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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGM_2015-11-30_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLG_2015-12-21_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JHN_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHP_2016-03-16_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JGL_2016-07-24_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2016-09-12_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
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGN_2016-12-04_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-31_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGM_2017-03-11_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHM_2017-05-20_final
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-08-21_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-10-30_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGN_2017-11-06_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-11-29_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGL_2017-12-06_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGM_2017-12-16_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGN_2018-01-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-02-24_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-02-27_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGN_2018-03-26_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-03-26_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-03-29_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-03-29_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-04-18_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JHM_2018-05-15_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHR_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGP_2018-05-18_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-06-14_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHR_2018-09-05_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-22_final
2018-11-14 12:14:36	ga_s2am_ard_3-2-1_49JGN_2018-11-14_final
2018-11-21 12:04:47	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-11-21 12:04:49	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final
2018-12-11 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-11_final
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final
2018-12-31 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2018-12-31_final
2018-12-31 12:04:25	ga_s2am_ard_3-2-1_49KGP_2018-12-31_final
2019-04-30 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-30_final
2019-05-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-23_final
2019-07-09 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-09_final
2019-07-12 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-07-12_final
2019-08-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-08-11_final.stac-item
2019-08-21 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-08-21_final
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-08-28_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-09-11 11:47:26	ga_s2am_ard_3-2-1_50HLG_2019-09-11_final.stac-item
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-07_final
2019-10-07 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-10-07_final
2019-10-20 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-10-20_final
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_49JHN_2019-12-26_final
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-04-04_final
2020-04-27 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-04-27_final
2020-04-27 12:15:02	ga_s2am_ard_3-2-1_49JFM_2020-04-27_final
2020-06-26 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-06-26_final
2020-10-21 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-21_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-02-08_final.stac-item
2021-02-28 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-28_final
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final
2021-04-19 12:04:41	ga_s2am_ard_3-2-1_49JGN_2021-04-19_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-05-12 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-05-12_final
2021-07-08 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-08_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final
2021-07-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-28_final
2021-08-10 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-08-10_final
2021-08-27 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-27_final
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final
2021-09-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-09-16_final
2021-11-05 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-11-05_final
2022-02-10 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-02-10_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-05_final.stac-item
2022-03-28 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final
2022-07-06 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-06_final
2022-07-13 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-07-13_final
2022-09-24 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-09-24_final.stac-item
2023-01-29 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-01-29_final.stac-item
2023-03-07 11:57:19	ga_s2am_ard_3-2-1_50HLG_2023-03-07_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-28_final.stac-item
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final.stac-item
2023-08-30 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-08-30_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-12-25_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