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
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGN_2016-05-15_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-08-06_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLK_2016-10-09_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-12-11_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLJ_2017-02-26_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HLK_2017-08-15_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLK_2017-12-03_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JGM_2017-12-09_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLJ_2017-12-23_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLH_2018-02-11_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGN_2018-03-16_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-04-08_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGM_2018-05-25_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-04_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-15_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-11-04_final
2018-11-21 12:04:24	ga_s2am_ard_3-2-1_49KGP_2018-11-21_final
2018-12-04 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2018-12-04_final
2018-12-24 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-12-24_final
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final
2019-01-27 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-01-27_final
2019-02-19 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-02-19_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-03-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-11_final
2019-09-07 12:05:14	ga_s2am_ard_3-2-1_49JGL_2019-09-07_final
2019-09-20 12:14:27	ga_s2am_ard_3-2-1_49KGP_2019-09-20_final
2019-09-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-09-30_final
2019-10-20 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-20_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-01-15 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-15_final
2020-01-15 12:04:25	ga_s2am_ard_3-2-1_49KGP_2020-01-15_final
2020-01-19 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-01-19_final.stac-item
2020-01-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2020-01-28_final
2020-02-27 12:14:51	ga_s2am_ard_3-2-1_49JGM_2020-02-27_final
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-03-12 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-12_final
2020-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-05-17_final
2020-05-17 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-05-17_final
2020-09-01 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-01_final
2020-09-08 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-09-08_final
2020-11-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2020-11-20_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2020-12-20_final.stac-item
2020-12-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-23_final
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final
2021-02-11 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-11_final
2021-02-28 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-28_final.stac-item
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-03-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-17_final
2021-04-02 12:13:37	ga_s2am_ard_3-2-1_49KHS_2021-04-02_final.stac-item
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-07-18 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-18_final
2021-08-14 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-08-14_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-10-09 12:14:03	ga_s2am_ard_3-2-1_49KGR_2021-10-09_final
2021-12-28 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-12-28_final
2022-01-04 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-01-04_final
2022-02-23 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-02-23_final
2022-03-08 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-08_final
2022-04-21 11:56:45	ga_s2am_ard_3-2-1_50HLK_2022-04-21_final
2022-07-13 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-07-13_final
2022-07-26 12:15:06	ga_s2am_ard_3-2-1_49JGM_2022-07-26_final
2022-07-27 11:47:34	ga_s2am_ard_3-2-1_50HMG_2022-07-27_final.stac-item
2022-07-30 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-07-30_final
2022-09-11 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-11_final.stac-item
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-10-11 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-10-11_final.stac-item
2022-11-23 12:13:54	ga_s2am_ard_3-2-1_49KHR_2022-11-23_final.stac-item
2022-12-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-12-03_final.stac-item
2022-12-07 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-12-07_final.stac-item
2023-01-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-01-13_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-02-02 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-04-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-04-03_final.stac-item
2023-08-27 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2023-08-27_final.stac-item
2023-09-29 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-09-29_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-09_final.stac-item
2023-10-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-10-26_final.stac-item
2023-11-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-11-22_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-12-25_final.stac-item
2024-01-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2024-01-04_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_final.stac-item
2024-01-31 11:57:05	ga_s2am_ard_3-2-1_50HLH_2024-01-31_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_2024-02-03_final.stac-item
2024-02-03 12:04:56	ga_s2am_ard_3-2-1_49JGM_2024-02-03_final.stac-item
2024-03-14 12:05:44	ga_s2am_ard_3-2-1_49JGJ_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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