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
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_52JGM_2015-08-18_final.stac-item
2015-08-28 10:55:05	ga_s2am_ard_3-2-1_52JGM_2015-08-28_final.stac-item
2015-10-07 10:54:06	ga_s2am_ard_3-2-1_52JGM_2015-10-07_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JGM_2016-01-15_final.stac-item
2016-02-14 10:47:44	ga_s2am_ard_3-2-1_52JGM_2016-02-14_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JGM_2016-03-15_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JGM_2016-04-14_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JGM_2016-05-04_final.stac-item
2016-05-24 10:55:20	ga_s2am_ard_3-2-1_52JGM_2016-05-24_final.stac-item
2016-06-13 10:55:17	ga_s2am_ard_3-2-1_52JGM_2016-06-13_final.stac-item
2016-07-03 10:55:16	ga_s2am_ard_3-2-1_52JGM_2016-07-03_final.stac-item
2016-07-23 10:55:18	ga_s2am_ard_3-2-1_52JGM_2016-07-23_final.stac-item
2016-08-12 10:55:06	ga_s2am_ard_3-2-1_52JGM_2016-08-12_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_52JGM_2016-09-01_final.stac-item
2016-09-21 10:55:09	ga_s2am_ard_3-2-1_52JGM_2016-09-21_final.stac-item
2016-10-11 10:55:27	ga_s2am_ard_3-2-1_52JGM_2016-10-11_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52JGM_2016-10-31_final.stac-item
2016-11-20 10:52:15	ga_s2am_ard_3-2-1_52JGM_2016-11-20_final
2016-11-30 10:50:09	ga_s2am_ard_3-2-1_52JGM_2016-11-30_final.stac-item
2016-12-10 10:55:17	ga_s2am_ard_3-2-1_52JGM_2016-12-10_final
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52JGM_2016-12-30_final
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JGM_2017-01-09_final
2017-01-19 10:52:06	ga_s2am_ard_3-2-1_52JGM_2017-01-19_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_52JGM_2017-02-18_final
2017-02-28 10:53:08	ga_s2am_ard_3-2-1_52JGM_2017-02-28_final
2017-03-20 10:53:07	ga_s2am_ard_3-2-1_52JGM_2017-03-20_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-04-09_final
2017-04-29 10:53:17	ga_s2am_ard_3-2-1_52JGM_2017-04-29_final
2017-06-08 10:53:16	ga_s2am_ard_3-2-1_52JGM_2017-06-08_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-06-28_final
2017-07-18 10:53:16	ga_s2am_ard_3-2-1_52JGM_2017-07-18_final
2017-08-07 10:53:16	ga_s2am_ard_3-2-1_52JGM_2017-08-07_final
2017-08-27 10:53:15	ga_s2am_ard_3-2-1_52JGM_2017-08-27_final
2017-09-16 10:53:12	ga_s2am_ard_3-2-1_52JGM_2017-09-16_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-10-06_final
2018-08-22 10:47:24	ga_s2am_ard_3-2-1_52JGM_2018-08-22_final
2018-09-01 10:53:06	ga_s2am_ard_3-2-1_52JGM_2018-09-01_final
2018-09-11 10:55:00	ga_s2am_ard_3-2-1_52JGM_2018-09-11_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JGM_2018-10-01_final
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_52JGM_2018-10-11_final
2018-10-21 10:47:22	ga_s2am_ard_3-2-1_52JGM_2018-10-21_final
2018-10-31 10:47:21	ga_s2am_ard_3-2-1_52JGM_2018-10-31_final
2018-11-10 10:55:37	ga_s2am_ard_3-2-1_52JGM_2018-11-10_final
2018-11-20 10:55:35	ga_s2am_ard_3-2-1_52JGM_2018-11-20_final
2018-11-30 10:55:33	ga_s2am_ard_3-2-1_52JGM_2018-11-30_final
2018-12-10 10:55:34	ga_s2am_ard_3-2-1_52JGM_2018-12-10_final
2018-12-30 10:55:35	ga_s2am_ard_3-2-1_52JGM_2018-12-30_final
2019-01-09 10:55:37	ga_s2am_ard_3-2-1_52JGM_2019-01-09_final
2019-01-19 10:55:38	ga_s2am_ard_3-2-1_52JGM_2019-01-19_final
2019-01-29 10:55:39	ga_s2am_ard_3-2-1_52JGM_2019-01-29_final
2019-02-08 10:55:39	ga_s2am_ard_3-2-1_52JGM_2019-02-08_final
2019-02-18 10:55:38	ga_s2am_ard_3-2-1_52JGM_2019-02-18_final
2019-02-28 10:55:37	ga_s2am_ard_3-2-1_52JGM_2019-02-28_final
2019-03-10 10:55:37	ga_s2am_ard_3-2-1_52JGM_2019-03-10_final
2019-03-20 10:55:40	ga_s2am_ard_3-2-1_52JGM_2019-03-20_final
2019-03-30 10:55:42	ga_s2am_ard_3-2-1_52JGM_2019-03-30_final
2019-04-09 10:55:43	ga_s2am_ard_3-2-1_52JGM_2019-04-09_final
2019-04-19 10:55:45	ga_s2am_ard_3-2-1_52JGM_2019-04-19_final
2019-04-29 10:55:45	ga_s2am_ard_3-2-1_52JGM_2019-04-29_final
2020-01-14 10:55:36	ga_s2am_ard_3-2-1_52JGM_2020-01-14_final
2020-01-24 10:55:35	ga_s2am_ard_3-2-1_52JGM_2020-01-24_final
2020-02-03 10:55:34	ga_s2am_ard_3-2-1_52JGM_2020-02-03_final
2020-02-13 10:55:35	ga_s2am_ard_3-2-1_52JGM_2020-02-13_final
2020-02-23 10:55:37	ga_s2am_ard_3-2-1_52JGM_2020-02-23_final
2020-03-04 10:55:38	ga_s2am_ard_3-2-1_52JGM_2020-03-04_final
2020-03-14 10:55:38	ga_s2am_ard_3-2-1_52JGM_2020-03-14_final
2020-03-24 10:55:38	ga_s2am_ard_3-2-1_52JGM_2020-03-24_final
2020-04-03 10:55:38	ga_s2am_ard_3-2-1_52JGM_2020-04-03_final
2020-04-13 10:55:41	ga_s2am_ard_3-2-1_52JGM_2020-04-13_final
2020-04-23 10:55:39	ga_s2am_ard_3-2-1_52JGM_2020-04-23_final
2020-04-23 10:55:46	ga_s2am_ard_3-2-1_52JGM_2020-04-23_final
2020-05-03 10:55:45	ga_s2am_ard_3-2-1_52JGM_2020-05-03_final
2020-05-13 10:55:47	ga_s2am_ard_3-2-1_52JGM_2020-05-13_final
2020-05-23 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-05-23_final
2020-06-02 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-06-02_final
2020-06-12 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-06-12_final
2020-06-22 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-06-22_final
2020-07-02 10:55:47	ga_s2am_ard_3-2-1_52JGM_2020-07-02_final
2020-07-12 10:55:46	ga_s2am_ard_3-2-1_52JGM_2020-07-12_final
2020-07-22 10:55:47	ga_s2am_ard_3-2-1_52JGM_2020-07-22_final
2020-08-01 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-08-01_final
2020-08-11 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-08-11_final
2020-08-21 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-08-21_final
2020-08-31 10:55:47	ga_s2am_ard_3-2-1_52JGM_2020-08-31_final
2020-12-19 10:55:40	ga_s2am_ard_3-2-1_52JGM_2020-12-19_final
2021-02-17 10:55:41	ga_s2am_ard_3-2-1_52JGM_2021-02-17_final
2021-02-27 10:55:42	ga_s2am_ard_3-2-1_52JGM_2021-02-27_final
2021-03-09 10:55:42	ga_s2am_ard_3-2-1_52JGM_2021-03-09_final
2021-03-19 10:55:41	ga_s2am_ard_3-2-1_52JGM_2021-03-19_final
2021-03-29 10:55:40	ga_s2am_ard_3-2-1_52JGM_2021-03-29_final
2021-04-18 10:55:36	ga_s2am_ard_3-2-1_52JGM_2021-04-18_final
2022-09-10 10:55:53	ga_s2am_ard_3-2-1_52JGM_2022-09-10_final.stac-item
2022-09-20 10:55:50	ga_s2am_ard_3-2-1_52JGM_2022-09-20_final.stac-item
2022-09-30 10:55:49	ga_s2am_ard_3-2-1_52JGM_2022-09-30_final.stac-item
2022-10-10 10:55:48	ga_s2am_ard_3-2-1_52JGM_2022-10-10_final.stac-item
2022-10-20 10:55:44	ga_s2am_ard_3-2-1_52JGM_2022-10-20_final.stac-item
2022-11-19 10:55:43	ga_s2am_ard_3-2-1_52JGM_2022-11-19_final.stac-item
2022-11-29 10:55:42	ga_s2am_ard_3-2-1_52JGM_2022-11-29_final.stac-item
2022-12-09 10:55:42	ga_s2am_ard_3-2-1_52JGM_2022-12-09_final.stac-item
2022-12-19 10:55:41	ga_s2am_ard_3-2-1_52JGM_2022-12-19_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