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
2013-12-22 09:30:20	ga_ls8c_ard_3-0-0_091090_2013-12-22_final
2013-12-24 09:17:58	ga_ls8c_ard_3-0-0_089090_2013-12-23_final
2014-01-25 09:17:38	ga_ls8c_ard_3-0-0_089090_2014-01-24_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2014-05-31 09:28:27	ga_ls8c_ard_3-0-0_091090_2014-05-30_final
2014-07-04 09:16:18	ga_ls8c_ard_3-0-0_089090_2014-07-03_final
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-20 09:16:23	ga_ls8c_ard_3-0-0_089090_2014-07-19_final
2014-09-29 09:22:49	ga_ls8c_ard_3-0-0_090090_2014-09-28_final
2014-10-15 09:22:55	ga_ls8c_ard_3-0-0_090090_2014-10-14_final
2014-10-24 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-10-23_final
2014-11-16 09:22:30	ga_ls8c_ard_3-0-0_090089_2014-11-15_final
2014-11-16 09:22:54	ga_ls8c_ard_3-0-0_090090_2014-11-15_final
2014-11-25 09:16:41	ga_ls8c_ard_3-0-0_089090_2014-11-24_final
2014-12-09 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-12-08_final
2015-02-13 09:16:19	ga_ls8c_ard_3-0-0_089090_2015-02-12_final
2015-02-27 09:28:39	ga_ls8c_ard_3-0-0_091090_2015-02-26_final
2015-03-08 09:22:22	ga_ls8c_ard_3-0-0_090090_2015-03-07_final
2015-03-24 09:22:13	ga_ls8c_ard_3-0-0_090090_2015-03-23_final
2015-04-09 09:22:04	ga_ls8c_ard_3-0-0_090090_2015-04-08_final
2015-04-16 09:28:15	ga_ls8c_ard_3-0-0_091090_2015-04-15_final
2015-04-18 09:15:53	ga_ls8c_ard_3-0-0_089090_2015-04-17_final
2015-04-23 09:34:24	ga_ls8c_ard_3-0-0_092090_2015-04-23_final
2015-05-02 09:28:05	ga_ls8c_ard_3-0-0_091090_2015-05-01_final
2015-05-04 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-05-03_final
2015-05-11 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-10_final
2015-05-18 09:27:54	ga_ls8c_ard_3-0-0_091090_2015-05-17_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-05-20 09:15:33	ga_ls8c_ard_3-0-0_089090_2015-05-19_final
2015-05-25 09:33:43	ga_ls8c_ard_3-0-0_092089_2015-05-25_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_final
2015-06-03 09:27:37	ga_ls8c_ard_3-0-0_091089_2015-06-02_final
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-06-05 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-06-04_final
2015-06-05 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-06-04_final
2015-06-10 09:33:53	ga_ls8c_ard_3-0-0_092089_2015-06-10_final
2015-06-10 09:34:17	ga_ls8c_ard_3-0-0_092090_2015-06-10_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-07-05 09:28:19	ga_ls8c_ard_3-0-0_091090_2015-07-04_final
2015-08-06 09:28:29	ga_ls8c_ard_3-0-0_091090_2015-08-05_final
2015-08-31 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-08-30_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-09 09:28:53	ga_ls8c_ard_3-0-0_091090_2015-10-08_final
2015-10-18 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-10-17_final
2015-11-19 09:22:49	ga_ls8c_ard_3-0-0_090090_2015-11-18_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-12-03 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-03_final
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-05 09:22:49	ga_ls8c_ard_3-0-0_090090_2015-12-04_final
2015-12-12 09:28:59	ga_ls8c_ard_3-0-0_091090_2015-12-11_final
2015-12-14 09:16:38	ga_ls8c_ard_3-0-0_089090_2015-12-13_final
2015-12-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-19_final
2015-12-21 09:22:50	ga_ls8c_ard_3-0-0_090090_2015-12-20_final
2016-01-04 09:35:08	ga_ls8c_ard_3-0-0_092090_2016-01-04_final
2016-01-13 09:28:57	ga_ls8c_ard_3-0-0_091090_2016-01-12_final
2016-01-20 09:35:08	ga_ls8c_ard_3-0-0_092090_2016-01-20_final
2016-01-22 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-01-21_final
2016-01-29 09:28:56	ga_ls8c_ard_3-0-0_091090_2016-01-28_final
2016-02-05 09:35:05	ga_ls8c_ard_3-0-0_092090_2016-02-05_final
2016-02-21 09:34:56	ga_ls8c_ard_3-0-0_092090_2016-02-21_final
2016-02-23 09:22:35	ga_ls8c_ard_3-0-0_090090_2016-02-22_final
2016-03-08 09:34:55	ga_ls8c_ard_3-0-0_092090_2016-03-08_final
2016-03-17 09:28:41	ga_ls8c_ard_3-0-0_091090_2016-03-16_final
2016-03-19 09:16:18	ga_ls8c_ard_3-0-0_089090_2016-03-18_final
2016-03-24 09:34:48	ga_ls8c_ard_3-0-0_092090_2016-03-24_final
2016-03-26 09:22:25	ga_ls8c_ard_3-0-0_090090_2016-03-25_final
2016-04-09 09:34:40	ga_ls8c_ard_3-0-0_092090_2016-04-09_final
2016-04-11 09:22:18	ga_ls8c_ard_3-0-0_090090_2016-04-10_final
2016-04-18 09:28:26	ga_ls8c_ard_3-0-0_091090_2016-04-17_final
2016-04-25 09:34:33	ga_ls8c_ard_3-0-0_092090_2016-04-25_final
2016-04-27 09:22:14	ga_ls8c_ard_3-0-0_090090_2016-04-26_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-06 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-05_final
2016-05-06 09:16:07	ga_ls8c_ard_3-0-0_089090_2016-05-05_final
2016-05-11 09:34:12	ga_ls8c_ard_3-0-0_092089_2016-05-11_final
2016-05-11 09:34:36	ga_ls8c_ard_3-0-0_092090_2016-05-11_final
2016-05-13 09:22:13	ga_ls8c_ard_3-0-0_090090_2016-05-12_final
2017-04-12 09:34:32	ga_ls8c_ard_3-0-0_092090_2017-04-12_final
2017-04-14 09:22:09	ga_ls8c_ard_3-0-0_090090_2017-04-13_final
2017-05-30 09:34:38	ga_ls8c_ard_3-0-0_092090_2017-05-30_final
2017-06-01 09:21:53	ga_ls8c_ard_3-0-0_090089_2017-05-31_final
2017-06-01 09:22:17	ga_ls8c_ard_3-0-0_090090_2017-05-31_final
2017-07-17 09:34:53	ga_ls8c_ard_3-0-0_092090_2017-07-17_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-07-28 09:16:02	ga_ls8c_ard_3-0-0_089089_2017-07-27_final
2017-07-28 09:16:26	ga_ls8c_ard_3-0-0_089090_2017-07-27_final
2017-09-14 09:16:37	ga_ls8c_ard_3-0-0_089090_2017-09-13_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-09-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2017-09-29_final
2017-12-08 09:35:12	ga_ls8c_ard_3-0-0_092090_2017-12-08_final
2018-01-09 09:35:09	ga_ls8c_ard_3-0-0_092090_2018-01-09_final
2018-01-25 09:35:00	ga_ls8c_ard_3-0-0_092090_2018-01-25_final
2018-03-09 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-03-08_final
2018-03-14 09:34:37	ga_ls8c_ard_3-0-0_092090_2018-03-14_final
2018-03-30 09:34:31	ga_ls8c_ard_3-0-0_092090_2018-03-30_final
2018-04-15 09:34:22	ga_ls8c_ard_3-0-0_092090_2018-04-15_final
2018-04-26 09:15:43	ga_ls8c_ard_3-0-0_089090_2018-04-25_final
2018-05-01 09:34:13	ga_ls8c_ard_3-0-0_092090_2018-05-01_final
2020-02-18 09:22:42	ga_ls8c_ard_3-1-0_090090_2020-02-17_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