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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGQ_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGL_2015-10-21_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHR_2015-10-28_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHP_2016-01-16_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLH_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-28_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-06-07_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-06-14_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HLH_2016-07-21_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHQ_2016-09-25_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-12-11_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-01-20_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-02-12_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2017-02-19_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-22_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_49KHR_2017-03-01_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHR_2017-09-17_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JFM_2017-09-20_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-16_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-04-28_final
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final
2018-12-14 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-14_final
2019-01-30 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-01-30_final
2019-02-12 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-02-12_final
2019-02-12 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-12_final
2019-02-19 12:04:27	ga_s2am_ard_3-2-1_49KGP_2019-02-19_final
2019-03-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-11_final
2019-03-14 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-03-14_final
2019-03-21 12:04:26	ga_s2am_ard_3-2-1_49KHP_2019-03-21_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
2019-06-23 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-06-23_final
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final
2019-07-29 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2019-07-29_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
2019-10-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-10-10_final
2020-04-07 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2020-04-07_final
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final
2020-05-07 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-05-07_final
2020-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-05-07_final
2020-05-17 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-05-17_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final
2020-05-27 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-05-27_final
2020-06-20 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-20_final
2020-06-20 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-20_final
2020-07-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-30_final
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final
2020-08-15 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-15_final
2020-09-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-01_final
2020-09-08 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-09-08_final
2020-10-01 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-01_final
2020-10-01 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-01_final
2020-10-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-10-04_final
2020-11-13 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-11-13_final
2020-11-13 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-11-13_final
2020-12-13 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-12-13_final
2021-01-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-01-29_final
2021-01-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-29_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-08-24 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-08-24_final.stac-item
2021-09-13 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-13_final
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final
2021-11-28 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-28_final
2021-12-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-12-12_final
2022-02-10 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-02-10_final
2022-02-20 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-02-20_final.stac-item
2022-03-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-02_final
2022-03-12 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-03-12_final
2022-04-11 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-11_final
2022-04-14 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2022-04-14_final
2022-04-21 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-04-21_final.stac-item
2022-04-28 11:47:19	ga_s2am_ard_3-2-1_50HLH_2022-04-28_final
2022-05-21 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-05-21_final
2022-05-24 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-06-23 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-06-23_final
2022-07-27 11:47:24	ga_s2am_ard_3-2-1_50HLH_2022-07-27_final
2023-06-02 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-02_final.stac-item
2023-06-25 11:57:12	ga_s2am_ard_3-2-1_50HLH_2023-06-25_final.stac-item
2023-09-06 12:05:14	ga_s2am_ard_3-2-1_49JFM_2023-09-06_final.stac-item
2023-10-23 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-10-23_final.stac-item
2023-12-05 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2023-12-05_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2023-12-08 12:14:21	ga_s2am_ard_3-2-1_49KGP_2023-12-08_final.stac-item
2024-03-01 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-01_final.stac-item
2024-03-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-17_final.stac-item
2024-03-21 11:57:23	ga_s2am_ard_3-2-1_50HLG_2024-03-21_final.stac-item
2024-04-06 12:13:56	ga_s2am_ard_3-2-1_49KGR_2024-04-06_final.stac-item
2024-04-06 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2024-04-06_final.stac-item
2024-04-26 12:13:57	ga_s2am_ard_3-2-1_49KHR_2024-04-26_final.stac-item
2024-04-27 11:47:16	ga_s2am_ard_3-2-1_50HLH_2024-04-27_final.stac-item
2024-04-30 11:57:12	ga_s2am_ard_3-2-1_50HLH_2024-04-30_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

All years