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
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55KFP_2017-04-18_final.stac-item
2017-04-21 09:51:06	ga_s2am_ard_3-2-1_55KFP_2017-04-21_final.stac-item
2017-04-28 09:43:13	ga_s2am_ard_3-2-1_55KFP_2017-04-28_final
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55KFP_2017-05-01_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55KFP_2017-05-08_final
2017-05-11 09:51:08	ga_s2am_ard_3-2-1_55KFP_2017-05-11_final
2017-05-18 09:42:16	ga_s2am_ard_3-2-1_55KFP_2017-05-18_final
2017-05-18 09:43:25	ga_s2am_ard_3-2-1_55KFP_2017-05-18_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55KFP_2017-05-21_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55KFP_2017-05-28_final
2017-05-31 09:51:08	ga_s2am_ard_3-2-1_55KFP_2017-05-31_final
2017-06-07 09:42:14	ga_s2am_ard_3-2-1_55KFP_2017-06-07_final
2017-06-07 09:43:23	ga_s2am_ard_3-2-1_55KFP_2017-06-07_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55KFP_2017-06-10_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55KFP_2017-06-17_final
2017-06-20 09:51:05	ga_s2am_ard_3-2-1_55KFP_2017-06-20_final
2017-06-27 09:42:11	ga_s2am_ard_3-2-1_55KFP_2017-06-27_final
2017-06-27 09:43:20	ga_s2am_ard_3-2-1_55KFP_2017-06-27_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55KFP_2017-06-30_final
2017-07-07 09:42:12	ga_s2am_ard_3-2-1_55KFP_2017-07-07_final
2017-07-10 09:51:05	ga_s2am_ard_3-2-1_55KFP_2017-07-10_final
2017-07-17 09:42:14	ga_s2am_ard_3-2-1_55KFP_2017-07-17_final
2017-07-17 09:43:23	ga_s2am_ard_3-2-1_55KFP_2017-07-17_final
2017-07-20 09:52:25	ga_s2am_ard_3-2-1_55KFP_2017-07-20_final
2017-07-27 09:42:14	ga_s2am_ard_3-2-1_55KFP_2017-07-27_final
2017-07-30 09:51:07	ga_s2am_ard_3-2-1_55KFP_2017-07-30_final
2017-08-06 09:42:14	ga_s2am_ard_3-2-1_55KFP_2017-08-06_final
2017-08-09 09:51:07	ga_s2am_ard_3-2-1_55KFP_2017-08-09_final
2017-08-16 09:37:32	ga_s2am_ard_3-2-1_55KFP_2017-08-16_final
2017-08-19 09:52:15	ga_s2am_ard_3-2-1_55KFP_2017-08-19_final
2017-08-26 09:41:04	ga_s2am_ard_3-2-1_55KFP_2017-08-26_final
2017-09-05 09:37:31	ga_s2am_ard_3-2-1_55KFP_2017-09-05_final
2017-09-08 09:51:51	ga_s2am_ard_3-2-1_55KFP_2017-09-08_final
2017-09-15 09:41:36	ga_s2am_ard_3-2-1_55KFP_2017-09-15_final
2017-09-18 09:51:01	ga_s2am_ard_3-2-1_55KFP_2017-09-18_final
2017-09-25 09:41:05	ga_s2am_ard_3-2-1_55KFP_2017-09-25_final
2017-09-28 09:52:00	ga_s2am_ard_3-2-1_55KFP_2017-09-28_final
2017-10-05 09:41:06	ga_s2am_ard_3-2-1_55KFP_2017-10-05_final
2017-10-08 09:50:52	ga_s2am_ard_3-2-1_55KFP_2017-10-08_final
2017-10-15 09:41:08	ga_s2am_ard_3-2-1_55KFP_2017-10-15_final
2017-10-18 09:52:02	ga_s2am_ard_3-2-1_55KFP_2017-10-18_final
2017-10-25 09:41:08	ga_s2am_ard_3-2-1_55KFP_2017-10-25_final
2017-10-28 09:50:54	ga_s2am_ard_3-2-1_55KFP_2017-10-28_final
2017-11-04 09:41:08	ga_s2am_ard_3-2-1_55KFP_2017-11-04_final
2017-11-07 09:50:53	ga_s2am_ard_3-2-1_55KFP_2017-11-07_final
2017-11-14 09:41:07	ga_s2am_ard_3-2-1_55KFP_2017-11-14_final
2017-11-17 09:50:52	ga_s2am_ard_3-2-1_55KFP_2017-11-17_final
2021-04-20 09:53:24	ga_s2am_ard_3-2-1_55KFP_2021-04-20_final
2021-04-27 09:43:31	ga_s2am_ard_3-2-1_55KFP_2021-04-27_final
2021-04-30 09:53:27	ga_s2am_ard_3-2-1_55KFP_2021-04-30_final
2021-05-07 09:43:33	ga_s2am_ard_3-2-1_55KFP_2021-05-07_final
2021-05-10 09:53:28	ga_s2am_ard_3-2-1_55KFP_2021-05-10_final
2021-05-17 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-05-17_final
2021-05-20 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-05-20_final
2021-05-27 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-05-27_final
2021-05-30 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-05-30_final
2021-06-06 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-06-06_final
2021-06-09 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-06-09_final
2021-06-16 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-06-16_final
2021-06-19 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-06-19_final
2021-06-26 09:43:36	ga_s2am_ard_3-2-1_55KFP_2021-06-26_final
2021-06-29 09:53:31	ga_s2am_ard_3-2-1_55KFP_2021-06-29_final
2021-07-06 09:43:37	ga_s2am_ard_3-2-1_55KFP_2021-07-06_final
2021-07-09 09:53:32	ga_s2am_ard_3-2-1_55KFP_2021-07-09_final
2021-07-16 09:43:38	ga_s2am_ard_3-2-1_55KFP_2021-07-16_final
2021-07-19 09:53:33	ga_s2am_ard_3-2-1_55KFP_2021-07-19_final
2021-07-26 09:43:38	ga_s2am_ard_3-2-1_55KFP_2021-07-26_final
2021-07-29 09:53:33	ga_s2am_ard_3-2-1_55KFP_2021-07-29_final
2021-08-05 09:43:37	ga_s2am_ard_3-2-1_55KFP_2021-08-05_final
2021-08-08 09:53:32	ga_s2am_ard_3-2-1_55KFP_2021-08-08_final
2021-08-15 09:43:37	ga_s2am_ard_3-2-1_55KFP_2021-08-15_final
2021-08-18 09:53:32	ga_s2am_ard_3-2-1_55KFP_2021-08-18_final
2021-08-25 09:43:36	ga_s2am_ard_3-2-1_55KFP_2021-08-25_final
2021-08-28 09:53:31	ga_s2am_ard_3-2-1_55KFP_2021-08-28_final
2021-09-04 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-09-04_final
2021-09-07 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-09-07_final
2021-09-14 09:43:36	ga_s2am_ard_3-2-1_55KFP_2021-09-14_final
2021-09-17 09:53:31	ga_s2am_ard_3-2-1_55KFP_2021-09-17_final
2021-09-24 09:43:38	ga_s2am_ard_3-2-1_55KFP_2021-09-24_final
2021-09-27 09:53:33	ga_s2am_ard_3-2-1_55KFP_2021-09-27_final
2021-10-04 09:43:39	ga_s2am_ard_3-2-1_55KFP_2021-10-04_final
2021-10-07 09:53:34	ga_s2am_ard_3-2-1_55KFP_2021-10-07_final
2021-10-14 09:43:40	ga_s2am_ard_3-2-1_55KFP_2021-10-14_final
2021-10-17 09:53:35	ga_s2am_ard_3-2-1_55KFP_2021-10-17_final
2021-10-24 09:43:40	ga_s2am_ard_3-2-1_55KFP_2021-10-24_final
2021-10-27 09:53:34	ga_s2am_ard_3-2-1_55KFP_2021-10-27_final
2021-11-03 09:43:38	ga_s2am_ard_3-2-1_55KFP_2021-11-03_final
2021-11-06 09:53:33	ga_s2am_ard_3-2-1_55KFP_2021-11-06_final
2021-11-13 09:43:36	ga_s2am_ard_3-2-1_55KFP_2021-11-13_final
2021-11-16 09:53:30	ga_s2am_ard_3-2-1_55KFP_2021-11-16_final
2021-11-23 09:43:35	ga_s2am_ard_3-2-1_55KFP_2021-11-23_final
2021-11-26 09:53:29	ga_s2am_ard_3-2-1_55KFP_2021-11-26_final
2021-12-03 09:43:34	ga_s2am_ard_3-2-1_55KFP_2021-12-03_final
2021-12-06 09:53:28	ga_s2am_ard_3-2-1_55KFP_2021-12-06_final
2021-12-13 09:43:34	ga_s2am_ard_3-2-1_55KFP_2021-12-13_final
2021-12-16 09:53:29	ga_s2am_ard_3-2-1_55KFP_2021-12-16_final
2022-05-12 09:43:38	ga_s2am_ard_3-2-1_55KFP_2022-05-12_final
2022-05-15 09:53:34	ga_s2am_ard_3-2-1_55KFP_2022-05-15_final
2022-06-14 09:53:40	ga_s2am_ard_3-2-1_55KFP_2022-06-14_final
2022-07-31 09:43:44	ga_s2am_ard_3-2-1_55KFP_2022-07-31_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