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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGN_2015-11-30_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLJ_2016-03-03_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGN_2016-08-26_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-09-25_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-21_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-02_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-04-13_final
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-05-13_final
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-09_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGM_2017-06-09_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-12-09_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHQ_2018-01-05_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHS_2018-05-08_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KHR_2018-05-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HLH_2018-06-08_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HLJ_2018-07-01_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final
2018-12-31 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2018-12-31_final
2019-01-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-01-10_final
2019-02-19 12:05:11	ga_s2am_ard_3-2-1_49JGL_2019-02-19_final
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-03-14_final
2019-06-02 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-06-02_final
2019-06-19 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-06-19_final
2019-07-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2019-07-02_final
2019-07-19 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-19_final
2019-07-29 12:05:13	ga_s2am_ard_3-2-1_49JFM_2019-07-29_final
2019-07-29 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-29_final
2019-08-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-08-08_final.stac-item
2019-08-18 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-08-18_final
2019-08-18 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-08-18_final
2019-09-27 12:04:47	ga_s2am_ard_3-2-1_49JGN_2019-09-27_final
2019-11-29 12:14:26	ga_s2am_ard_3-2-1_49KGP_2019-11-29_final
2020-01-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2020-01-08_final
2020-03-05 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-05_final
2020-03-08 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-08_final
2020-04-04 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-04-04_final
2020-04-07 12:13:37	ga_s2am_ard_3-2-1_49KHS_2020-04-07_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final
2020-06-06 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-06_final
2020-07-06 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-06_final
2020-08-15 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-15_final
2020-09-01 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-09-01_final
2020-09-11 12:04:46	ga_s2am_ard_3-2-1_49JHN_2020-09-11_final
2020-10-01 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-01_final
2020-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-11-10_final
2020-12-03 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-03_final
2020-12-23 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-23_final
2021-01-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-01-02_final
2021-01-12 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-12_final
2021-01-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-22_final
2021-01-22 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-01-22_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-04-02 12:13:55	ga_s2am_ard_3-2-1_49KGR_2021-04-02_final
2021-04-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2021-04-19_final
2021-04-26 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-06-11 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-11_final
2021-08-17 12:05:32	ga_s2am_ard_3-2-1_49JGK_2021-08-17_final
2021-09-06 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-09-06_final
2021-12-08 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-12-08_final
2022-02-16 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-02-16_final
2022-04-14 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-04-14_final
2022-05-11 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-05-11_final
2022-05-24 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-05-24_final
2022-06-03 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-06-03_final.stac-item
2022-07-03 12:05:14	ga_s2am_ard_3-2-1_49JGM_2022-07-03_final
2022-07-06 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-07-06_final
2022-08-05 12:14:52	ga_s2am_ard_3-2-1_49JGN_2022-08-05_final
2022-09-01 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-09-01_final.stac-item
2022-10-24 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-10-24_final.stac-item
2022-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2022-11-13_final.stac-item
2022-11-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2022-11-13_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final.stac-item
2023-01-13 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-01-13_final.stac-item
2023-02-05 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-02-05_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-02-18_final.stac-item
2023-03-14 11:47:11	ga_s2am_ard_3-2-1_50HLH_2023-03-14_final.stac-item
2023-04-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-16_final.stac-item
2023-05-19 12:05:31	ga_s2am_ard_3-2-1_49JGK_2023-05-19_final.stac-item
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final.stac-item
2023-07-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-07-01_final.stac-item
2023-07-28 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-07-28_final.stac-item
2023-08-17 12:04:37	ga_s2am_ard_3-2-1_49KGP_2023-08-17_final.stac-item
2023-08-30 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-08-30_final.stac-item
2023-09-29 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-29_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2023-12-05 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2023-12-05_final.stac-item
2024-01-04 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2024-01-04_final.stac-item
2024-01-24 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-24_final.stac-item
2024-01-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2024-01-27_final.stac-item
2024-01-27 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2024-01-27_final.stac-item
2024-03-14 12:04:31	ga_s2am_ard_3-2-1_49KGP_2024-03-14_final.stac-item
2024-03-24 12:05:30	ga_s2am_ard_3-2-1_49JGK_2024-03-24_final.stac-item
2024-04-06 12:14:54	ga_s2am_ard_3-2-1_49JGM_2024-04-06_final.stac-item
2024-04-30 11:57:12	ga_s2am_ard_3-2-1_50HLH_2024-04-30_final.stac-item

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

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