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 11:30:38	ga_s2am_ard_3-2-1_51HTE_2017-01-01_final
2017-01-02 09:23:08	ga_s2am_ard_3-2-1_56HLK_2017-01-01_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52HBK_2017-01-02_final.stac-item
2017-01-05 09:32:44	ga_s2am_ard_3-2-1_56HLK_2017-01-05_final
2017-01-08 11:26:18	ga_s2am_ard_3-2-1_51HUE_2017-01-08_final
2017-01-12 09:23:35	ga_s2am_ard_3-2-1_56HLK_2017-01-11_final
2017-01-15 09:32:42	ga_s2am_ard_3-2-1_56HLK_2017-01-15_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52HBK_2017-01-15_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52HBK_2017-01-25_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HTE_2017-01-31_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52HBK_2017-02-01_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52HBK_2017-02-04_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTE_2017-02-10_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52HBK_2017-02-11_final
2017-02-14 09:32:12	ga_s2am_ard_3-2-1_56HLK_2017-02-14_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52HBK_2017-02-14_final
2017-02-14 11:16:18	ga_s2am_ard_3-2-1_52HBK_2017-02-14_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51HTE_2017-02-20_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_51HTE_2017-02-20_final
2017-02-21 09:22:38	ga_s2am_ard_3-2-1_56HLK_2017-02-20_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52HBK_2017-02-21_final
2017-02-24 09:32:12	ga_s2am_ard_3-2-1_56HLK_2017-02-24_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51HTE_2017-03-02_final
2017-03-03 09:24:19	ga_s2am_ard_3-2-1_56HLK_2017-03-02_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52HBK_2017-03-06_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51HTE_2017-03-12_final
2017-03-13 11:02:50	ga_s2am_ard_3-2-1_52HBK_2017-03-13_final
2017-03-16 09:32:09	ga_s2am_ard_3-2-1_56HLK_2017-03-16_final
2017-03-22 11:35:56	ga_s2am_ard_3-2-1_51HTE_2017-03-22_final
2017-03-23 09:22:38	ga_s2am_ard_3-2-1_56HLK_2017-03-22_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_52HBK_2017-03-26_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_51HTE_2017-04-01_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52HBK_2017-04-02_final
2017-04-05 09:32:47	ga_s2am_ard_3-2-1_56HLK_2017-04-05_final.stac-item
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HUE_2017-04-08_final
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_51HTE_2017-04-11_final
2017-04-12 09:22:43	ga_s2am_ard_3-2-1_56HLK_2017-04-11_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52HBK_2017-04-15_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51HTE_2017-04-21_final
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52HBK_2017-04-22_final
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56HLK_2017-04-25_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HUE_2017-04-28_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_51HTE_2017-05-01_final
2017-05-02 09:22:47	ga_s2am_ard_3-2-1_56HLK_2017-05-01_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52HBK_2017-05-05_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTE_2017-05-11_final
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52HBK_2017-05-12_final
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56HLK_2017-05-15_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51HUE_2017-05-18_final
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_51HTE_2017-05-21_final
2017-05-22 09:22:47	ga_s2am_ard_3-2-1_56HLK_2017-05-21_final
2017-05-22 09:25:33	ga_s2am_ard_3-2-1_56HLK_2017-05-21_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52HBK_2017-05-25_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51HTE_2017-05-31_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52HBK_2017-06-01_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_56HLK_2017-06-04_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUE_2017-06-07_final
2017-06-10 11:36:05	ga_s2am_ard_3-2-1_51HTE_2017-06-10_final
2017-06-11 09:22:46	ga_s2am_ard_3-2-1_56HLK_2017-06-10_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52HBK_2017-06-14_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_51HTE_2017-06-20_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52HBK_2017-06-21_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_56HLK_2017-06-24_final
2017-06-30 11:36:02	ga_s2am_ard_3-2-1_51HTE_2017-06-30_final
2017-07-01 09:24:38	ga_s2am_ard_3-2-1_56HLK_2017-06-30_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52HBK_2017-07-04_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_51HTE_2017-07-10_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52HBK_2017-07-11_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51HUE_2017-07-17_final
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_51HTE_2017-07-20_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_52HBK_2017-07-24_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51HTE_2017-07-30_final
2017-07-31 11:03:00	ga_s2am_ard_3-2-1_52HBK_2017-07-31_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51HUE_2017-08-06_final
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_51HTE_2017-08-09_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52HBK_2017-08-13_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51HTE_2017-08-19_final
2017-08-20 11:03:00	ga_s2am_ard_3-2-1_52HBK_2017-08-20_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51HUE_2017-08-26_final
2017-08-29 11:36:08	ga_s2am_ard_3-2-1_51HTE_2017-08-29_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52HBK_2017-09-02_final
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52HBK_2017-09-09_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HUE_2017-09-15_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_52HBK_2017-09-22_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52HBK_2017-09-29_final
2017-10-12 11:12:00	ga_s2am_ard_3-2-1_52HBK_2017-10-12_final
2017-10-19 11:02:58	ga_s2am_ard_3-2-1_52HBK_2017-10-19_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51HUE_2017-10-25_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_52HBK_2017-11-01_final
2017-11-02 10:43:05	ga_s2am_ard_3-2-1_53HKE_2017-11-02_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52HBK_2017-11-08_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HUE_2017-11-14_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_52HBK_2017-11-21_final
2017-11-22 10:43:02	ga_s2am_ard_3-2-1_53HKE_2017-11-22_final.stac-item
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52HBK_2017-11-28_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HUE_2017-12-04_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52HBK_2017-12-11_final
2017-12-12 10:43:01	ga_s2am_ard_3-2-1_53HKE_2017-12-12_final.stac-item
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52HBK_2017-12-18_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51HUE_2017-12-24_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