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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50KRV_2015-10-22_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50KRV_2015-11-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50KRV_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KRV_2016-01-20_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50KRV_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRV_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KRV_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KRV_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50KRV_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KRV_2016-05-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50KRV_2016-07-08_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50KRV_2016-07-28_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50KRV_2016-08-17_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50KRV_2016-09-06_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_51KZQ_2016-09-17_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KRV_2016-09-26_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_51KZQ_2016-09-27_final.stac-item
2016-10-07 11:12:10	ga_s2am_ard_3-2-1_51KZQ_2016-10-07_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50KRV_2016-10-16_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51KZQ_2016-10-17_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50KRV_2016-10-26_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_51KZQ_2016-10-27_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50KRV_2016-11-05_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRV_2016-11-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50KRV_2016-12-15_final
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51KZQ_2016-12-16_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KRV_2016-12-25_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_51KZQ_2016-12-26_final
2017-01-05 11:13:24	ga_s2am_ard_3-2-1_51KZQ_2017-01-05_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRV_2017-01-14_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_51KZQ_2017-01-15_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRV_2017-01-24_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51KZQ_2017-01-25_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50KRV_2017-02-03_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_51KZQ_2017-02-04_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KRV_2017-02-13_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_51KZQ_2017-02-14_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_51KZQ_2017-02-24_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50KRV_2017-03-05_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51KZQ_2017-03-06_final
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_51KZQ_2017-03-16_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KRV_2017-03-25_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51KZQ_2017-03-26_final
2017-04-05 11:12:44	ga_s2am_ard_3-2-1_51KZQ_2017-04-05_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50KRV_2017-04-14_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51KZQ_2017-04-15_final
2017-04-25 11:12:56	ga_s2am_ard_3-2-1_51KZQ_2017-04-25_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_50KRV_2017-05-04_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51KZQ_2017-05-05_final
2017-05-15 11:12:18	ga_s2am_ard_3-2-1_51KZQ_2017-05-15_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_50KRV_2017-05-24_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51KZQ_2017-05-25_final
2017-06-04 11:12:17	ga_s2am_ard_3-2-1_51KZQ_2017-06-04_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50KRV_2017-06-13_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51KZQ_2017-06-14_final
2017-06-24 11:12:13	ga_s2am_ard_3-2-1_51KZQ_2017-06-24_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50KRV_2017-07-03_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2017-07-04_final
2017-07-14 11:12:15	ga_s2am_ard_3-2-1_51KZQ_2017-07-14_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_50KRV_2017-07-23_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51KZQ_2017-07-24_final
2017-08-03 11:12:16	ga_s2am_ard_3-2-1_51KZQ_2017-08-03_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50KRV_2017-08-12_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51KZQ_2017-08-13_final
2017-08-23 11:12:16	ga_s2am_ard_3-2-1_51KZQ_2017-08-23_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50KRV_2017-09-01_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51KZQ_2017-09-02_final
2017-09-12 11:13:14	ga_s2am_ard_3-2-1_51KZQ_2017-09-12_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50KRV_2017-09-21_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_51KZQ_2017-09-22_final
2017-10-02 11:12:12	ga_s2am_ard_3-2-1_51KZQ_2017-10-02_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50KRV_2017-10-11_final
2017-10-12 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2017-10-12_final
2017-10-22 11:12:14	ga_s2am_ard_3-2-1_51KZQ_2017-10-22_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50KRV_2017-10-31_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51KZQ_2017-11-01_final
2017-11-11 11:12:13	ga_s2am_ard_3-2-1_51KZQ_2017-11-11_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KRV_2017-11-20_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51KZQ_2017-11-21_final
2017-12-01 11:13:25	ga_s2am_ard_3-2-1_51KZQ_2017-12-01_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50KRV_2017-12-10_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRV_2017-12-30_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KRV_2018-01-19_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KRV_2018-02-08_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KRV_2018-02-18_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_50KRV_2018-02-28_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50KRV_2018-03-10_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_50KRV_2018-03-20_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRV_2018-03-30_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50KRV_2018-04-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50KRV_2018-04-19_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KRV_2018-04-29_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_50KRV_2018-05-09_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRV_2018-05-19_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KRV_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRV_2018-06-08_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_50KRV_2018-06-18_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRV_2018-06-28_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50KRV_2018-07-08_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50KRV_2018-07-18_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