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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGP_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMH_2016-05-29_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2016-06-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGM_2016-08-23_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-09-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-09-15_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHP_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-11_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGM_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JHN_2017-04-20_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HMJ_2017-06-13_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHP_2017-09-27_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMH_2017-12-23_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGN_2018-01-05_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGM_2018-01-08_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGM_2018-01-25_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2018-02-11_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMK_2018-02-18_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGJ_2018-05-05_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KGP_2018-05-05_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-18_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNH_2018-05-19_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNJ_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMH_2018-05-22_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-07-14_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-07-14_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-24_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-08-03_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-08-03_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLJ_2018-08-30_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGN_2018-09-02_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHQ_2018-09-05_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-02_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-15_final.stac-item
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final.stac-item
2018-11-14 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2018-11-14_final.stac-item
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final.stac-item
2019-08-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-08-28_final.stac-item
2019-08-31 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-08-31_final.stac-item
2019-09-14 11:56:39	ga_s2am_ard_3-2-1_50HLK_2019-09-14_final.stac-item
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final.stac-item
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final.stac-item
2019-11-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-11-30_final.stac-item
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final.stac-item
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final.stac-item
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final.stac-item
2020-01-12 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-12_final.stac-item
2020-02-08 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-02-08_final.stac-item
2020-02-11 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-11_final.stac-item
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final.stac-item
2020-03-28 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-28_final.stac-item
2020-03-28 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-28_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 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-06-26_final.stac-item
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final.stac-item
2020-10-25 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-10-25_final.stac-item
2020-11-24 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2020-11-24_final.stac-item
2020-12-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final.stac-item
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final.stac-item
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final.stac-item
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final.stac-item
2021-01-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-01-09_final.stac-item
2021-01-13 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-13_final.stac-item
2021-02-15 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-15_final.stac-item
2021-03-04 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-04_final
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-03-10_final.stac-item
2021-03-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-13_final.stac-item
2021-03-14 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-03-14_final.stac-item
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final.stac-item
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final.stac-item
2021-04-19 12:05:05	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final.stac-item
2021-04-26 11:57:01	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final.stac-item
2021-04-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final.stac-item
2021-04-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2021-04-30_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final.stac-item
2021-05-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final.stac-item
2021-07-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-07-01_final.stac-item
2021-07-05 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-07-05_final.stac-item
2021-07-11 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-11_final.stac-item
2021-07-25 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-25_final.stac-item
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final.stac-item
2021-09-07 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-09-07_final
2022-07-16 12:15:08	ga_s2am_ard_3-2-1_49JGM_2022-07-16_final.stac-item
2022-08-09 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-08-09_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-02-18_final
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final
2023-05-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2023-05-02_final
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_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

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