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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNG_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HQJ_2015-12-21_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGL_2015-12-27_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLL_2016-01-03_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHM_2016-01-16_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_49KGR_2016-02-18_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLH_2016-04-02_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KGP_2016-04-15_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKR_2016-07-24_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KGR_2016-07-27_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPK_2016-09-26_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HNK_2016-12-08_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HNK_2017-03-05_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-03-31_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNJ_2017-06-13_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49KHR_2017-07-29_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final.stac-item
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-12-09_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-27_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-04-08_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KGP_2018-05-05_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKP_2018-09-02_final.stac-item
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final.stac-item
2019-01-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-01-10_final.stac-item
2019-02-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2019-02-02_final.stac-item
2019-02-03 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-02-03_final.stac-item
2019-02-06 11:55:53	ga_s2am_ard_3-2-1_50JLN_2019-02-06_final.stac-item
2019-04-01 11:36:38	ga_s2am_ard_3-2-1_50HPK_2019-04-01_final.stac-item
2019-04-17 11:56:28	ga_s2am_ard_3-2-1_50JLL_2019-04-17_final.stac-item
2019-05-11 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-05-11_final.stac-item
2019-07-20 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-20_final.stac-item
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final.stac-item
2019-08-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-08-28_final.stac-item
2019-10-14 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-14_final.stac-item
2019-12-27 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2019-12-27_final.stac-item
2020-01-02 11:55:51	ga_s2am_ard_3-2-1_50JLN_2020-01-02_final.stac-item
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final.stac-item
2020-01-09 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-09_final.stac-item
2020-01-12 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-01-12_final.stac-item
2020-02-01 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final.stac-item
2020-03-28 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-28_final.stac-item
2020-04-07 12:13:52	ga_s2am_ard_3-2-1_49KHR_2020-04-07_final.stac-item
2020-04-11 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2020-04-11_final.stac-item
2020-04-14 12:05:51	ga_s2am_ard_3-2-1_50JLN_2020-04-14_final.stac-item
2020-04-28 11:46:43	ga_s2am_ard_3-2-1_50HMK_2020-04-28_final.stac-item
2020-05-08 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-05-08_final.stac-item
2020-05-14 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-05-14_final.stac-item
2020-05-17 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-05-17_final.stac-item
2020-05-28 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-05-28_final.stac-item
2020-06-24 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-06-24_final.stac-item
2020-06-24 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-06-24_final.stac-item
2020-06-26 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-06-26_final.stac-item
2020-07-06 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-07-06_final.stac-item
2020-08-15 12:14:02	ga_s2am_ard_3-2-1_49KHR_2020-08-15_final.stac-item
2020-09-04 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-04_final.stac-item
2020-10-12 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-10-12_final.stac-item
2021-01-12 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-12_final.stac-item
2021-01-26 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-01-26_final.stac-item
2021-02-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-02-01_final.stac-item
2021-02-09 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-02-09_final.stac-item
2021-02-19 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-02-19_final.stac-item
2021-03-14 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-03-14_final.stac-item
2021-04-30 11:37:04	ga_s2am_ard_3-2-1_50HPH_2021-04-30_final.stac-item
2021-06-15 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-06-15_final.stac-item
2021-06-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-06-28_final.stac-item
2021-08-04 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-08-04_final.stac-item
2021-08-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-08-08_final
2021-09-26 12:04:46	ga_s2am_ard_3-2-1_50JKT_2021-09-26_final.stac-item
2022-01-08 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2022-01-08_final.stac-item
2022-01-17 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-01-17_final.stac-item
2022-01-24 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-01-24_final.stac-item
2022-02-07 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2022-02-07_final.stac-item
2022-02-20 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-02-20_final.stac-item
2022-07-06 12:14:08	ga_s2am_ard_3-2-1_49KHR_2022-07-06_final.stac-item
2022-08-25 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-08-25_final.stac-item
2022-09-11 12:05:51	ga_s2am_ard_3-2-1_50JKP_2022-09-11_final.stac-item
2022-10-31 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-10-31_final.stac-item
2023-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-12_nrt.stac-item
2023-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-12_final
2023-03-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-03-10_final
2023-04-12 12:14:27	ga_s2am_ard_3-2-1_49KGP_2023-04-12_final
2023-07-21 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-07-21_final
2023-08-20 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2023-08-20_final
2023-09-03 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-09-03_final
2023-09-30 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2023-09-30_final
2023-09-30 11:47:23	ga_s2am_ard_3-2-1_50HNG_2023-09-30_final
2023-10-09 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-10-09_final
2023-10-30 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-30_final
2023-12-02 11:56:58	ga_s2am_ard_3-2-1_50HMH_2023-12-02_final
2023-12-05 12:04:39	ga_s2am_ard_3-2-1_49JGN_2023-12-05_final
2023-12-16 11:36:34	ga_s2am_ard_3-2-1_50HPK_2023-12-16_final
2023-12-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2023-12-16_final
2024-01-08 11:46:36	ga_s2am_ard_3-2-1_50HMK_2024-01-08_final
2024-03-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_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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