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
2015-09-11 12:13:46	ga_s2am_ard_3-2-1_49KHR_2015-09-11_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQJ_2015-12-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JHN_2016-02-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HLK_2016-04-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKP_2016-08-23_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQJ_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQK_2016-11-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPH_2016-12-15_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HQH_2017-01-24_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPJ_2017-03-12_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HNJ_2017-03-25_final.stac-item
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HMJ_2017-05-17_final.stac-item
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HQK_2017-06-20_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHR_2017-12-16_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLK_2018-02-01_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNH_2018-04-09_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-08-26_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPK_2018-09-23_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-10-12_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final.stac-item
2019-01-01 11:36:32	ga_s2am_ard_3-2-1_50HPK_2019-01-01_final.stac-item
2019-03-12 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-12_final.stac-item
2019-03-24 12:14:40	ga_s2am_ard_3-2-1_49JGN_2019-03-24_final.stac-item
2019-04-11 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2019-04-11_final.stac-item
2019-05-14 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-14_final.stac-item
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final.stac-item
2019-06-30 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-06-30_final.stac-item
2019-08-29 11:37:08	ga_s2am_ard_3-2-1_50HPH_2019-08-29_final.stac-item
2019-09-01 11:46:30	ga_s2am_ard_3-2-1_50HQK_2019-09-01_final.stac-item
2019-09-10 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2019-09-10_final.stac-item
2019-09-17 12:05:14	ga_s2am_ard_3-2-1_49JGL_2019-09-17_final.stac-item
2019-11-06 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-11-06_final.stac-item
2019-11-30 11:47:05	ga_s2am_ard_3-2-1_50HNH_2019-11-30_final.stac-item
2019-12-03 11:57:04	ga_s2am_ard_3-2-1_50HMH_2019-12-03_final.stac-item
2019-12-30 11:46:38	ga_s2am_ard_3-2-1_50HQJ_2019-12-30_final.stac-item
2020-01-02 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-01-02_final.stac-item
2020-01-26 11:36:56	ga_s2am_ard_3-2-1_50HQH_2020-01-26_final.stac-item
2020-03-19 11:46:26	ga_s2am_ard_3-2-1_50HQK_2020-03-19_final.stac-item
2020-05-04 12:05:00	ga_s2am_ard_3-2-1_49JHM_2020-05-04_final.stac-item
2020-05-14 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-05-14_final.stac-item
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final.stac-item
2020-06-07 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-06-07_final.stac-item
2020-08-26 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-08-26_final.stac-item
2020-10-21 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-21_final.stac-item
2020-12-04 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2020-12-04_final.stac-item
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final.stac-item
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final.stac-item
2021-02-08 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-02-08_final.stac-item
2021-02-12 11:47:01	ga_s2am_ard_3-2-1_50HPH_2021-02-12_final.stac-item
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final.stac-item
2021-04-13 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2021-04-13_final.stac-item
2021-04-19 12:04:41	ga_s2am_ard_3-2-1_49JGN_2021-04-19_final.stac-item
2021-04-30 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-04-30_final.stac-item
2021-08-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-14_final.stac-item
2021-09-29 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-09-29_final.stac-item
2021-10-23 11:56:35	ga_s2am_ard_3-2-1_50HNK_2021-10-23_final.stac-item
2022-01-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-05_final.stac-item
2022-01-21 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-21_final.stac-item
2022-02-10 11:56:35	ga_s2am_ard_3-2-1_50HMK_2022-02-10_final.stac-item
2022-02-20 11:57:07	ga_s2am_ard_3-2-1_50HMH_2022-02-20_final.stac-item
2022-02-24 11:36:40	ga_s2am_ard_3-2-1_50HPK_2022-02-24_final.stac-item
2022-03-16 11:36:38	ga_s2am_ard_3-2-1_50HQK_2022-03-16_final.stac-item
2022-05-01 11:55:51	ga_s2am_ard_3-2-1_50JKP_2022-05-01_final.stac-item
2022-05-08 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-05-08_final.stac-item
2022-05-21 11:55:53	ga_s2am_ard_3-2-1_50JKP_2022-05-21_final.stac-item
2022-05-24 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-05-24_final.stac-item
2022-06-27 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-06-27_final.stac-item
2022-07-03 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-07-03_final.stac-item
2022-12-10 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-12-10_final.stac-item
2022-12-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2022-12-20_final.stac-item
2022-12-23 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-23_final.stac-item
2022-12-24 11:47:00	ga_s2am_ard_3-2-1_50HPH_2022-12-24_final.stac-item
2023-01-29 12:04:26	ga_s2am_ard_3-2-1_49KHP_2023-01-29_final.stac-item
2023-02-09 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-02-09_final.stac-item
2023-02-18 12:04:43	ga_s2am_ard_3-2-1_49JGN_2023-02-18_nrt.stac-item
2023-02-18 12:04:43	ga_s2am_ard_3-2-1_49JGN_2023-02-18_final
2023-02-22 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-02-22_nrt.stac-item
2023-02-22 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-02-22_final
2023-05-19 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-05-19_final
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final
2023-08-04 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-04_final
2023-11-15 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-11-15_final
2023-11-19 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-11-19_final
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final
2023-12-19 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-12-19_final
2024-01-04 12:04:42	ga_s2am_ard_3-2-1_49JGN_2024-01-04_final
2024-02-03 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2024-02-03_final
2024-02-07 11:46:36	ga_s2am_ard_3-2-1_50HNK_2024-02-07_final
2024-02-20 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-02-20_final
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final
2024-03-24 12:05:30	ga_s2am_ard_3-2-1_49JGK_2024-03-24_final
2024-04-23 12:03:47	ga_s2am_ard_3-2-1_49KHS_2024-04-23_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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