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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKN_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGQ_2015-10-28_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMG_2015-11-21_final
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGQ_2016-01-16_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-02-18_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNK_2016-03-20_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQH_2016-06-05_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNK_2016-06-18_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-08-16_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKN_2016-11-21_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JHM_2017-01-30_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KGP_2017-03-11_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-04-23_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGM_2017-06-09_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final.stac-item
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGL_2017-11-16_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-11-29_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLK_2017-12-03_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLJ_2017-12-23_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKP_2018-01-25_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-03-19_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQK_2018-04-26_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHQ_2018-05-05_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNK_2018-05-09_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-07_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-07-14_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-07-24_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-10-16_final.stac-item
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final.stac-item
2019-03-02 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2019-03-02_final.stac-item
2019-04-17 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-04-17_final.stac-item
2019-06-02 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-02_final.stac-item
2019-07-16 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-16_final.stac-item
2019-07-19 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-19_final.stac-item
2019-08-11 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-08-11_final.stac-item
2019-08-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-08-19_final.stac-item
2019-10-21 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-21_final.stac-item
2019-11-19 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-11-19_final.stac-item
2019-11-23 11:56:14	ga_s2am_ard_3-2-1_50JKM_2019-11-23_final.stac-item
2019-11-30 11:46:33	ga_s2am_ard_3-2-1_50HPK_2019-11-30_final.stac-item
2019-12-20 11:46:31	ga_s2am_ard_3-2-1_50HNK_2019-12-20_final.stac-item
2019-12-30 11:46:24	ga_s2am_ard_3-2-1_50HQK_2019-12-30_final.stac-item
2020-01-25 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-01-25_final.stac-item
2020-02-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2020-02-27_final.stac-item
2020-02-27 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-02-27_final.stac-item
2020-03-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-22_final.stac-item
2020-05-18 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-18_final.stac-item
2020-07-27 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-07-27_final.stac-item
2020-09-15 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2020-09-15_final.stac-item
2020-11-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2020-11-20_final.stac-item
2020-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2020-12-21_final.stac-item
2020-12-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-24_final.stac-item
2021-01-16 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-16_final.stac-item
2021-02-15 11:55:45	ga_s2am_ard_3-2-1_50JKP_2021-02-15_final.stac-item
2021-03-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2021-03-24_final.stac-item
2021-04-19 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2021-04-19_final.stac-item
2021-06-19 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-19_final.stac-item
2021-06-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-06-28_final.stac-item
2021-09-03 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-03_final.stac-item
2021-09-06 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-09-06_final.stac-item
2021-09-09 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-09-09_final.stac-item
2021-09-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-09-16_final.stac-item
2021-11-25 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-11-25_final.stac-item
2021-12-05 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-12-05_final.stac-item
2021-12-09 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-12-09_final.stac-item
2022-01-01 11:55:48	ga_s2am_ard_3-2-1_50JKP_2022-01-01_final.stac-item
2022-02-10 11:56:29	ga_s2am_ard_3-2-1_50HNK_2022-02-10_final.stac-item
2022-03-08 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-03-08_final.stac-item
2022-05-07 12:13:59	ga_s2am_ard_3-2-1_49KHR_2022-05-07_final.stac-item
2022-05-14 12:04:32	ga_s2am_ard_3-2-1_49KGP_2022-05-14_final.stac-item
2022-06-14 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-06-14_final.stac-item
2022-07-03 12:05:10	ga_s2am_ard_3-2-1_49JHM_2022-07-03_final.stac-item
2022-07-30 11:57:05	ga_s2am_ard_3-2-1_50HMJ_2022-07-30_final.stac-item
2022-08-09 11:55:58	ga_s2am_ard_3-2-1_50JKP_2022-08-09_final.stac-item
2022-08-15 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-08-15_final.stac-item
2022-12-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2022-12-27_final.stac-item
2023-01-26 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-01-26_final.stac-item
2023-02-05 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-02-05_final
2023-02-18 12:05:09	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final
2023-04-12 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-04-12_final
2023-04-19 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-04-19_final
2023-05-02 12:13:59	ga_s2am_ard_3-2-1_49KGR_2023-05-02_final
2023-06-22 11:47:13	ga_s2am_ard_3-2-1_50HMH_2023-06-22_final
2023-07-05 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-05_final
2023-07-18 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-18_final
2023-07-28 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-28_final
2023-08-10 12:13:59	ga_s2am_ard_3-2-1_49KHR_2023-08-10_final
2023-08-14 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-14_final
2023-08-28 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-28_final
2023-09-07 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-09-07_final
2023-09-30 11:46:36	ga_s2am_ard_3-2-1_50HPK_2023-09-30_final
2023-10-20 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-10-20_final
2023-11-02 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-11-02_final
2024-02-03 12:04:42	ga_s2am_ard_3-2-1_49JGN_2024-02-03_final
2024-03-01 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-03-01_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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