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
2013-08-28 09:50:51	ga_ls8c_ard_3-0-0_095078_2013-08-28_final
2013-11-16 09:50:29	ga_ls8c_ard_3-0-0_095078_2013-11-16_final
2014-03-24 09:49:08	ga_ls8c_ard_3-0-0_095078_2014-03-24_final
2014-04-25 09:48:39	ga_ls8c_ard_3-0-0_095078_2014-04-25_final
2014-07-14 09:48:40	ga_ls8c_ard_3-0-0_095078_2014-07-14_final
2014-08-15 09:48:52	ga_ls8c_ard_3-0-0_095078_2014-08-15_final
2014-08-31 09:48:53	ga_ls8c_ard_3-0-0_095078_2014-08-31_final
2014-09-16 09:48:56	ga_ls8c_ard_3-0-0_095078_2014-09-16_final
2014-10-02 09:48:58	ga_ls8c_ard_3-0-0_095078_2014-10-02_final
2014-10-18 09:49:02	ga_ls8c_ard_3-0-0_095078_2014-10-18_final
2014-11-19 09:48:58	ga_ls8c_ard_3-0-0_095078_2014-11-19_final
2014-12-21 09:48:55	ga_ls8c_ard_3-0-0_095078_2014-12-21_final
2015-01-06 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-01-06_final
2015-02-23 09:48:36	ga_ls8c_ard_3-0-0_095078_2015-02-23_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-03-27 09:48:18	ga_ls8c_ard_3-0-0_095078_2015-03-27_final
2015-04-12 09:48:10	ga_ls8c_ard_3-0-0_095078_2015-04-12_final
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-05-14 09:47:48	ga_ls8c_ard_3-0-0_095078_2015-05-14_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-07-01 09:48:11	ga_ls8c_ard_3-0-0_095078_2015-07-01_final
2015-07-17 09:48:21	ga_ls8c_ard_3-0-0_095078_2015-07-17_final
2015-08-02 09:48:25	ga_ls8c_ard_3-0-0_095078_2015-08-02_final
2015-08-02 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-08-02_final
2015-08-18 09:48:32	ga_ls8c_ard_3-0-0_095078_2015-08-18_final
2015-09-03 09:52:36	ga_ls8c_ard_3-0-0_095088_2015-09-03_final
2015-10-05 09:48:49	ga_ls8c_ard_3-0-0_095078_2015-10-05_final
2015-10-05 09:52:48	ga_ls8c_ard_3-0-0_095088_2015-10-05_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2015-10-21 09:52:51	ga_ls8c_ard_3-0-0_095088_2015-10-21_final
2015-11-06 09:48:55	ga_ls8c_ard_3-0-0_095078_2015-11-06_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2015-12-08 09:52:55	ga_ls8c_ard_3-0-0_095088_2015-12-08_final
2015-12-24 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-12-24_final
2016-01-09 09:48:52	ga_ls8c_ard_3-0-0_095078_2016-01-09_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-01-25 09:52:52	ga_ls8c_ard_3-0-0_095088_2016-01-25_final
2016-02-10 09:48:47	ga_ls8c_ard_3-0-0_095078_2016-02-10_final
2016-02-10 09:52:47	ga_ls8c_ard_3-0-0_095088_2016-02-10_final
2016-02-26 09:48:42	ga_ls8c_ard_3-0-0_095078_2016-02-26_final
2016-03-13 09:52:38	ga_ls8c_ard_3-0-0_095088_2016-03-13_final
2016-03-29 09:48:29	ga_ls8c_ard_3-0-0_095078_2016-03-29_final
2016-03-29 09:52:28	ga_ls8c_ard_3-0-0_095088_2016-03-29_final
2016-04-30 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-30_final
2016-06-17 09:52:29	ga_ls8c_ard_3-0-0_095088_2016-06-17_final
2016-08-04 09:52:49	ga_ls8c_ard_3-0-0_095088_2016-08-04_final
2016-09-21 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-09-21_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-11-08 09:53:07	ga_ls8c_ard_3-0-0_095088_2016-11-08_final
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2017-01-27 09:48:53	ga_ls8c_ard_3-0-0_095078_2017-01-27_final
2017-01-27 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-01-27_final
2017-02-12 09:52:44	ga_ls8c_ard_3-0-0_095088_2017-02-12_final
2017-04-17 09:52:14	ga_ls8c_ard_3-0-0_095088_2017-04-17_final
2017-05-19 09:52:16	ga_ls8c_ard_3-0-0_095088_2017-05-19_final
2017-06-04 09:52:25	ga_ls8c_ard_3-0-0_095088_2017-06-04_final
2017-07-06 09:52:35	ga_ls8c_ard_3-0-0_095088_2017-07-06_final
2017-07-22 09:52:40	ga_ls8c_ard_3-0-0_095088_2017-07-22_final
2017-08-07 09:52:48	ga_ls8c_ard_3-0-0_095088_2017-08-07_final
2017-08-23 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-08-23_final
2017-09-08 09:52:54	ga_ls8c_ard_3-0-0_095088_2017-09-08_final
2017-09-24 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-09-24_final
2017-10-10 09:53:04	ga_ls8c_ard_3-0-0_095088_2017-10-10_final
2017-10-26 09:53:06	ga_ls8c_ard_3-0-0_095088_2017-10-26_final
2017-11-27 09:48:58	ga_ls8c_ard_3-0-0_095078_2017-11-27_final
2017-11-27 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-11-27_final
2017-12-29 09:50:34	ga_ls8c_ard_3-0-0_095082_2017-12-29_final
2017-12-29 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-29_final
2018-01-14 09:50:27	ga_ls8c_ard_3-0-0_095082_2018-01-14_final
2018-01-14 09:52:51	ga_ls8c_ard_3-0-0_095088_2018-01-14_final
2018-01-30 09:50:18	ga_ls8c_ard_3-0-0_095082_2018-01-30_final
2018-01-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-01-30_final
2018-03-03 09:50:05	ga_ls8c_ard_3-0-0_095082_2018-03-03_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-19 09:49:56	ga_ls8c_ard_3-0-0_095082_2018-03-19_final
2018-03-19 09:52:20	ga_ls8c_ard_3-0-0_095088_2018-03-19_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-04-20 09:49:39	ga_ls8c_ard_3-0-0_095082_2018-04-20_final
2018-05-06 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-05-06_final
2018-06-07 09:49:11	ga_ls8c_ard_3-0-0_095082_2018-06-07_final
2018-06-23 09:49:22	ga_ls8c_ard_3-0-0_095082_2018-06-23_final
2018-07-09 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-07-09_final
2018-07-25 09:49:37	ga_ls8c_ard_3-0-0_095082_2018-07-25_final
2018-07-25 09:52:01	ga_ls8c_ard_3-0-0_095088_2018-07-25_final
2018-08-10 09:49:47	ga_ls8c_ard_3-0-0_095082_2018-08-10_final
2018-08-26 09:49:55	ga_ls8c_ard_3-0-0_095082_2018-08-26_final
2018-09-11 09:50:00	ga_ls8c_ard_3-0-0_095082_2018-09-11_final
2018-09-11 09:52:24	ga_ls8c_ard_3-0-0_095088_2018-09-11_final
2018-09-27 09:50:06	ga_ls8c_ard_3-0-0_095082_2018-09-27_final
2018-10-13 09:50:13	ga_ls8c_ard_3-0-0_095082_2018-10-13_final
2018-10-13 09:52:37	ga_ls8c_ard_3-0-0_095088_2018-10-13_final
2018-10-29 09:50:18	ga_ls8c_ard_3-0-0_095082_2018-10-29_final
2018-10-29 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-10-29_final
2018-11-14 09:52:44	ga_ls8c_ard_3-0-0_095088_2018-11-14_final
2018-11-30 09:50:19	ga_ls8c_ard_3-0-0_095082_2018-11-30_final
2018-11-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-11-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years