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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGN_2016-03-16_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGN_2016-04-18_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_49JGL_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
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-08-06_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-09-15_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHP_2016-10-22_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGP_2016-11-01_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLG_2016-12-15_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-31_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JHN_2017-04-20_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-06-09_final
2017-07-19 12:03:48	ga_s2am_ard_3-2-1_49KHR_2017-07-19_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-11-09_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHM_2018-01-05_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-02-07_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-02-24_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGK_2018-03-16_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHR_2018-03-29_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JHN_2018-05-05_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_49KHR_2018-05-18_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KHP_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGQ_2018-06-24_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-06-27_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-07-14_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-08-03_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-08-26_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHR_2018-09-05_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLK_2018-09-19_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-11-01_final
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final
2018-12-11 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-11_final
2019-01-13 12:13:35	ga_s2am_ard_3-2-1_49KHS_2019-01-13_final.stac-item
2019-03-31 12:05:08	ga_s2am_ard_3-2-1_49JGL_2019-03-31_final
2019-04-04 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-04-04_final
2019-04-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-04-23_final
2019-06-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-06-29_final.stac-item
2019-06-29 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-06-29_final
2019-07-12 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-12_final.stac-item
2019-08-18 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-08-18_final
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final
2019-09-17 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-17_final
2019-10-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-10-07_final
2019-10-20 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-20_final
2019-11-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2020-01-18 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-18_final
2020-02-04 12:04:23	ga_s2am_ard_3-2-1_49KGP_2020-02-04_final
2020-02-18 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-02-18_final.stac-item
2020-03-02 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-02_final.stac-item
2020-03-05 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-05_final
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final
2020-04-14 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-04-14_final.stac-item
2020-04-21 11:57:21	ga_s2am_ard_3-2-1_50HMG_2020-04-21_final.stac-item
2020-05-04 12:04:08	ga_s2am_ard_3-2-1_49KHR_2020-05-04_final
2020-05-14 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-05-14_final
2020-05-31 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-31_final
2020-07-03 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-07-03_final
2020-08-05 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-08-05_final.stac-item
2020-09-01 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-09-01_final
2020-12-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2020-12-20_final
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final
2021-05-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-05-09_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-07-28 12:04:26	ga_s2am_ard_3-2-1_49KHP_2021-07-28_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-08-27 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-27_final
2021-11-19 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-11-19_final
2022-04-07 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-04-07_final
2022-04-14 12:03:47	ga_s2am_ard_3-2-1_49KHS_2022-04-14_final.stac-item
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_49KHS_2022-05-24_final.stac-item
2022-05-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-05-24_final
2022-06-13 12:04:24	ga_s2am_ard_3-2-1_49KHQ_2022-06-13_final
2022-10-24 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-10-24_final.stac-item
2022-12-10 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-12-10_final.stac-item
2023-01-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-01-19_final.stac-item
2023-03-27 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-27_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-09_final.stac-item
2023-04-23 11:47:23	ga_s2am_ard_3-2-1_50HMG_2023-04-23_final.stac-item
2023-04-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-29_final.stac-item
2023-07-08 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-08_final.stac-item
2023-09-09 12:14:03	ga_s2am_ard_3-2-1_49KGR_2023-09-09_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-05_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_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