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
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JHM_2015-11-27_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JKR_2015-12-27_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHQ_2016-01-09_final.stac-item
2016-01-13 11:56:42	ga_s2am_ard_3-2-1_50HNK_2016-01-13_final.stac-item
2016-02-05 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2016-02-05_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-03-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHS_2016-05-15_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHN_2016-07-24_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMG_2016-10-09_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQH_2017-01-14_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_50HQK_2017-03-02_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HNG_2017-03-25_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HLH_2017-04-14_final.stac-item
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HMJ_2017-07-06_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2017-09-17_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HQH_2017-12-10_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-03-06_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKR_2018-04-05_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMJ_2018-07-11_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-17_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-06_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-12-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-12-24_final
2019-04-10 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-04-10_final
2019-06-02 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-06-02_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-08-11_final
2019-09-07 12:05:11	ga_s2am_ard_3-2-1_50JKR_2019-09-07_final
2019-09-10 12:13:38	ga_s2am_ard_3-2-1_49KHS_2019-09-10_final.stac-item
2019-09-20 12:13:40	ga_s2am_ard_3-2-1_49KHS_2019-09-20_final.stac-item
2019-12-10 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-12-10_final.stac-item
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-01-25 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2020-01-25_final
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-02-08 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-02-08_final
2020-03-05 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2020-03-05_final
2020-03-12 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-12_final.stac-item
2020-03-25 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-03-25_final
2020-03-26 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-03-26_final.stac-item
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-05-07_final
2020-06-13 12:03:51	ga_s2am_ard_3-2-1_49KHS_2020-06-13_final.stac-item
2020-09-11 12:03:48	ga_s2am_ard_3-2-1_49KHS_2020-09-11_final.stac-item
2020-09-15 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-09-15_final
2020-09-18 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-09-18_final.stac-item
2020-10-04 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-10-04_final.stac-item
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-27 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2020-11-27_final
2020-12-17 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-17_final
2021-01-23 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-23_final
2021-02-22 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-22_final
2021-03-17 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-03-17_final.stac-item
2021-04-26 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2021-04-26_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-08-27 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-08-27_final.stac-item
2021-10-06 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-06_final.stac-item
2021-10-13 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2021-10-13_final
2021-10-30 11:47:32	ga_s2am_ard_3-2-1_50HLG_2021-10-30_final.stac-item
2021-11-05 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-11-05_final
2021-11-15 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-11-15_final.stac-item
2021-11-15 12:05:13	ga_s2am_ard_3-2-1_50JKR_2021-11-15_final
2021-11-25 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-11-25_final
2021-12-22 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-12-22_final
2021-12-25 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-12-25_final
2021-12-29 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-12-29_final
2022-01-04 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2022-01-04_final
2022-02-03 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2022-02-03_final
2022-02-10 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2022-02-10_final
2022-03-05 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2022-03-05_final
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-05-08 11:47:32	ga_s2am_ard_3-2-1_50HLG_2022-05-08_final.stac-item
2022-06-27 11:47:06	ga_s2am_ard_3-2-1_50HQH_2022-06-27_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-07-13_final
2022-07-16 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-07-16_final
2022-09-24 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-09-24_final.stac-item
2022-11-20 12:03:45	ga_s2am_ard_3-2-1_49KHS_2022-11-20_final.stac-item
2023-02-05 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-02-05_final.stac-item
2023-02-08 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-02-08_final.stac-item
2023-02-22 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-02-22_final.stac-item
2023-03-04 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-03-04_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-03-20 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-03-20_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-05-13 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-05-13_final.stac-item
2023-06-08 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2023-06-08_final.stac-item
2023-06-12 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-06-12_final.stac-item
2023-07-02 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-07-02_final.stac-item
2023-08-01 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-01_final.stac-item
2023-08-27 12:05:18	ga_s2am_ard_3-2-1_50JKR_2023-08-27_final.stac-item
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-09-16_final.stac-item
2023-09-26 12:03:47	ga_s2am_ard_3-2-1_49KHS_2023-09-26_final.stac-item
2023-10-06 12:05:13	ga_s2am_ard_3-2-1_50JKR_2023-10-06_final.stac-item
2023-10-26 12:05:12	ga_s2am_ard_3-2-1_50JKR_2023-10-26_final.stac-item
2023-12-06 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-12-06_final.stac-item
2024-03-07 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-07_final.stac-item
2024-05-03 12:05:15	ga_s2am_ard_3-2-1_50JKR_2024-05-03_final.stac-item
2024-05-26 12:13:40	ga_s2am_ard_3-2-1_49KHS_2024-05-26_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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