Search ga_s2am_ard_3 across 2017

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
2017-01-01 09:57:25	ga_s2am_ard_3-2-1_54HYB_2017-01-01_final
2017-01-04 10:04:10	ga_s2am_ard_3-2-1_55JBJ_2017-01-04_final
2017-01-11 09:54:25	ga_s2am_ard_3-2-1_54HYB_2017-01-11_final
2017-01-14 10:03:57	ga_s2am_ard_3-2-1_55JBJ_2017-01-14_final
2017-01-18 09:42:50	ga_s2am_ard_3-2-1_54HYB_2017-01-18_final
2017-01-18 09:47:42	ga_s2am_ard_3-2-1_54HYB_2017-01-18_final
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_54HYB_2017-01-28_final
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_54HYB_2017-02-07_final
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_55JBJ_2017-02-13_final
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_54HYB_2017-02-17_final
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_54HYB_2017-02-20_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55JBJ_2017-02-23_final
2017-03-02 09:53:37	ga_s2am_ard_3-2-1_54HYB_2017-03-02_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_54HYB_2017-03-09_final
2017-03-15 10:01:07	ga_s2am_ard_3-2-1_55JBJ_2017-03-15_final
2017-03-22 09:52:39	ga_s2am_ard_3-2-1_54HYB_2017-03-22_final
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_54HYB_2017-03-29_final.stac-item
2017-04-04 10:01:13	ga_s2am_ard_3-2-1_55JBJ_2017-04-04_final
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_54HYB_2017-04-11_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_54HYB_2017-04-18_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55JBJ_2017-04-24_final.stac-item
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_54HYB_2017-05-01_final
2017-05-08 09:47:14	ga_s2am_ard_3-2-1_54HYB_2017-05-08_final
2017-05-14 10:01:19	ga_s2am_ard_3-2-1_55JBJ_2017-05-14_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_54HYB_2017-05-21_final
2017-05-28 09:47:22	ga_s2am_ard_3-2-1_54HYB_2017-05-28_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_55JBJ_2017-06-03_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HYB_2017-06-10_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_54HYB_2017-06-17_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_55JBJ_2017-06-23_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HFS_2017-06-24_final.stac-item
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_54HYB_2017-06-30_final
2017-07-01 09:24:38	ga_s2am_ard_3-2-1_55HFS_2017-06-30_final.stac-item
2017-07-07 09:47:04	ga_s2am_ard_3-2-1_54HYB_2017-07-07_final
2017-07-13 10:01:17	ga_s2am_ard_3-2-1_55JBJ_2017-07-13_final
2017-07-14 09:37:10	ga_s2am_ard_3-2-1_55HFS_2017-07-14_final.stac-item
2017-07-20 09:52:25	ga_s2am_ard_3-2-1_54HYB_2017-07-20_final
2017-07-20 09:57:54	ga_s2am_ard_3-2-1_54HYB_2017-07-20_final
2017-07-21 09:25:03	ga_s2am_ard_3-2-1_55HFS_2017-07-20_final.stac-item
2017-07-27 09:46:19	ga_s2am_ard_3-2-1_54HYB_2017-07-27_final
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HYH_2017-08-02_final
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_55JBJ_2017-08-02_final
2017-08-09 09:54:07	ga_s2am_ard_3-2-1_54HYB_2017-08-09_final
2017-08-12 10:05:53	ga_s2am_ard_3-2-1_54HYH_2017-08-12_final
2017-08-13 09:32:19	ga_s2am_ard_3-2-1_56JKP_2017-08-13_final
2017-08-16 09:43:54	ga_s2am_ard_3-2-1_54HYB_2017-08-16_final
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54HYH_2017-08-22_final
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_55JBJ_2017-08-22_final
2017-08-23 09:32:19	ga_s2am_ard_3-2-1_55HFS_2017-08-23_final.stac-item
2017-08-23 09:37:40	ga_s2am_ard_3-2-1_55HFS_2017-08-23_final.stac-item
2017-08-30 09:26:14	ga_s2am_ard_3-2-1_55HFS_2017-08-29_final.stac-item
2017-09-01 10:05:52	ga_s2am_ard_3-2-1_54HYH_2017-09-01_final
2017-09-05 09:43:53	ga_s2am_ard_3-2-1_54HYB_2017-09-05_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_54HYH_2017-09-11_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_55JBJ_2017-09-11_final
2017-09-12 09:33:18	ga_s2am_ard_3-2-1_55HFS_2017-09-12_final.stac-item
2017-09-12 09:33:18	ga_s2am_ard_3-2-1_56JKP_2017-09-12_final
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_54HYB_2017-09-18_final
2017-09-19 09:22:41	ga_s2am_ard_3-2-1_55HFS_2017-09-18_final.stac-item
2017-09-21 10:05:47	ga_s2am_ard_3-2-1_54HYH_2017-09-21_final
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_54HYB_2017-09-25_final
2017-10-01 10:03:26	ga_s2am_ard_3-2-1_54HYH_2017-10-01_final
2017-10-01 10:03:26	ga_s2am_ard_3-2-1_55JBJ_2017-10-01_final
2017-10-02 09:32:37	ga_s2am_ard_3-2-1_55HFS_2017-10-02_final.stac-item
2017-10-08 09:54:14	ga_s2am_ard_3-2-1_54HYB_2017-10-08_final
2017-10-09 09:22:43	ga_s2am_ard_3-2-1_55HFS_2017-10-08_final.stac-item
2017-10-11 10:05:50	ga_s2am_ard_3-2-1_54HYH_2017-10-11_final
2017-10-12 09:32:39	ga_s2am_ard_3-2-1_56JKP_2017-10-12_final
2017-10-15 09:44:55	ga_s2am_ard_3-2-1_54HYB_2017-10-15_final
2017-10-21 10:03:33	ga_s2am_ard_3-2-1_54HYH_2017-10-21_final
2017-10-21 10:03:33	ga_s2am_ard_3-2-1_55JBJ_2017-10-21_final
2017-10-22 09:32:39	ga_s2am_ard_3-2-1_55HFS_2017-10-22_final.stac-item
2017-10-22 09:32:39	ga_s2am_ard_3-2-1_56JKP_2017-10-22_final
2017-10-28 09:54:38	ga_s2am_ard_3-2-1_54HYB_2017-10-28_final
2017-10-29 09:22:44	ga_s2am_ard_3-2-1_55HFS_2017-10-28_final.stac-item
2017-10-31 10:05:51	ga_s2am_ard_3-2-1_54HYH_2017-10-31_final
2017-11-01 09:32:39	ga_s2am_ard_3-2-1_56JKP_2017-11-01_final
2017-11-04 09:44:55	ga_s2am_ard_3-2-1_54HYB_2017-11-04_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HYH_2017-11-10_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_55JBJ_2017-11-10_final
2017-11-11 09:32:38	ga_s2am_ard_3-2-1_55HFS_2017-11-11_final.stac-item
2017-11-17 09:54:36	ga_s2am_ard_3-2-1_54HYB_2017-11-17_final
2017-11-18 09:23:54	ga_s2am_ard_3-2-1_55HFS_2017-11-17_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HYH_2017-11-20_final
2017-11-21 09:33:52	ga_s2am_ard_3-2-1_56JKP_2017-11-21_final
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_54HYB_2017-11-24_final
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_55JBJ_2017-11-30_final
2017-12-01 09:32:34	ga_s2am_ard_3-2-1_55HFS_2017-12-01_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_54HYB_2017-12-07_final
2017-12-08 09:23:51	ga_s2am_ard_3-2-1_55HFS_2017-12-07_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HYH_2017-12-10_final
2017-12-11 09:34:30	ga_s2am_ard_3-2-1_56JKP_2017-12-11_final
2017-12-14 09:42:44	ga_s2am_ard_3-2-1_54HYB_2017-12-14_final
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HYH_2017-12-20_final
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_55JBJ_2017-12-20_final
2017-12-21 09:32:34	ga_s2am_ard_3-2-1_55HFS_2017-12-21_final.stac-item
2017-12-21 09:32:34	ga_s2am_ard_3-2-1_56JKP_2017-12-21_final
2017-12-27 09:52:51	ga_s2am_ard_3-2-1_54HYB_2017-12-27_final
2017-12-28 09:23:50	ga_s2am_ard_3-2-1_55HFS_2017-12-27_final.stac-item
2017-12-30 10:05:52	ga_s2am_ard_3-2-1_54HYH_2017-12-30_final

Return to ga_s2am_ard_3 across 2017 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

2017

All months