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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-10-01_final.stac-item
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_49KHR_2015-11-27_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGM_2016-02-08_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-08-06_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-05_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGM_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-02-22_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-11-09_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHR_2017-11-16_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2017-11-19_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-11-29_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGK_2017-12-06_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-10-02_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-05_final
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_49KHR_2018-12-01_final
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final
2019-01-20 12:04:42	ga_s2am_ard_3-2-1_49JGN_2019-01-20_final
2019-02-19 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-02-19_final
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final
2019-03-14 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-03-14_final
2019-03-31 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-03-31_final
2019-03-31 12:05:15	ga_s2am_ard_3-2-1_49JGL_2019-03-31_final
2019-05-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-10_final
2019-05-30 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-05-30_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-07-29 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-29_final
2019-08-31 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-08-31_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-10-17 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-17_final
2019-10-27 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-10-27_final
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2019-11-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-11-29_final
2019-12-06 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-12-06_final
2019-12-16 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-16_final
2020-01-15 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-15_final
2020-01-25 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-01-25_final
2020-03-25 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final
2020-05-14 12:04:09	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_49KHR_2020-06-03_final
2020-06-23 12:04:10	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final
2020-09-14 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-14_final
2020-10-31 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-10-31_final
2020-11-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2020-11-13_final
2020-11-23 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-11-23_final
2020-12-30 12:04:28	ga_s2am_ard_3-2-1_49KHP_2020-12-30_final
2021-01-12 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-12_final
2021-01-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-29_final
2021-02-01 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-02-01_final
2021-02-11 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-11_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-06-18_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-08-17 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-17_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2021-09-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-09-16_final
2021-09-16 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-09-16_final
2021-09-26 12:04:50	ga_s2am_ard_3-2-1_49JGN_2021-09-26_final
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2021-10-06 12:05:05	ga_s2am_ard_3-2-1_49JGM_2021-10-06_final
2021-11-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-11-18_final
2021-11-18 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-18_final
2021-11-25 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-11-25_final
2021-12-08 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-12-08_final
2022-02-13 12:05:00	ga_s2am_ard_3-2-1_49JGM_2022-02-13_final
2022-03-05 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-04-24 12:04:47	ga_s2am_ard_3-2-1_49JHN_2022-04-24_final
2022-07-16 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-07-16_final
2022-07-23 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-07-23_final
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-10-01 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-10-01_final.stac-item
2022-10-01 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-10-01_final.stac-item
2022-10-11 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-10-11_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-11-10_final.stac-item
2022-11-13 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-11-13_final.stac-item
2022-12-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-12-10_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2023-01-02 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-01-02_final.stac-item
2023-02-08 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-02-08_final.stac-item
2023-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-02-11_final.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_final.stac-item
2023-03-10 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-03-10_final.stac-item
2023-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-03-23_final.stac-item
2023-04-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-09_final.stac-item
2023-04-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-09_final.stac-item
2023-05-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_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
2023-07-18 12:05:05	ga_s2am_ard_3-2-1_49JGM_2023-07-18_final.stac-item
2023-09-09 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-09-09_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_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
2024-01-04 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2024-01-04_final.stac-item
2024-01-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-14_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_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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