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
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLG_2016-04-02_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-08-06_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGN_2016-08-23_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-10-22_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2016-11-01_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGQ_2016-11-14_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-21_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2016-12-24_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLG_2017-02-26_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-03-04_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLH_2017-06-06_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMJ_2017-06-26_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-07-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHP_2017-07-12_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HMK_2017-08-05_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMG_2017-08-12_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHR_2018-01-08_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLG_2018-01-19_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGL_2018-01-28_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KHR_2018-02-07_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-02-27_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_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_49KHS_2018-03-26_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-04-18_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-05-12_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HMK_2018-06-11_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMK_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-07-04_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGP_2018-07-27_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHR_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-15_final
2018-11-24 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-24_final
2018-12-05 11:47:06	ga_s2am_ard_3-2-1_50HLH_2018-12-05_final
2018-12-11 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-11_final
2019-01-03 12:14:50	ga_s2am_ard_3-2-1_49JGM_2019-01-03_final
2019-01-03 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-01-03_final
2019-04-27 11:57:24	ga_s2am_ard_3-2-1_50HMG_2019-04-27_final.stac-item
2019-05-17 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-05-17_final
2019-06-29 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-06-29_final
2019-07-23 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-23_final
2019-08-18 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-08-18_final
2019-08-21 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-08-21_final
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final
2019-11-09 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-11-09_final
2019-11-19 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-11-19_final
2019-12-06 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-12-06_final
2019-12-16 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-12-16_final
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final
2020-01-05 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-01-05_final
2020-02-17 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-02-17_final.stac-item
2020-06-27 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-06-27_final.stac-item
2020-07-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-07-27_final
2020-09-18 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-09-18_final.stac-item
2020-11-10 12:04:32	ga_s2am_ard_3-2-1_49KHP_2020-11-10_final
2020-11-14 11:47:28	ga_s2am_ard_3-2-1_50HMG_2020-11-14_final.stac-item
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2021-01-09 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-09_final
2021-02-15 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-02-15_final.stac-item
2021-02-21 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-21_final
2021-02-28 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-02-28_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-05-09 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-05-09_final
2021-06-05 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-06-05_final
2021-07-15 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-15_final
2021-07-25 11:56:40	ga_s2am_ard_3-2-1_50HMK_2021-07-25_final
2021-07-28 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-28_final
2021-07-28 12:04:26	ga_s2am_ard_3-2-1_49KHP_2021-07-28_final
2021-08-01 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-08-01_final
2021-11-25 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-11-25_final
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-02-16 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-02-16_final
2022-03-08 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-03-08_final
2022-04-28 11:47:29	ga_s2am_ard_3-2-1_50HMG_2022-04-28_final.stac-item
2022-06-27 11:46:53	ga_s2am_ard_3-2-1_50HMK_2022-06-27_final
2022-06-27 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-06-27_final
2022-10-04 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-10-04_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2022-10-11_final.stac-item
2023-01-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-01-26_final.stac-item
2023-02-11 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-11_final.stac-item
2023-02-21 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-02-21_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-04-14 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-04-14_final.stac-item
2023-06-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-11_final.stac-item
2023-07-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-07-02_final.stac-item
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final.stac-item
2023-07-08 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-07-08_final.stac-item
2023-11-02 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-11-02_final.stac-item
2024-02-03 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2024-02-03_final.stac-item
2024-02-13 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2024-02-13_final.stac-item
2024-03-24 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-03-24_final.stac-item
2024-03-28 11:47:27	ga_s2am_ard_3-2-1_50HLG_2024-03-28_final.stac-item
2024-04-13 12:04:33	ga_s2am_ard_3-2-1_49KGP_2024-04-13_final.stac-item
2024-04-30 11:56:57	ga_s2am_ard_3-2-1_50HLJ_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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