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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHQ_2015-10-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HLG_2015-11-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHN_2015-11-27_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JKT_2015-12-07_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLG_2015-12-21_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_50JKT_2015-12-27_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNG_2016-04-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-06-14_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-06-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKR_2016-07-14_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHQ_2016-07-27_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-08-13_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKQ_2016-09-02_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-10-05_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHP_2016-11-04_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHP_2016-11-14_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHP_2016-12-04_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HQH_2016-12-15_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHP_2016-12-24_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-01-03_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLG_2017-01-24_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JKQ_2017-03-01_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JKT_2017-03-21_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JKT_2017-04-10_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-05-13_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHP_2017-06-02_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKR_2017-06-19_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-06-29_final
2017-06-30 11:36:02	ga_s2am_ard_3-2-1_50HQK_2017-06-30_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKR_2017-08-18_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHP_2017-09-10_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHQ_2017-09-10_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKQ_2017-09-17_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHP_2017-10-20_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKQ_2017-10-27_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQH_2017-11-20_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JKQ_2017-12-06_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHP_2018-01-08_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHP_2018-01-28_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMG_2018-02-11_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-17_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-03-19_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLG_2018-07-11_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-16_final
2018-11-15 11:46:48	ga_s2am_ard_3-2-1_50HQH_2018-11-15_final
2019-01-27 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2019-01-27_final
2019-02-09 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2019-02-09_final
2019-02-16 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2019-02-16_final
2019-02-19 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2019-02-19_final
2019-02-26 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2019-02-26_final
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-04-03 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-04-03_final
2019-04-07 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2019-04-07_final
2019-04-27 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2019-04-27_final
2019-05-04 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-05-04_final.stac-item
2019-05-07 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2019-05-07_final
2019-05-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-13_final
2019-05-23 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-05-23_final
2019-06-02 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-02_final
2019-06-03 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-06-03_final.stac-item
2019-06-19 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-06-19_final
2019-06-29 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-06-29_final
2019-07-13 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-08-12 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-08-12_final.stac-item
2019-08-25 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2019-08-25_final
2019-08-28 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-08-28_final
2019-09-14 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2019-09-14_final
2019-10-14 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-10-14_final
2019-11-03 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-11-03_final
2019-11-09 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-11-09_final
2019-11-19 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-11-19_final
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-12-09 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-12-09_final
2019-12-10 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-12-10_final.stac-item
2019-12-19 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-12-19_final
2019-12-29 12:14:16	ga_s2am_ard_3-2-1_49KHP_2019-12-29_final
2020-02-01 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2020-02-01_final
2020-02-17 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-02-17_final
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final
2020-05-14 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-05-14_final
2020-06-07 11:47:24	ga_s2am_ard_3-2-1_50HNG_2020-06-07_final.stac-item
2020-09-18 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2020-09-18_final
2021-06-18 12:05:16	ga_s2am_ard_3-2-1_50JKR_2021-06-18_final
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2021-09-29 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final
2022-01-11 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2022-01-11_final
2022-02-20 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-02-20_final
2022-02-23 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2022-02-23_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final
2022-04-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final
2022-04-24 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2022-04-24_final
2022-05-04 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2022-05-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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