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
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JVG_2016-06-25_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JVG_2016-08-24_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51JVG_2016-11-19_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51JVG_2017-03-12_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVG_2017-03-19_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51JVG_2017-05-11_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51JVG_2017-05-31_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JVG_2017-06-27_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51JVG_2017-07-17_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51JVG_2017-08-06_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51JVG_2017-08-26_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JVG_2017-09-15_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51JVG_2017-10-25_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JVG_2017-11-14_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVG_2017-12-04_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JVG_2017-12-24_final
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51JVG_2018-01-13_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JVG_2018-02-02_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JVG_2018-02-12_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JVG_2018-02-22_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JVG_2018-03-04_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51JVG_2018-03-14_final
2018-03-24 11:24:03	ga_s2am_ard_3-2-1_51JVG_2018-03-24_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51JVG_2018-04-03_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51JVG_2018-04-06_final.stac-item
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51JVG_2018-04-13_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JVG_2018-04-23_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51JVG_2018-05-13_final
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51JVG_2018-05-23_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JVG_2018-06-02_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JVG_2018-06-12_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51JVG_2018-06-22_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51JVG_2018-06-22_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JVG_2018-07-02_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51JVG_2018-07-12_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JVG_2018-07-22_final
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51JVG_2018-08-01_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51JVG_2018-08-11_final
2018-08-11 11:25:57	ga_s2am_ard_3-2-1_51JVG_2018-08-11_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51JVG_2018-08-21_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVG_2018-08-31_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51JVG_2018-09-10_final
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JVG_2018-09-20_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVG_2018-09-30_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JVG_2018-10-10_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51JVG_2018-10-20_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51JVG_2018-10-30_final
2018-11-09 11:25:55	ga_s2am_ard_3-2-1_51JVG_2018-11-09_final
2018-11-19 11:25:54	ga_s2am_ard_3-2-1_51JVG_2018-11-19_final
2018-11-29 11:25:51	ga_s2am_ard_3-2-1_51JVG_2018-11-29_final
2018-12-09 11:25:43	ga_s2am_ard_3-2-1_51JVG_2018-12-09_final
2018-12-09 11:25:52	ga_s2am_ard_3-2-1_51JVG_2018-12-09_final
2018-12-22 11:35:48	ga_s2am_ard_3-2-1_51JVG_2018-12-22_final
2019-01-01 11:35:50	ga_s2am_ard_3-2-1_51JVG_2019-01-01_final
2019-01-11 11:35:51	ga_s2am_ard_3-2-1_51JVG_2019-01-11_final
2019-01-21 11:35:52	ga_s2am_ard_3-2-1_51JVG_2019-01-21_final
2019-01-31 11:35:53	ga_s2am_ard_3-2-1_51JVG_2019-01-31_final
2019-02-10 11:35:53	ga_s2am_ard_3-2-1_51JVG_2019-02-10_final
2019-02-20 11:35:52	ga_s2am_ard_3-2-1_51JVG_2019-02-20_final
2019-03-02 11:35:51	ga_s2am_ard_3-2-1_51JVG_2019-03-02_final
2019-03-12 11:35:51	ga_s2am_ard_3-2-1_51JVG_2019-03-12_final
2019-03-22 11:35:54	ga_s2am_ard_3-2-1_51JVG_2019-03-22_final
2019-04-01 11:35:56	ga_s2am_ard_3-2-1_51JVG_2019-04-01_final
2019-04-11 11:35:58	ga_s2am_ard_3-2-1_51JVG_2019-04-11_final
2019-04-21 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-04-21_final
2019-05-01 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-05-01_final
2019-05-11 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-05-11_final
2019-05-21 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-05-21_final
2019-05-31 11:35:58	ga_s2am_ard_3-2-1_51JVG_2019-05-31_final
2019-06-10 11:35:58	ga_s2am_ard_3-2-1_51JVG_2019-06-10_final
2019-06-20 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-06-20_final
2019-06-30 11:36:01	ga_s2am_ard_3-2-1_51JVG_2019-06-30_final
2019-07-10 11:36:01	ga_s2am_ard_3-2-1_51JVG_2019-07-10_final
2019-07-20 11:36:01	ga_s2am_ard_3-2-1_51JVG_2019-07-20_final
2019-07-30 11:36:01	ga_s2am_ard_3-2-1_51JVG_2019-07-30_final
2019-08-09 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-08-09_final
2019-08-19 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-08-19_final
2019-08-29 11:35:57	ga_s2am_ard_3-2-1_51JVG_2019-08-29_final
2019-09-08 11:35:55	ga_s2am_ard_3-2-1_51JVG_2019-09-08_final
2019-09-18 11:35:55	ga_s2am_ard_3-2-1_51JVG_2019-09-18_final
2019-09-28 11:35:57	ga_s2am_ard_3-2-1_51JVG_2019-09-28_final
2019-10-08 11:35:58	ga_s2am_ard_3-2-1_51JVG_2019-10-08_final
2019-10-18 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-10-18_final
2019-10-28 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-10-28_final
2019-11-07 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-11-07_final
2019-11-17 11:35:58	ga_s2am_ard_3-2-1_51JVG_2019-11-17_final
2019-11-27 11:35:56	ga_s2am_ard_3-2-1_51JVG_2019-11-27_final
2019-12-07 11:35:53	ga_s2am_ard_3-2-1_51JVG_2019-12-07_final
2019-12-17 11:35:50	ga_s2am_ard_3-2-1_51JVG_2019-12-17_final
2019-12-27 11:35:50	ga_s2am_ard_3-2-1_51JVG_2019-12-27_final
2020-01-06 11:35:50	ga_s2am_ard_3-2-1_51JVG_2020-01-06_final
2020-01-16 11:35:50	ga_s2am_ard_3-2-1_51JVG_2020-01-16_final
2020-01-26 11:35:42	ga_s2am_ard_3-2-1_51JVG_2020-01-26_final
2020-01-26 11:35:49	ga_s2am_ard_3-2-1_51JVG_2020-01-26_final
2020-02-05 11:35:48	ga_s2am_ard_3-2-1_51JVG_2020-02-05_final
2020-02-15 11:35:49	ga_s2am_ard_3-2-1_51JVG_2020-02-15_final
2020-02-25 11:35:51	ga_s2am_ard_3-2-1_51JVG_2020-02-25_final
2020-03-06 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-03-06_final
2020-03-16 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-03-16_final
2020-03-26 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-03-26_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