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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KGP_2015-12-17_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHP_2016-01-16_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGK_2016-02-05_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLJ_2016-05-22_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-01-20_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HLK_2017-03-08_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHR_2017-03-11_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-08-18_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGR_2017-10-20_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHQ_2017-11-09_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final
2018-11-18 11:57:17	ga_s2am_ard_3-2-1_50HLG_2018-11-18_final.stac-item
2018-12-14 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-14_final
2018-12-14 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-14_final
2018-12-14 12:14:18	ga_s2am_ard_3-2-1_49KGP_2018-12-14_final
2018-12-14 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-14_final
2019-01-17 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-01-17_final
2019-01-20 12:05:11	ga_s2am_ard_3-2-1_49JGL_2019-01-20_final
2019-02-26 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-02-26_final
2019-03-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2019-03-11_final
2019-03-21 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-03-21_final
2019-05-03 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-03_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-05-17 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-05-17_final
2019-06-09 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final.stac-item
2019-08-31 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-08-31_final
2019-09-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2019-09-30_final
2019-10-10 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-10-10_final
2019-11-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2019-11-26_final
2019-11-26 12:04:31	ga_s2am_ard_3-2-1_49KGP_2019-11-26_final
2019-12-16 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-16_final
2020-01-18 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-01-18_final
2020-01-25 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-01-25_final
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2020-02-07_final
2020-02-11 11:56:33	ga_s2am_ard_3-2-1_50HLK_2020-02-11_final
2020-02-24 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-04-07 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-04-07_final
2020-04-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2020-04-17_final
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-05-07_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_49KHR_2020-06-03_final
2020-08-22 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-08-22_final
2020-09-14 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-09-14_final
2020-09-14 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-14_final
2020-09-15 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-09-15_final
2020-09-18 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-09-18_final.stac-item
2020-10-01 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-01_final
2020-10-01 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-10-01_final
2020-10-01 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-01_final
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final
2021-01-19 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-19_final
2021-01-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-29_final
2021-01-29 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-01-29_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-04-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2021-04-19_final
2021-11-05 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-11-05_final
2021-11-15 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-11-15_final
2021-11-25 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-11-25_final
2022-01-14 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-14_final
2022-02-23 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-02-23_final
2022-04-21 11:56:45	ga_s2am_ard_3-2-1_50HLK_2022-04-21_final
2022-04-24 12:04:33	ga_s2am_ard_3-2-1_49KHP_2022-04-24_final
2022-05-14 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-05-14_final
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final
2022-06-23 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-06-23_final
2022-07-06 12:14:08	ga_s2am_ard_3-2-1_49KHR_2022-07-06_final
2022-09-28 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-09-28_final.stac-item
2022-10-01 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-10-01_final.stac-item
2022-10-18 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-10-18_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-12-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2022-12-23_final.stac-item
2023-01-09 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-01-09_final.stac-item
2023-01-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-01-09_final.stac-item
2023-01-29 12:05:27	ga_s2am_ard_3-2-1_49JGK_2023-01-29_final.stac-item
2023-03-03 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-03-03_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-04-19 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-04-19_final.stac-item
2023-05-26 11:56:43	ga_s2am_ard_3-2-1_50HLK_2023-05-26_final.stac-item
2023-06-08 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-08_final.stac-item
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final.stac-item
2023-07-08 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-08_final.stac-item
2023-07-08 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-08_final.stac-item
2023-07-11 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-07-11_final.stac-item
2023-07-18 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-07-18_final.stac-item
2023-09-26 12:05:31	ga_s2am_ard_3-2-1_49JGK_2023-09-26_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-09_final.stac-item
2023-11-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-11-22_final.stac-item
2023-12-18 12:13:54	ga_s2am_ard_3-2-1_49KGR_2023-12-18_final.stac-item
2023-12-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2023-12-18_final.stac-item
2024-01-01 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2024-01-01_final.stac-item
2024-01-31 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2024-01-31_final.stac-item
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final.stac-item
2024-03-04 12:04:28	ga_s2am_ard_3-2-1_49KHP_2024-03-04_final.stac-item
2024-03-04 12:05:15	ga_s2am_ard_3-2-1_49JGL_2024-03-04_final.stac-item
2024-03-14 12:05:15	ga_s2am_ard_3-2-1_49JGL_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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