_52JBR_2021-08-22_final
2021-08-25 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-08-25_final
2021-09-01 11:14:54	ga_s2am_ard_3-2-1_52JBR_2021-09-01_final
2021-09-04 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-09-04_final
2021-09-11 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-09-11_final
2021-09-14 11:24:45	ga_s2am_ard_3-2-1_52JBR_2021-09-14_final
2021-09-21 11:14:55	ga_s2am_ard_3-2-1_52JBR_2021-09-21_final
2021-09-24 11:24:47	ga_s2am_ard_3-2-1_52JBR_2021-09-24_final
2021-10-01 11:14:57	ga_s2am_ard_3-2-1_52JBR_2021-10-01_final
2021-10-04 11:24:48	ga_s2am_ard_3-2-1_52JBR_2021-10-04_final
2021-10-11 11:14:58	ga_s2am_ard_3-2-1_52JBR_2021-10-11_final
2021-10-14 11:24:49	ga_s2am_ard_3-2-1_52JBR_2021-10-14_final
2021-10-21 11:14:58	ga_s2am_ard_3-2-1_52JBR_2021-10-21_final
2021-10-24 11:24:48	ga_s2am_ard_3-2-1_52JBR_2021-10-24_final
2021-10-31 11:14:57	ga_s2am_ard_3-2-1_52JBR_2021-10-31_final
2021-11-03 11:24:47	ga_s2am_ard_3-2-1_52JBR_2021-11-03_final
2021-11-10 11:14:55	ga_s2am_ard_3-2-1_52JBR_2021-11-10_final
2021-11-13 11:24:45	ga_s2am_ard_3-2-1_52JBR_2021-11-13_final
2021-11-20 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-11-20_final
2021-11-23 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-11-23_final
2021-11-30 11:14:52	ga_s2am_ard_3-2-1_52JBR_2021-11-30_final
2022-01-22 11:24:44	ga_s2am_ard_3-2-1_52JBR_2022-01-22_final
2022-01-29 11:14:53	ga_s2am_ard_3-2-1_52JBR_2022-01-29_final
2022-05-29 11:15:00	ga_s2am_ard_3-2-1_52JBR_2022-05-29_final
2022-07-08 11:15:06	ga_s2am_ard_3-2-1_52JBR_2022-07-08_final
2022-08-17 11:15:05	ga_s2am_ard_3-2-1_52JBR_2022-08-17_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