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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNH_2015-11-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPH_2015-12-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HNK_2016-01-03_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-04-25_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2016-06-24_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2016-06-27_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLK_2016-11-18_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHR_2016-12-04_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNJ_2016-12-15_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPK_2016-12-22_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-02_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HPH_2017-04-14_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-07-09_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGN_2017-07-12_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49JHM_2017-07-29_final.stac-item
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50HNK_2017-11-03_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JFM_2018-01-08_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMH_2018-03-13_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-04-08_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-04-15_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGN_2018-05-08_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-05-12_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-05-28_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-07-15_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-08-13_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2018-08-26_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final.stac-item
2018-12-04 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-04_final.stac-item
2018-12-08 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-08_final.stac-item
2019-01-03 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-01-03_final.stac-item
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final.stac-item
2019-01-20 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-20_final.stac-item
2019-02-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2019-02-02_final.stac-item
2019-02-12 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-12_final.stac-item
2019-05-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-03_final.stac-item
2019-05-07 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-05-07_final.stac-item
2019-07-03 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-03_final.stac-item
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final.stac-item
2019-12-03 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2019-12-03_final.stac-item
2019-12-13 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-12-13_final.stac-item
2020-01-25 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-01-25_final.stac-item
2020-02-04 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2020-02-04_final.stac-item
2020-03-26 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-03-26_final.stac-item
2020-04-27 12:15:02	ga_s2am_ard_3-2-1_49JFM_2020-04-27_final.stac-item
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final.stac-item
2020-06-17 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-06-17_final.stac-item
2020-08-02 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-02_final.stac-item
2020-09-21 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-09-21_final.stac-item
2020-10-12 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2020-10-12_final.stac-item
2020-11-24 11:47:04	ga_s2am_ard_3-2-1_50HPH_2020-11-24_final.stac-item
2020-12-17 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-17_final.stac-item
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final.stac-item
2021-03-13 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-03-13_final.stac-item
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final.stac-item
2021-06-11 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-11_final.stac-item
2021-08-14 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-08-14_final.stac-item
2021-10-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-07_final.stac-item
2021-12-19 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-12-19_final.stac-item
2022-01-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-01-17_final.stac-item
2022-03-28 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-03-28_final.stac-item
2022-04-08 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-04-08_final.stac-item
2022-04-27 12:14:26	ga_s2am_ard_3-2-1_49KHP_2022-04-27_final.stac-item
2022-05-05 11:36:43	ga_s2am_ard_3-2-1_50HPK_2022-05-05_final.stac-item
2022-05-08 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-05-08_final.stac-item
2022-05-24 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-05-24_final.stac-item
2022-06-07 11:47:00	ga_s2am_ard_3-2-1_50HNJ_2022-06-07_final.stac-item
2022-06-23 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-06-23_final.stac-item
2022-08-13 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-13_final.stac-item
2022-08-15 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-08-15_final.stac-item
2022-09-24 12:15:07	ga_s2am_ard_3-2-1_49JFM_2022-09-24_final.stac-item
2022-10-01 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-10-01_final.stac-item
2022-11-13 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-11-13_final.stac-item
2022-11-14 11:46:43	ga_s2am_ard_3-2-1_50HMK_2022-11-14_final.stac-item
2022-12-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-12-03_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final
2023-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2023-02-08_final
2023-02-19 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-02-19_nrt.stac-item
2023-02-19 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-02-19_final
2023-03-03 12:13:55	ga_s2am_ard_3-2-1_49KGR_2023-03-03_final
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final
2023-04-19 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-04-19_final
2023-04-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-04-29_final
2023-04-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-29_final
2023-04-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-30_final
2023-05-29 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-05-29_final
2023-07-18 12:05:34	ga_s2am_ard_3-2-1_49JGK_2023-07-18_final
2023-07-22 11:46:38	ga_s2am_ard_3-2-1_50HPK_2023-07-22_final
2023-10-17 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-10-17_final
2023-10-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-10-26_final
2023-11-08 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-11-08_final
2023-11-12 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-11-12_final
2023-11-25 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-25_final
2024-01-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2024-01-27_final
2024-01-27 12:14:36	ga_s2am_ard_3-2-1_49JGN_2024-01-27_final
2024-04-10 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-04-10_final
2024-04-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2024-04-23_nrt

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