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
2013-03-26 09:41:40	ga_ls8c_ard_3-0-0_093088_2013-03-26_final
2013-03-28 09:20:15	ga_ls8c_ard_3-0-0_090088_2013-03-27_final
2013-05-28 09:30:07	ga_ls8c_ard_3-0-0_091088_2013-05-28_final
2013-06-20 09:36:10	ga_ls8c_ard_3-0-0_092088_2013-06-20_final
2013-06-22 09:23:48	ga_ls8c_ard_3-0-0_090088_2013-06-21_final
2013-06-29 09:30:02	ga_ls8c_ard_3-0-0_091088_2013-06-29_final
2013-06-29 09:30:25	ga_ls8c_ard_3-0-0_091089_2013-06-29_final
2013-07-15 09:30:03	ga_ls8c_ard_3-0-0_091088_2013-07-15_final
2013-07-15 09:30:27	ga_ls8c_ard_3-0-0_091089_2013-07-15_final
2013-07-22 09:36:12	ga_ls8c_ard_3-0-0_092088_2013-07-22_final
2013-07-22 09:36:36	ga_ls8c_ard_3-0-0_092089_2013-07-22_final
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-07-24 09:24:15	ga_ls8c_ard_3-0-0_090089_2013-07-23_final
2013-08-30 09:42:29	ga_ls8c_ard_3-0-0_093088_2013-08-30_final
2013-09-01 09:30:07	ga_ls8c_ard_3-0-0_091088_2013-09-01_final
2013-09-01 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-09-01_final
2013-09-08 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-09-08_final
2013-09-08 09:36:40	ga_ls8c_ard_3-0-0_092089_2013-09-08_final
2013-09-10 09:23:54	ga_ls8c_ard_3-0-0_090088_2013-09-09_final
2013-09-10 09:24:18	ga_ls8c_ard_3-0-0_090089_2013-09-09_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-24 09:36:09	ga_ls8c_ard_3-0-0_092088_2013-09-24_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-09-26 09:23:45	ga_ls8c_ard_3-0-0_090088_2013-09-25_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-05 09:18:00	ga_ls8c_ard_3-0-0_089089_2013-10-04_final
2013-10-12 09:23:46	ga_ls8c_ard_3-0-0_090088_2013-10-11_final
2013-10-12 09:24:10	ga_ls8c_ard_3-0-0_090089_2013-10-11_final
2013-11-04 09:29:49	ga_ls8c_ard_3-0-0_091088_2013-11-03_final
2013-11-06 09:17:51	ga_ls8c_ard_3-0-0_089089_2013-11-05_final
2014-02-08 09:29:02	ga_ls8c_ard_3-0-0_091088_2014-02-07_final
2014-03-19 09:34:42	ga_ls8c_ard_3-0-0_092088_2014-03-19_final
2014-03-21 09:22:18	ga_ls8c_ard_3-0-0_090088_2014-03-20_final
2014-03-26 09:40:43	ga_ls8c_ard_3-0-0_093088_2014-03-26_final
2014-03-28 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-03-27_final
2014-03-28 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-03-27_final
2014-05-15 09:27:37	ga_ls8c_ard_3-0-0_091088_2014-05-14_final
2014-05-17 09:15:38	ga_ls8c_ard_3-0-0_089089_2014-05-16_final
2014-06-23 09:33:58	ga_ls8c_ard_3-0-0_092088_2014-06-23_final
2014-06-23 09:34:22	ga_ls8c_ard_3-0-0_092089_2014-06-23_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2014-06-25 09:22:00	ga_ls8c_ard_3-0-0_090089_2014-06-24_final
2015-12-03 09:34:24	ga_ls8c_ard_3-0-0_092088_2015-12-03_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-05 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-12-04_final
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-08 09:52:55	ga_ls8c_ard_3-0-0_095088_2015-12-08_final
2015-12-10 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-12-10_final
2015-12-12 09:28:11	ga_ls8c_ard_3-0-0_091088_2015-12-11_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2015-12-14 09:15:50	ga_ls8c_ard_3-0-0_089088_2015-12-13_final
2015-12-14 09:16:14	ga_ls8c_ard_3-0-0_089089_2015-12-13_final
2015-12-24 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-12-24_final
2016-01-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-11_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-01-15 09:15:47	ga_ls8c_ard_3-0-0_089088_2016-01-14_final
2016-01-20 09:34:20	ga_ls8c_ard_3-0-0_092088_2016-01-20_final
2016-01-20 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-20_final
2016-01-25 09:52:52	ga_ls8c_ard_3-0-0_095088_2016-01-25_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2016-01-29 09:28:08	ga_ls8c_ard_3-0-0_091088_2016-01-28_final
2016-01-31 09:15:46	ga_ls8c_ard_3-0-0_089088_2016-01-30_final
2016-01-31 09:16:10	ga_ls8c_ard_3-0-0_089089_2016-01-30_final
2016-02-10 09:52:47	ga_ls8c_ard_3-0-0_095088_2016-02-10_final
2016-02-12 09:40:24	ga_ls8c_ard_3-0-0_093088_2016-02-12_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-03 09:16:00	ga_ls8c_ard_3-0-0_089089_2016-03-02_final
2016-03-06 09:46:29	ga_ls8c_ard_3-0-0_094088_2016-03-06_final
2016-03-08 09:34:07	ga_ls8c_ard_3-0-0_092088_2016-03-08_final
2016-03-08 09:34:31	ga_ls8c_ard_3-0-0_092089_2016-03-08_final
2016-03-19 09:15:30	ga_ls8c_ard_3-0-0_089088_2016-03-18_final
2016-04-09 09:33:52	ga_ls8c_ard_3-0-0_092088_2016-04-09_final
2016-04-14 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-14_final
2016-04-18 09:27:38	ga_ls8c_ard_3-0-0_091088_2016-04-17_final
2016-04-20 09:15:15	ga_ls8c_ard_3-0-0_089088_2016-04-19_final
2016-04-20 09:15:39	ga_ls8c_ard_3-0-0_089089_2016-04-19_final
2016-04-27 09:21:26	ga_ls8c_ard_3-0-0_090088_2016-04-26_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2016-05-02 09:40:03	ga_ls8c_ard_3-0-0_093088_2016-05-02_final
2016-05-04 09:27:42	ga_ls8c_ard_3-0-0_091088_2016-05-03_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2016-05-06 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-05_final
2016-05-06 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-05_final
2016-05-11 09:33:48	ga_ls8c_ard_3-0-0_092088_2016-05-11_final
2016-05-11 09:34:12	ga_ls8c_ard_3-0-0_092089_2016-05-11_final
2016-05-13 09:21:25	ga_ls8c_ard_3-0-0_090088_2016-05-12_final
2016-05-13 09:21:49	ga_ls8c_ard_3-0-0_090089_2016-05-12_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2018-04-20 09:52:03	ga_ls8c_ard_3-0-0_095088_2018-04-20_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-22 09:51:43	ga_ls8c_ard_3-0-0_095088_2018-05-22_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-04 09:21:04	ga_ls8c_ard_3-0-0_090089_2018-06-03_final
2018-06-07 09:51:35	ga_ls8c_ard_3-0-0_095088_2018-06-07_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_final
2018-07-06 09:21:23	ga_ls8c_ard_3-0-0_090089_2018-07-05_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