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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGN_2015-12-30_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JFM_2016-02-08_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGP_2016-03-09_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHN_2016-09-02_final.stac-item
2016-10-15 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-10-15_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGM_2016-11-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHR_2016-12-01_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-21_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-21_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-01-20_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-12_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-02-22_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-22_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_49KHR_2017-03-01_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-05-30_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGM_2017-09-27_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-11-26_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-03-09_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-04-28_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGM_2018-05-15_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHR_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_final
2018-11-14 12:13:49	ga_s2am_ard_3-2-1_49KHR_2018-11-14_final
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2018-12-04 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-04_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2018-12-31 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-12-31_final.stac-item
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-02-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-02_final
2019-03-04 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-03-04_final
2019-04-20 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-20_final
2019-05-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-05-10_final
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-06-02 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-02_final
2019-08-18 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-08-18_final
2019-10-07 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-10-07_final
2019-11-09 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-11-09_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-11-26_final.stac-item
2019-12-09 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-12-09_final
2019-12-09 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-12-09_final
2019-12-16 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-16_final
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-01-18_final
2020-02-17 12:14:26	ga_s2am_ard_3-2-1_49KGP_2020-02-17_final
2020-03-18 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-03-18_final
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-04-04 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2020-04-04_final
2020-04-07 12:13:52	ga_s2am_ard_3-2-1_49KHR_2020-04-07_final
2020-05-14 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final.stac-item
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final
2020-05-27 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-05-27_final
2020-05-31 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-31_final
2020-07-23 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-07-23_final
2020-11-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2020-11-20_final.stac-item
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final
2021-01-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-19_final.stac-item
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2021-04-02_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-06-21 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-21_final
2021-07-01 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-07-01_final
2021-07-15 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-15_final
2021-09-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-09-16_final
2021-11-08 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-11-08_final
2022-01-17 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-01-17_final
2022-01-24 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-01-24_final
2022-01-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-01-27_final
2022-02-03 12:05:00	ga_s2am_ard_3-2-1_49JGM_2022-02-03_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-04-14 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-04-14_final
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-08-15 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-15_final
2022-09-11 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-09-11_final.stac-item
2022-09-24 12:14:20	ga_s2am_ard_3-2-1_49KGQ_2022-09-24_final.stac-item
2022-10-04 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-10-04_final.stac-item
2022-11-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-11-03_final.stac-item
2022-12-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-12-10_final.stac-item
2023-01-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-01-19_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-04-12 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-04-12_final.stac-item
2023-05-22 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-05-22_final.stac-item
2023-06-25 11:57:12	ga_s2am_ard_3-2-1_50HLH_2023-06-25_final.stac-item
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final.stac-item
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final.stac-item
2023-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-19_final.stac-item
2023-11-02 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-11-02_final.stac-item
2024-01-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-14_final.stac-item
2024-02-03 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-02-03_final.stac-item
2024-03-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-03-24_final.stac-item
2024-04-13 12:05:16	ga_s2am_ard_3-2-1_49JGL_2024-04-13_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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