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
2015-05-26 11:49:52	ga_ls8c_ard_3-0-0_115074_2015-05-26_final
2015-06-11 11:50:03	ga_ls8c_ard_3-0-0_115074_2015-06-11_final
2015-07-04 11:57:13	ga_ls8c_ard_3-0-0_116076_2015-07-04_final
2015-07-13 11:50:20	ga_ls8c_ard_3-0-0_115074_2015-07-13_final
2015-07-20 11:57:22	ga_ls8c_ard_3-0-0_116076_2015-07-20_final
2015-07-29 11:50:25	ga_ls8c_ard_3-0-0_115074_2015-07-29_final
2015-08-05 11:57:24	ga_ls8c_ard_3-0-0_116076_2015-08-05_final
2015-08-14 11:50:30	ga_ls8c_ard_3-0-0_115074_2015-08-14_final
2015-09-06 11:57:38	ga_ls8c_ard_3-0-0_116076_2015-09-06_final
2015-09-15 11:50:44	ga_ls8c_ard_3-0-0_115074_2015-09-15_final
2015-09-22 11:57:46	ga_ls8c_ard_3-0-0_116076_2015-09-22_final
2015-11-18 11:50:56	ga_ls8c_ard_3-0-0_115074_2015-11-18_final
2015-12-04 11:50:57	ga_ls8c_ard_3-0-0_115074_2015-12-04_final
2015-12-20 11:50:57	ga_ls8c_ard_3-0-0_115074_2015-12-20_final
2016-01-21 11:50:54	ga_ls8c_ard_3-0-0_115074_2016-01-21_final
2016-01-28 11:57:51	ga_ls8c_ard_3-0-0_116076_2016-01-28_final
2016-02-13 11:57:45	ga_ls8c_ard_3-0-0_116076_2016-02-13_final
2016-02-29 11:57:41	ga_ls8c_ard_3-0-0_116076_2016-02-29_final
2016-03-09 11:50:41	ga_ls8c_ard_3-0-0_115074_2016-03-09_final
2016-03-25 11:50:32	ga_ls8c_ard_3-0-0_115074_2016-03-25_final
2016-04-01 11:57:26	ga_ls8c_ard_3-0-0_116076_2016-04-01_final
2016-04-10 11:50:25	ga_ls8c_ard_3-0-0_115074_2016-04-10_final
2016-04-26 11:50:20	ga_ls8c_ard_3-0-0_115074_2016-04-26_final
2016-05-03 11:57:25	ga_ls8c_ard_3-0-0_116076_2016-05-03_final
2016-05-19 11:57:22	ga_ls8c_ard_3-0-0_116076_2016-05-19_final
2016-05-28 11:50:27	ga_ls8c_ard_3-0-0_115074_2016-05-28_final
2016-06-04 11:57:28	ga_ls8c_ard_3-0-0_116076_2016-06-04_final
2016-06-13 11:50:30	ga_ls8c_ard_3-0-0_115074_2016-06-13_final
2016-06-20 11:57:31	ga_ls8c_ard_3-0-0_116076_2016-06-20_final
2016-06-29 11:50:38	ga_ls8c_ard_3-0-0_115074_2016-06-29_final
2016-07-06 11:57:40	ga_ls8c_ard_3-0-0_116076_2016-07-06_final
2016-07-15 11:50:45	ga_ls8c_ard_3-0-0_115074_2016-07-15_final
2016-07-22 11:57:46	ga_ls8c_ard_3-0-0_116076_2016-07-22_final
2016-08-16 11:50:53	ga_ls8c_ard_3-0-0_115074_2016-08-16_final
2016-09-17 11:51:02	ga_ls8c_ard_3-0-0_115074_2016-09-17_final
2016-09-24 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-09-24_final
2016-10-19 11:51:09	ga_ls8c_ard_3-0-0_115074_2016-10-19_final
2016-11-04 11:51:09	ga_ls8c_ard_3-0-0_115074_2016-11-04_final
2016-11-20 11:51:09	ga_ls8c_ard_3-0-0_115074_2016-11-20_final
2016-12-06 11:51:07	ga_ls8c_ard_3-0-0_115074_2016-12-06_final
2016-12-13 11:58:04	ga_ls8c_ard_3-0-0_116076_2016-12-13_final
2016-12-29 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-12-29_final
2017-01-07 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-01-07_final
2017-01-14 11:57:57	ga_ls8c_ard_3-0-0_116076_2017-01-14_final
2017-01-23 11:50:55	ga_ls8c_ard_3-0-0_115074_2017-01-23_final
2017-02-08 11:50:47	ga_ls8c_ard_3-0-0_115074_2017-02-08_final
2017-02-15 11:57:43	ga_ls8c_ard_3-0-0_116076_2017-02-15_final
2017-02-24 11:50:42	ga_ls8c_ard_3-0-0_115074_2017-02-24_final
2017-03-03 11:57:37	ga_ls8c_ard_3-0-0_116076_2017-03-03_final
2017-03-12 11:50:34	ga_ls8c_ard_3-0-0_115074_2017-03-12_final
2017-04-04 11:57:20	ga_ls8c_ard_3-0-0_116076_2017-04-04_final
2017-04-20 11:57:11	ga_ls8c_ard_3-0-0_116076_2017-04-20_final
2017-04-29 11:50:06	ga_ls8c_ard_3-0-0_115074_2017-04-29_final
2017-05-06 11:57:06	ga_ls8c_ard_3-0-0_116076_2017-05-06_final
2017-05-15 11:50:14	ga_ls8c_ard_3-0-0_115074_2017-05-15_final
2017-05-22 11:57:18	ga_ls8c_ard_3-0-0_116076_2017-05-22_final
2017-05-31 11:50:24	ga_ls8c_ard_3-0-0_115074_2017-05-31_final
2017-06-16 11:50:31	ga_ls8c_ard_3-0-0_115074_2017-06-16_final
2017-06-23 11:57:32	ga_ls8c_ard_3-0-0_116076_2017-06-23_final
2017-07-02 11:50:35	ga_ls8c_ard_3-0-0_115074_2017-07-02_final
2017-07-18 11:50:39	ga_ls8c_ard_3-0-0_115074_2017-07-18_final
2017-08-03 11:50:47	ga_ls8c_ard_3-0-0_115074_2017-08-03_final
2017-08-19 11:50:52	ga_ls8c_ard_3-0-0_115074_2017-08-19_final
2017-09-04 11:50:55	ga_ls8c_ard_3-0-0_115074_2017-09-04_final
2017-09-11 11:57:54	ga_ls8c_ard_3-0-0_116076_2017-09-11_final
2017-09-20 11:50:58	ga_ls8c_ard_3-0-0_115074_2017-09-20_final
2017-09-27 11:58:00	ga_ls8c_ard_3-0-0_116076_2017-09-27_final
2017-10-06 11:51:04	ga_ls8c_ard_3-0-0_115074_2017-10-06_final
2017-10-22 11:51:07	ga_ls8c_ard_3-0-0_115074_2017-10-22_final
2017-11-07 11:51:05	ga_ls8c_ard_3-0-0_115074_2017-11-07_final
2017-12-09 11:50:57	ga_ls8c_ard_3-0-0_115074_2017-12-09_final
2017-12-16 11:57:58	ga_ls8c_ard_3-0-0_116076_2017-12-16_final
2017-12-25 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-12-25_final
2018-01-01 11:57:56	ga_ls8c_ard_3-0-0_116076_2018-01-01_final
2018-01-10 11:50:54	ga_ls8c_ard_3-0-0_115074_2018-01-10_final
2018-01-17 11:57:49	ga_ls8c_ard_3-0-0_116076_2018-01-17_final
2018-01-26 11:50:45	ga_ls8c_ard_3-0-0_115074_2018-01-26_final
2018-02-11 11:50:38	ga_ls8c_ard_3-0-0_115074_2018-02-11_final
2018-03-15 11:50:22	ga_ls8c_ard_3-0-0_115074_2018-03-15_final
2018-03-22 11:57:18	ga_ls8c_ard_3-0-0_116076_2018-03-22_final
2018-03-31 11:50:16	ga_ls8c_ard_3-0-0_115074_2018-03-31_final
2018-04-07 11:57:11	ga_ls8c_ard_3-0-0_116076_2018-04-07_final
2018-04-16 11:50:07	ga_ls8c_ard_3-0-0_115074_2018-04-16_final
2018-05-09 11:56:52	ga_ls8c_ard_3-0-0_116076_2018-05-09_final
2018-05-18 11:49:47	ga_ls8c_ard_3-0-0_115074_2018-05-18_final
2018-06-03 11:49:35	ga_ls8c_ard_3-0-0_115074_2018-06-03_final
2018-06-19 11:49:44	ga_ls8c_ard_3-0-0_115074_2018-06-19_final
2018-07-05 11:49:54	ga_ls8c_ard_3-0-0_115074_2018-07-05_final
2018-07-21 11:50:01	ga_ls8c_ard_3-0-0_115074_2018-07-21_final
2018-08-06 11:50:09	ga_ls8c_ard_3-0-0_115074_2018-08-06_final
2018-08-13 11:57:12	ga_ls8c_ard_3-0-0_116076_2018-08-13_final
2018-08-22 11:50:18	ga_ls8c_ard_3-0-0_115074_2018-08-22_final
2018-09-07 11:50:24	ga_ls8c_ard_3-0-0_115074_2018-09-07_final
2018-09-23 11:50:28	ga_ls8c_ard_3-0-0_115074_2018-09-23_final
2018-10-09 11:50:36	ga_ls8c_ard_3-0-0_115074_2018-10-09_final
2018-10-16 11:57:38	ga_ls8c_ard_3-0-0_116076_2018-10-16_final
2018-10-25 11:50:42	ga_ls8c_ard_3-0-0_115074_2018-10-25_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2018-11-26 11:50:44	ga_ls8c_ard_3-0-0_115074_2018-11-26_final
2018-12-12 11:50:41	ga_ls8c_ard_3-0-0_115074_2018-12-12_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