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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2016-03-10 10:05:24	ga_s2am_ard_3-2-1_54HVG_2016-03-10_final
2016-03-23 10:15:14	ga_s2am_ard_3-2-1_54HVG_2016-03-23_final
2016-05-02 10:16:17	ga_s2am_ard_3-2-1_54HVG_2016-05-02_final
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_54HVG_2016-06-08_final
2016-06-11 10:15:57	ga_s2am_ard_3-2-1_54HVG_2016-06-11_final
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54HVG_2016-06-21_final
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_54HVG_2016-06-28_final
2016-07-01 10:15:56	ga_s2am_ard_3-2-1_54HVG_2016-07-01_final
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54HVG_2016-07-11_final
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54HVG_2016-07-18_final
2016-07-21 10:15:58	ga_s2am_ard_3-2-1_54HVG_2016-07-21_final
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54HVG_2016-07-31_final
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_54HVG_2016-08-07_final
2016-08-10 10:15:57	ga_s2am_ard_3-2-1_54HVG_2016-08-10_final
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54HVG_2016-08-20_final
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54HVG_2016-08-27_final
2016-08-30 10:15:54	ga_s2am_ard_3-2-1_54HVG_2016-08-30_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HVG_2016-11-08_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_54HVG_2016-11-15_final
2016-11-18 10:13:00	ga_s2am_ard_3-2-1_54HVG_2016-11-18_final
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54HVG_2016-11-25_final
2016-11-28 10:15:52	ga_s2am_ard_3-2-1_54HVG_2016-11-28_final
2016-12-05 10:04:17	ga_s2am_ard_3-2-1_54HVG_2016-12-05_final
2017-04-07 10:15:51	ga_s2am_ard_3-2-1_54HVG_2017-04-07_final
2022-08-06 10:06:57	ga_s2am_ard_3-2-1_54HVG_2022-08-06_final
2022-10-28 10:16:46	ga_s2am_ard_3-2-1_54HVG_2022-10-28_final
2022-11-04 10:06:50	ga_s2am_ard_3-2-1_54HVG_2022-11-04_final
2022-11-07 10:16:46	ga_s2am_ard_3-2-1_54HVG_2022-11-07_final
2022-11-14 10:06:49	ga_s2am_ard_3-2-1_54HVG_2022-11-14_final
2022-11-17 10:16:44	ga_s2am_ard_3-2-1_54HVG_2022-11-17_final
2022-11-24 10:06:45	ga_s2am_ard_3-2-1_54HVG_2022-11-24_final
2022-11-27 10:16:42	ga_s2am_ard_3-2-1_54HVG_2022-11-27_final
2022-12-04 10:06:46	ga_s2am_ard_3-2-1_54HVG_2022-12-04_final
2022-12-07 10:16:43	ga_s2am_ard_3-2-1_54HVG_2022-12-07_final
2022-12-14 10:06:46	ga_s2am_ard_3-2-1_54HVG_2022-12-14_final
2022-12-17 10:16:42	ga_s2am_ard_3-2-1_54HVG_2022-12-17_final
2022-12-24 10:06:44	ga_s2am_ard_3-2-1_54HVG_2022-12-24_final
2022-12-27 10:16:41	ga_s2am_ard_3-2-1_54HVG_2022-12-27_final
2023-01-03 10:06:45	ga_s2am_ard_3-2-1_54HVG_2023-01-03_final
2023-01-06 10:16:41	ga_s2am_ard_3-2-1_54HVG_2023-01-06_final
2023-01-13 10:06:44	ga_s2am_ard_3-2-1_54HVG_2023-01-13_final
2023-01-16 10:16:39	ga_s2am_ard_3-2-1_54HVG_2023-01-16_final
2023-01-23 10:06:42	ga_s2am_ard_3-2-1_54HVG_2023-01-23_final
2023-01-26 10:16:39	ga_s2am_ard_3-2-1_54HVG_2023-01-26_final
2023-02-02 10:06:45	ga_s2am_ard_3-2-1_54HVG_2023-02-02_final
2023-02-05 10:16:41	ga_s2am_ard_3-2-1_54HVG_2023-02-05_final
2023-02-12 10:06:44	ga_s2am_ard_3-2-1_54HVG_2023-02-12_final
2023-02-15 10:16:39	ga_s2am_ard_3-2-1_54HVG_2023-02-15_final
2023-02-22 10:06:44	ga_s2am_ard_3-2-1_54HVG_2023-02-22_final
2023-02-25 10:16:40	ga_s2am_ard_3-2-1_54HVG_2023-02-25_final
2023-03-04 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-03-04_final
2023-03-07 10:16:38	ga_s2am_ard_3-2-1_54HVG_2023-03-07_final
2023-03-14 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-03-14_final
2023-03-17 10:16:40	ga_s2am_ard_3-2-1_54HVG_2023-03-17_final
2023-03-27 10:16:40	ga_s2am_ard_3-2-1_54HVG_2023-03-27_final
2023-04-03 10:06:45	ga_s2am_ard_3-2-1_54HVG_2023-04-03_final
2023-04-06 10:16:42	ga_s2am_ard_3-2-1_54HVG_2023-04-06_final
2023-04-13 10:06:46	ga_s2am_ard_3-2-1_54HVG_2023-04-13_final
2023-06-02 10:06:50	ga_s2am_ard_3-2-1_54HVG_2023-06-02_final
2023-06-05 10:16:46	ga_s2am_ard_3-2-1_54HVG_2023-06-05_final
2023-06-12 10:06:50	ga_s2am_ard_3-2-1_54HVG_2023-06-12_final
2023-06-15 10:16:46	ga_s2am_ard_3-2-1_54HVG_2023-06-15_final
2023-06-22 10:06:50	ga_s2am_ard_3-2-1_54HVG_2023-06-22_final
2023-06-25 10:16:45	ga_s2am_ard_3-2-1_54HVG_2023-06-25_final
2023-07-02 10:06:51	ga_s2am_ard_3-2-1_54HVG_2023-07-02_final
2023-07-05 10:16:47	ga_s2am_ard_3-2-1_54HVG_2023-07-05_final
2023-07-12 10:06:51	ga_s2am_ard_3-2-1_54HVG_2023-07-12_final
2023-07-15 10:16:47	ga_s2am_ard_3-2-1_54HVG_2023-07-15_final
2023-07-22 10:06:50	ga_s2am_ard_3-2-1_54HVG_2023-07-22_final
2023-11-02 10:16:41	ga_s2am_ard_3-2-1_54HVG_2023-11-02_final
2023-11-09 10:06:45	ga_s2am_ard_3-2-1_54HVG_2023-11-09_final
2023-11-12 10:16:42	ga_s2am_ard_3-2-1_54HVG_2023-11-12_final
2023-11-19 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-11-19_final
2023-11-22 10:16:38	ga_s2am_ard_3-2-1_54HVG_2023-11-22_final
2023-11-29 10:06:38	ga_s2am_ard_3-2-1_54HVG_2023-11-29_final
2023-12-02 10:16:34	ga_s2am_ard_3-2-1_54HVG_2023-12-02_final
2023-12-09 10:06:41	ga_s2am_ard_3-2-1_54HVG_2023-12-09_final
2023-12-12 10:16:37	ga_s2am_ard_3-2-1_54HVG_2023-12-12_final
2023-12-19 10:06:42	ga_s2am_ard_3-2-1_54HVG_2023-12-19_final
2023-12-22 10:16:38	ga_s2am_ard_3-2-1_54HVG_2023-12-22_final
2023-12-29 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-12-29_final
2024-01-01 10:16:39	ga_s2am_ard_3-2-1_54HVG_2024-01-01_final
2024-01-08 10:06:42	ga_s2am_ard_3-2-1_54HVG_2024-01-08_final
2024-01-11 10:16:37	ga_s2am_ard_3-2-1_54HVG_2024-01-11_final
2024-01-18 10:06:37	ga_s2am_ard_3-2-1_54HVG_2024-01-18_final
2024-01-21 10:16:34	ga_s2am_ard_3-2-1_54HVG_2024-01-21_final
2024-01-28 10:06:41	ga_s2am_ard_3-2-1_54HVG_2024-01-28_final
2024-01-31 10:16:38	ga_s2am_ard_3-2-1_54HVG_2024-01-31_final
2024-02-07 10:06:42	ga_s2am_ard_3-2-1_54HVG_2024-02-07_final
2024-02-10 10:16:39	ga_s2am_ard_3-2-1_54HVG_2024-02-10_final
2024-02-17 10:06:44	ga_s2am_ard_3-2-1_54HVG_2024-02-17_final
2024-02-20 10:16:40	ga_s2am_ard_3-2-1_54HVG_2024-02-20_final
2024-02-27 10:06:45	ga_s2am_ard_3-2-1_54HVG_2024-02-27_final
2024-03-01 10:16:42	ga_s2am_ard_3-2-1_54HVG_2024-03-01_final
2024-03-08 10:06:47	ga_s2am_ard_3-2-1_54HVG_2024-03-08_final
2024-03-11 10:16:42	ga_s2am_ard_3-2-1_54HVG_2024-03-11_final
2024-03-18 10:06:47	ga_s2am_ard_3-2-1_54HVG_2024-03-18_final
2024-03-21 10:16:43	ga_s2am_ard_3-2-1_54HVG_2024-03-21_final
2024-03-28 10:06:46	ga_s2am_ard_3-2-1_54HVG_2024-03-28_final
2024-03-31 10:16:41	ga_s2am_ard_3-2-1_54HVG_2024-03-31_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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