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
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HLK_2015-10-05_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGQ_2015-10-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKQ_2016-02-15_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHP_2016-06-07_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMK_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLM_2016-06-11_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-08-13_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGN_2016-10-12_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2016-11-01_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2016-11-24_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKQ_2017-06-19_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKS_2017-06-19_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2017-06-22_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGR_2017-09-10_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-11-19_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2017-11-29_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHQ_2017-12-16_final.stac-item
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPK_2018-02-15_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLK_2018-05-12_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HLH_2018-05-29_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLH_2018-06-01_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKS_2018-08-13_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGL_2018-09-25_final.stac-item
2018-11-08 11:55:42	ga_s2am_ard_3-2-1_50JKP_2018-11-08_final.stac-item
2018-11-14 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2018-11-14_final.stac-item
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final.stac-item
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final.stac-item
2019-01-11 11:36:33	ga_s2am_ard_3-2-1_50HPK_2019-01-11_final.stac-item
2019-04-17 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-04-17_final.stac-item
2019-06-03 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-06-03_final.stac-item
2019-06-29 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-06-29_final.stac-item
2019-07-02 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-02_final.stac-item
2019-07-03 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2019-07-03_final.stac-item
2019-08-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2019-08-15_final.stac-item
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final.stac-item
2019-12-20 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-12-20_final.stac-item
2019-12-29 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-12-29_final.stac-item
2020-01-05 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-01-05_final.stac-item
2020-02-18 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2020-02-18_final.stac-item
2020-02-24 12:04:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final.stac-item
2020-03-09 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2020-03-09_final.stac-item
2020-03-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2020-03-22_final.stac-item
2020-04-24 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2020-04-24_final.stac-item
2020-05-01 11:56:33	ga_s2am_ard_3-2-1_50HNK_2020-05-01_final.stac-item
2020-05-04 12:05:00	ga_s2am_ard_3-2-1_49JHM_2020-05-04_final.stac-item
2020-05-17 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-05-17_final.stac-item
2020-07-03 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-07-03_final.stac-item
2020-07-10 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-07-10_final.stac-item
2020-09-18 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-09-18_final.stac-item
2020-10-14 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-10-14_final.stac-item
2020-10-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-25_final.stac-item
2020-11-10 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-11-10_final.stac-item
2020-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2020-11-13_final.stac-item
2020-11-20 12:04:59	ga_s2am_ard_3-2-1_50JKS_2020-11-20_final.stac-item
2020-12-14 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-12-14_final.stac-item
2021-01-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-01-06_final.stac-item
2021-03-14 11:47:16	ga_s2am_ard_3-2-1_50HPG_2021-03-14_final
2021-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-03-27_final.stac-item
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final.stac-item
2021-04-19 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2021-04-19_final.stac-item
2021-06-05 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-05_final.stac-item
2021-06-18 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-06-18_final.stac-item
2021-07-11 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-07-11_final.stac-item
2021-08-04 11:56:28	ga_s2am_ard_3-2-1_50JLL_2021-08-04_final.stac-item
2021-09-23 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-09-23_final.stac-item
2021-09-29 12:14:02	ga_s2am_ard_3-2-1_49KGR_2021-09-29_final.stac-item
2021-11-15 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-11-15_final.stac-item
2021-11-25 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-11-25_final.stac-item
2022-02-23 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2022-02-23_final.stac-item
2022-03-28 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-03-28_final.stac-item
2022-04-21 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-04-21_final.stac-item
2022-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2022-05-21_final.stac-item
2022-10-08 11:56:17	ga_s2am_ard_3-2-1_50JLM_2022-10-08_final.stac-item
2022-10-11 12:04:48	ga_s2am_ard_3-2-1_50JKT_2022-10-11_final.stac-item
2022-10-24 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-10-24_final.stac-item
2022-11-07 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-11-07_final.stac-item
2022-11-14 11:46:33	ga_s2am_ard_3-2-1_50HQK_2022-11-14_final.stac-item
2022-12-24 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2022-12-24_final.stac-item
2022-12-27 11:56:35	ga_s2am_ard_3-2-1_50HMK_2022-12-27_final.stac-item
2023-01-13 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-01-13_final.stac-item
2023-01-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-01-13_final.stac-item
2023-01-19 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-01-19_final.stac-item
2023-05-23 11:47:13	ga_s2am_ard_3-2-1_50HMH_2023-05-23_final
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final
2023-08-17 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2023-08-17_final
2023-08-27 12:05:03	ga_s2am_ard_3-2-1_50JKS_2023-08-27_final
2023-10-06 12:04:58	ga_s2am_ard_3-2-1_49JHM_2023-10-06_final
2023-10-20 11:46:30	ga_s2am_ard_3-2-1_50HQK_2023-10-20_final
2023-11-08 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-11-08_final
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-11-25_final
2023-12-12 11:56:21	ga_s2am_ard_3-2-1_50JLL_2023-12-12_final
2024-01-14 12:05:20	ga_s2am_ard_3-2-1_50JKQ_2024-01-14_final
2024-02-17 11:47:24	ga_s2am_ard_3-2-1_50HLG_2024-02-17_final
2024-03-05 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-03-05_final
2024-03-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-11_final
2024-04-10 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-04-10_final
2024-05-07 11:46:32	ga_s2am_ard_3-2-1_50HQK_2024-05-07_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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