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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMP_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMP_2015-12-04_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JMP_2016-01-03_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JMP_2016-02-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMP_2016-03-03_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMP_2016-04-02_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JMP_2016-05-22_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMP_2016-06-11_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JMP_2016-07-01_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMP_2016-07-21_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JMP_2016-08-10_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JMP_2016-08-30_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMP_2016-09-19_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMP_2016-10-09_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JMP_2016-10-29_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JMP_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMP_2016-11-28_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JMP_2016-12-08_final
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JMP_2016-12-08_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JMP_2016-12-28_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JMP_2017-01-07_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JMP_2017-02-16_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JMP_2017-02-26_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JMP_2017-03-18_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMP_2017-04-07_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMP_2017-04-27_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JMP_2017-05-17_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JMP_2017-06-06_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JMP_2017-06-26_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JMP_2017-07-16_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JMP_2017-08-05_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JMP_2017-08-25_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMP_2017-09-14_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JMP_2017-10-04_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JMP_2017-10-24_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JMP_2017-11-13_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMP_2017-12-03_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JMP_2017-12-23_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JMP_2018-01-12_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JMP_2018-02-01_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JMP_2018-02-11_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JMP_2018-02-21_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMP_2018-03-03_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JMP_2018-03-13_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JMP_2018-03-23_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JMP_2018-04-02_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JMP_2018-04-12_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JMP_2018-04-22_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMP_2018-05-02_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JMP_2018-05-12_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMP_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMP_2018-06-01_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JMP_2018-06-11_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMP_2018-06-21_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JMP_2018-07-01_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JMP_2018-07-11_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JMP_2018-07-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JMP_2018-07-31_final
2020-01-12 11:55:33	ga_s2am_ard_3-2-1_50JMP_2020-01-12_final
2020-01-22 11:55:32	ga_s2am_ard_3-2-1_50JMP_2020-01-22_final
2020-02-01 11:55:31	ga_s2am_ard_3-2-1_50JMP_2020-02-01_final
2020-02-11 11:55:31	ga_s2am_ard_3-2-1_50JMP_2020-02-11_final
2020-02-21 11:55:33	ga_s2am_ard_3-2-1_50JMP_2020-02-21_final
2020-03-02 11:55:34	ga_s2am_ard_3-2-1_50JMP_2020-03-02_final
2020-03-12 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-12_final
2020-03-22 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-22_final
2020-04-01 11:55:34	ga_s2am_ard_3-2-1_50JMP_2020-04-01_final
2020-04-21 11:55:40	ga_s2am_ard_3-2-1_50JMP_2020-04-21_final
2020-05-01 11:55:42	ga_s2am_ard_3-2-1_50JMP_2020-05-01_final
2020-05-21 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-05-21_final
2020-05-31 11:55:45	ga_s2am_ard_3-2-1_50JMP_2020-05-31_final
2020-06-10 11:55:45	ga_s2am_ard_3-2-1_50JMP_2020-06-10_final
2020-06-20 11:55:45	ga_s2am_ard_3-2-1_50JMP_2020-06-20_final
2020-07-10 11:55:43	ga_s2am_ard_3-2-1_50JMP_2020-07-10_final
2020-07-20 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-07-20_final
2020-08-09 11:55:45	ga_s2am_ard_3-2-1_50JMP_2020-08-09_final
2020-08-19 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-08-19_final
2020-08-29 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-08-29_final
2020-09-08 11:55:43	ga_s2am_ard_3-2-1_50JMP_2020-09-08_final
2020-09-18 11:55:43	ga_s2am_ard_3-2-1_50JMP_2020-09-18_final
2020-09-28 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-09-28_final
2020-10-08 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-10-08_final
2020-10-18 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-10-18_final
2020-10-28 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-10-28_final
2020-11-07 11:55:43	ga_s2am_ard_3-2-1_50JMP_2020-11-07_final
2020-11-17 11:55:42	ga_s2am_ard_3-2-1_50JMP_2020-11-17_final
2020-11-27 11:55:39	ga_s2am_ard_3-2-1_50JMP_2020-11-27_final
2020-12-07 11:55:36	ga_s2am_ard_3-2-1_50JMP_2020-12-07_final
2020-12-17 11:55:36	ga_s2am_ard_3-2-1_50JMP_2020-12-17_final
2020-12-27 11:55:38	ga_s2am_ard_3-2-1_50JMP_2020-12-27_final
2021-01-06 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-06_final
2021-01-16 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-16_final
2021-01-26 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-26_final
2021-02-05 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-02-05_final
2021-02-15 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-02-15_final
2021-02-25 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-02-25_final
2021-03-07 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-03-07_final
2021-03-17 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-03-17_final
2021-03-27 11:55:37	ga_s2am_ard_3-2-1_50JMP_2021-03-27_final
2021-04-06 11:55:35	ga_s2am_ard_3-2-1_50JMP_2021-04-06_final

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