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
2014-08-24 11:21:35	ga_ls8c_ard_3-0-0_110078_2014-08-24_final
2014-09-25 11:21:34	ga_ls8c_ard_3-0-0_110078_2014-09-25_final
2014-10-27 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-27_final
2014-11-12 11:21:44	ga_ls8c_ard_3-0-0_110078_2014-11-12_final
2014-11-28 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-11-28_final
2014-12-30 11:21:32	ga_ls8c_ard_3-0-0_110078_2014-12-30_final
2015-01-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2015-01-31_final
2015-02-16 11:21:18	ga_ls8c_ard_3-0-0_110078_2015-02-16_final
2015-03-20 11:21:04	ga_ls8c_ard_3-0-0_110078_2015-03-20_final
2015-04-05 11:20:53	ga_ls8c_ard_3-0-0_110078_2015-04-05_final
2015-05-07 11:20:37	ga_ls8c_ard_3-0-0_110078_2015-05-07_final
2015-06-08 11:20:43	ga_ls8c_ard_3-0-0_110078_2015-06-08_final
2015-09-12 11:21:24	ga_ls8c_ard_3-0-0_110078_2015-09-12_final
2015-09-28 11:21:30	ga_ls8c_ard_3-0-0_110078_2015-09-28_final
2015-10-30 11:21:36	ga_ls8c_ard_3-0-0_110078_2015-10-30_final
2015-11-15 11:21:37	ga_ls8c_ard_3-0-0_110078_2015-11-15_final
2015-12-01 11:21:39	ga_ls8c_ard_3-0-0_110078_2015-12-01_final
2016-01-02 11:21:36	ga_ls8c_ard_3-0-0_110078_2016-01-02_final
2016-02-19 11:21:23	ga_ls8c_ard_3-0-0_110078_2016-02-19_final
2016-03-06 11:21:23	ga_ls8c_ard_3-0-0_110078_2016-03-06_final
2016-03-22 11:21:16	ga_ls8c_ard_3-0-0_110078_2016-03-22_final
2016-04-23 11:21:01	ga_ls8c_ard_3-0-0_110078_2016-04-23_final
2016-05-09 11:21:04	ga_ls8c_ard_3-0-0_110078_2016-05-09_final
2016-06-10 11:21:11	ga_ls8c_ard_3-0-0_110078_2016-06-10_final
2016-10-16 11:21:50	ga_ls8c_ard_3-0-0_110078_2016-10-16_final
2016-12-03 11:21:50	ga_ls8c_ard_3-0-0_110078_2016-12-03_final
2016-12-19 11:21:45	ga_ls8c_ard_3-0-0_110078_2016-12-19_final
2017-01-04 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-01-04_final
2017-02-05 11:21:30	ga_ls8c_ard_3-0-0_110078_2017-02-05_final
2017-03-09 11:21:17	ga_ls8c_ard_3-0-0_110078_2017-03-09_final
2017-04-10 11:21:00	ga_ls8c_ard_3-0-0_110078_2017-04-10_final
2017-06-13 11:21:12	ga_ls8c_ard_3-0-0_110078_2017-06-13_final
2017-07-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2017-07-31_final
2017-09-01 11:21:36	ga_ls8c_ard_3-0-0_110078_2017-09-01_final
2017-09-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-09-17_final
2017-10-19 11:21:48	ga_ls8c_ard_3-0-0_110078_2017-10-19_final
2017-12-22 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-12-22_final
2018-02-24 11:21:15	ga_ls8c_ard_3-0-0_110078_2018-02-24_final
2018-08-19 11:20:58	ga_ls8c_ard_3-0-0_110078_2018-08-19_final
2020-12-30 11:21:48	ga_ls8c_ard_3-2-0_110078_2020-12-30_final
2021-01-15 11:21:41	ga_ls8c_ard_3-2-0_110078_2021-01-15_final
2021-01-31 11:21:38	ga_ls8c_ard_3-2-0_110078_2021-01-31_final
2021-02-16 11:21:34	ga_ls8c_ard_3-2-0_110078_2021-02-16_final
2021-03-04 11:21:28	ga_ls8c_ard_3-2-0_110078_2021-03-04_final
2021-03-20 11:21:19	ga_ls8c_ard_3-2-0_110078_2021-03-20_final
2021-04-05 11:21:15	ga_ls8c_ard_3-2-0_110078_2021-04-05_final
2021-04-21 11:21:09	ga_ls8c_ard_3-2-0_110078_2021-04-21_final
2021-05-07 11:20:59	ga_ls8c_ard_3-2-0_110078_2021-05-07_final
2021-05-23 11:21:10	ga_ls8c_ard_3-2-0_110078_2021-05-23_final
2021-06-08 11:21:18	ga_ls8c_ard_3-2-0_110078_2021-06-08_final
2021-06-24 11:21:23	ga_ls8c_ard_3-2-0_110078_2021-06-24_final
2021-07-10 11:21:25	ga_ls8c_ard_3-2-0_110078_2021-07-10_final
2021-07-26 11:21:31	ga_ls8c_ard_3-2-0_110078_2021-07-26_final
2021-08-11 11:21:37	ga_ls8c_ard_3-2-0_110078_2021-08-11_final
2021-08-27 11:21:42	ga_ls8c_ard_3-2-0_110078_2021-08-27_final
2021-09-12 11:21:47	ga_ls8c_ard_3-2-0_110078_2021-09-12_final
2021-09-28 11:21:50	ga_ls8c_ard_3-2-0_110078_2021-09-28_final
2021-10-14 11:21:55	ga_ls8c_ard_3-2-0_110078_2021-10-14_final
2021-10-30 11:21:56	ga_ls8c_ard_3-2-0_110078_2021-10-30_final
2021-11-15 11:21:51	ga_ls8c_ard_3-2-0_110078_2021-11-15_final
2021-12-01 11:21:52	ga_ls8c_ard_3-2-0_110078_2021-12-01_final
2021-12-17 11:21:50	ga_ls8c_ard_3-2-1_110078_2021-12-17_final
2022-01-02 11:21:45	ga_ls8c_ard_3-2-1_110078_2022-01-02_final
2022-01-18 11:21:42	ga_ls8c_ard_3-2-1_110078_2022-01-18_final
2022-02-03 11:21:38	ga_ls8c_ard_3-2-1_110078_2022-02-03_final
2022-02-19 11:21:32	ga_ls8c_ard_3-2-1_110078_2022-02-19_final
2022-03-07 11:21:30	ga_ls8c_ard_3-2-1_110078_2022-03-07_final
2022-03-23 11:21:20	ga_ls8c_ard_3-2-1_110078_2022-03-23_final
2022-04-08 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-08_final
2022-04-24 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-24_final
2022-05-10 11:21:23	ga_ls8c_ard_3-2-1_110078_2022-05-10_final
2022-05-26 11:21:26	ga_ls8c_ard_3-2-1_110078_2022-05-26_final
2022-06-11 11:21:38	ga_ls8c_ard_3-2-1_110078_2022-06-11_final
2022-06-27 11:21:44	ga_ls8c_ard_3-2-1_110078_2022-06-27_final
2022-07-13 11:21:44	ga_ls8c_ard_3-2-1_110078_2022-07-13_final
2022-07-29 11:21:54	ga_ls8c_ard_3-2-1_110078_2022-07-29_final
2022-08-14 11:22:01	ga_ls8c_ard_3-2-1_110078_2022-08-14_final
2022-08-30 11:22:02	ga_ls8c_ard_3-2-1_110078_2022-08-30_final
2022-09-15 11:22:08	ga_ls8c_ard_3-2-1_110078_2022-09-15_final
2022-10-01 11:22:08	ga_ls8c_ard_3-2-1_110078_2022-10-01_final
2022-10-17 11:22:02	ga_ls8c_ard_3-2-1_110078_2022-10-17_final
2022-11-02 11:22:09	ga_ls8c_ard_3-2-1_110078_2022-11-02_final
2022-11-18 11:22:01	ga_ls8c_ard_3-2-1_110078_2022-11-18_final
2022-12-04 11:22:04	ga_ls8c_ard_3-2-1_110078_2022-12-04_final
2022-12-20 11:21:55	ga_ls8c_ard_3-2-1_110078_2022-12-20_final
2023-01-05 11:21:55	ga_ls8c_ard_3-2-1_110078_2023-01-05_final
2023-01-21 11:21:49	ga_ls8c_ard_3-2-1_110078_2023-01-21_final
2023-02-06 11:21:52	ga_ls8c_ard_3-2-1_110078_2023-02-06_final
2023-02-22 11:21:38	ga_ls8c_ard_3-2-1_110078_2023-02-22_final
2023-03-10 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-03-10_final
2023-03-26 11:21:20	ga_ls8c_ard_3-2-1_110078_2023-03-26_final
2023-04-11 11:21:04	ga_ls8c_ard_3-2-1_110078_2023-04-11_final
2023-04-27 11:21:00	ga_ls8c_ard_3-2-1_110078_2023-04-27_final
2023-05-13 11:20:48	ga_ls8c_ard_3-2-1_110078_2023-05-13_final
2023-05-29 11:20:49	ga_ls8c_ard_3-2-1_110078_2023-05-29_final
2023-06-14 11:20:57	ga_ls8c_ard_3-2-1_110078_2023-06-14_final
2023-06-30 11:21:06	ga_ls8c_ard_3-2-1_110078_2023-06-30_final
2023-07-16 11:21:12	ga_ls8c_ard_3-2-1_110078_2023-07-16_final
2023-08-01 11:21:21	ga_ls8c_ard_3-2-1_110078_2023-08-01_final
2023-08-17 11:21:26	ga_ls8c_ard_3-2-1_110078_2023-08-17_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years