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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHM_2015-11-27_final
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGN_2016-01-09_final
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGM_2016-02-08_final
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KGP_2016-02-15_final
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHP_2016-05-15_final
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-10-12_final
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-10-12_final
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-11_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGM_2016-12-21_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGL_2017-09-30_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2017-11-19_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KGP_2017-12-19_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-03-19_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KGP_2018-07-14_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-08-26_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final
2018-11-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-11-24_final
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2019-01-10 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-01-10_final
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final
2019-01-20 12:05:11	ga_s2am_ard_3-2-1_49JGL_2019-01-20_final
2019-01-23 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-23_final
2019-03-31 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-03-31_final
2019-04-10 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-04-10_final
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final
2019-10-07 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-10-07_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-04-07 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-04-07_final
2020-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-05-04_final
2020-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-17_final
2020-07-16 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-07-16_final
2020-08-12 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-12_final
2020-08-12 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-12_final
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-12-10 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-12-10_final
2020-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-12-13_final
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final
2021-01-19 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-19_final
2021-02-28 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-02-28_final
2021-03-10 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-03-10_final
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-11 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-06-11_final
2021-09-26 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-09-26_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-10-26 12:04:51	ga_s2am_ard_3-2-1_49JGN_2021-10-26_final
2021-10-26 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-26_final
2021-11-28 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-28_final
2021-12-08 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-12-08_final
2022-01-07 12:14:00	ga_s2am_ard_3-2-1_49KGR_2022-01-07_final
2022-01-17 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-01-17_final
2022-01-27 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-01-27_final
2022-02-03 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-03_final
2022-02-16 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-02-16_final
2022-11-03 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-11-03_final
2022-11-13 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-11-13_final
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final
2022-11-20 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-11-20_final
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final
2022-12-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-12-13_final
2023-01-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-01-02_final
2023-01-02 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-01-02_final
2023-01-12 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-01-12_final
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final
2023-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-03-23_final
2023-03-30 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-30_final
2023-04-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-09_final
2023-04-12 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-04-12_final
2023-04-22 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-04-22_final
2023-06-01 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-01_final
2023-07-11 12:14:03	ga_s2am_ard_3-2-1_49KGR_2023-07-11_final
2023-08-30 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-08-30_final
2023-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-19_final
2023-09-29 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-09-29_final
2023-10-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2023-10-06_final
2023-10-16 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-10-16_final
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final
2023-10-29 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-29_final
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final
2023-12-28 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-12-28_final
2024-01-24 12:04:54	ga_s2am_ard_3-2-1_49JGM_2024-01-24_final
2024-01-24 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-24_final
2024-03-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-07_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

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