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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHP_2015-10-21_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2015-12-07_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HQH_2015-12-21_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2015-12-27_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLQ_2016-01-03_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2016-01-26_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKR_2016-02-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKR_2016-04-15_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2016-06-14_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-06-14_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-10-05_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHQ_2016-11-04_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2016-11-24_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHQ_2016-12-04_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JLQ_2016-12-28_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQG_2017-01-01_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JLQ_2017-03-18_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKR_2017-03-31_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HNK_2017-04-07_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHQ_2017-04-23_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JFM_2017-04-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JLQ_2017-05-30_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JLQ_2017-06-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-07-09_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKR_2017-08-18_final
2017-08-28 12:03:48	ga_s2am_ard_3-2-1_49KHQ_2017-08-28_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JKT_2018-01-15_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLG_2018-02-28_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLQ_2018-05-22_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-06-27_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HNG_2018-07-05_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLG_2018-07-11_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-16_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2018-08-26_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-15_final
2018-12-04 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-04_final
2019-01-30 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2019-01-30_final
2019-03-25 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-03-25_final
2019-05-13 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-13_final.stac-item
2019-05-27 11:57:23	ga_s2am_ard_3-2-1_50HMG_2019-05-27_final.stac-item
2019-06-12 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-06-12_final
2019-08-02 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-08-02_final
2019-08-18 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-08-18_final
2019-08-28 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-08-28_final
2019-09-17 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2019-09-17_final
2019-10-17 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-10-17_final
2019-11-23 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2019-11-23_final
2019-12-13 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-12-13_final.stac-item
2020-01-22 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2020-01-22_final
2020-03-08 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-08_final
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final
2020-04-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2020-04-17_final
2020-05-21 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-05-21_final
2020-05-31 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-05-31_final
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-06-26_final.stac-item
2020-07-03 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-07-03_final
2020-07-13 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2020-07-13_final
2020-07-30 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-07-30_final
2020-08-02 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-02_final
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-10-12 11:37:00	ga_s2am_ard_3-2-1_50HQH_2020-10-12_final
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2020-11-13_final.stac-item
2021-03-10 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-03-10_final
2021-03-14 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-03-14_final
2021-04-02 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-04-22 12:13:35	ga_s2am_ard_3-2-1_49KHS_2021-04-22_final.stac-item
2021-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-05-09_final
2021-06-18 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-06-18_final.stac-item
2021-07-08 12:03:47	ga_s2am_ard_3-2-1_49KHS_2021-07-08_final.stac-item
2021-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-11-15 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-11-15_final
2021-11-25 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-11-25_final.stac-item
2021-11-28 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-28_final
2022-01-11 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2022-01-11_final
2022-01-21 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2022-01-21_final
2022-02-23 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2022-02-23_final
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final
2022-06-23 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-06-23_final.stac-item
2022-07-06 12:14:34	ga_s2am_ard_3-2-1_49KHP_2022-07-06_final
2022-07-26 12:14:19	ga_s2am_ard_3-2-1_49KHQ_2022-07-26_final
2022-10-04 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-10-04_final.stac-item
2023-02-01 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-02-01_final.stac-item
2023-02-18 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-03-03 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-03-03_final.stac-item
2023-03-07 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-03-07_final.stac-item
2023-03-17 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2023-03-17_final.stac-item
2023-04-22 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-04-22_final.stac-item
2023-07-15 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-07-15_final.stac-item
2023-07-21 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-07-21_final.stac-item
2023-08-01 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-08-01_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 11:46:59	ga_s2am_ard_3-2-1_50HQH_2023-08-21_final.stac-item
2023-08-24 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2023-08-24_final.stac-item
2023-09-27 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-09-27_final.stac-item
2023-12-16 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-12-16_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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