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 11:38:10	ga_s2am_ard_3-2-1_50HPH_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HPJ_2015-10-22_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGN_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KGQ_2016-04-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-09_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-06-14_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-09-26_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HQJ_2016-09-26_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-22_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGM_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-11_final
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPG_2016-11-22_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HNK_2017-01-07_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPJ_2017-03-25_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGM_2017-06-09_final.stac-item
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JKN_2017-10-04_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLH_2017-10-24_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-11-09_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMH_2017-12-30_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HNK_2018-02-11_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-02-14_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-02-24_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_49JGL_2018-03-09_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKN_2018-03-13_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMJ_2018-03-23_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPH_2018-04-29_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLH_2018-05-02_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGM_2018-06-24_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGN_2018-07-14_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-05_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMH_2018-10-29_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-11-01_final.stac-item
2019-01-04 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-01-04_final.stac-item
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final.stac-item
2019-04-17 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-04-17_final.stac-item
2019-05-07 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-05-07_final.stac-item
2019-06-13 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-06-13_final.stac-item
2019-06-13 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-06-13_final.stac-item
2019-11-06 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-11-06_final.stac-item
2019-11-29 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-11-29_final.stac-item
2019-12-30 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-12-30_final.stac-item
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final.stac-item
2020-01-16 11:36:29	ga_s2am_ard_3-2-1_50HQK_2020-01-16_final.stac-item
2020-01-25 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-01-25_final.stac-item
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final.stac-item
2020-04-18 11:46:30	ga_s2am_ard_3-2-1_50HQK_2020-04-18_final.stac-item
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final.stac-item
2020-07-13 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-07-13_final.stac-item
2020-08-19 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-08-19_final.stac-item
2020-08-19 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-08-19_final.stac-item
2020-10-04 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-10-04_final.stac-item
2020-11-20 12:05:58	ga_s2am_ard_3-2-1_50JKN_2020-11-20_final.stac-item
2020-12-27 11:55:59	ga_s2am_ard_3-2-1_50JKN_2020-12-27_final.stac-item
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final.stac-item
2021-01-03 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-01-03_final.stac-item
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final.stac-item
2021-03-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-03-20_final.stac-item
2021-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-03-24_final.stac-item
2021-03-27 11:55:44	ga_s2am_ard_3-2-1_50JKP_2021-03-27_final.stac-item
2021-04-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-04-03_final.stac-item
2021-04-19 12:04:51	ga_s2am_ard_3-2-1_49JHM_2021-04-19_final.stac-item
2021-04-22 12:14:22	ga_s2am_ard_3-2-1_49KGP_2021-04-22_final.stac-item
2021-05-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-05-22_final.stac-item
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final.stac-item
2021-06-29 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-06-29_final.stac-item
2021-07-01 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-07-01_final.stac-item
2021-08-17 12:05:13	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final.stac-item
2021-12-25 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-12-25_final.stac-item
2022-01-31 11:55:59	ga_s2am_ard_3-2-1_50JKN_2022-01-31_final.stac-item
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final.stac-item
2022-06-13 12:04:24	ga_s2am_ard_3-2-1_49KHQ_2022-06-13_final.stac-item
2022-06-17 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-06-17_final.stac-item
2022-07-03 12:05:54	ga_s2am_ard_3-2-1_50JKP_2022-07-03_final.stac-item
2022-07-14 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-07-14_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-09-21 12:05:19	ga_s2am_ard_3-2-1_50JKR_2022-09-21_final.stac-item
2022-09-25 11:46:44	ga_s2am_ard_3-2-1_50HNK_2022-09-25_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2022-12-07 11:56:00	ga_s2am_ard_3-2-1_50JKN_2022-12-07_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2022-12-30 12:05:40	ga_s2am_ard_3-2-1_50JKP_2022-12-30_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final
2023-01-29 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-01-29_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_nrt.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-02_final
2023-04-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-04-03_final
2023-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-05-13_final
2023-08-08 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-08-08_final
2023-10-06 12:06:11	ga_s2am_ard_3-2-1_50JKM_2023-10-06_final
2023-10-16 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-10-16_final
2024-03-04 12:03:45	ga_s2am_ard_3-2-1_49KHS_2024-03-04_final
2024-03-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-07_final
2024-05-20 11:55:47	ga_s2am_ard_3-2-1_50JKP_2024-05-20_final
2024-05-24 11:37:20	ga_s2am_ard_3-2-1_50HPG_2024-05-24_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