Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLH_2015-12-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHR_2016-01-16_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGJ_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGP_2016-02-08_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGR_2016-08-26_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HNH_2017-01-14_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-01-20_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-02_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPJ_2017-03-12_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50HLK_2017-04-27_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMJ_2017-07-03_final.stac-item
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-10-30_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HNJ_2017-11-20_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGN_2018-01-28_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-02-14_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-03-09_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMH_2018-03-10_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HLH_2018-03-20_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-03-29_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLJ_2018-04-02_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPJ_2018-05-16_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-07_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-07-24_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-06_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-11-01_final.stac-item
2019-01-03 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-01-03_final.stac-item
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final.stac-item
2019-04-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-04-03_final.stac-item
2019-06-23 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-06-23_final.stac-item
2019-07-12 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-12_final.stac-item
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final.stac-item
2019-08-05 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2019-08-05_final.stac-item
2019-10-21 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-10-21_final.stac-item
2019-10-31 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-10-31_final.stac-item
2019-11-10 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-11-10_final.stac-item
2019-11-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2019-11-16_final.stac-item
2020-01-06 11:36:32	ga_s2am_ard_3-2-1_50HPK_2020-01-06_final.stac-item
2020-01-28 12:14:52	ga_s2am_ard_3-2-1_49JFM_2020-01-28_final.stac-item
2020-03-12 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-12_final.stac-item
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final.stac-item
2020-03-15 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-03-15_final.stac-item
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final.stac-item
2020-04-28 11:47:17	ga_s2am_ard_3-2-1_50HLH_2020-04-28_final.stac-item
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final.stac-item
2020-06-17 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-06-17_final.stac-item
2020-07-20 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-07-20_final.stac-item
2020-10-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-10-01_final.stac-item
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final.stac-item
2020-11-23 12:14:43	ga_s2am_ard_3-2-1_49JGN_2020-11-23_final.stac-item
2020-11-24 11:46:39	ga_s2am_ard_3-2-1_50HNK_2020-11-24_final.stac-item
2020-12-04 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2020-12-04_final.stac-item
2021-02-15 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-02-15_final.stac-item
2021-03-07 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-03-07_final.stac-item
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final.stac-item
2021-04-02 12:13:55	ga_s2am_ard_3-2-1_49KGR_2021-04-02_final.stac-item
2021-04-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final.stac-item
2021-04-03 11:46:37	ga_s2am_ard_3-2-1_50HMK_2021-04-03_final.stac-item
2021-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-15_final.stac-item
2021-07-18 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-07-18_final.stac-item
2021-08-11 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-11_final
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final.stac-item
2021-09-06 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-09-06_final.stac-item
2021-09-09 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-09-09_final.stac-item
2021-10-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-03_final.stac-item
2021-10-26 12:04:33	ga_s2am_ard_3-2-1_49KHP_2021-10-26_final.stac-item
2021-10-29 12:15:15	ga_s2am_ard_3-2-1_49JGL_2021-10-29_final.stac-item
2021-12-25 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-12-25_final.stac-item
2021-12-26 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-12-26_final.stac-item
2022-05-04 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2022-05-04_final.stac-item
2022-05-08 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-05-08_final.stac-item
2022-06-06 12:14:49	ga_s2am_ard_3-2-1_49JGN_2022-06-06_final.stac-item
2022-06-13 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-06-13_final.stac-item
2022-07-30 11:57:19	ga_s2am_ard_3-2-1_50HLH_2022-07-30_final.stac-item
2022-09-12 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-09-12_final.stac-item
2022-10-08 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-10-08_final.stac-item
2022-12-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-01_final.stac-item
2023-01-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2023-01-22_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_nrt.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_nrt.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_final
2023-04-26 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-26_final
2023-05-26 11:56:43	ga_s2am_ard_3-2-1_50HLK_2023-05-26_final
2023-08-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2023-08-20_final
2023-09-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-03_final
2023-10-06 12:04:29	ga_s2am_ard_3-2-1_49KHP_2023-10-06_final
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final
2023-12-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-12-19_final
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final
2024-01-28 11:46:57	ga_s2am_ard_3-2-1_50HPH_2024-01-28_final
2024-02-03 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2024-02-03_final
2024-02-07 11:47:13	ga_s2am_ard_3-2-1_50HPG_2024-02-07_final
2024-02-13 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2024-02-13_final
2024-02-17 11:47:08	ga_s2am_ard_3-2-1_50HMH_2024-02-17_final
2024-02-20 11:57:07	ga_s2am_ard_3-2-1_50HLH_2024-02-20_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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