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 09:52:33	ga_s2am_ard_3-2-1_55HDC_2017-01-01_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLG_2017-01-07_final.stac-item
2017-01-11 09:54:25	ga_s2am_ard_3-2-1_55HDC_2017-01-11_final
2017-02-10 09:55:49	ga_s2am_ard_3-2-1_55HDC_2017-02-10_final
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HDC_2017-02-20_final
2017-03-02 09:53:37	ga_s2am_ard_3-2-1_55HDC_2017-03-02_final
2017-03-12 09:55:47	ga_s2am_ard_3-2-1_55HDC_2017-03-12_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HWC_2017-03-19_final.stac-item
2017-03-22 09:52:39	ga_s2am_ard_3-2-1_55HDC_2017-03-22_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HWC_2017-03-26_final.stac-item
2017-04-01 09:55:51	ga_s2am_ard_3-2-1_55HDC_2017-04-01_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HWC_2017-04-08_final.stac-item
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_55HDC_2017-04-11_final.stac-item
2017-04-14 10:05:51	ga_s2am_ard_3-2-1_54HVH_2017-04-14_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-04-15_final.stac-item
2017-04-27 10:15:55	ga_s2am_ard_3-2-1_54HVH_2017-04-27_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HWC_2017-04-28_final.stac-item
2017-04-28 11:27:00	ga_s2am_ard_3-2-1_51HWC_2017-04-28_final.stac-item
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55HDC_2017-05-01_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51HWC_2017-05-05_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54HVH_2017-05-07_final
2017-05-07 10:16:23	ga_s2am_ard_3-2-1_54HVH_2017-05-07_final
2017-05-11 09:55:58	ga_s2am_ard_3-2-1_55HDC_2017-05-11_final
2017-05-17 10:15:57	ga_s2am_ard_3-2-1_54HVH_2017-05-17_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51HWC_2017-05-18_final.stac-item
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55HDC_2017-05-21_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51HWC_2017-05-25_final.stac-item
2017-05-31 09:55:57	ga_s2am_ard_3-2-1_55HDC_2017-05-31_final
2017-06-06 10:15:55	ga_s2am_ard_3-2-1_54HVH_2017-06-06_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HWC_2017-06-07_final.stac-item
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HDC_2017-06-10_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51HWC_2017-06-14_final.stac-item
2017-06-20 09:55:54	ga_s2am_ard_3-2-1_55HDC_2017-06-20_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55HDC_2017-06-30_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HWC_2017-07-04_final.stac-item
2017-07-06 10:11:06	ga_s2am_ard_3-2-1_54HVH_2017-07-06_final
2017-07-06 10:16:30	ga_s2am_ard_3-2-1_54HVH_2017-07-06_final
2017-07-10 09:55:55	ga_s2am_ard_3-2-1_55HDC_2017-07-10_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51HWC_2017-07-17_final.stac-item
2017-07-20 09:52:25	ga_s2am_ard_3-2-1_55HDC_2017-07-20_final
2017-07-23 10:05:53	ga_s2am_ard_3-2-1_54HVH_2017-07-23_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51HWC_2017-07-24_final.stac-item
2017-07-26 10:11:08	ga_s2am_ard_3-2-1_54HVH_2017-07-26_final
2017-07-26 10:16:32	ga_s2am_ard_3-2-1_54HVH_2017-07-26_final
2017-07-30 09:55:56	ga_s2am_ard_3-2-1_55HDC_2017-07-30_final
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54HVH_2017-08-02_final
2017-08-05 10:15:55	ga_s2am_ard_3-2-1_54HVH_2017-08-05_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51HWC_2017-08-06_final.stac-item
2017-08-09 09:54:07	ga_s2am_ard_3-2-1_55HDC_2017-08-09_final
2017-08-12 10:05:53	ga_s2am_ard_3-2-1_54HVH_2017-08-12_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HLG_2017-08-12_final.stac-item
2017-08-15 10:13:18	ga_s2am_ard_3-2-1_54HVH_2017-08-15_final
2017-08-19 09:55:56	ga_s2am_ard_3-2-1_55HDC_2017-08-19_final
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54HVH_2017-08-22_final
2017-08-25 10:15:54	ga_s2am_ard_3-2-1_54HVH_2017-08-25_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51HWC_2017-08-26_final.stac-item
2017-09-01 10:05:52	ga_s2am_ard_3-2-1_54HVH_2017-09-01_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-09-02_final.stac-item
2017-09-08 09:55:53	ga_s2am_ard_3-2-1_55HDC_2017-09-08_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_54HVH_2017-09-11_final
2017-09-14 10:15:51	ga_s2am_ard_3-2-1_54HVH_2017-09-14_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HWC_2017-09-15_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_55HDC_2017-09-18_final
2017-09-21 10:05:47	ga_s2am_ard_3-2-1_54HVH_2017-09-21_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HLG_2017-09-21_final.stac-item
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_51HWC_2017-09-22_final.stac-item
2017-09-24 10:13:12	ga_s2am_ard_3-2-1_54HVH_2017-09-24_final
2017-09-28 09:55:51	ga_s2am_ard_3-2-1_55HDC_2017-09-28_final
2017-10-01 10:03:26	ga_s2am_ard_3-2-1_54HVH_2017-10-01_final
2017-10-04 10:15:51	ga_s2am_ard_3-2-1_54HVH_2017-10-04_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HWC_2017-10-05_final.stac-item
2017-10-08 09:54:14	ga_s2am_ard_3-2-1_55HDC_2017-10-08_final
2017-10-11 10:05:50	ga_s2am_ard_3-2-1_54HVH_2017-10-11_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HLG_2017-10-11_final.stac-item
2017-10-14 10:13:15	ga_s2am_ard_3-2-1_54HVH_2017-10-14_final
2017-10-18 09:55:54	ga_s2am_ard_3-2-1_55HDC_2017-10-18_final
2017-10-21 10:03:33	ga_s2am_ard_3-2-1_54HVH_2017-10-21_final
2017-10-24 10:15:53	ga_s2am_ard_3-2-1_54HVH_2017-10-24_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51HWC_2017-10-25_final.stac-item
2017-10-28 09:54:38	ga_s2am_ard_3-2-1_55HDC_2017-10-28_final
2017-10-31 10:05:51	ga_s2am_ard_3-2-1_54HVH_2017-10-31_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-11-01_final.stac-item
2017-11-03 10:13:41	ga_s2am_ard_3-2-1_54HVH_2017-11-03_final
2017-11-07 09:55:58	ga_s2am_ard_3-2-1_55HDC_2017-11-07_final
2017-11-10 10:03:54	ga_s2am_ard_3-2-1_54HVH_2017-11-10_final
2017-11-13 10:15:52	ga_s2am_ard_3-2-1_54HVH_2017-11-13_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HWC_2017-11-14_final.stac-item
2017-11-17 09:54:36	ga_s2am_ard_3-2-1_55HDC_2017-11-17_final
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HVH_2017-11-20_final
2017-11-23 10:11:27	ga_s2am_ard_3-2-1_54HVH_2017-11-23_final
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HDC_2017-11-27_final
2017-12-06 10:23:23	ga_s2am_ard_3-2-1_54HUG_2017-12-06_final
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HDC_2017-12-07_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HWC_2017-12-11_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HUG_2017-12-13_final
2017-12-16 10:26:32	ga_s2am_ard_3-2-1_54HUG_2017-12-16_final
2017-12-17 09:55:49	ga_s2am_ard_3-2-1_55HDC_2017-12-17_final
2017-12-23 10:16:13	ga_s2am_ard_3-2-1_54HUG_2017-12-23_final
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54HUG_2017-12-26_final
2017-12-27 09:52:51	ga_s2am_ard_3-2-1_55HDC_2017-12-27_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