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_49JGM_2015-12-07_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGM_2016-01-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHP_2016-04-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHP_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGN_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2016-06-24_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLG_2016-07-01_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-07-07_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-09-15_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHP_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-11_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-31_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLH_2017-04-07_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-06-19_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHP_2017-07-12_final
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_49KHR_2017-08-11_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_49KHP_2017-11-29_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHP_2018-01-05_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLG_2018-03-13_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-03-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-04-28_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGN_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-18_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-28_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HLH_2018-06-28_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-07-14_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KHS_2018-07-14_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-24_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHQ_2018-09-05_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-02_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-10-12_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-11-01_final
2018-11-11 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2018-11-11_final
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final
2019-03-01 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-03-01_final.stac-item
2019-05-23 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-23_final
2019-06-19 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-19_final
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final
2019-07-09 12:04:47	ga_s2am_ard_3-2-1_49JHN_2019-07-09_final
2019-07-09 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-09_final
2019-08-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-08-28_final
2019-09-27 12:03:45	ga_s2am_ard_3-2-1_49KHS_2019-09-27_final.stac-item
2019-09-27 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-09-27_final
2019-09-27 12:05:09	ga_s2am_ard_3-2-1_49JFM_2019-09-27_final
2019-11-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-11-16_final.stac-item
2020-01-05 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-01-05_final
2020-01-08 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-01-08_final
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final
2020-01-15 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-15_final.stac-item
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-03-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-22_final
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-04-24 12:05:02	ga_s2am_ard_3-2-1_49JGM_2020-04-24_final
2020-05-04 12:03:48	ga_s2am_ard_3-2-1_49KHS_2020-05-04_final.stac-item
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final
2020-06-06 12:15:17	ga_s2am_ard_3-2-1_49JGL_2020-06-06_final
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-06-26_final.stac-item
2020-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-11_final.stac-item
2020-11-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2020-11-20_final.stac-item
2020-12-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2020-12-20_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2021-01-09 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-09_final
2021-01-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-01-09_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-01-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-01-22_final
2021-02-02 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-02-02_final.stac-item
2021-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-02-11_final
2021-02-22 11:47:26	ga_s2am_ard_3-2-1_50HLG_2021-02-22_final.stac-item
2021-03-20 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-03-20_final
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-04-19 12:05:11	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final
2021-05-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-05-09_final
2021-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2021-05-12_final.stac-item
2021-05-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-05-22_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-18 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-06-18_final
2021-07-08 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-07-08_final
2021-07-11 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-11_final
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final
2021-09-06 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-09-06_final
2022-07-16 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-07-16_final.stac-item
2022-09-24 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-09-24_final.stac-item
2023-01-13 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-01-13_final.stac-item
2023-04-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-06_final.stac-item
2023-07-21 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-07-21_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-09-01 12:51:05	ga_s2am_ard_3-2-1_48LWP_2023-09-01_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