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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HTC_2015-11-25_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51HTC_2015-12-08_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HTC_2015-12-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51HTC_2016-01-07_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HTC_2016-02-06_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTC_2016-03-07_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51HTC_2016-04-06_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HTC_2016-04-23_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HTC_2016-05-03_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HTC_2016-05-16_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HTC_2016-06-05_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HTC_2016-06-25_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51HTC_2016-07-02_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51HTC_2016-07-15_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HTC_2016-08-04_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HTC_2016-08-31_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTC_2016-09-13_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HTC_2016-10-03_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51HTC_2016-10-10_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51HTC_2016-10-23_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51HTC_2016-11-02_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51HTC_2016-11-12_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51HTC_2016-11-19_final
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51HTC_2016-11-22_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51HTC_2016-11-29_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51HTC_2016-12-09_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTC_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTC_2016-12-22_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51HTC_2017-01-01_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HTC_2017-01-18_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HTC_2017-01-31_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTC_2017-02-10_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HTC_2017-02-17_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_51HTC_2017-02-20_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HTC_2017-02-27_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51HTC_2017-03-12_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HTC_2017-03-19_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_51HTC_2017-04-01_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51HTC_2017-04-21_final
2017-04-28 11:27:00	ga_s2am_ard_3-2-1_51HTC_2017-04-28_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTC_2017-05-11_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51HTC_2017-05-18_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51HTC_2017-05-31_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HTC_2017-06-07_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_51HTC_2017-06-20_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_51HTC_2017-07-10_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51HTC_2017-07-30_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_51HTC_2017-08-19_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51HTC_2017-09-08_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HTC_2017-09-28_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HTC_2017-10-05_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_51HTC_2017-10-18_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51HTC_2017-10-25_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51HTC_2017-11-07_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HTC_2017-11-14_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HTC_2017-11-27_final
2019-04-21 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-04-21_final
2019-05-01 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-05-01_final
2019-05-11 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-05-11_final
2019-05-18 11:27:11	ga_s2am_ard_3-2-1_51HTC_2019-05-18_final
2019-05-28 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-05-28_final
2019-05-31 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-05-31_final
2019-06-10 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-06-10_final
2019-06-17 11:27:11	ga_s2am_ard_3-2-1_51HTC_2019-06-17_final
2019-06-20 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-06-20_final
2019-06-27 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-06-27_final
2019-06-30 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-06-30_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-07-17 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-17_final
2019-07-20 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-20_final
2019-07-27 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-27_final
2019-08-09 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-08-09_final
2019-08-16 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-08-16_final
2019-08-19 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-08-19_final
2019-08-26 11:27:09	ga_s2am_ard_3-2-1_51HTC_2019-08-26_final
2019-08-29 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-08-29_final
2019-09-08 11:37:00	ga_s2am_ard_3-2-1_51HTC_2019-09-08_final
2019-09-15 11:27:06	ga_s2am_ard_3-2-1_51HTC_2019-09-15_final
2019-09-18 11:37:00	ga_s2am_ard_3-2-1_51HTC_2019-09-18_final
2019-09-25 11:27:08	ga_s2am_ard_3-2-1_51HTC_2019-09-25_final
2019-09-28 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-09-28_final
2019-10-05 11:27:09	ga_s2am_ard_3-2-1_51HTC_2019-10-05_final
2019-10-08 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-10-08_final
2019-10-15 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-10-15_final
2019-10-18 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-10-18_final
2019-10-25 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-10-25_final
2019-10-28 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-10-28_final
2019-11-04 11:27:10	ga_s2am_ard_3-2-1_51HTC_2019-11-04_final
2019-11-07 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-11-07_final
2019-11-14 11:27:09	ga_s2am_ard_3-2-1_51HTC_2019-11-14_final
2019-11-17 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-11-17_final
2019-11-24 11:27:08	ga_s2am_ard_3-2-1_51HTC_2019-11-24_final
2019-11-27 11:37:01	ga_s2am_ard_3-2-1_51HTC_2019-11-27_final
2019-12-07 11:36:58	ga_s2am_ard_3-2-1_51HTC_2019-12-07_final
2019-12-17 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-17_final
2019-12-24 11:27:02	ga_s2am_ard_3-2-1_51HTC_2019-12-24_final
2019-12-27 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2019-12-27 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2020-01-06 11:36:48	ga_s2am_ard_3-2-1_51HTC_2020-01-06_final
2020-01-06 11:36:55	ga_s2am_ard_3-2-1_51HTC_2020-01-06_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