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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHP_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLK_2016-03-03_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMK_2016-04-02_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-06-07_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-06-17_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHM_2016-09-02_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLK_2016-11-28_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-12-14_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-12-14_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-01-20_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-19_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2017-07-19_final
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-04-28_final.stac-item
2018-12-04 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-04_final
2019-01-13 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-01-13_final
2019-02-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-02-22_final
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-03-31 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-03-31_final
2019-04-03 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-04-03_final
2019-04-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-04-03_final
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final
2019-05-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-13_final
2019-06-09 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-06-09_final
2019-06-12 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-06-12_final
2019-07-16 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2019-07-16_final
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final
2019-07-22 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2019-07-22_final
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-08-01_final.stac-item
2019-09-17 12:04:27	ga_s2am_ard_3-2-1_49KHP_2019-09-17_final
2019-09-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2019-09-30_final
2019-10-10 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-10-10_final
2019-11-06 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-11-06_final
2019-11-09 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-11-09_final
2020-01-18 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-01-18_final
2020-01-25 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2020-01-25_final
2020-04-07 12:13:37	ga_s2am_ard_3-2-1_49KHS_2020-04-07_final.stac-item
2020-04-17 12:13:58	ga_s2am_ard_3-2-1_49KGR_2020-04-17_final
2020-06-20 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-20_final
2020-06-27 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-06-27_final
2020-07-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-30_final
2020-09-11 12:04:31	ga_s2am_ard_3-2-1_49KHP_2020-09-11_final
2020-09-14 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-14_final
2020-09-21 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-21_final
2020-09-21 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-21_final
2020-09-21 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-09-21_final
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-04_final
2020-12-03 12:14:20	ga_s2am_ard_3-2-1_49KHP_2020-12-03_final
2021-01-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-29_final
2021-08-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2021-08-30_final
2021-09-13 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-13_final
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final
2021-09-29 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2021-09-29_final
2021-10-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-06_final
2021-11-18 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-11-18_final
2021-12-22 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-12-22_final
2022-01-01 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-01-01_final
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-01-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-01-11_final
2022-03-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-03-05_final
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final
2022-03-12 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-03-12_final
2022-03-15 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-03-15_final
2022-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-05-07_final
2022-05-08 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-05-08_final
2022-05-21 11:56:43	ga_s2am_ard_3-2-1_50HMK_2022-05-21_final
2022-06-26 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-06-26_final
2022-06-27 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-06-27_final
2022-07-16 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-07-16_final
2022-09-28 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-09-28_final.stac-item
2022-10-01 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-10-01_final.stac-item
2022-10-28 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-10-28_final.stac-item
2022-12-23 12:14:19	ga_s2am_ard_3-2-1_49KHP_2022-12-23_final.stac-item
2023-03-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2023-03-10_final.stac-item
2023-05-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-03_final.stac-item
2023-05-26 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2023-05-26_final.stac-item
2023-06-02 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-02_final.stac-item
2023-06-12 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-06-12_final.stac-item
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final.stac-item
2023-08-14 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-14_final.stac-item
2023-10-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-10-29_final.stac-item
2023-11-08 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-08_final.stac-item
2024-01-01 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-01-01_final.stac-item
2024-01-07 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-01-07_final.stac-item
2024-01-31 11:56:32	ga_s2am_ard_3-2-1_50HMK_2024-01-31_final.stac-item
2024-02-06 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2024-02-06_final.stac-item
2024-02-20 11:56:34	ga_s2am_ard_3-2-1_50HMK_2024-02-20_final.stac-item
2024-02-20 11:57:07	ga_s2am_ard_3-2-1_50HLH_2024-02-20_final.stac-item
2024-03-11 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-03-11 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-11_final.stac-item
2024-04-03 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-04-03_final.stac-item
2024-04-03 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-04-03_final.stac-item
2024-04-16 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-04-16_final.stac-item
2024-04-26 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-04-26_final.stac-item
2024-05-06 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-05-06_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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