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_49JHM_2015-12-07_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGN_2015-12-27_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-07-07_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-25_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-12-11_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-12_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLJ_2017-02-16_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGM_2017-04-10_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLG_2017-04-27_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-05-30_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGN_2017-07-12_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGN_2017-09-27_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JHN_2017-11-06_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGQ_2018-01-05_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLJ_2018-03-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGN_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-08_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMH_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMH_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMJ_2018-05-22_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KHS_2018-07-14_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMH_2018-08-10_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-15_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-15_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2019-06-02 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-06-02_final
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final
2019-06-22 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-06-22_final
2019-07-13 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-09-07 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-07_final
2019-09-14 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2019-09-14_final
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-01-09 11:47:19	ga_s2am_ard_3-2-1_50HMG_2020-01-09_final.stac-item
2020-02-08 11:47:19	ga_s2am_ard_3-2-1_50HLG_2020-02-08_final.stac-item
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final
2020-04-27 12:13:57	ga_s2am_ard_3-2-1_49KHR_2020-04-27_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-06-13 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-13_final
2020-07-06 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-06_final
2020-10-11 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-10-11_final
2020-10-28 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-28_final
2020-11-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2020-11-10_final
2020-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-11-30_final.stac-item
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final
2021-01-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-19_final
2021-01-22 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-22_final
2021-01-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-26_final.stac-item
2021-02-22 11:47:26	ga_s2am_ard_3-2-1_50HLG_2021-02-22_final.stac-item
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-02-28 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-02-28_final
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-03-10_final
2021-03-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-14_final
2021-03-14 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-03-14_final
2021-04-26 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2021-04-26_final
2021-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-05-09_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-05-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-05-22_final
2021-06-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-06-28_final
2021-08-27 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-08-27_final
2021-10-19 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-19_final
2021-10-23 11:57:11	ga_s2am_ard_3-2-1_50HMH_2021-10-23_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-06-13_final
2022-06-13 12:04:56	ga_s2am_ard_3-2-1_49JGN_2022-06-13_final
2022-08-19 11:57:18	ga_s2am_ard_3-2-1_50HMH_2022-08-19_final
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2022-11-20 12:03:45	ga_s2am_ard_3-2-1_49KHS_2022-11-20_final.stac-item
2022-12-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-12-14_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 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-10-06_final.stac-item
2023-10-09 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-09_final.stac-item
2023-11-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-11-22_final.stac-item
2023-12-05 12:05:08	ga_s2am_ard_3-2-1_49JGL_2023-12-05_final.stac-item
2023-12-09 11:47:09	ga_s2am_ard_3-2-1_50HLH_2023-12-09_final.stac-item
2023-12-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-12-19_final.stac-item
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_final.stac-item
2024-02-10 11:57:02	ga_s2am_ard_3-2-1_50HMH_2024-02-10_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