Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLG_2015-11-14_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHP_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHP_2016-01-09_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-08_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2016-09-05_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMJ_2016-09-29_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-10-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLG_2016-12-25_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JHM_2017-04-20_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHM_2017-04-30_final
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-07_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-05-30_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2017-07-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHP_2017-07-12_final
2017-07-19 12:03:48	ga_s2am_ard_3-2-1_49KHQ_2017-07-19_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-11-09_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGN_2017-11-16_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HLG_2017-11-20_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGK_2017-11-26_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-11-29_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-26_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLG_2018-05-19_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-07-07_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHP_2018-07-27_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-16_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-08-23_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2018-08-26_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHQ_2018-09-25_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-11-04_final
2018-11-15 11:47:22	ga_s2am_ard_3-2-1_50HLG_2018-11-15_final.stac-item
2018-12-04 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-04_final
2018-12-25 11:47:20	ga_s2am_ard_3-2-1_50HLG_2018-12-25_final.stac-item
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-03-24 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-03-24_final
2019-03-25 11:47:26	ga_s2am_ard_3-2-1_50HLG_2019-03-25_final.stac-item
2019-05-03 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-03_final
2019-05-14 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-05-14_final.stac-item
2019-06-02 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-06-02_final
2019-06-13 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-06-13_final.stac-item
2019-07-02 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-02_final
2019-07-13 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-13_final
2019-08-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-12 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-08-12_final.stac-item
2020-01-28 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-01-28_final.stac-item
2020-02-07 12:14:13	ga_s2am_ard_3-2-1_49KHP_2020-02-07_final
2020-02-08 11:47:13	ga_s2am_ard_3-2-1_50HNG_2020-02-08_final.stac-item
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-05-05 11:37:30	ga_s2am_ard_3-2-1_50HNG_2020-05-05_final.stac-item
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-09-14 12:13:44	ga_s2am_ard_3-2-1_49KHS_2020-09-14_final.stac-item
2020-09-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-09-25_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2021-08-24 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-08-24_final.stac-item
2021-10-29 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-10-29_final
2021-11-18 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-18_final
2021-11-28 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-28_final
2021-12-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-12-08_final
2021-12-18 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-12-18_final
2022-01-17 12:14:22	ga_s2am_ard_3-2-1_49KHP_2022-01-17_final
2022-02-04 11:37:26	ga_s2am_ard_3-2-1_50HNG_2022-02-04_final.stac-item
2022-03-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2022-03-05_final
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-03-18 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-18_final
2022-05-07 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-05-07_final
2022-06-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2022-06-23_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-07-27 11:47:37	ga_s2am_ard_3-2-1_50HLG_2022-07-27_final.stac-item
2022-08-25 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-25_final.stac-item
2022-11-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-11-03_final.stac-item
2022-11-13 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-11-13_final.stac-item
2022-11-23 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-11-23_final.stac-item
2022-12-03 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-12-03_final.stac-item
2022-12-13 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-12-13_final.stac-item
2022-12-27 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-12-27_final.stac-item
2023-02-21 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-02-21_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-04-09 12:04:33	ga_s2am_ard_3-2-1_49JHN_2023-04-09_final.stac-item
2023-04-12 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-04-12_final.stac-item
2023-05-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-05-02_final.stac-item
2023-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-05-12_final.stac-item
2023-05-20 11:37:29	ga_s2am_ard_3-2-1_50HNG_2023-05-20_final.stac-item
2023-05-26 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-05-26_final.stac-item
2023-06-02 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-06-02_final.stac-item
2023-06-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-11_final.stac-item
2023-07-01 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-01_final.stac-item
2023-07-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-21_final.stac-item
2023-08-31 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-31_final.stac-item
2023-09-06 12:05:14	ga_s2am_ard_3-2-1_49JFM_2023-09-06_final.stac-item
2023-10-09 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-09_final.stac-item
2023-10-23 11:56:26	ga_s2am_ard_3-2-1_50HMK_2023-10-23_final.stac-item
2023-10-29 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-29_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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