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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGL_2016-01-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHS_2016-05-15_final
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-07-07_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-09-26_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPK_2016-11-12_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KGR_2017-04-23_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-06-19_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HNK_2017-07-16_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLH_2017-12-10_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLH_2018-01-19_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLH_2018-02-08_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-03-06_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-03-09_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HPK_2018-03-17_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLH_2018-03-30_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMK_2018-03-30_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHQ_2018-06-04_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMH_2018-06-18_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-04_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNK_2018-08-27_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-10-12_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-10-16_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-11-04_final.stac-item
2018-11-25 11:46:30	ga_s2am_ard_3-2-1_50HNK_2018-11-25_final.stac-item
2018-11-28 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-11-28_final.stac-item
2018-12-05 11:46:54	ga_s2am_ard_3-2-1_50HPH_2018-12-05_final.stac-item
2018-12-05 11:46:58	ga_s2am_ard_3-2-1_50HNH_2018-12-05_final.stac-item
2018-12-08 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-08_final.stac-item
2019-04-14 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-04-14_final.stac-item
2019-04-24 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-04-24_final.stac-item
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final.stac-item
2019-08-18 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-08-18_final.stac-item
2019-09-11 11:46:36	ga_s2am_ard_3-2-1_50HNK_2019-09-11_final.stac-item
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final.stac-item
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final.stac-item
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final.stac-item
2020-04-01 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-04-01_final.stac-item
2020-04-28 11:46:36	ga_s2am_ard_3-2-1_50HPK_2020-04-28_final.stac-item
2020-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-18_final.stac-item
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final.stac-item
2020-06-03 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-03_final.stac-item
2020-06-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-06-26_final.stac-item
2020-07-14 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-07-14_final.stac-item
2020-09-05 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-05_final.stac-item
2020-10-21 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-21_final.stac-item
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final.stac-item
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final.stac-item
2020-12-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-17_final.stac-item
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final.stac-item
2021-01-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-06_final.stac-item
2021-01-06 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-06_final.stac-item
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final.stac-item
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final.stac-item
2021-02-02 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-02_final
2021-02-28 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-02-28_final.stac-item
2021-03-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-03-27_final.stac-item
2021-03-27 11:57:04	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final.stac-item
2021-04-26 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2021-04-26_final.stac-item
2021-04-29 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-04-29_final.stac-item
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final.stac-item
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final.stac-item
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-07-11_final.stac-item
2021-07-11 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-07-11_final.stac-item
2021-07-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2021-07-22_final.stac-item
2021-08-11 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-08-11_final.stac-item
2021-08-11 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-11_final.stac-item
2021-08-17 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-08-17_final.stac-item
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final.stac-item
2021-08-21 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-08-21_final
2021-08-27 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-27_final.stac-item
2021-09-03 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-03_final.stac-item
2021-09-07 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-09-07_final
2021-10-23 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-23_final
2022-04-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2022-04-28_final.stac-item
2022-07-07 11:46:47	ga_s2am_ard_3-2-1_50HPK_2022-07-07_final.stac-item
2022-09-01 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-09-01_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final
2023-05-29 12:05:18	ga_s2am_ard_3-2-1_49JGL_2023-05-29_final
2023-07-08 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-08_final
2023-07-28 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-28_final
2023-09-06 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-09-06_final
2023-11-15 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-11-15_final
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_final
2024-02-16 12:14:25	ga_s2am_ard_3-2-1_49KGP_2024-02-16_final
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_final
2024-04-14 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-04-14_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