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_49JHN_2015-10-08_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGQ_2016-03-09_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGP_2016-07-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-08-13_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGK_2016-08-23_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KGR_2016-09-05_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHP_2016-09-12_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGP_2016-11-04_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-03-31_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGL_2017-04-03_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-05-10_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-06-19_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-06-19_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-06-19_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGP_2017-09-10_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGR_2017-09-10_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2017-10-17_final.stac-item
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JHM_2017-11-16_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHM_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHP_2017-12-16_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JHM_2018-01-15_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-14_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGR_2018-03-29_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2018-04-15_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-05-28_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-06-27_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-08-26_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2018-08-26_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2018-09-02_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-09-25_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JFM_2018-09-25_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KGP_2018-09-25_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-11-01_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-11-01_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final.stac-item
2018-11-14 12:13:53	ga_s2am_ard_3-2-1_49KGR_2018-11-14_final.stac-item
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final.stac-item
2018-11-24 12:14:34	ga_s2am_ard_3-2-1_49JGN_2018-11-24_final.stac-item
2018-12-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-12-24_final.stac-item
2019-03-04 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-03-04_final.stac-item
2019-03-11 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-11_final.stac-item
2019-03-24 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-03-24_final.stac-item
2019-04-30 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-04-30_final.stac-item
2019-05-10 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-05-10_final.stac-item
2019-05-30 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-05-30_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
2019-07-22 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
2019-08-21 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-08-21_final.stac-item
2019-09-10 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-09-10_final.stac-item
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final.stac-item
2019-10-07 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-10-07_final.stac-item
2019-10-10 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-10-10_final.stac-item
2019-11-16 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-11-16_final.stac-item
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final.stac-item
2019-12-29 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-12-29_final.stac-item
2020-02-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-02-14_final.stac-item
2020-03-05 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final.stac-item
2020-03-05 12:04:52	ga_s2am_ard_3-2-1_49JHM_2020-03-05_final.stac-item
2020-03-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-03-15_final.stac-item
2020-03-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-15_final.stac-item
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final.stac-item
2020-05-04 12:04:49	ga_s2am_ard_3-2-1_49JGN_2020-05-04_final.stac-item
2020-06-16 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-06-16_final.stac-item
2020-06-23 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-06-23_final.stac-item
2020-07-03 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-03_final.stac-item
2020-07-03 12:05:01	ga_s2am_ard_3-2-1_49JHM_2020-07-03_final.stac-item
2020-07-13 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-13_final.stac-item
2020-07-23 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-07-23_final.stac-item
2020-08-12 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-12_final.stac-item
2020-09-24 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-09-24_final.stac-item
2020-10-11 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-10-11_final.stac-item
2020-10-21 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-10-21_final.stac-item
2020-10-31 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-31_final.stac-item
2020-11-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-11-30_final.stac-item
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final.stac-item
2021-01-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-01-02_final.stac-item
2021-02-01 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-01_final.stac-item
2021-02-28 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-28_final.stac-item
2021-02-28 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-02-28_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 12:04:37	ga_s2am_ard_3-2-1_49JHN_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
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final.stac-item
2021-07-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final.stac-item
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final.stac-item
2022-01-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-01-07_final.stac-item
2022-06-23 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-06-23_final.stac-item
2022-07-26 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-07-26_final.stac-item
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-09-01_final.stac-item
2022-09-11 12:04:53	ga_s2am_ard_3-2-1_49JHN_2022-09-11_final.stac-item
2022-09-11 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-09-11_final.stac-item
2023-04-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-29_final
2023-08-20 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-08-20_final
2023-12-08 12:15:05	ga_s2am_ard_3-2-1_49JGL_2023-12-08_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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