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_50JKQ_2015-10-08_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JKS_2015-12-07_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGK_2016-01-06_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HQK_2016-01-07_final.stac-item
2016-01-23 11:56:39	ga_s2am_ard_3-2-1_50HLK_2016-01-23_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HQH_2016-02-06_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JKM_2016-09-29_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHN_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HLH_2016-11-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLH_2016-12-15_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2016-12-25_final.stac-item
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-23_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQH_2017-07-03_final.stac-item
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGR_2017-10-20_final.stac-item
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final.stac-item
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQK_2018-01-26_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMJ_2018-02-01_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNH_2018-02-08_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKP_2018-02-11_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KGR_2018-05-08_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLK_2018-06-01_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HNJ_2018-06-08_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMK_2018-06-21_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLK_2018-09-09_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JKP_2018-10-09_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_49KGQ_2018-10-22_final.stac-item
2019-02-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2019-02-03_final.stac-item
2019-03-02 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-02_final.stac-item
2019-03-12 11:36:33	ga_s2am_ard_3-2-1_50HPK_2019-03-12_final.stac-item
2019-03-25 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-03-25_final.stac-item
2019-04-07 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-04-07_final.stac-item
2019-05-14 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-14_final.stac-item
2019-07-19 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-07-19_final.stac-item
2019-09-20 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-09-20_final.stac-item
2019-10-30 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-10-30_final.stac-item
2019-11-23 11:56:37	ga_s2am_ard_3-2-1_50HMK_2019-11-23_final.stac-item
2019-12-07 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2019-12-07_final.stac-item
2019-12-13 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-12-13_final.stac-item
2020-01-15 12:04:51	ga_s2am_ard_3-2-1_50JKS_2020-01-15_final.stac-item
2020-01-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2020-01-28_final.stac-item
2020-02-17 12:14:35	ga_s2am_ard_3-2-1_49JGN_2020-02-17_final.stac-item
2020-03-02 11:55:42	ga_s2am_ard_3-2-1_50JKP_2020-03-02_final.stac-item
2020-05-27 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-05-27_final.stac-item
2020-06-06 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-06_final.stac-item
2020-06-23 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-06-23_final.stac-item
2020-07-20 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-07-20_final.stac-item
2020-07-26 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-07-26_final.stac-item
2020-08-22 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-08-22_final.stac-item
2020-08-29 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-08-29_final.stac-item
2020-10-24 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-10-24_final.stac-item
2020-12-10 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-12-10_final.stac-item
2020-12-14 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-12-14_final.stac-item
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final.stac-item
2021-01-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-22_final.stac-item
2021-02-08 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-02-08_final.stac-item
2021-03-17 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-03-17_final.stac-item
2021-03-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-03-20_final.stac-item
2021-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-05-13_final.stac-item
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final.stac-item
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final.stac-item
2021-06-22 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-22_final.stac-item
2021-06-25 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-06-25_final.stac-item
2021-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-09-19_final.stac-item
2022-01-04 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-01-04_final.stac-item
2022-01-07 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2022-01-07_final.stac-item
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final.stac-item
2022-01-28 11:46:30	ga_s2am_ard_3-2-1_50HQK_2022-01-28_final.stac-item
2022-02-10 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-02-10_final.stac-item
2022-05-01 11:55:51	ga_s2am_ard_3-2-1_50JKP_2022-05-01_final.stac-item
2022-06-26 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-06-26_final.stac-item
2022-07-04 11:36:47	ga_s2am_ard_3-2-1_50HQK_2022-07-04_final.stac-item
2022-08-29 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-08-29_final.stac-item
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-28 11:55:54	ga_s2am_ard_3-2-1_50JKP_2022-09-28_final.stac-item
2022-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-11-10_final.stac-item
2022-11-14 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2022-11-14_final.stac-item
2022-12-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-12-13_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-13 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-01-13_final.stac-item
2023-01-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-01-23_final.stac-item
2023-01-30 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-30_final.stac-item
2023-02-02 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-02-02_final
2023-03-07 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-03-07_final
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_final
2023-03-13 12:15:07	ga_s2am_ard_3-2-1_49JGL_2023-03-13_final
2023-06-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2023-06-08_final
2023-06-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-06-28_final
2023-07-01 12:13:59	ga_s2am_ard_3-2-1_49KHR_2023-07-01_final
2023-08-10 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-08-10_final
2023-08-11 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-11_final
2023-08-31 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-08-31_final
2024-01-24 12:04:50	ga_s2am_ard_3-2-1_50JKS_2024-01-24_final
2024-01-25 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2024-01-25_final
2024-01-28 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2024-01-28_final
2024-02-27 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2024-02-27_final
2024-03-11 11:56:44	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final
2024-03-11 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-11_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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