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
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JHM_2015-12-27_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHP_2016-06-24_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-07-17_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHN_2016-07-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGN_2016-08-23_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KHR_2016-09-05_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JFM_2016-09-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-09-15_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-10-25_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2016-11-11_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JHM_2016-12-31_final
2017-01-13 12:14:33	ga_s2am_ard_3-2-1_49JGM_2017-01-13_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-12_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-03-31_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-04-10_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGP_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHP_2017-04-20_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-05-10_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49JGN_2017-07-29_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49JGL_2017-08-18_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KGP_2017-08-21_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HLG_2017-08-25_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-03-19_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-04-15_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-04-15_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHQ_2018-05-05_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-05-28_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-28_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-06-17_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-06-27_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-07-04_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KHP_2018-07-14_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_49KGQ_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-09-12_final.stac-item
2018-11-24 12:14:34	ga_s2am_ard_3-2-1_49JGN_2018-11-24_final
2019-03-04 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-03-04_final
2019-03-24 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-03-24_final
2019-04-30 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-30_final
2019-06-09 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-06-09_final.stac-item
2019-06-09 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-06-09_final
2019-06-19 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-06-19_final
2019-07-12 12:14:00	ga_s2am_ard_3-2-1_49KHR_2019-07-12_final
2019-07-12 12:14:32	ga_s2am_ard_3-2-1_49KGP_2019-07-12_final
2019-07-19 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-19_final
2019-08-21 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-08-21_final
2019-09-07 12:04:56	ga_s2am_ard_3-2-1_49JHM_2019-09-07_final
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-09-10 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-09-10_final
2019-10-17 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-17_final
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final
2019-10-27 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-27_final
2020-01-05 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-01-05_final
2020-01-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2020-01-28_final
2020-02-04 12:03:36	ga_s2am_ard_3-2-1_49KHS_2020-02-04_final.stac-item
2020-02-17 12:14:26	ga_s2am_ard_3-2-1_49KGP_2020-02-17_final
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_49KHR_2020-04-14_final
2020-04-27 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2020-04-27_final
2020-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-17_final
2020-07-03 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-03_final
2020-10-31 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-31_final
2020-11-20 12:04:30	ga_s2am_ard_3-2-1_49KHP_2020-11-20_final
2020-11-20 12:05:17	ga_s2am_ard_3-2-1_49JGL_2020-11-20_final
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final
2021-01-02 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-01-02_final
2021-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-08_final
2021-02-18 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-02-18_final
2021-02-21 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-02-21_final
2021-02-21 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-02-21_final
2021-03-07 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-03-07_final
2021-03-13 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-03-13_final
2021-04-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2021-04-02_final
2021-04-02 12:14:15	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-04-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2021-04-22_final
2021-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-05-12_final
2021-05-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-05-23_final
2021-05-26 11:57:07	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final
2021-07-28 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-28_final
2021-08-20 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-08-20_final
2021-08-20 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-08-20_final
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final
2022-01-17 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-01-17_final
2022-04-17 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-04-17_final
2022-06-07 11:47:35	ga_s2am_ard_3-2-1_50HLG_2022-06-07_final.stac-item
2022-08-02 12:04:56	ga_s2am_ard_3-2-1_49JGN_2022-08-02_final
2022-10-14 12:14:46	ga_s2am_ard_3-2-1_49JGN_2022-10-14_final.stac-item
2022-11-23 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-11-23_final.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final.stac-item
2023-04-22 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-04-22_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-07-11 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-07-11_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