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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHM_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKS_2015-10-28_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGQ_2016-05-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNG_2016-05-29_final
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-06-27_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLQ_2016-07-01_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHQ_2016-07-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-08-13_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2016-08-23_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HQK_2016-08-24_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHM_2016-11-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JHM_2016-12-01_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JLS_2016-12-21_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKS_2016-12-21_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-01-20_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMK_2017-02-16_final.stac-item
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HMK_2017-03-08_final.stac-item
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-07_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKS_2017-05-10_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKS_2017-05-30_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKT_2017-06-09_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMJ_2017-09-14_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLS_2017-10-17_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHQ_2018-01-08_final.stac-item
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HMK_2018-01-22_final.stac-item
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JLR_2018-02-01_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JFM_2018-02-14_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-02-14_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-27_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HQK_2018-02-28_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKS_2018-03-16_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-03-19_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMK_2018-04-02_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JLQ_2018-04-15_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMH_2018-05-29_final.stac-item
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-06-14_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-08-03_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HQK_2018-08-27_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKS_2018-09-02_final.stac-item
2018-12-01 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-01_final.stac-item
2018-12-31 12:05:05	ga_s2am_ard_3-2-1_50JKR_2018-12-31_final.stac-item
2019-03-21 12:04:51	ga_s2am_ard_3-2-1_50JLS_2019-03-21_final.stac-item
2019-05-10 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-05-10_final.stac-item
2019-05-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-05-20_final.stac-item
2019-06-29 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2019-06-29_final.stac-item
2019-07-26 11:55:18	ga_s2am_ard_3-2-1_50JLR_2019-07-26_final.stac-item
2019-07-29 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-07-29_final.stac-item
2019-08-08 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-08-08_final.stac-item
2019-08-25 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-08-25_final.stac-item
2019-10-20 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-20_final.stac-item
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final.stac-item
2019-10-24 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-10-24_final.stac-item
2019-11-16 12:04:59	ga_s2am_ard_3-2-1_50JKS_2019-11-16_final.stac-item
2020-02-04 12:04:48	ga_s2am_ard_3-2-1_49JHM_2020-02-04_final.stac-item
2020-04-01 11:56:32	ga_s2am_ard_3-2-1_50HMK_2020-04-01_final.stac-item
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final.stac-item
2020-07-03 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-07-03_final.stac-item
2020-10-31 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-31_final.stac-item
2020-11-27 11:54:59	ga_s2am_ard_3-2-1_50JLS_2020-11-27_final.stac-item
2020-12-04 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-04_final.stac-item
2021-01-09 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-01-09_final.stac-item
2021-02-01 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-02-01_final.stac-item
2021-02-22 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-02-22_final.stac-item
2021-03-20 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-03-20_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 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-05-19_final.stac-item
2021-06-05 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-06-05_final.stac-item
2021-09-06 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-09-06_final.stac-item
2021-09-26 12:04:57	ga_s2am_ard_3-2-1_50JLS_2021-09-26_final.stac-item
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final.stac-item
2021-11-15 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-11-15_final.stac-item
2021-12-06 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-12-06_final.stac-item
2022-02-06 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-02-06_final.stac-item
2022-03-05 12:05:08	ga_s2am_ard_3-2-1_50JKS_2022-03-05_final.stac-item
2022-03-25 12:04:56	ga_s2am_ard_3-2-1_50JLS_2022-03-25_final.stac-item
2022-04-14 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final.stac-item
2022-06-30 11:57:19	ga_s2am_ard_3-2-1_50HMH_2022-06-30_final.stac-item
2022-08-22 12:05:10	ga_s2am_ard_3-2-1_50JKS_2022-08-22_final.stac-item
2023-01-19 12:04:52	ga_s2am_ard_3-2-1_50JKS_2023-01-19_final.stac-item
2023-03-01 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-03-01_final
2023-04-09 12:04:57	ga_s2am_ard_3-2-1_50JKS_2023-04-09_final
2023-04-16 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-04-16_final
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-06-28_final
2023-06-28 12:05:01	ga_s2am_ard_3-2-1_50JKS_2023-06-28_final
2023-07-08 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-07-08_final
2023-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-19_final
2023-10-06 12:04:58	ga_s2am_ard_3-2-1_50JKS_2023-10-06_final
2023-10-16 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-10-16_final
2023-12-28 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-12-28_final
2024-02-27 11:46:52	ga_s2am_ard_3-2-1_50HQH_2024-02-27_final
2024-03-01 11:56:42	ga_s2am_ard_3-2-1_50HMK_2024-03-01_final
2024-03-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-17_final
2024-03-24 12:04:58	ga_s2am_ard_3-2-1_49JHM_2024-03-24_final
2024-04-13 12:05:13	ga_s2am_ard_3-2-1_50JKR_2024-04-13_final
2024-04-17 11:47:17	ga_s2am_ard_3-2-1_50HLH_2024-04-17_final
2024-05-06 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-05-06_final
2024-05-06 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-05-06_final
2024-05-17 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-05-17_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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