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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPK_2016-01-07_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-06-17_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2016-06-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHP_2016-08-23_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGK_2016-09-02_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-10-12_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-10-25_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2016-11-04_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPJ_2016-11-22_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-12-11_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNJ_2016-12-15_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPJ_2016-12-22_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HMK_2016-12-28_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHP_2017-03-11_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HLH_2017-03-25_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-04-03_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HQH_2017-06-13_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HMK_2017-07-06_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHS_2017-07-12_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HNG_2017-07-30_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HPG_2017-08-12_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGL_2017-09-17_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHS_2018-01-05_final.stac-item
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPG_2018-01-26_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMJ_2018-02-01_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2018-03-26_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-04-25_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMH_2018-07-31_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLH_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMK_2018-09-19_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final
2018-12-22 11:37:00	ga_s2am_ard_3-2-1_50HQH_2018-12-22_final
2018-12-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-12-25_final
2019-01-10 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2019-01-10_final
2019-01-21 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2019-01-21_final
2019-02-20 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-02-20_final
2019-03-01 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-01_final
2019-04-27 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-04-27_final
2019-06-03 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-03_final
2019-11-13 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-13_final
2019-11-17 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-12-20 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-12-20_final
2020-01-09 11:46:48	ga_s2am_ard_3-2-1_50HQH_2020-01-09_final
2020-02-08 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-02-08_final
2020-03-09 11:46:58	ga_s2am_ard_3-2-1_50HPH_2020-03-09_final
2020-03-26 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-03-26_final
2020-04-11 11:57:08	ga_s2am_ard_3-2-1_50HLH_2020-04-11_final
2020-04-24 12:04:47	ga_s2am_ard_3-2-1_49JGN_2020-04-24_final
2020-06-13 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-06-13_final
2020-08-22 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-08-22_final
2020-10-28 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-28_final
2020-11-24 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2020-11-24_final
2020-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2020-12-21_final
2021-01-30 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-30_final
2021-03-07 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-03-07_final
2021-08-11 11:46:43	ga_s2am_ard_3-2-1_50HMK_2021-08-11_final
2021-10-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-07_final
2021-12-29 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-12-29_final
2022-01-18 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-01-18_final
2022-01-18 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-01-18_final
2022-01-28 11:46:30	ga_s2am_ard_3-2-1_50HQK_2022-01-28_final
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-02-17 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-02-17_final.stac-item
2022-03-06 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2022-03-06_final
2022-03-09 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-03-09_final
2022-04-14 12:04:31	ga_s2am_ard_3-2-1_49KHP_2022-04-14_final
2022-05-08 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2022-05-08_final
2022-05-18 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2022-05-18_final
2022-06-30 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-06-30_final
2022-08-05 12:14:20	ga_s2am_ard_3-2-1_49KHQ_2022-08-05_final
2022-08-15 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-15_final
2022-11-20 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-11-20_final.stac-item
2022-12-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-12-14_final.stac-item
2022-12-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2022-12-20_final.stac-item
2023-01-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-01-03_final.stac-item
2023-01-10 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-01-10_final.stac-item
2023-01-13 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-01-13_final.stac-item
2023-01-19 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2023-01-19_final.stac-item
2023-01-20 11:37:21	ga_s2am_ard_3-2-1_50HNG_2023-01-20_final.stac-item
2023-01-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2023-01-22_final.stac-item
2023-01-30 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-01-30_final.stac-item
2023-02-02 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-02-22 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-02-22_final.stac-item
2023-03-20 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2023-03-20_final.stac-item
2023-04-09 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-04-09_final.stac-item
2023-05-26 11:56:40	ga_s2am_ard_3-2-1_50HMK_2023-05-26_final.stac-item
2023-06-08 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-06-08_final.stac-item
2023-06-28 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-28_final.stac-item
2023-07-22 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-22_final.stac-item
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final.stac-item
2023-10-13 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-10-13_final.stac-item
2024-01-18 11:46:32	ga_s2am_ard_3-2-1_50HMK_2024-01-18_final.stac-item
2024-02-07 11:47:02	ga_s2am_ard_3-2-1_50HNH_2024-02-07_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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