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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGK_2015-10-21_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JML_2015-11-14_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLP_2016-04-02_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-06-14_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HQJ_2016-06-18_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKS_2016-08-13_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPJ_2016-09-06_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLJ_2016-10-29_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMH_2016-12-08_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JLM_2017-05-10_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMH_2017-07-03_final.stac-item
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JMM_2017-07-06_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HQK_2017-07-23_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2017-09-27_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLH_2017-10-24_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKR_2018-01-05_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-03-06_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLN_2018-06-21_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLR_2018-07-04_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JMM_2018-07-28_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPK_2018-09-26_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLN_2018-10-22_final.stac-item
2018-11-25 11:46:46	ga_s2am_ard_3-2-1_50HQH_2018-11-25_final.stac-item
2018-12-05 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-05_final.stac-item
2019-04-30 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-04-30_final.stac-item
2019-05-27 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-27_final.stac-item
2019-05-30 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-05-30_final.stac-item
2019-06-29 12:04:47	ga_s2am_ard_3-2-1_49JHN_2019-06-29_final.stac-item
2019-07-13 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-13_final.stac-item
2019-08-18 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-08-18_final.stac-item
2019-08-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-08-19_final.stac-item
2019-10-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2019-10-14_final.stac-item
2019-11-10 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-11-10_final.stac-item
2020-01-15 12:04:22	ga_s2am_ard_3-2-1_49KHP_2020-01-15_final.stac-item
2020-02-08 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2020-02-08_final.stac-item
2020-02-11 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-11_final.stac-item
2020-05-17 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-05-17_final.stac-item
2020-05-31 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-05-31_final.stac-item
2020-06-10 11:56:32	ga_s2am_ard_3-2-1_50JLL_2020-06-10_final.stac-item
2020-06-30 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-06-30_final.stac-item
2020-09-28 11:55:47	ga_s2am_ard_3-2-1_50JLP_2020-09-28_final.stac-item
2020-10-02 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-02_final.stac-item
2020-12-24 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2020-12-24_final.stac-item
2021-02-05 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-02-05_final.stac-item
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final.stac-item
2021-02-12 11:46:28	ga_s2am_ard_3-2-1_50HQK_2021-02-12_final.stac-item
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final.stac-item
2021-04-23 11:47:02	ga_s2am_ard_3-2-1_50HNH_2021-04-23_final.stac-item
2021-04-26 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-26_final.stac-item
2021-05-26 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-05-26_final.stac-item
2021-07-15 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-15_final.stac-item
2021-07-28 12:04:33	ga_s2am_ard_3-2-1_49KHP_2021-07-28_final.stac-item
2021-08-17 12:06:07	ga_s2am_ard_3-2-1_50JLM_2021-08-17_final.stac-item
2021-08-27 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-08-27_final.stac-item
2021-12-02 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-02_final.stac-item
2021-12-05 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-12-05_final.stac-item
2021-12-15 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-12-15_final.stac-item
2021-12-28 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-12-28_final.stac-item
2022-01-07 12:14:00	ga_s2am_ard_3-2-1_49KGR_2022-01-07_final.stac-item
2022-02-03 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-02-03_final.stac-item
2022-02-23 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-02-23_final.stac-item
2022-03-08 12:15:24	ga_s2am_ard_3-2-1_49JGK_2022-03-08_final.stac-item
2022-03-19 11:46:16	ga_s2am_ard_3-2-1_50JMM_2022-03-19_final.stac-item
2022-04-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-04-08_final.stac-item
2022-05-01 11:56:31	ga_s2am_ard_3-2-1_50JLL_2022-05-01_final.stac-item
2022-05-11 11:56:11	ga_s2am_ard_3-2-1_50JMM_2022-05-11_final.stac-item
2022-05-11 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-05-11_final.stac-item
2022-05-28 11:46:37	ga_s2am_ard_3-2-1_50HQK_2022-05-28_final.stac-item
2022-05-28 11:47:01	ga_s2am_ard_3-2-1_50HQH_2022-05-28_final.stac-item
2022-05-31 11:56:48	ga_s2am_ard_3-2-1_50HLK_2022-05-31_final.stac-item
2022-06-03 12:04:36	ga_s2am_ard_3-2-1_49KHP_2022-06-03_final.stac-item
2022-06-14 11:37:13	ga_s2am_ard_3-2-1_50HQH_2022-06-14_final.stac-item
2022-06-23 12:04:11	ga_s2am_ard_3-2-1_49KHR_2022-06-23_final.stac-item
2022-09-21 12:05:19	ga_s2am_ard_3-2-1_50JKR_2022-09-21_final.stac-item
2022-10-01 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-10-01_final.stac-item
2022-10-24 12:14:58	ga_s2am_ard_3-2-1_49JGM_2022-10-24_final.stac-item
2022-11-17 11:55:41	ga_s2am_ard_3-2-1_50JMP_2022-11-17_final.stac-item
2022-11-27 11:56:17	ga_s2am_ard_3-2-1_50JNL_2022-11-27_final.stac-item
2022-11-30 12:04:28	ga_s2am_ard_3-2-1_49KHP_2022-11-30_final.stac-item
2022-12-13 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-12-13_final.stac-item
2022-12-24 11:46:24	ga_s2am_ard_3-2-1_50JML_2022-12-24_final.stac-item
2023-01-12 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-01-12_final.stac-item
2023-01-13 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-01-13_final.stac-item
2023-01-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2023-01-30_final.stac-item
2023-02-18 12:05:52	ga_s2am_ard_3-2-1_50JKN_2023-02-18_final
2023-03-07 11:56:04	ga_s2am_ard_3-2-1_50JMM_2023-03-07_final
2023-04-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-04-09_final
2023-05-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2023-05-03_final
2023-05-09 12:05:51	ga_s2am_ard_3-2-1_50JLN_2023-05-09_final
2023-06-29 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-29_final
2023-07-02 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2023-07-02_final
2023-07-11 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-07-11_final
2023-07-28 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-28_final
2023-08-20 12:14:33	ga_s2am_ard_3-2-1_49KGP_2023-08-20_final
2023-08-31 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-31_final
2024-01-11 11:57:17	ga_s2am_ard_3-2-1_50HLG_2024-01-11_final
2024-01-17 12:14:37	ga_s2am_ard_3-2-1_49JFN_2024-01-17_final
2024-01-17 12:15:02	ga_s2am_ard_3-2-1_49JGL_2024-01-17_final
2024-02-23 12:04:55	ga_s2am_ard_3-2-1_49JHM_2024-02-23_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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