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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HLG_2015-11-21_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKR_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLG_2015-12-21_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHP_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-08_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLQ_2016-04-15_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2016-05-05_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2016-09-05_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-10-25_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2016-12-01_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-12-14_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JFM_2016-12-21_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLG_2017-01-24_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JKT_2017-03-21_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JKT_2017-04-10_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLQ_2017-04-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-05-30_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHP_2017-08-01_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JKR_2017-12-16_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-26_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHP_2018-01-08_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKR_2018-03-16_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-04-08_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-04-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-04-28_final.stac-item
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
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-16_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-16_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-09-25_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HQH_2018-10-16_final
2018-11-15 11:46:48	ga_s2am_ard_3-2-1_50HQH_2018-11-15_final
2018-12-14 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-14_final
2019-01-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-01-13_final
2019-02-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-02-22_final
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-05-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-13_final
2019-06-29 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-06-29_final
2019-07-03 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-07-03_final.stac-item
2019-07-13 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-07-13_final.stac-item
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-10-07 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-10-07_final.stac-item
2019-10-20 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-20_final
2019-10-21 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-10-21_final
2019-11-06 12:05:11	ga_s2am_ard_3-2-1_49JFM_2019-11-06_final
2019-11-16 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-11-16_final
2019-11-30 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-11-30_final.stac-item
2020-02-07 12:14:13	ga_s2am_ard_3-2-1_49KHP_2020-02-07_final
2020-03-22 11:57:17	ga_s2am_ard_3-2-1_50HMG_2020-03-22_final.stac-item
2020-07-26 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-07-26_final
2020-09-14 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-09-14_final
2020-09-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-09-25_final.stac-item
2020-10-01 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-10-01_final
2020-10-04 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-10-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-10-24_final
2020-11-03 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-11-03_final
2020-11-13 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-11-13_final
2020-11-23 12:14:23	ga_s2am_ard_3-2-1_49KHP_2020-11-23_final
2020-12-03 12:14:20	ga_s2am_ard_3-2-1_49KHP_2020-12-03_final
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-02-15 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-02-15_final.stac-item
2021-02-19 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-02-19_final.stac-item
2021-06-02 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-06-02_final.stac-item
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2022-01-04 12:05:10	ga_s2am_ard_3-2-1_50JLR_2022-01-04_final
2022-01-14 12:05:09	ga_s2am_ard_3-2-1_50JLR_2022-01-14_final
2022-02-03 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-02-03_final
2022-02-23 12:05:10	ga_s2am_ard_3-2-1_50JLR_2022-02-23_final
2022-03-22 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2022-03-22_final
2022-05-07 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-05-07_final
2022-06-13 12:05:18	ga_s2am_ard_3-2-1_50JLR_2022-06-13_final
2022-10-04 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-10-04_final.stac-item
2022-11-13 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-11-13_final.stac-item
2022-12-13 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-12-13_final.stac-item
2023-01-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-01-23_final.stac-item
2023-02-18 12:05:14	ga_s2am_ard_3-2-1_50JKR_2023-02-18_final.stac-item
2023-02-21 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-02-21_final.stac-item
2023-03-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2023-03-13_final.stac-item
2023-04-19 12:05:07	ga_s2am_ard_3-2-1_50JLR_2023-04-19_final.stac-item
2023-05-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-05-02_final.stac-item
2023-05-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2023-05-16_final.stac-item
2023-06-11 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-11_final.stac-item
2023-06-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-21_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
2023-07-31 12:14:26	ga_s2am_ard_3-2-1_49KHP_2023-07-31_final.stac-item
2023-08-10 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-08-10_final.stac-item
2023-08-30 12:14:26	ga_s2am_ard_3-2-1_49KHP_2023-08-30_final.stac-item
2023-09-19 12:14:24	ga_s2am_ard_3-2-1_49KHP_2023-09-19_final.stac-item
2023-09-29 12:14:23	ga_s2am_ard_3-2-1_49KHP_2023-09-29_final.stac-item
2023-10-09 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-09_final.stac-item
2023-10-20 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-10-20_final.stac-item
2023-11-16 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-11-16_final.stac-item
2024-01-08 11:46:49	ga_s2am_ard_3-2-1_50HQH_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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