Search ga_ls8c_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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-04-11 11:50:10	ga_ls8c_ard_3-0-0_114078_2013-04-11_final
2013-04-27 11:47:58	ga_ls8c_ard_3-0-0_114078_2013-04-27_final
2014-03-13 11:46:45	ga_ls8c_ard_3-0-0_114078_2014-03-13_final
2014-03-29 11:46:27	ga_ls8c_ard_3-0-0_114078_2014-03-29_final
2014-04-14 11:46:13	ga_ls8c_ard_3-0-0_114078_2014-04-14_final
2014-09-21 11:46:20	ga_ls8c_ard_3-0-0_114078_2014-09-21_final
2014-11-24 11:46:24	ga_ls8c_ard_3-0-0_114078_2014-11-24_final
2014-12-10 11:46:19	ga_ls8c_ard_3-0-0_114078_2014-12-10_final
2015-01-27 11:46:10	ga_ls8c_ard_3-0-0_114078_2015-01-27_final
2015-03-30 11:56:26	ga_ls8c_ard_3-0-0_116074_2015-03-30_final
2015-05-03 11:45:25	ga_ls8c_ard_3-0-0_114078_2015-05-03_final
2015-05-17 11:56:01	ga_ls8c_ard_3-0-0_116074_2015-05-17_final
2015-06-02 11:56:07	ga_ls8c_ard_3-0-0_116074_2015-06-02_final
2015-06-18 11:56:17	ga_ls8c_ard_3-0-0_116074_2015-06-18_final
2015-07-04 11:56:25	ga_ls8c_ard_3-0-0_116074_2015-07-04_final
2015-07-06 11:45:41	ga_ls8c_ard_3-0-0_114078_2015-07-06_final
2015-07-20 11:56:34	ga_ls8c_ard_3-0-0_116074_2015-07-20_final
2015-08-05 11:56:36	ga_ls8c_ard_3-0-0_116074_2015-08-05_final
2015-08-21 11:56:45	ga_ls8c_ard_3-0-0_116074_2015-08-21_final
2015-09-06 11:56:50	ga_ls8c_ard_3-0-0_116074_2015-09-06_final
2015-09-22 11:56:58	ga_ls8c_ard_3-0-0_116074_2015-09-22_final
2015-10-08 11:57:00	ga_ls8c_ard_3-0-0_116074_2015-10-08_final
2015-10-24 11:57:04	ga_ls8c_ard_3-0-0_116074_2015-10-24_final
2015-11-09 11:57:06	ga_ls8c_ard_3-0-0_116074_2015-11-09_final
2015-11-11 11:46:20	ga_ls8c_ard_3-0-0_114078_2015-11-11_final
2015-11-25 11:57:08	ga_ls8c_ard_3-0-0_116074_2015-11-25_final
2015-12-11 11:57:06	ga_ls8c_ard_3-0-0_116074_2015-12-11_final
2015-12-29 11:46:21	ga_ls8c_ard_3-0-0_114078_2015-12-29_final
2016-01-28 11:57:03	ga_ls8c_ard_3-0-0_116074_2016-01-28_final
2016-02-29 11:56:53	ga_ls8c_ard_3-0-0_116074_2016-02-29_final
2016-03-16 11:56:49	ga_ls8c_ard_3-0-0_116074_2016-03-16_final
2016-04-03 11:45:52	ga_ls8c_ard_3-0-0_114078_2016-04-03_final
2016-04-17 11:56:33	ga_ls8c_ard_3-0-0_116074_2016-04-17_final
2016-04-19 11:44:35	ga_ls8c_ard_3-0-0_114075_2016-04-19_final
2016-05-03 11:56:37	ga_ls8c_ard_3-0-0_116074_2016-05-03_final
2016-05-19 11:56:34	ga_ls8c_ard_3-0-0_116074_2016-05-19_final
2016-06-04 11:56:40	ga_ls8c_ard_3-0-0_116074_2016-06-04_final
2016-06-20 11:56:43	ga_ls8c_ard_3-0-0_116074_2016-06-20_final
2016-07-06 11:56:53	ga_ls8c_ard_3-0-0_116074_2016-07-06_final
2016-07-08 11:44:56	ga_ls8c_ard_3-0-0_114075_2016-07-08_final
2016-07-22 11:56:58	ga_ls8c_ard_3-0-0_116074_2016-07-22_final
2016-07-24 11:45:01	ga_ls8c_ard_3-0-0_114075_2016-07-24_final
2016-07-24 11:46:13	ga_ls8c_ard_3-0-0_114078_2016-07-24_final
2016-08-07 11:57:01	ga_ls8c_ard_3-0-0_116074_2016-08-07_final
2016-08-23 11:57:07	ga_ls8c_ard_3-0-0_116074_2016-08-23_final
2016-09-08 11:57:12	ga_ls8c_ard_3-0-0_116074_2016-09-08_final
2016-10-10 11:57:17	ga_ls8c_ard_3-0-0_116074_2016-10-10_final
2016-10-12 11:45:20	ga_ls8c_ard_3-0-0_114075_2016-10-12_final
2016-11-13 11:45:21	ga_ls8c_ard_3-0-0_114075_2016-11-13_final
2016-11-27 11:57:20	ga_ls8c_ard_3-0-0_116074_2016-11-27_final
2016-12-13 11:57:16	ga_ls8c_ard_3-0-0_116074_2016-12-13_final
2016-12-29 11:57:13	ga_ls8c_ard_3-0-0_116074_2016-12-29_final
2017-01-14 11:57:09	ga_ls8c_ard_3-0-0_116074_2017-01-14_final
2017-01-30 11:57:03	ga_ls8c_ard_3-0-0_116074_2017-01-30_final
2017-02-01 11:46:16	ga_ls8c_ard_3-0-0_114078_2017-02-01_final
2017-02-15 11:56:55	ga_ls8c_ard_3-0-0_116074_2017-02-15_final
2017-03-05 11:44:51	ga_ls8c_ard_3-0-0_114075_2017-03-05_final
2017-03-19 11:56:40	ga_ls8c_ard_3-0-0_116074_2017-03-19_final
2017-04-04 11:56:32	ga_ls8c_ard_3-0-0_116074_2017-04-04_final
2017-04-20 11:56:23	ga_ls8c_ard_3-0-0_116074_2017-04-20_final
2017-05-06 11:56:18	ga_ls8c_ard_3-0-0_116074_2017-05-06_final
2017-05-22 11:56:30	ga_ls8c_ard_3-0-0_116074_2017-05-22_final
2017-05-24 11:44:33	ga_ls8c_ard_3-0-0_114075_2017-05-24_final
2017-06-07 11:56:38	ga_ls8c_ard_3-0-0_116074_2017-06-07_final
2017-06-23 11:56:44	ga_ls8c_ard_3-0-0_116074_2017-06-23_final
2017-06-25 11:44:47	ga_ls8c_ard_3-0-0_114075_2017-06-25_final
2017-07-09 11:56:47	ga_ls8c_ard_3-0-0_116074_2017-07-09_final
2017-07-25 11:56:54	ga_ls8c_ard_3-0-0_116074_2017-07-25_final
2017-08-10 11:57:00	ga_ls8c_ard_3-0-0_116074_2017-08-10_final
2017-08-12 11:46:15	ga_ls8c_ard_3-0-0_114078_2017-08-12_final
2017-08-26 11:57:05	ga_ls8c_ard_3-0-0_116074_2017-08-26_final
2017-09-11 11:57:06	ga_ls8c_ard_3-0-0_116074_2017-09-11_final
2017-09-13 11:46:20	ga_ls8c_ard_3-0-0_114078_2017-09-13_final
2017-09-27 11:57:12	ga_ls8c_ard_3-0-0_116074_2017-09-27_final
2017-10-13 11:57:16	ga_ls8c_ard_3-0-0_116074_2017-10-13_final
2017-10-31 11:46:31	ga_ls8c_ard_3-0-0_114078_2017-10-31_final
2017-11-14 11:57:14	ga_ls8c_ard_3-0-0_116074_2017-11-14_final
2017-11-30 11:57:08	ga_ls8c_ard_3-0-0_116074_2017-11-30_final
2017-12-02 11:46:22	ga_ls8c_ard_3-0-0_114078_2017-12-02_final
2017-12-16 11:57:10	ga_ls8c_ard_3-0-0_116074_2017-12-16_final
2018-01-01 11:57:08	ga_ls8c_ard_3-0-0_116074_2018-01-01_final
2018-01-17 11:57:01	ga_ls8c_ard_3-0-0_116074_2018-01-17_final
2018-02-02 11:56:51	ga_ls8c_ard_3-0-0_116074_2018-02-02_final
2018-02-18 11:56:47	ga_ls8c_ard_3-0-0_116074_2018-02-18_final
2018-03-06 11:56:39	ga_ls8c_ard_3-0-0_116074_2018-03-06_final
2018-03-22 11:56:30	ga_ls8c_ard_3-0-0_116074_2018-03-22_final
2018-04-07 11:56:23	ga_ls8c_ard_3-0-0_116074_2018-04-07_final
2018-05-09 11:56:04	ga_ls8c_ard_3-0-0_116074_2018-05-09_final
2018-06-10 11:55:49	ga_ls8c_ard_3-0-0_116074_2018-06-10_final
2018-06-12 11:45:05	ga_ls8c_ard_3-0-0_114078_2018-06-12_final
2018-06-26 11:56:00	ga_ls8c_ard_3-0-0_116074_2018-06-26_final
2018-07-28 11:56:14	ga_ls8c_ard_3-0-0_116074_2018-07-28_final
2018-08-31 11:44:34	ga_ls8c_ard_3-0-0_114075_2018-08-31_final
2018-09-14 11:56:36	ga_ls8c_ard_3-0-0_116074_2018-09-14_final
2018-11-01 11:56:54	ga_ls8c_ard_3-0-0_116074_2018-11-01_final
2018-11-03 11:46:09	ga_ls8c_ard_3-0-0_114078_2018-11-03_final
2018-11-17 11:56:55	ga_ls8c_ard_3-0-0_116074_2018-11-17_final
2018-12-03 11:56:54	ga_ls8c_ard_3-0-0_116074_2018-12-03_final
2018-12-05 11:46:07	ga_ls8c_ard_3-0-0_114078_2018-12-05_final
2018-12-19 11:56:52	ga_ls8c_ard_3-0-0_116074_2018-12-19_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years