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_49JGM_2015-10-01_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGN_2016-02-05_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHP_2016-03-16_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-04-25_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JHM_2016-05-15_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JFM_2016-05-28_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2016-06-24_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGM_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHN_2016-09-02_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-25_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHM_2016-11-01_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHN_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHP_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLJ_2017-01-07_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLH_2017-02-26_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2017-03-21_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGL_2017-04-20_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-06-02_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2017-09-27_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLG_2017-10-24_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-11-29_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLG_2017-12-03_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHQ_2018-01-05_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-17_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-27_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLJ_2018-03-03_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-03-29_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-05-12_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLH_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLJ_2018-06-01_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHP_2018-06-04_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-07-17_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHP_2018-07-27_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHR_2018-08-13_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-16_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-08-26_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLK_2018-09-09_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-09-12_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGM_2018-09-25_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-22_final
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final
2018-12-31 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-12-31_final
2019-03-31 12:05:15	ga_s2am_ard_3-2-1_49JGL_2019-03-31_final
2019-04-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-04-23_final.stac-item
2019-04-30 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-04-30_final
2019-05-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-23_final
2019-05-30 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-05-30_final
2019-06-22 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-06-22_final
2019-06-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-06-29_final
2019-08-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-08-11_final.stac-item
2019-08-18 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-08-18_final
2019-08-21 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-08-21_final
2019-09-27 12:04:43	ga_s2am_ard_3-2-1_49JHN_2019-09-27_final
2019-12-23 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2019-12-23_final
2020-02-21 11:57:17	ga_s2am_ard_3-2-1_50HLG_2020-02-21_final.stac-item
2020-03-02 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-02_final
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final
2020-06-16 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-06-16_final.stac-item
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-07-03 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-07-03_final
2020-09-28 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-09-28_final.stac-item
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2020-12-30 12:04:28	ga_s2am_ard_3-2-1_49KHP_2020-12-30_final
2021-01-09 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-09_final
2021-01-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-22_final
2021-02-28 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-28_final
2021-03-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-13_final
2021-04-02 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-04-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2021-04-02_final
2021-04-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2021-04-19_final
2021-04-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2021-04-26_final
2021-04-26 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-05-12_final
2021-07-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-07-01_final
2021-07-28 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-09-03 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-09-03_final.stac-item
2021-10-06 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-06_final.stac-item
2021-11-15 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-11-15_final.stac-item
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-03-08_final.stac-item
2022-04-07 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-04-07_final.stac-item
2022-04-14 12:03:47	ga_s2am_ard_3-2-1_49KHS_2022-04-14_final.stac-item
2022-07-27 11:47:37	ga_s2am_ard_3-2-1_50HLG_2022-07-27_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2022-10-11_final.stac-item
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_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