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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLK_2015-11-14_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-11_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMG_2016-11-28_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLG_2016-12-15_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-06-09_final.stac-item
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGM_2017-06-12_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50HNK_2017-06-26_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHP_2017-07-09_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHM_2017-09-27_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNK_2017-10-11_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-03-06_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHP_2018-05-05_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGN_2018-05-15_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNK_2018-05-19_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHQ_2018-06-24_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNK_2018-06-28_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-24_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-28_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMK_2018-08-27_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-09-12_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMJ_2018-09-19_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-02_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMK_2018-10-09_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-10-12_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-15_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMK_2018-11-05_final.stac-item
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final.stac-item
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final.stac-item
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final.stac-item
2018-12-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-12-25_final.stac-item
2019-01-20 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-01-20_final.stac-item
2019-01-27 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-01-27_final.stac-item
2019-04-07 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2019-04-07_final.stac-item
2019-04-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-04-23_final.stac-item
2019-08-21 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-08-21_final.stac-item
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final.stac-item
2019-10-21 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-21_final.stac-item
2019-10-21 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-21_final.stac-item
2019-11-10 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-11-10_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final.stac-item
2020-01-29 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2020-01-29_final.stac-item
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final.stac-item
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final.stac-item
2020-04-01 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-04-01_final.stac-item
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final.stac-item
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final.stac-item
2020-06-13 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-13_final.stac-item
2020-06-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-06-27_final.stac-item
2020-09-14 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-09-14_final.stac-item
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final.stac-item
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final.stac-item
2021-01-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-03_final.stac-item
2021-01-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-22_final.stac-item
2021-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-02-12_final.stac-item
2021-02-22 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-22_final.stac-item
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final.stac-item
2021-03-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-17_final.stac-item
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final.stac-item
2021-03-17 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-03-17_final
2021-04-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2021-04-03_final.stac-item
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final.stac-item
2021-04-29 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2021-04-29_final.stac-item
2021-04-29 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-04-29_final.stac-item
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final.stac-item
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final.stac-item
2021-05-20 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-05-20_final
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final.stac-item
2021-07-02 11:46:39	ga_s2am_ard_3-2-1_50HNK_2021-07-02_final.stac-item
2021-07-08 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-07-08_final.stac-item
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final.stac-item
2021-07-21 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-21_final.stac-item
2021-08-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-08-10_final.stac-item
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final.stac-item
2021-10-03 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final.stac-item
2021-11-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2021-11-02_final.stac-item
2021-11-12 11:56:38	ga_s2am_ard_3-2-1_50HMK_2021-11-12_final.stac-item
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final.stac-item
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final.stac-item
2022-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-11-07_final.stac-item
2022-11-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-11-17_final.stac-item
2022-12-07 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-12-07_final.stac-item
2023-01-03 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-01-03_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-01-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2023-01-22_final.stac-item
2023-01-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-01-26_final
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final
2023-08-21 11:47:23	ga_s2am_ard_3-2-1_50HPG_2023-08-21_final
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_final
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final
2023-12-19 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-12-19_final
2024-01-31 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-31_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