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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHS_2015-12-17_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-08-13_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-09-15_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGK_2016-11-21_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGP_2016-11-24_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHP_2016-12-04_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2017-02-19_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-22_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-05-13_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2017-10-17_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-11-09_final.stac-item
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLJ_2017-11-13_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGP_2017-11-29_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JHM_2017-12-26_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGP_2018-01-08_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHQ_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
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLJ_2018-07-11_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGQ_2018-07-27_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-08-13_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-16_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-10-12_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-10-22_final.stac-item
2018-11-14 12:14:15	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final.stac-item
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final.stac-item
2018-12-14 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-14_final.stac-item
2018-12-21 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-21_final.stac-item
2019-01-10 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-01-10_final.stac-item
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-03-14_final.stac-item
2019-06-19 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-06-19_final.stac-item
2019-08-15 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-08-15_final.stac-item
2019-08-21 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-08-21_final.stac-item
2019-08-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2019-08-28_final.stac-item
2019-10-20 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-20_final.stac-item
2019-11-06 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-11-06_final.stac-item
2019-11-09 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-11-09_final.stac-item
2019-11-16 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-11-16_final.stac-item
2019-11-19 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-11-19_final.stac-item
2019-11-23 11:56:41	ga_s2am_ard_3-2-1_50HLK_2019-11-23_final.stac-item
2019-12-16 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-16_final.stac-item
2020-01-08 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-01-08_final.stac-item
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final.stac-item
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final.stac-item
2020-02-14 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2020-02-14_final.stac-item
2020-02-27 12:14:26	ga_s2am_ard_3-2-1_49JHN_2020-02-27_final.stac-item
2020-03-05 12:04:56	ga_s2am_ard_3-2-1_49JGM_2020-03-05_final.stac-item
2020-03-08 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-08_final.stac-item
2020-05-04 12:04:49	ga_s2am_ard_3-2-1_49JGN_2020-05-04_final.stac-item
2020-05-14 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-05-14_final.stac-item
2020-06-03 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-03_final.stac-item
2020-06-03 12:04:49	ga_s2am_ard_3-2-1_49JHN_2020-06-03_final.stac-item
2020-07-03 12:05:01	ga_s2am_ard_3-2-1_49JHM_2020-07-03_final.stac-item
2020-07-06 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-07-06_final.stac-item
2020-08-02 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-02_final.stac-item
2020-08-22 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-08-22_final.stac-item
2020-10-21 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-21_final.stac-item
2020-11-03 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-11-03_final.stac-item
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-11-30_final.stac-item
2021-01-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-01-02_final.stac-item
2021-01-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-22_final.stac-item
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-01_final.stac-item
2021-02-21 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-21_final.stac-item
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final.stac-item
2021-03-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-13_final.stac-item
2021-04-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2021-04-02_final.stac-item
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-06-28_final.stac-item
2021-08-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-08-10_final.stac-item
2021-08-24 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-08-24_final
2021-10-09 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-09_final.stac-item
2021-10-16 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-16_final.stac-item
2021-11-08 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-11-08_final.stac-item
2021-11-18 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-11-18_final.stac-item
2021-11-28 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-28_final.stac-item
2021-12-25 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-12-25_final.stac-item
2022-01-04 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-01-04_final.stac-item
2022-01-07 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2022-01-07_final.stac-item
2022-02-26 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2022-02-26_final.stac-item
2022-02-26 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-02-26_final.stac-item
2022-02-26 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-02-26_final.stac-item
2022-05-14 12:04:37	ga_s2am_ard_3-2-1_49KHP_2022-05-14_final.stac-item
2022-08-05 12:14:38	ga_s2am_ard_3-2-1_49KGP_2022-08-05_final.stac-item
2022-08-05 12:15:11	ga_s2am_ard_3-2-1_49JFM_2022-08-05_final.stac-item
2022-08-22 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-08-22_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-11-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-11-03_final.stac-item
2023-01-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-01-19_final.stac-item
2023-02-28 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final
2023-03-13 12:14:23	ga_s2am_ard_3-2-1_49KGP_2023-03-13_final
2023-04-23 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-04-23_final
2023-08-31 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-31_final
2023-11-02 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-11-02_final
2023-12-08 12:15:05	ga_s2am_ard_3-2-1_49JGL_2023-12-08_final
2024-01-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2024-01-17_final
2024-04-13 12:04:47	ga_s2am_ard_3-2-1_49JGN_2024-04-13_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