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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGN_2015-10-28_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-08-13_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHN_2016-09-02_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGK_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JHN_2016-12-01_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-21_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JHN_2017-02-22_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-06-29_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JHM_2017-10-27_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JHN_2017-10-27_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2017-12-16_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGK_2018-06-07_final
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final
2018-12-21 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2018-12-21_final
2019-01-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-01-10_final
2019-01-10 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-01-10_final
2019-02-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-02_final
2019-02-12 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-12_final
2019-03-11 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-11_final
2019-03-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-11_final
2019-04-03 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-04-03_final
2019-05-10 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-05-10_final
2019-05-30 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-05-30_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-10-27 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-10-27_final
2019-10-27 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-10-27_final
2019-12-29 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-12-29_final
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final
2020-01-18 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2020-01-18_final
2020-02-24 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-02-24_final
2020-02-24 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-02-24_final
2020-03-08 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-08_final
2020-03-08 12:14:27	ga_s2am_ard_3-2-1_49JHN_2020-03-08_final
2020-04-24 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2020-04-24_final
2020-06-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-06-23_final
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-07-23 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-07-23_final
2020-08-02 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-08-02_final
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-09-01 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-09-01_final
2020-12-23 12:14:26	ga_s2am_ard_3-2-1_49KGP_2020-12-23_final
2021-02-18 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-18_final
2021-05-19 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-05-19_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-11-05 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-11-05_final
2021-11-15 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-11-15_final
2022-02-03 12:04:57	ga_s2am_ard_3-2-1_49JHM_2022-02-03_final
2022-03-05 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-03-05_final
2022-04-07 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-04-07_final
2022-04-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final
2022-04-24 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-04-24_final
2022-05-04 12:05:10	ga_s2am_ard_3-2-1_49JGL_2022-05-04_final
2022-05-14 12:05:01	ga_s2am_ard_3-2-1_49JHM_2022-05-14_final
2022-05-24 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-05-24_final
2022-06-03 12:05:05	ga_s2am_ard_3-2-1_49JHM_2022-06-03_final
2022-07-03 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-07-03_final
2022-07-23 12:04:53	ga_s2am_ard_3-2-1_49JHN_2022-07-23_final
2022-08-12 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-08-12_final
2022-08-12 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-08-12_final
2022-09-01 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-09-01_final.stac-item
2022-10-21 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-10-21_final.stac-item
2022-11-03 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-11-03_final.stac-item
2022-12-30 12:04:41	ga_s2am_ard_3-2-1_49JHN_2022-12-30_final.stac-item
2023-01-09 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-01-09_final.stac-item
2023-01-09 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-01-09_final.stac-item
2023-01-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-01-19_final.stac-item
2023-01-19 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-01-19_final.stac-item
2023-02-18 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-02-18_final.stac-item
2023-02-18 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final.stac-item
2023-03-10 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-03-10_final.stac-item
2023-03-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-20_final.stac-item
2023-04-09 12:04:46	ga_s2am_ard_3-2-1_49JGN_2023-04-09_final.stac-item
2023-04-19 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-04-19_final.stac-item
2023-04-29 12:04:31	ga_s2am_ard_3-2-1_49KGP_2023-04-29_final.stac-item
2023-05-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2023-05-02_final.stac-item
2023-07-01 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-07-01_final.stac-item
2023-07-08 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-07-08_final.stac-item
2023-07-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-07-18_final.stac-item
2023-07-18 12:04:50	ga_s2am_ard_3-2-1_49JGN_2023-07-18_final.stac-item
2023-09-19 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-09-19_final.stac-item
2023-09-26 12:04:33	ga_s2am_ard_3-2-1_49KGP_2023-09-26_final.stac-item
2023-10-16 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-10-16_final.stac-item
2023-10-26 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-10-26_final.stac-item
2023-10-29 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-29_final.stac-item
2023-11-05 12:05:00	ga_s2am_ard_3-2-1_49JGM_2023-11-05_final.stac-item
2023-11-08 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-11-08_final.stac-item
2023-11-08 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-11-08_final.stac-item
2023-11-15 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-11-15_final.stac-item
2023-11-18 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-11-18_final.stac-item
2023-11-25 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-11-25_final.stac-item
2024-01-04 12:04:28	ga_s2am_ard_3-2-1_49KGP_2024-01-04_final.stac-item
2024-01-24 12:04:36	ga_s2am_ard_3-2-1_49JHN_2024-01-24_final.stac-item
2024-01-27 12:14:50	ga_s2am_ard_3-2-1_49JGM_2024-01-27_final.stac-item
2024-04-03 12:05:13	ga_s2am_ard_3-2-1_49JGL_2024-04-03_final.stac-item
2024-04-23 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-04-23_final.stac-item
2024-05-03 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-05-03_final.stac-item
2024-05-06 12:14:59	ga_s2am_ard_3-2-1_49JGM_2024-05-06_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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