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:

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First 100 results (query limit)

Time (local)	Label
2013-04-01 11:50:36	ga_ls8c_ard_3-0-0_114078_2013-04-01_final
2013-05-13 11:48:10	ga_ls8c_ard_3-0-0_114078_2013-05-13_final
2013-06-14 11:48:12	ga_ls8c_ard_3-0-0_114078_2013-06-14_final
2013-06-30 11:48:11	ga_ls8c_ard_3-0-0_114078_2013-06-30_final
2013-07-16 11:48:12	ga_ls8c_ard_3-0-0_114078_2013-07-16_final
2013-08-01 11:48:13	ga_ls8c_ard_3-0-0_114078_2013-08-01_final
2013-08-17 11:48:14	ga_ls8c_ard_3-0-0_114078_2013-08-17_final
2013-09-02 11:48:16	ga_ls8c_ard_3-0-0_114078_2013-09-02_final
2013-10-20 11:48:03	ga_ls8c_ard_3-0-0_114078_2013-10-20_final
2013-11-05 11:47:58	ga_ls8c_ard_3-0-0_114078_2013-11-05_final
2013-11-21 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-11-21_final
2013-12-07 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-12-07_final
2013-12-23 11:47:41	ga_ls8c_ard_3-0-0_114078_2013-12-23_final
2014-02-09 11:47:10	ga_ls8c_ard_3-0-0_114078_2014-02-09_final
2014-02-25 11:46:57	ga_ls8c_ard_3-0-0_114078_2014-02-25_final
2014-05-16 11:45:46	ga_ls8c_ard_3-0-0_114078_2014-05-16_final
2014-06-01 11:45:49	ga_ls8c_ard_3-0-0_114078_2014-06-01_final
2014-06-17 11:45:56	ga_ls8c_ard_3-0-0_114078_2014-06-17_final
2014-09-05 11:46:21	ga_ls8c_ard_3-0-0_114078_2014-09-05_final
2014-11-08 11:46:27	ga_ls8c_ard_3-0-0_114078_2014-11-08_final
2015-04-17 11:45:36	ga_ls8c_ard_3-0-0_114078_2015-04-17_final
2015-05-19 11:45:16	ga_ls8c_ard_3-0-0_114078_2015-05-19_final
2015-06-13 11:39:19	ga_ls8c_ard_3-0-0_113078_2015-06-13_final
2015-06-20 11:45:32	ga_ls8c_ard_3-0-0_114078_2015-06-20_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-09-08 11:46:05	ga_ls8c_ard_3-0-0_114078_2015-09-08_final
2015-09-17 11:39:59	ga_ls8c_ard_3-0-0_113078_2015-09-17_final
2015-10-10 11:46:14	ga_ls8c_ard_3-0-0_114078_2015-10-10_final
2015-11-20 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-11-20_final
2016-01-30 11:46:17	ga_ls8c_ard_3-0-0_114078_2016-01-30_final
2016-02-15 11:46:09	ga_ls8c_ard_3-0-0_114078_2016-02-15_final
2016-05-05 11:45:50	ga_ls8c_ard_3-0-0_114078_2016-05-05_final
2016-05-21 11:45:49	ga_ls8c_ard_3-0-0_114078_2016-05-21_final
2016-06-15 11:39:44	ga_ls8c_ard_3-0-0_113078_2016-06-15_final
2016-08-25 11:46:22	ga_ls8c_ard_3-0-0_114078_2016-08-25_final
2016-09-10 11:46:27	ga_ls8c_ard_3-0-0_114078_2016-09-10_final
2016-09-19 11:40:17	ga_ls8c_ard_3-0-0_113078_2016-09-19_final
2016-10-12 11:46:32	ga_ls8c_ard_3-0-0_114078_2016-10-12_final
2016-10-21 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-10-21_final
2016-11-22 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-11-22_final
2016-11-29 11:46:33	ga_ls8c_ard_3-0-0_114078_2016-11-29_final
2017-01-09 11:40:14	ga_ls8c_ard_3-0-0_113078_2017-01-09_final
2017-01-16 11:46:23	ga_ls8c_ard_3-0-0_114078_2017-01-16_final
2017-01-25 11:40:08	ga_ls8c_ard_3-0-0_113078_2017-01-25_final
2017-02-10 11:40:00	ga_ls8c_ard_3-0-0_113078_2017-02-10_final
2017-02-26 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-02-26_final
2017-03-14 11:39:47	ga_ls8c_ard_3-0-0_113078_2017-03-14_final
2017-03-21 11:45:53	ga_ls8c_ard_3-0-0_114078_2017-03-21_final
2017-03-30 11:39:38	ga_ls8c_ard_3-0-0_113078_2017-03-30_final
2017-04-06 11:45:46	ga_ls8c_ard_3-0-0_114078_2017-04-06_final
2017-04-15 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-04-15_final
2017-05-01 11:39:19	ga_ls8c_ard_3-0-0_113078_2017-05-01_final
2017-05-17 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-05-17_final
2017-05-24 11:45:45	ga_ls8c_ard_3-0-0_114078_2017-05-24_final
2017-06-02 11:39:39	ga_ls8c_ard_3-0-0_113078_2017-06-02_final
2017-06-18 11:39:46	ga_ls8c_ard_3-0-0_113078_2017-06-18_final
2017-07-04 11:39:50	ga_ls8c_ard_3-0-0_113078_2017-07-04_final
2017-07-20 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-07-20_final
2017-08-05 11:40:02	ga_ls8c_ard_3-0-0_113078_2017-08-05_final
2017-08-21 11:40:07	ga_ls8c_ard_3-0-0_113078_2017-08-21_final
2017-08-28 11:46:19	ga_ls8c_ard_3-0-0_114078_2017-08-28_final
2017-09-06 11:40:09	ga_ls8c_ard_3-0-0_113078_2017-09-06_final
2017-09-22 11:40:13	ga_ls8c_ard_3-0-0_113078_2017-09-22_final
2017-10-08 11:40:19	ga_ls8c_ard_3-0-0_113078_2017-10-08_final
2017-10-24 11:40:21	ga_ls8c_ard_3-0-0_113078_2017-10-24_final
2017-11-09 11:40:19	ga_ls8c_ard_3-0-0_113078_2017-11-09_final
2017-11-25 11:40:13	ga_ls8c_ard_3-0-0_113078_2017-11-25_final
2017-12-11 11:40:11	ga_ls8c_ard_3-0-0_113078_2017-12-11_final
2017-12-27 11:40:13	ga_ls8c_ard_3-0-0_113078_2017-12-27_final
2018-01-03 11:46:22	ga_ls8c_ard_3-0-0_114078_2018-01-03_final
2018-01-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2018-01-28_final
2018-02-13 11:39:52	ga_ls8c_ard_3-0-0_113078_2018-02-13_final
2018-03-01 11:39:45	ga_ls8c_ard_3-0-0_113078_2018-03-01_final
2018-03-08 11:45:52	ga_ls8c_ard_3-0-0_114078_2018-03-08_final
2018-03-17 11:39:36	ga_ls8c_ard_3-0-0_113078_2018-03-17_final
2018-03-24 11:45:44	ga_ls8c_ard_3-0-0_114078_2018-03-24_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-04-25 11:45:27	ga_ls8c_ard_3-0-0_114078_2018-04-25_final
2018-05-04 11:39:11	ga_ls8c_ard_3-0-0_113078_2018-05-04_final
2018-05-20 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-05-20_final
2018-06-05 11:38:49	ga_ls8c_ard_3-0-0_113078_2018-06-05_final
2018-06-21 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-06-21_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-14 11:45:23	ga_ls8c_ard_3-0-0_114078_2018-07-14_final
2018-07-23 11:39:16	ga_ls8c_ard_3-0-0_113078_2018-07-23_final
2018-07-30 11:45:30	ga_ls8c_ard_3-0-0_114078_2018-07-30_final
2018-08-08 11:39:25	ga_ls8c_ard_3-0-0_113078_2018-08-08_final
2018-08-15 11:45:39	ga_ls8c_ard_3-0-0_114078_2018-08-15_final
2018-08-24 11:39:33	ga_ls8c_ard_3-0-0_113078_2018-08-24_final
2018-09-09 11:39:38	ga_ls8c_ard_3-0-0_113078_2018-09-09_final
2018-09-16 11:45:51	ga_ls8c_ard_3-0-0_114078_2018-09-16_final
2018-09-25 11:39:44	ga_ls8c_ard_3-0-0_113078_2018-09-25_final
2018-10-11 11:39:51	ga_ls8c_ard_3-0-0_113078_2018-10-11_final
2018-10-18 11:46:05	ga_ls8c_ard_3-0-0_114078_2018-10-18_final
2018-10-27 11:39:56	ga_ls8c_ard_3-0-0_113078_2018-10-27_final
2018-11-12 11:39:59	ga_ls8c_ard_3-0-0_113078_2018-11-12_final
2018-11-19 11:46:09	ga_ls8c_ard_3-0-0_114078_2018-11-19_final
2018-11-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2018-11-28_final
2018-12-14 11:39:54	ga_ls8c_ard_3-0-0_113078_2018-12-14_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