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
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JFM_2016-01-19_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMG_2016-06-11_final
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMG_2016-07-01_final
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HMG_2016-07-21_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMJ_2016-12-15_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final.stac-item
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HNK_2017-01-27_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-01-30_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGL_2017-03-21_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-03-31_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLJ_2017-04-07_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-04-10_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGL_2017-05-20_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-06-02_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2017-06-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-07-09_final.stac-item
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLJ_2017-11-13_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMJ_2017-11-20_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGN_2018-01-05_final.stac-item
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_49KHR_2018-01-15_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-03-06_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNH_2018-03-10_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGL_2018-03-16_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-18_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMH_2018-05-29_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNH_2018-05-29_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMJ_2018-06-18_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGN_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
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGM_2018-09-25_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-02_final.stac-item
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final.stac-item
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final.stac-item
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final.stac-item
2019-01-27 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-01-27_final.stac-item
2019-03-28 11:57:09	ga_s2am_ard_3-2-1_50HLH_2019-03-28_final.stac-item
2019-04-07 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2019-04-07_final.stac-item
2019-06-26 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2019-06-26_final.stac-item
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final.stac-item
2019-11-30 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2019-11-30_final.stac-item
2019-12-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-12-23_final.stac-item
2019-12-30 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-12-30_final.stac-item
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final.stac-item
2020-03-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-22_final.stac-item
2020-04-01 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-04-01_final.stac-item
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final.stac-item
2020-09-24 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-09-24_final.stac-item
2020-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-08_final.stac-item
2020-10-18 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-18_final.stac-item
2020-10-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-25_final.stac-item
2020-11-07 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-11-07_final.stac-item
2020-11-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2020-11-20_final.stac-item
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final.stac-item
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final.stac-item
2021-01-13 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-13_final.stac-item
2021-01-13 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-13_final.stac-item
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final.stac-item
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final.stac-item
2021-03-14 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-03-14_final.stac-item
2021-03-24 11:46:39	ga_s2am_ard_3-2-1_50HMK_2021-03-24_final.stac-item
2021-04-13 11:47:01	ga_s2am_ard_3-2-1_50HNH_2021-04-13_final.stac-item
2021-04-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2021-04-23_final.stac-item
2021-04-26 11:57:01	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
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final.stac-item
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final.stac-item
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final.stac-item
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final.stac-item
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final.stac-item
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final.stac-item
2021-11-18 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-18_final.stac-item
2021-12-22 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-12-22_final.stac-item
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2022-11-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-11-27_final.stac-item
2022-12-14 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-12-14_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2022-12-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2022-12-27_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_nrt.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-10-16_final
2023-10-16 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-10-16_final
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final
2024-01-11 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-11_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

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