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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGM_2015-12-30_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGK_2016-01-26_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JHM_2016-03-16_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGK_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KGP_2016-08-23_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGK_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGP_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-05_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49JGM_2016-11-14_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGL_2016-12-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGM_2016-12-01_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGM_2016-12-21_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-03-04_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGM_2017-03-04_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHM_2017-03-31_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGM_2017-05-13_final.stac-item
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-06-29_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-09-30_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-02-14_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-02-17_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-24_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KGP_2018-03-16_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-05-28_final.stac-item
2018-12-24 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-12-24_final.stac-item
2019-01-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-01-13_final.stac-item
2019-03-31 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-03-31_final.stac-item
2019-04-30 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-04-30_final.stac-item
2019-05-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-05-10_final.stac-item
2019-06-19 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-06-19_final.stac-item
2019-06-22 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-06-22_final.stac-item
2019-07-09 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-09_final.stac-item
2019-07-19 12:04:48	ga_s2am_ard_3-2-1_49JHN_2019-07-19_final.stac-item
2019-07-22 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-22_final.stac-item
2019-08-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-08-11_final.stac-item
2019-09-07 12:04:30	ga_s2am_ard_3-2-1_49KGP_2019-09-07_final.stac-item
2019-09-07 12:04:56	ga_s2am_ard_3-2-1_49JHM_2019-09-07_final.stac-item
2019-10-20 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-10-20_final.stac-item
2019-12-26 12:04:51	ga_s2am_ard_3-2-1_49JHM_2019-12-26_final.stac-item
2019-12-29 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-12-29_final.stac-item
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final.stac-item
2020-03-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-15_final.stac-item
2020-03-18 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-03-18_final.stac-item
2020-04-17 12:15:10	ga_s2am_ard_3-2-1_49JGL_2020-04-17_final.stac-item
2020-04-24 12:04:44	ga_s2am_ard_3-2-1_49JHN_2020-04-24_final.stac-item
2020-04-27 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2020-04-27_final.stac-item
2020-06-13 12:04:49	ga_s2am_ard_3-2-1_49JHN_2020-06-13_final.stac-item
2020-06-16 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-06-16_final.stac-item
2020-07-13 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-13_final.stac-item
2020-09-21 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-21_final.stac-item
2021-01-19 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-01-19_final.stac-item
2021-02-01 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-02-01_final.stac-item
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final.stac-item
2021-03-20 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-03-20_final.stac-item
2021-03-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2021-03-23_final.stac-item
2021-04-19 12:04:26	ga_s2am_ard_3-2-1_49KGP_2021-04-19_final.stac-item
2021-05-09 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-05-09_final.stac-item
2021-05-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-05-19_final.stac-item
2021-08-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-08-10_final.stac-item
2021-09-26 12:04:50	ga_s2am_ard_3-2-1_49JGN_2021-09-26_final.stac-item
2021-10-29 12:15:15	ga_s2am_ard_3-2-1_49JGL_2021-10-29_final.stac-item
2021-11-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-18_final.stac-item
2021-11-28 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-11-28_final.stac-item
2021-12-15 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-15_final.stac-item
2021-12-15 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-12-15_final.stac-item
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final.stac-item
2022-01-17 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-01-17_final.stac-item
2022-03-08 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-08_final.stac-item
2022-04-07 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-04-07_final.stac-item
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final.stac-item
2022-07-06 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-07-06_final.stac-item
2022-09-01 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-09-01_final.stac-item
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-09-01_final.stac-item
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-11 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-09-11_final.stac-item
2022-09-11 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-09-11_final.stac-item
2022-10-24 12:14:58	ga_s2am_ard_3-2-1_49JGM_2022-10-24_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2022-11-20 12:05:30	ga_s2am_ard_3-2-1_49JGK_2022-11-20_final.stac-item
2022-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-11-30_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2022-12-30 12:05:14	ga_s2am_ard_3-2-1_49JGL_2022-12-30_final.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_nrt.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_final
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final
2023-05-29 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-05-29_final
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final
2023-08-20 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-08-20_final
2023-09-26 12:05:03	ga_s2am_ard_3-2-1_49JGM_2023-09-26_final
2023-12-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2023-12-15_final
2024-01-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2024-01-04_final
2024-01-07 12:14:52	ga_s2am_ard_3-2-1_49JGM_2024-01-07_final
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final
2024-02-06 12:14:52	ga_s2am_ard_3-2-1_49JGM_2024-02-06_final
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final
2024-03-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-07_final
2024-04-03 12:05:13	ga_s2am_ard_3-2-1_49JGL_2024-04-03_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

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