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
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JLQ_2015-11-27_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2015-12-07_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JHN_2015-12-27_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50HQK_2016-01-17_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHN_2016-02-05_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HLG_2016-02-19_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50HQK_2016-05-06_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-06-14_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHQ_2016-07-27_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-09-15_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-09-22_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-10-12_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLG_2016-12-25_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HLG_2017-03-05_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2017-03-21_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JLL_2017-04-07_final.stac-item
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50HQK_2017-04-11_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHN_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JKT_2017-04-30_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JLQ_2017-05-10_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLG_2017-05-17_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLQ_2017-06-06_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKQ_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLQ_2017-06-29_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKR_2017-07-09_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLQ_2017-08-05_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHP_2017-09-10_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2017-09-17_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHP_2017-10-20_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JHN_2017-10-27_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLG_2018-02-08_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-17_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-03-09_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HMG_2018-05-09_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-27_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HNG_2018-08-04_final.stac-item
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2019-04-14 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-04-14_final.stac-item
2019-04-24 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-04-24_final.stac-item
2019-05-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-05-03_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
2019-07-03 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-07-03_final.stac-item
2019-07-12 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-12_final
2019-07-13 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-07-13_final.stac-item
2019-07-13 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-07-22 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-22_final
2019-07-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2019-07-29_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-08-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-08-11_final
2019-08-12 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-08-12_final.stac-item
2019-08-18 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-08-18_final
2019-09-10 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-09-10_final
2019-09-20 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-09-20_final
2019-09-30 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-09-30_final
2019-10-10 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-10-10_final
2019-10-14 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-10-14_final
2019-12-23 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-12-23_final.stac-item
2020-02-28 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-02-28_final.stac-item
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-07-26_final.stac-item
2020-09-05 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-05_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-16 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-16_final.stac-item
2021-04-19 12:05:10	ga_s2am_ard_3-2-1_50JKR_2021-04-19_final
2021-04-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2021-04-30_final.stac-item
2021-11-12 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-11-12_final.stac-item
2021-11-22 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-11-22_final.stac-item
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-02-07 11:47:16	ga_s2am_ard_3-2-1_50HPG_2022-02-07_final.stac-item
2022-03-12 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2022-03-12_final
2022-03-22 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2022-03-22_final
2022-04-01 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-01_final.stac-item
2022-05-04 12:05:09	ga_s2am_ard_3-2-1_50JKR_2022-05-04_final
2022-06-17 11:47:39	ga_s2am_ard_3-2-1_50HLG_2022-06-17_final.stac-item
2022-10-05 11:47:24	ga_s2am_ard_3-2-1_50HPG_2022-10-05_final.stac-item
2023-01-13 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-01-13_final.stac-item
2023-02-02 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-02-02_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-05-03 11:47:27	ga_s2am_ard_3-2-1_50HLG_2023-05-03_final.stac-item
2023-07-21 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-07-21_final.stac-item
2023-08-01 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-01_final.stac-item
2023-12-19 11:47:23	ga_s2am_ard_3-2-1_50HLG_2023-12-19_final.stac-item
2024-04-10 11:56:30	ga_s2am_ard_3-2-1_50HLK_2024-04-10_final.stac-item
2024-04-13 12:05:10	ga_s2am_ard_3-2-1_49JFM_2024-04-13_final.stac-item
2024-04-17 11:47:30	ga_s2am_ard_3-2-1_50HLG_2024-04-17_final.stac-item
2024-04-20 11:56:17	ga_s2am_ard_3-2-1_50JKM_2024-04-20_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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