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_49JGN_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGN_2016-01-09_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KGR_2016-04-18_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-06-17_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2016-06-24_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-08-13_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-09-15_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-10-22_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGP_2016-11-14_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-01-03_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-01-03_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-22_final.stac-item
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-03-24_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGN_2017-04-23_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-05-13_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2017-05-20_final.stac-item
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-09_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final.stac-item
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHR_2017-09-17_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-11-09_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-02-17_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-17_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHQ_2018-05-15_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-05-18_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KHP_2018-07-14_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHP_2018-07-27_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-16_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-02_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-11-04_final.stac-item
2019-01-10 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-01-10_final.stac-item
2019-02-12 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-12_final.stac-item
2019-04-20 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-04-20_final.stac-item
2019-05-10 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-05-10_final.stac-item
2019-05-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-23_final.stac-item
2019-05-30 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-05-30_final.stac-item
2019-07-19 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-19_final.stac-item
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final.stac-item
2019-08-18 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-08-18_final.stac-item
2019-09-07 12:05:28	ga_s2am_ard_3-2-1_49JGK_2019-09-07_final.stac-item
2019-09-20 12:14:41	ga_s2am_ard_3-2-1_49JGN_2019-09-20_final.stac-item
2019-09-30 12:14:43	ga_s2am_ard_3-2-1_49JGN_2019-09-30_final.stac-item
2019-11-16 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-11-16_final.stac-item
2019-11-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-11-29_final.stac-item
2019-12-09 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-12-09_final.stac-item
2020-01-25 12:04:24	ga_s2am_ard_3-2-1_49KGP_2020-01-25_final.stac-item
2020-03-08 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-08_final.stac-item
2020-03-15 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-03-15_final.stac-item
2020-04-07 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-04-07_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final.stac-item
2020-04-17 12:15:00	ga_s2am_ard_3-2-1_49JFM_2020-04-17_final.stac-item
2020-04-24 12:04:47	ga_s2am_ard_3-2-1_49JGN_2020-04-24_final.stac-item
2020-04-27 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2020-04-27_final.stac-item
2020-06-26 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-06-26_final.stac-item
2020-07-03 12:04:11	ga_s2am_ard_3-2-1_49KHR_2020-07-03_final.stac-item
2020-08-02 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-02_final.stac-item
2020-08-05 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-05_final.stac-item
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final.stac-item
2020-09-21 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-09-21_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 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-10-14_final.stac-item
2020-11-13 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-11-13_final.stac-item
2020-11-23 12:14:43	ga_s2am_ard_3-2-1_49JGN_2020-11-23_final.stac-item
2020-12-10 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-12-10_final.stac-item
2021-01-19 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-19_final.stac-item
2021-02-08 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-02-08_final.stac-item
2021-05-19 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-05-19_final.stac-item
2021-05-19 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-05-19_final.stac-item
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final.stac-item
2021-06-18 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-06-18_final.stac-item
2021-07-01 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-07-01_final.stac-item
2021-08-20 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-20_final.stac-item
2021-09-13 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-13_final.stac-item
2021-09-26 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-09-26_final.stac-item
2021-09-29 12:14:27	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final.stac-item
2021-12-18 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-12-18_final.stac-item
2022-02-23 12:04:48	ga_s2am_ard_3-2-1_49JGN_2022-02-23_final.stac-item
2022-03-05 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-03-05_final.stac-item
2022-05-04 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-05-04_final.stac-item
2022-05-07 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-05-07_final.stac-item
2022-05-24 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-05-24_final.stac-item
2022-08-12 12:04:54	ga_s2am_ard_3-2-1_49JHN_2022-08-12_final.stac-item
2022-08-25 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-25_final
2022-11-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2022-11-30_final.stac-item
2023-02-21 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-02-21_nrt.stac-item
2023-02-21 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-02-21_final
2023-05-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2023-05-09_final
2023-06-11 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-06-11_final
2023-07-18 12:05:34	ga_s2am_ard_3-2-1_49JGK_2023-07-18_final
2023-07-21 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-07-21_final
2023-07-28 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-07-28_final
2023-08-10 12:13:59	ga_s2am_ard_3-2-1_49KHR_2023-08-10_final
2023-08-17 12:05:21	ga_s2am_ard_3-2-1_49JGL_2023-08-17_final
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-10-16_final
2023-11-18 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-11-18_final
2024-01-24 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-24_final
2024-01-27 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2024-01-27_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

All years