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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHP_2015-10-08_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JHM_2015-11-27_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHP_2016-05-18_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-06-14_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-08-03_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-09-22_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHQ_2016-11-04_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHQ_2016-12-04_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2016-12-24_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-02_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-05-10_final
2017-06-29 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-06-29_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-07-09_final
2017-08-28 12:03:48	ga_s2am_ard_3-2-1_49KHQ_2017-08-28_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2017-09-17_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHN_2017-09-17_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHM_2017-09-27_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLG_2017-10-24_final.stac-item
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGN_2017-10-27_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-06_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGN_2017-12-16_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-26_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLG_2018-03-13_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGN_2018-03-26_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2018-03-29_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLG_2018-03-30_final.stac-item
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-04-28_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JHM_2018-05-05_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-28_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-07_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-17_final
2018-11-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-11-24_final
2018-11-24 12:14:14	ga_s2am_ard_3-2-1_49KHP_2018-11-24_final
2019-03-31 12:04:57	ga_s2am_ard_3-2-1_49JHM_2019-03-31_final
2019-04-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-04-20_final
2019-04-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-04-23_final
2019-05-03 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-03_final.stac-item
2019-05-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-23_final
2019-06-12 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-06-12_final
2019-06-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-06-29_final.stac-item
2019-07-19 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-19_final
2019-07-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-29_final.stac-item
2019-07-29 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-07-29_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-09-10 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2019-09-10_final
2019-09-11 11:47:26	ga_s2am_ard_3-2-1_50HLG_2019-09-11_final.stac-item
2019-10-07 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-10-07_final.stac-item
2019-10-21 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-21_final.stac-item
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-02-18 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-02-18_final.stac-item
2020-02-27 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-02-27_final
2020-04-07 12:14:18	ga_s2am_ard_3-2-1_49KHP_2020-04-07_final
2020-04-08 11:47:20	ga_s2am_ard_3-2-1_50HLG_2020-04-08_final.stac-item
2020-04-24 12:05:10	ga_s2am_ard_3-2-1_49JFM_2020-04-24_final
2020-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-05-07_final
2020-05-07 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-05-07_final
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final
2020-06-06 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-06_final
2020-06-13 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-13_final
2020-06-27 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-06-27_final.stac-item
2020-07-06 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-07-06_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-07-26_final.stac-item
2020-08-05 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-05_final
2020-08-25 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-08-25_final
2020-09-05 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-05_final.stac-item
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-12-07 11:57:21	ga_s2am_ard_3-2-1_50HLG_2020-12-07_final.stac-item
2021-01-23 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-23_final.stac-item
2021-04-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2021-04-02_final
2021-07-01 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-07-01_final.stac-item
2021-07-18 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-18_final.stac-item
2021-08-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2021-08-30_final
2021-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-09-19_final
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-01-11 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-01-11_final.stac-item
2022-04-17 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2022-04-17_final
2022-05-21 11:57:29	ga_s2am_ard_3-2-1_50HLG_2022-05-21_final.stac-item
2022-07-26 12:14:19	ga_s2am_ard_3-2-1_49KHQ_2022-07-26_final
2022-08-25 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-08-25_final
2022-09-14 12:14:31	ga_s2am_ard_3-2-1_49KHP_2022-09-14_final.stac-item
2022-09-24 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-09-24_final.stac-item
2022-10-01 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-10-01_final.stac-item
2022-10-04 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-10-04_final.stac-item
2022-10-04 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-10-04_final.stac-item
2022-12-13 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2022-12-13_final.stac-item
2023-03-20 12:04:31	ga_s2am_ard_3-2-1_49JHN_2023-03-20_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-07-02 11:47:31	ga_s2am_ard_3-2-1_50HLG_2023-07-02_final.stac-item
2023-08-20 12:14:27	ga_s2am_ard_3-2-1_49KHP_2023-08-20_final.stac-item
2023-08-21 11:47:33	ga_s2am_ard_3-2-1_50HLG_2023-08-21_final.stac-item
2024-03-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-17_final.stac-item
2024-04-16 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-04-16_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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