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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHQ_2015-10-28_final
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKS_2016-01-16_final
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HMK_2016-01-20_final
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HNK_2016-02-12_final
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-03-06_final
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQQ_2016-07-08_final
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMM_2016-11-28_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JMP_2017-03-18_final
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-03-24_final
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50JLM_2017-05-07_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-05-30_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-06-22_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50JQM_2017-07-30_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLJ_2017-10-24_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLN_2017-11-26_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2018-01-22_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-04-08_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-04-26_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HQJ_2018-06-15_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50JNP_2018-06-28_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JRS_2018-10-13_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-11-25 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2018-11-25_final
2018-12-08 11:55:51	ga_s2am_ard_3-2-1_50JKN_2018-12-08_final
2018-12-28 11:55:58	ga_s2am_ard_3-2-1_50JLM_2018-12-28_final
2019-02-19 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-02-19_final
2019-02-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2019-02-23_final
2019-04-03 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-04-03_final
2019-06-03 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-06-03_final
2019-06-09 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-06-09_final
2019-09-11 11:46:28	ga_s2am_ard_3-2-1_50HQK_2019-09-11_final
2019-09-11 11:46:32	ga_s2am_ard_3-2-1_50HPK_2019-09-11_final
2019-11-20 11:46:09	ga_s2am_ard_3-2-1_50JNM_2019-11-20_final
2019-12-20 11:46:13	ga_s2am_ard_3-2-1_50JPL_2019-12-20_final
2019-12-20 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-12-20_final
2020-01-06 11:36:32	ga_s2am_ard_3-2-1_50HPK_2020-01-06_final
2020-01-15 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-15_final
2020-03-06 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-03-06_final
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final
2020-04-11 11:55:58	ga_s2am_ard_3-2-1_50JKN_2020-04-11_final
2020-04-24 12:04:29	ga_s2am_ard_3-2-1_49KHP_2020-04-24_final
2020-06-24 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-06-24_final
2020-07-07 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-07-07_final
2020-07-10 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-07-10_final
2020-11-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2020-11-20_final
2020-12-03 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-03_final
2020-12-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2020-12-14_final
2020-12-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2020-12-30_final
2021-01-10 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-01-10_final
2021-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-03-24_final
2021-04-10 11:34:32	ga_s2am_ard_3-2-1_50JRT_2021-04-10_final
2021-06-29 11:34:39	ga_s2am_ard_3-2-1_50JRT_2021-06-29_final
2021-07-08 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-08_final
2021-07-11 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-11_final
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final
2021-08-11 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-11_final
2021-08-28 11:36:28	ga_s2am_ard_3-2-1_50JPL_2021-08-28_final
2021-09-10 11:46:15	ga_s2am_ard_3-2-1_50JQL_2021-09-10_final
2021-09-16 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-09-16_final
2021-11-15 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-11-15_final
2021-12-09 11:47:23	ga_s2am_ard_3-2-1_50HMG_2021-12-09_final
2022-01-18 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-18_final
2022-03-15 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-15_final
2022-03-22 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-03-22_final
2022-03-28 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-03-28_final
2022-04-11 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-11_final
2022-04-11 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-04-11_final
2022-04-21 11:55:51	ga_s2am_ard_3-2-1_50JKP_2022-04-21_final
2022-04-28 11:46:35	ga_s2am_ard_3-2-1_50HQK_2022-04-28_final
2022-04-28 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-04-28_final
2022-05-15 11:36:24	ga_s2am_ard_3-2-1_50JQL_2022-05-15_final
2022-05-28 11:46:16	ga_s2am_ard_3-2-1_50JNM_2022-05-28_final
2022-06-20 11:56:23	ga_s2am_ard_3-2-1_50JLM_2022-06-20_final
2022-06-27 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-06-27_final
2022-06-30 11:55:15	ga_s2am_ard_3-2-1_50JPR_2022-06-30_final
2022-07-03 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-07-03_final
2022-08-02 12:04:24	ga_s2am_ard_3-2-1_49KHQ_2022-08-02_final
2022-08-09 11:56:19	ga_s2am_ard_3-2-1_50JMM_2022-08-09_final
2022-08-12 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-08-12_final
2022-08-15 12:14:06	ga_s2am_ard_3-2-1_50KKA_2022-08-15_final
2022-08-23 11:36:39	ga_s2am_ard_3-2-1_50JPL_2022-08-23_final
2022-09-15 11:45:45	ga_s2am_ard_3-2-1_50JPP_2022-09-15_final
2022-10-01 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-10-01_final
2022-10-28 11:57:09	ga_s2am_ard_3-2-1_50HMH_2022-10-28_final
2022-10-31 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-10-31_final
2023-01-02 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-01-02_final
2023-01-03 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-01-03_final
2023-04-29 12:04:46	ga_s2am_ard_3-2-1_49JGN_2023-04-29_final
2023-05-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2023-05-02_final
2023-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-05-13_final
2023-05-26 11:56:00	ga_s2am_ard_3-2-1_50JLN_2023-05-26_final
2023-11-12 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-11-12_final
2023-11-15 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-15_final
2023-11-15 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-15_final
2023-11-16 11:36:25	ga_s2am_ard_3-2-1_50JPL_2023-11-16_final
2023-11-29 11:47:09	ga_s2am_ard_3-2-1_50HPG_2023-11-29_final
2023-12-08 12:14:35	ga_s2am_ard_3-2-1_49JGN_2023-12-08_final
2023-12-18 12:14:23	ga_s2am_ard_3-2-1_49KGP_2023-12-18_final
2024-03-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-18_final
2024-03-27 12:14:46	ga_s2am_ard_3-2-1_49JFN_2024-03-27_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

Other Products

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