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
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JGM_2016-03-29_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KHR_2016-04-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HMJ_2016-06-18_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-06-27_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-10-22_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-21_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGR_2016-11-24_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMG_2016-12-15_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-01-03_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HMK_2017-05-24_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNJ_2017-07-03_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMH_2017-08-25_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMK_2017-08-25_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHS_2017-09-27_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HNG_2017-09-28_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLG_2018-02-08_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-02-14_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-17_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-24_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-27_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-05-12_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMK_2018-08-27_final
2018-11-14 12:13:53	ga_s2am_ard_3-2-1_49KGR_2018-11-14_final
2018-11-15 11:47:19	ga_s2am_ard_3-2-1_50HMG_2018-11-15_final.stac-item
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2018-12-31 12:04:25	ga_s2am_ard_3-2-1_49KGP_2018-12-31_final
2019-03-01 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-01_final
2019-03-04 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-03-04_final
2019-03-04 12:14:22	ga_s2am_ard_3-2-1_49KGP_2019-03-04_final
2019-04-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-04-24_final.stac-item
2019-07-03 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-03_final
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-09_final.stac-item
2019-08-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2019-08-02_final
2019-08-08 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-08-08_final
2019-08-18 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-08-18_final
2019-09-11 11:47:15	ga_s2am_ard_3-2-1_50HPG_2019-09-11_final.stac-item
2019-09-11 11:47:26	ga_s2am_ard_3-2-1_50HLG_2019-09-11_final.stac-item
2019-10-07 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-10-07_final.stac-item
2019-11-09 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-11-09_final
2019-12-19 12:13:48	ga_s2am_ard_3-2-1_49KHR_2019-12-19_final
2019-12-19 12:13:52	ga_s2am_ard_3-2-1_49KGR_2019-12-19_final
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-01-05_final
2020-01-15 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-15_final.stac-item
2020-02-05 11:37:13	ga_s2am_ard_3-2-1_50HPG_2020-02-05_final.stac-item
2020-02-08 11:47:13	ga_s2am_ard_3-2-1_50HNG_2020-02-08_final.stac-item
2020-02-24 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-03-05 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-03-12 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-12_final.stac-item
2020-05-01 11:57:23	ga_s2am_ard_3-2-1_50HMG_2020-05-01_final.stac-item
2020-05-18 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-05-18_final.stac-item
2020-07-03 12:04:11	ga_s2am_ard_3-2-1_49KHR_2020-07-03_final
2020-07-03 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-07-03_final
2020-07-20 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-07-20_final
2020-07-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-07-27_final
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final
2020-09-18 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-09-18_final.stac-item
2020-09-21 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-09-21_final.stac-item
2020-09-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-09-25_final.stac-item
2020-11-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2020-11-20_final
2021-01-06 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-06_final.stac-item
2021-02-28 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-02-28_final
2021-03-17 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-03-17_final.stac-item
2021-05-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-05-23_final
2021-05-23 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-05-23_final
2021-06-05 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-05_final.stac-item
2021-06-25 11:57:15	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-07-15 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-07-15_final
2021-08-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-07_final
2021-08-14 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-08-14_final
2021-08-24 11:57:22	ga_s2am_ard_3-2-1_50HMG_2021-08-24_final.stac-item
2021-10-07 11:37:31	ga_s2am_ard_3-2-1_50HNG_2021-10-07_final.stac-item
2021-10-30 11:47:25	ga_s2am_ard_3-2-1_50HNG_2021-10-30_final.stac-item
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-05-05 11:37:31	ga_s2am_ard_3-2-1_50HNG_2022-05-05_final.stac-item
2022-05-17 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-05-17_final
2022-06-17 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-06-17_final
2022-06-26 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-06-26_final.stac-item
2022-06-30 11:57:34	ga_s2am_ard_3-2-1_50HLG_2022-06-30_final.stac-item
2022-08-06 11:47:35	ga_s2am_ard_3-2-1_50HMG_2022-08-06_final.stac-item
2022-10-25 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-10-25_final.stac-item
2023-02-12 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-02-12_final.stac-item
2023-02-22 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-02-22_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-05-23 11:47:13	ga_s2am_ard_3-2-1_50HMH_2023-05-23_final.stac-item
2023-06-15 11:57:15	ga_s2am_ard_3-2-1_50HMH_2023-06-15_final.stac-item
2023-08-11 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-08-11_final.stac-item
2023-08-21 11:47:33	ga_s2am_ard_3-2-1_50HLG_2023-08-21_final.stac-item
2023-08-31 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-08-31_final.stac-item
2023-11-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-11-22_final.stac-item
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final.stac-item
2024-01-11 11:57:17	ga_s2am_ard_3-2-1_50HLG_2024-01-11_final.stac-item
2024-02-27 11:47:26	ga_s2am_ard_3-2-1_50HLG_2024-02-27_final.stac-item
2024-03-01 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-01_final.stac-item
2024-03-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-03-14_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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