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
2014-02-04 11:29:30	ga_ls8c_ard_3-0-0_111080_2014-02-04_final
2014-04-09 11:28:35	ga_ls8c_ard_3-0-0_111080_2014-04-09_final
2014-04-25 11:28:19	ga_ls8c_ard_3-0-0_111080_2014-04-25_final
2014-05-11 11:28:04	ga_ls8c_ard_3-0-0_111080_2014-05-11_final
2014-06-28 11:28:12	ga_ls8c_ard_3-0-0_111080_2014-06-28_final
2014-07-14 11:28:21	ga_ls8c_ard_3-0-0_111080_2014-07-14_final
2014-09-16 11:28:37	ga_ls8c_ard_3-0-0_111080_2014-09-16_final
2014-10-18 11:28:43	ga_ls8c_ard_3-0-0_111080_2014-10-18_final
2014-11-19 11:28:39	ga_ls8c_ard_3-0-0_111080_2014-11-19_final
2015-02-23 11:28:17	ga_ls8c_ard_3-0-0_111080_2015-02-23_final
2015-03-11 11:28:07	ga_ls8c_ard_3-0-0_111080_2015-03-11_final
2015-04-28 11:27:46	ga_ls8c_ard_3-0-0_111080_2015-04-28_final
2015-07-17 11:28:02	ga_ls8c_ard_3-0-0_111080_2015-07-17_final
2015-08-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2015-08-18_final
2015-10-21 11:28:32	ga_ls8c_ard_3-0-0_111080_2015-10-21_final
2015-11-06 11:28:36	ga_ls8c_ard_3-0-0_111080_2015-11-06_final
2015-11-22 11:28:38	ga_ls8c_ard_3-0-0_111080_2015-11-22_final
2015-12-08 11:28:36	ga_ls8c_ard_3-0-0_111080_2015-12-08_final
2015-12-24 11:28:37	ga_ls8c_ard_3-0-0_111080_2015-12-24_final
2016-01-09 11:28:33	ga_ls8c_ard_3-0-0_111080_2016-01-09_final
2016-02-10 11:28:28	ga_ls8c_ard_3-0-0_111080_2016-02-10_final
2016-03-29 11:28:10	ga_ls8c_ard_3-0-0_111080_2016-03-29_final
2016-04-14 11:28:04	ga_ls8c_ard_3-0-0_111080_2016-04-14_final
2016-04-30 11:28:04	ga_ls8c_ard_3-0-0_111080_2016-04-30_final
2016-05-16 11:28:02	ga_ls8c_ard_3-0-0_111080_2016-05-16_final
2016-06-01 11:28:08	ga_ls8c_ard_3-0-0_111080_2016-06-01_final
2016-06-17 11:28:11	ga_ls8c_ard_3-0-0_111080_2016-06-17_final
2016-07-03 11:28:21	ga_ls8c_ard_3-0-0_111080_2016-07-03_final
2016-07-19 11:28:27	ga_ls8c_ard_3-0-0_111080_2016-07-19_final
2016-08-20 11:28:35	ga_ls8c_ard_3-0-0_111080_2016-08-20_final
2016-09-05 11:28:41	ga_ls8c_ard_3-0-0_111080_2016-09-05_final
2016-10-07 11:28:46	ga_ls8c_ard_3-0-0_111080_2016-10-07_final
2016-10-23 11:28:50	ga_ls8c_ard_3-0-0_111080_2016-10-23_final
2016-11-08 11:28:49	ga_ls8c_ard_3-0-0_111080_2016-11-08_final
2016-11-24 11:28:49	ga_ls8c_ard_3-0-0_111080_2016-11-24_final
2017-01-11 11:28:39	ga_ls8c_ard_3-0-0_111080_2017-01-11_final
2017-02-12 11:28:26	ga_ls8c_ard_3-0-0_111080_2017-02-12_final
2017-04-01 11:28:03	ga_ls8c_ard_3-0-0_111080_2017-04-01_final
2017-05-03 11:27:45	ga_ls8c_ard_3-0-0_111080_2017-05-03_final
2017-06-04 11:28:06	ga_ls8c_ard_3-0-0_111080_2017-06-04_final
2017-06-20 11:28:13	ga_ls8c_ard_3-0-0_111080_2017-06-20_final
2017-07-22 11:28:22	ga_ls8c_ard_3-0-0_111080_2017-07-22_final
2017-08-23 11:28:34	ga_ls8c_ard_3-0-0_111080_2017-08-23_final
2017-09-08 11:28:35	ga_ls8c_ard_3-0-0_111080_2017-09-08_final
2019-12-19 11:28:46	ga_ls8c_ard_3-2-0_111080_2019-12-19_final
2020-01-04 11:28:41	ga_ls8c_ard_3-1-0_111080_2020-01-04_final
2020-03-08 11:28:24	ga_ls8c_ard_3-1-0_111080_2020-03-08_final
2020-04-09 11:28:07	ga_ls8c_ard_3-1-0_111080_2020-04-09_final
2020-06-12 11:28:06	ga_ls8c_ard_3-1-0_111080_2020-06-12_final
2020-09-16 11:28:44	ga_ls8c_ard_3-1-0_111080_2020-09-16_final
2020-12-05 11:28:50	ga_ls8c_ard_3-1-0_111080_2020-12-05_final
2020-12-21 11:28:49	ga_ls8c_ard_3-2-0_111080_2020-12-21_final
2021-01-06 11:28:44	ga_ls8c_ard_3-2-0_111080_2021-01-06_final
2021-01-22 11:28:37	ga_ls8c_ard_3-2-0_111080_2021-01-22_final
2021-02-07 11:28:35	ga_ls8c_ard_3-2-0_111080_2021-02-07_final
2021-02-23 11:28:31	ga_ls8c_ard_3-2-0_111080_2021-02-23_final
2021-03-11 11:28:22	ga_ls8c_ard_3-2-0_111080_2021-03-11_final
2021-03-27 11:28:17	ga_ls8c_ard_3-2-0_111080_2021-03-27_final
2021-04-12 11:28:11	ga_ls8c_ard_3-2-0_111080_2021-04-12_final
2021-04-28 11:28:03	ga_ls8c_ard_3-2-0_111080_2021-04-28_final
2021-05-14 11:28:03	ga_ls8c_ard_3-2-0_111080_2021-05-14_final
2021-05-30 11:28:12	ga_ls8c_ard_3-2-0_111080_2021-05-30_final
2021-06-15 11:28:19	ga_ls8c_ard_3-2-0_111080_2021-06-15_final
2021-07-01 11:28:22	ga_ls8c_ard_3-2-0_111080_2021-07-01_final
2021-07-17 11:28:24	ga_ls8c_ard_3-2-0_111080_2021-07-17_final
2021-08-02 11:28:33	ga_ls8c_ard_3-2-0_111080_2021-08-02_final
2021-08-18 11:28:38	ga_ls8c_ard_3-2-0_111080_2021-08-18_final
2021-09-03 11:28:43	ga_ls8c_ard_3-2-0_111080_2021-09-03_final
2021-09-19 11:28:46	ga_ls8c_ard_3-2-0_111080_2021-09-19_final
2021-10-05 11:28:52	ga_ls8c_ard_3-2-0_111080_2021-10-05_final
2021-10-21 11:28:55	ga_ls8c_ard_3-2-0_111080_2021-10-21_final
2021-11-06 11:28:53	ga_ls8c_ard_3-2-0_111080_2021-11-06_final
2021-11-22 11:28:49	ga_ls8c_ard_3-2-0_111080_2021-11-22_final
2021-12-08 11:28:50	ga_ls8c_ard_3-2-1_111080_2021-12-08_final
2021-12-24 11:28:47	ga_ls8c_ard_3-2-1_111080_2021-12-24_final
2022-01-09 11:28:43	ga_ls8c_ard_3-2-1_111080_2022-01-09_final
2022-01-25 11:28:38	ga_ls8c_ard_3-2-1_111080_2022-01-25_final
2022-02-10 11:28:35	ga_ls8c_ard_3-2-1_111080_2022-02-10_final
2022-02-26 11:28:30	ga_ls8c_ard_3-2-1_111080_2022-02-26_final
2022-03-14 11:28:25	ga_ls8c_ard_3-2-1_111080_2022-03-14_final
2022-03-30 11:28:13	ga_ls8c_ard_3-2-1_111080_2022-03-30_final
2022-04-15 11:28:19	ga_ls8c_ard_3-2-1_111080_2022-04-15_final
2022-05-01 11:28:16	ga_ls8c_ard_3-2-1_111080_2022-05-01_final
2022-05-17 11:28:25	ga_ls8c_ard_3-2-1_111080_2022-05-17_final
2022-06-02 11:28:29	ga_ls8c_ard_3-2-1_111080_2022-06-02_final
2022-06-18 11:28:41	ga_ls8c_ard_3-2-1_111080_2022-06-18_final
2022-07-04 11:28:43	ga_ls8c_ard_3-2-1_111080_2022-07-04_final
2022-07-20 11:28:46	ga_ls8c_ard_3-2-1_111080_2022-07-20_final
2022-08-05 11:28:56	ga_ls8c_ard_3-2-1_111080_2022-08-05_final
2022-08-21 11:29:01	ga_ls8c_ard_3-2-1_111080_2022-08-21_final
2022-09-06 11:29:02	ga_ls8c_ard_3-2-1_111080_2022-09-06_final
2022-09-22 11:29:08	ga_ls8c_ard_3-2-1_111080_2022-09-22_final
2022-10-08 11:29:03	ga_ls8c_ard_3-2-1_111080_2022-10-08_final
2022-10-24 11:29:05	ga_ls8c_ard_3-2-1_111080_2022-10-24_final
2022-11-09 11:29:06	ga_ls8c_ard_3-2-1_111080_2022-11-09_final
2022-11-25 11:29:02	ga_ls8c_ard_3-2-1_111080_2022-11-25_final
2022-12-11 11:29:00	ga_ls8c_ard_3-2-1_111080_2022-12-11_final
2022-12-27 11:28:53	ga_ls8c_ard_3-2-1_111080_2022-12-27_final
2023-01-12 11:28:50	ga_ls8c_ard_3-2-1_111080_2023-01-12_final
2023-02-13 11:28:46	ga_ls8c_ard_3-2-1_111080_2023-02-13_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