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_49JGL_2015-10-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHS_2016-02-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHQ_2016-03-16_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-07-14_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHM_2016-07-24_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-02_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHR_2016-11-24_final.stac-item
2017-03-21 12:03:40	ga_s2am_ard_3-2-1_49KHR_2017-03-21_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2017-04-23_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHM_2017-09-17_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JGM_2017-12-09_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-03-06_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-03-19_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-18_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGP_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-05-18_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-06-27_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-07-07_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGP_2018-07-27_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-08-03_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-06_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-16_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGL_2018-09-25_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-10-22_final
2018-11-14 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final
2018-12-31 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2018-12-31_final
2019-02-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2019-02-02_final
2019-05-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-05-23_final
2019-06-22 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-06-22_final
2019-07-09 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-09_final
2019-08-18 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-08-18_final
2019-08-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-08-28_final
2019-09-07 12:04:30	ga_s2am_ard_3-2-1_49KGP_2019-09-07_final
2019-10-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-10-07_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2019-12-16 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-16_final
2019-12-19 12:13:48	ga_s2am_ard_3-2-1_49KHR_2019-12-19_final
2020-01-25 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-01-25_final
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final
2020-02-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-02-14_final
2020-02-27 12:14:55	ga_s2am_ard_3-2-1_49JFM_2020-02-27_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-05-27 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2020-05-27_final
2020-08-25 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-08-25_final.stac-item
2020-09-28 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-09-28_final.stac-item
2020-10-14 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-14_final
2020-12-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-12-30_final
2021-02-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-02-01_final
2021-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-03-03_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final
2021-03-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-13_final
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-03-23_final.stac-item
2021-03-23 12:14:40	ga_s2am_ard_3-2-1_49JGN_2021-03-23_final
2021-04-02 12:13:55	ga_s2am_ard_3-2-1_49KGR_2021-04-02_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-06-18_final
2021-07-08 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-07-08_final
2021-08-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-08-10_final
2021-08-10 12:14:24	ga_s2am_ard_3-2-1_49KHP_2021-08-10_final
2021-08-27 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-08-27_final
2021-09-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-09-16_final.stac-item
2021-09-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-09-19_final
2021-11-08 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-11-08_final
2021-11-15 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-11-15_final
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-15_final.stac-item
2022-02-23 12:03:47	ga_s2am_ard_3-2-1_49KHS_2022-02-23_final.stac-item
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-07-16 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-07-16_final
2022-10-14 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-10-14_final.stac-item
2022-10-21 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-10-21_final.stac-item
2022-11-30 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-11-30_final.stac-item
2022-12-23 12:13:52	ga_s2am_ard_3-2-1_49KHR_2022-12-23_final.stac-item
2023-01-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-01-29_final.stac-item
2023-02-01 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-02-01_final.stac-item
2023-03-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-03-10_final.stac-item
2023-03-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-03-13_final.stac-item
2023-04-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-09_final.stac-item
2023-04-22 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-22_final.stac-item
2023-05-06 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-05-06_final.stac-item
2023-06-01 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-01_final.stac-item
2023-06-11 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-06-11_final.stac-item
2023-07-18 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-07-18_final.stac-item
2023-08-10 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-08-10_final.stac-item
2023-08-20 12:14:33	ga_s2am_ard_3-2-1_49KGP_2023-08-20_final.stac-item
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-09-16_final.stac-item
2023-10-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-10-06_final.stac-item
2023-10-19 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-10-19_final.stac-item
2023-11-15 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-11-15_final.stac-item
2023-11-18 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-11-18_final.stac-item
2024-01-14 12:04:25	ga_s2am_ard_3-2-1_49KGP_2024-01-14_final.stac-item
2024-04-16 12:14:01	ga_s2am_ard_3-2-1_49KGR_2024-04-16_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