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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMH_2015-11-14_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMH_2015-12-21_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HLK_2016-05-12_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-29_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQK_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMG_2016-07-01_final
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JKP_2016-07-01_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKS_2016-07-14_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-08-13_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-21_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMK_2016-12-25_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2017-03-31_final.stac-item
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HPK_2017-04-01_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHP_2017-04-20_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-06-19_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQK_2017-07-30_final.stac-item
2017-09-20 12:13:39	ga_s2am_ard_3-2-1_49KGR_2017-09-20_final.stac-item
2017-11-23 11:56:04	ga_s2am_ard_3-2-1_50HNK_2017-11-23_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-26_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JHN_2018-01-25_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-03-06_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMJ_2018-03-20_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLP_2018-06-21_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2018-06-28_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMJ_2018-08-10_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKS_2018-08-23_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-10-22_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-25_final.stac-item
2018-12-11 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-11_final.stac-item
2018-12-21 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-21_final.stac-item
2019-02-13 11:47:03	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final.stac-item
2019-03-25 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2019-03-25_final.stac-item
2019-05-17 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-05-17_final.stac-item
2019-06-29 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-06-29_final.stac-item
2019-08-25 11:55:44	ga_s2am_ard_3-2-1_50JLP_2019-08-25_final.stac-item
2019-09-27 12:04:43	ga_s2am_ard_3-2-1_49JHN_2019-09-27_final.stac-item
2019-11-06 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-11-06_final.stac-item
2019-11-23 11:56:30	ga_s2am_ard_3-2-1_50HNK_2019-11-23_final.stac-item
2020-01-05 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-01-05_final.stac-item
2020-01-19 11:46:34	ga_s2am_ard_3-2-1_50HMK_2020-01-19_final.stac-item
2020-01-19 11:46:47	ga_s2am_ard_3-2-1_50HQH_2020-01-19_final.stac-item
2020-01-29 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2020-01-29_final.stac-item
2020-03-02 11:56:32	ga_s2am_ard_3-2-1_50HMK_2020-03-02_final.stac-item
2020-03-05 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-05_final.stac-item
2020-03-25 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-25_final.stac-item
2020-04-24 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2020-04-24_final.stac-item
2020-05-11 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-05-11_final.stac-item
2020-06-03 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-03_final.stac-item
2020-06-17 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-06-17_final.stac-item
2020-06-26 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-06-26_final.stac-item
2020-07-13 12:05:01	ga_s2am_ard_3-2-1_50JKS_2020-07-13_final.stac-item
2020-08-26 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-08-26_final.stac-item
2020-09-18 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-09-18_final.stac-item
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final.stac-item
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-19_final.stac-item
2021-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-05-12_final.stac-item
2021-09-20 11:46:43	ga_s2am_ard_3-2-1_50HMK_2021-09-20_final.stac-item
2021-10-30 11:46:45	ga_s2am_ard_3-2-1_50HMK_2021-10-30_final.stac-item
2021-11-08 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-11-08_final.stac-item
2021-12-05 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-12-05_final.stac-item
2022-01-28 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-01-28_final.stac-item
2022-01-31 11:56:30	ga_s2am_ard_3-2-1_50HNK_2022-01-31_final.stac-item
2022-02-14 11:36:34	ga_s2am_ard_3-2-1_50HQK_2022-02-14_final.stac-item
2022-02-23 12:04:24	ga_s2am_ard_3-2-1_49KHP_2022-02-23_final.stac-item
2022-05-04 12:05:01	ga_s2am_ard_3-2-1_49JHM_2022-05-04_final.stac-item
2022-05-21 11:55:48	ga_s2am_ard_3-2-1_50JLP_2022-05-21_final.stac-item
2022-05-28 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-05-28_final.stac-item
2022-08-13 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-08-13_final.stac-item
2022-11-20 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2022-11-20_final.stac-item
2023-01-29 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-01-29_final.stac-item
2023-02-05 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-02-05_final
2023-02-05 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-02-05_final
2023-03-14 11:47:11	ga_s2am_ard_3-2-1_50HLH_2023-03-14_final
2023-04-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2023-04-29_final
2023-05-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2023-05-03_final
2023-05-26 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-05-26_final
2023-06-08 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-06-08_final
2023-06-19 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-06-19_final
2023-07-19 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-07-19_final
2023-08-11 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-11_final
2023-09-26 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2023-09-26_final
2023-10-26 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-10-26_final
2023-11-05 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-11-05_final
2023-11-19 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-11-19_final
2024-01-04 12:04:39	ga_s2am_ard_3-2-1_50JKT_2024-01-04_final
2024-01-15 11:37:10	ga_s2am_ard_3-2-1_50HQG_2024-01-15_final
2024-01-24 12:04:50	ga_s2am_ard_3-2-1_50JKS_2024-01-24_final
2024-03-14 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2024-03-14_final
2024-03-24 12:04:58	ga_s2am_ard_3-2-1_50JKS_2024-03-24_final
2024-03-28 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-28_final
2024-04-10 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-04-10_final
2024-04-17 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2024-04-17_final
2024-05-03 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2024-05-03_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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