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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHP_2015-10-08_final
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JHN_2015-12-17_final
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLK_2016-01-03_final
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMK_2016-01-03_final
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-08_final
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHP_2016-02-15_final
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHR_2016-07-27_final
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHS_2016-08-26_final
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HQH_2016-09-26_final
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2016-12-01_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-12-14_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQH_2017-01-14_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLG_2017-01-24_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-03-31_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-04-03_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2017-08-18_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2018-01-25_final
2019-01-13 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2019-01-13_final
2019-02-19 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-02-19_final
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-01_final
2019-03-02 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-02_final
2019-03-11 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-11_final
2019-03-25 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-03-25_final
2019-04-20 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-04-20_final
2019-07-16 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2019-07-16_final
2019-08-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-08-11_final
2019-08-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-08-11_final
2019-08-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-08-12_final
2019-08-22 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-08-22_final
2019-08-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-08-31_final
2019-09-17 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2019-09-17_final
2019-10-30 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-30_final
2019-11-06 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-11-06_final
2019-11-06 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-11-06_final
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2020-01-25 12:04:21	ga_s2am_ard_3-2-1_49KHP_2020-01-25_final
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final
2020-08-02 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-08-02_final
2020-08-05 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-08-05_final
2020-08-05 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-05_final
2020-08-19 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-19_final
2020-09-14 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-14_final
2020-09-18 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-09-18_final
2020-09-21 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-21_final
2020-12-23 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-23_final
2020-12-23 12:14:20	ga_s2am_ard_3-2-1_49KHP_2020-12-23_final
2021-01-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-29_final
2021-01-29 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-29_final
2021-10-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-06_final
2022-01-04 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-01-04_final
2022-01-04 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-01-04_final
2022-01-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-01-27_final
2022-02-26 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-02-26_final
2022-03-15 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-03-15_final
2022-04-14 12:04:31	ga_s2am_ard_3-2-1_49KHP_2022-04-14_final
2022-04-21 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-04-21_final
2022-05-21 11:56:43	ga_s2am_ard_3-2-1_50HMK_2022-05-21_final
2022-06-07 11:47:03	ga_s2am_ard_3-2-1_50HMJ_2022-06-07_final
2022-06-30 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-06-30_final
2022-07-06 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2022-07-06_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-07-13_final
2022-07-16 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-07-16_final
2022-08-12 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-08-12_final
2022-08-12 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-08-12_final
2022-10-21 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-10-21_final
2022-11-03 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-11-03_final
2022-11-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-11-03_final
2022-11-23 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2022-11-23_final
2022-12-13 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-12-13_final
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final
2022-12-31 11:36:33	ga_s2am_ard_3-2-1_50HQK_2022-12-31_final
2023-01-19 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-01-19_final
2023-02-11 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-02-11_final
2023-02-18 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-02-18_final
2023-02-21 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2023-02-21_final
2023-03-10 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final
2023-05-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-05-02_final
2023-05-09 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final
2023-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-05-12_final
2023-05-26 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-05-26_final
2023-06-11 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-06-11_final
2023-06-21 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-21_final
2023-07-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-07-01_final
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final
2023-07-11 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2023-07-11_final
2023-07-11 12:14:26	ga_s2am_ard_3-2-1_49KHP_2023-07-11_final
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final
2023-08-20 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2023-08-20_final
2023-08-31 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2023-08-31_final
2023-11-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-11-08_final
2023-11-18 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-11-18_final
2023-11-28 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2023-11-28_final
2023-12-12 11:56:35	ga_s2am_ard_3-2-1_50HLK_2023-12-12_final
2023-12-18 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2023-12-18_final
2023-12-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-12-22_final
2024-01-27 12:14:16	ga_s2am_ard_3-2-1_49KHP_2024-01-27_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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