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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGM_2015-11-30_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2016-06-24_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGK_2016-07-14_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGL_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JHM_2016-08-23_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-09-22_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-09-22_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHP_2016-11-04_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGN_2016-12-04_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JHM_2017-03-21_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGP_2017-04-20_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-04-23_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGM_2017-04-30_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGN_2017-05-10_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-05-30_final.stac-item
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-09_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGM_2017-09-30_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2017-10-17_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2017-11-29_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGM_2017-12-16_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-01-15_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-02-14_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-03-29_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-03-29_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHQ_2018-05-15_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGN_2018-05-28_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KGP_2018-09-02_final.stac-item
2018-11-14 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2018-11-14_final.stac-item
2018-11-14 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final.stac-item
2018-11-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-11-24_final.stac-item
2018-12-01 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-01_final.stac-item
2018-12-11 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-11_final.stac-item
2018-12-24 12:14:34	ga_s2am_ard_3-2-1_49JGN_2018-12-24_final.stac-item
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final.stac-item
2019-05-23 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-05-23_final.stac-item
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final.stac-item
2019-07-02 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-02_final.stac-item
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-07-09 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-09_final.stac-item
2019-07-12 12:14:00	ga_s2am_ard_3-2-1_49KHR_2019-07-12_final.stac-item
2019-07-12 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2019-07-12_final.stac-item
2019-07-22 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-22_final.stac-item
2019-07-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-07-29_final.stac-item
2019-08-08 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-08-08_final.stac-item
2019-08-08 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-08-08_final.stac-item
2019-08-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-08-18_final.stac-item
2019-08-18 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-08-18_final.stac-item
2019-09-07 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-07_final.stac-item
2019-09-07 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-09-07_final.stac-item
2019-09-07 12:05:14	ga_s2am_ard_3-2-1_49JGL_2019-09-07_final.stac-item
2019-10-17 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-10-17_final.stac-item
2019-10-17 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-10-17_final.stac-item
2019-11-16 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-11-16_final.stac-item
2019-12-06 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-12-06_final.stac-item
2019-12-26 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-12-26_final.stac-item
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_49JHN_2019-12-26_final.stac-item
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final.stac-item
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final.stac-item
2020-03-05 12:04:38	ga_s2am_ard_3-2-1_49JHN_2020-03-05_final.stac-item
2020-04-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-04-04_final.stac-item
2020-04-14 12:05:14	ga_s2am_ard_3-2-1_49JGL_2020-04-14_final.stac-item
2020-04-24 12:04:47	ga_s2am_ard_3-2-1_49JGN_2020-04-24_final.stac-item
2020-06-03 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-03_final.stac-item
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final.stac-item
2020-06-13 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-13_final.stac-item
2020-06-16 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-16_final.stac-item
2020-07-13 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-07-13_final.stac-item
2020-07-26 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-07-26_final.stac-item
2020-08-12 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-08-12_final.stac-item
2020-08-25 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-08-25_final.stac-item
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-11_final.stac-item
2020-10-14 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-14_final.stac-item
2020-10-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-21_final.stac-item
2020-10-21 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-21_final.stac-item
2020-10-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-10-24_final.stac-item
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final.stac-item
2020-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-11-30_final.stac-item
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final.stac-item
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_49KHP_2020-12-20_final.stac-item
2020-12-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-23_final.stac-item
2021-01-19 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-19_final.stac-item
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final.stac-item
2021-03-23 12:14:40	ga_s2am_ard_3-2-1_49JGN_2021-03-23_final.stac-item
2021-04-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final.stac-item
2021-04-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2021-04-22_final.stac-item
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final.stac-item
2021-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-05-12_final.stac-item
2021-06-18 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-06-18_final.stac-item
2021-06-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-06-28_final.stac-item
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final.stac-item
2021-09-06 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-09-06_final.stac-item
2022-04-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-04-07_final.stac-item
2022-07-26 12:15:20	ga_s2am_ard_3-2-1_49JGL_2022-07-26_final.stac-item
2023-03-25 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-03-25_final
2023-09-09 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-09-09_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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