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
2013-06-29 09:30:25	ga_ls8c_ard_3-0-0_091089_2013-06-29_final
2013-06-29 09:30:49	ga_ls8c_ard_3-0-0_091090_2013-06-29_final
2013-07-17 09:18:05	ga_ls8c_ard_3-0-0_089089_2013-07-16_final
2013-07-17 09:18:29	ga_ls8c_ard_3-0-0_089090_2013-07-16_final
2013-08-18 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-17_final
2013-08-18 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-17_final
2013-09-01 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-09-01_final
2013-09-01 09:30:55	ga_ls8c_ard_3-0-0_091090_2013-09-01_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-19 09:18:27	ga_ls8c_ard_3-0-0_089090_2013-09-18_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-10-28 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-10-27_final
2013-10-28 09:24:24	ga_ls8c_ard_3-0-0_090090_2013-10-27_final
2013-11-04 09:30:13	ga_ls8c_ard_3-0-0_091089_2013-11-04_final
2013-11-04 09:30:37	ga_ls8c_ard_3-0-0_091090_2013-11-04_final
2013-11-11 09:36:23	ga_ls8c_ard_3-0-0_092089_2013-11-11_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-05 09:28:19	ga_ls8c_ard_3-0-0_091090_2015-07-04_final
2015-08-06 09:28:05	ga_ls8c_ard_3-0-0_091089_2015-08-05_final
2015-08-06 09:28:29	ga_ls8c_ard_3-0-0_091090_2015-08-05_final
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-09-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2015-09-22_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2016-11-03 09:35:00	ga_ls8c_ard_3-0-0_092089_2016-11-03_final
2016-11-03 09:35:24	ga_ls8c_ard_3-0-0_092090_2016-11-03_final
2016-11-05 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-04_final
2016-11-05 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-04_final
2016-11-12 09:28:48	ga_ls8c_ard_3-0-0_091089_2016-11-11_final
2016-11-12 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-11_final
2016-11-14 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-11-13_final
2016-11-14 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-11-13_final
2016-11-19 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-11-19_final
2016-11-19 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-11-19_final
2016-11-28 09:28:48	ga_ls8c_ard_3-0-0_091089_2016-11-27_final
2016-11-28 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-27_final
2016-12-05 09:34:58	ga_ls8c_ard_3-0-0_092089_2016-12-05_final
2016-12-05 09:35:22	ga_ls8c_ard_3-0-0_092090_2016-12-05_final
2016-12-16 09:16:22	ga_ls8c_ard_3-0-0_089089_2016-12-15_final
2016-12-16 09:16:46	ga_ls8c_ard_3-0-0_089090_2016-12-15_final
2017-01-06 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-01-06_final
2017-01-08 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-01-07_final
2017-01-08 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-01-07_final
2017-01-15 09:28:38	ga_ls8c_ard_3-0-0_091089_2017-01-14_final
2017-01-15 09:29:02	ga_ls8c_ard_3-0-0_091090_2017-01-14_final
2017-01-17 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-01-16_final
2017-01-17 09:16:39	ga_ls8c_ard_3-0-0_089090_2017-01-16_final
2017-01-24 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-01-23_final
2017-01-24 09:22:48	ga_ls8c_ard_3-0-0_090090_2017-01-23_final
2017-01-31 09:28:31	ga_ls8c_ard_3-0-0_091089_2017-01-30_final
2017-01-31 09:28:55	ga_ls8c_ard_3-0-0_091090_2017-01-30_final
2017-02-07 09:34:38	ga_ls8c_ard_3-0-0_092089_2017-02-07_final
2017-02-07 09:35:02	ga_ls8c_ard_3-0-0_092090_2017-02-07_final
2017-02-16 09:28:24	ga_ls8c_ard_3-0-0_091089_2017-02-15_final
2017-02-16 09:28:48	ga_ls8c_ard_3-0-0_091090_2017-02-15_final
2017-03-11 09:34:25	ga_ls8c_ard_3-0-0_092089_2017-03-11_final
2017-03-11 09:34:49	ga_ls8c_ard_3-0-0_092090_2017-03-11_final
2018-03-30 09:34:07	ga_ls8c_ard_3-0-0_092089_2018-03-30_final
2018-03-30 09:34:31	ga_ls8c_ard_3-0-0_092090_2018-03-30_final
2018-04-10 09:15:28	ga_ls8c_ard_3-0-0_089089_2018-04-09_final
2018-04-10 09:15:52	ga_ls8c_ard_3-0-0_089090_2018-04-09_final
2018-04-15 09:33:58	ga_ls8c_ard_3-0-0_092089_2018-04-15_final
2018-04-15 09:34:22	ga_ls8c_ard_3-0-0_092090_2018-04-15_final
2018-05-01 09:34:13	ga_ls8c_ard_3-0-0_092090_2018-05-01_final
2018-05-28 09:14:57	ga_ls8c_ard_3-0-0_089089_2018-05-27_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-06-13 09:14:58	ga_ls8c_ard_3-0-0_089089_2018-06-12_final
2018-06-13 09:15:22	ga_ls8c_ard_3-0-0_089090_2018-06-12_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-06-29 09:15:33	ga_ls8c_ard_3-0-0_089090_2018-06-28_final
2020-09-27 09:34:57	ga_ls8c_ard_3-1-0_092089_2020-09-27_final
2020-09-27 09:35:21	ga_ls8c_ard_3-1-0_092090_2020-09-27_final
2020-10-06 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-05_final
2020-10-06 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-10-05_final
2020-10-08 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-07_final
2020-10-08 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-07_final
2020-10-24 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-10-23_final
2020-10-24 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-23_final
2020-10-29 09:34:58	ga_ls8c_ard_3-1-0_092089_2020-10-29_final
2020-10-29 09:35:22	ga_ls8c_ard_3-1-0_092090_2020-10-29_final
2020-11-23 09:28:47	ga_ls8c_ard_3-1-0_091089_2020-11-22_final
2020-11-23 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-11-22_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-25 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-11-24_final
2020-11-30 09:35:00	ga_ls8c_ard_3-1-0_092089_2020-11-30_final
2020-11-30 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-11-30_final
2020-12-02 09:22:38	ga_ls8c_ard_3-1-0_090089_2020-12-01_final
2020-12-02 09:23:02	ga_ls8c_ard_3-1-0_090090_2020-12-01_final
2021-04-23 09:34:16	ga_ls8c_ard_3-2-0_092089_2021-04-23_final
2021-04-23 09:34:40	ga_ls8c_ard_3-2-0_092090_2021-04-23_final
2021-04-25 09:21:54	ga_ls8c_ard_3-2-0_090089_2021-04-24_final
2021-04-25 09:22:18	ga_ls8c_ard_3-2-0_090090_2021-04-24_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-05-04 09:16:01	ga_ls8c_ard_3-2-0_089090_2021-05-03_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-05-25 09:34:44	ga_ls8c_ard_3-2-0_092090_2021-05-25_final
2021-05-27 09:21:59	ga_ls8c_ard_3-2-0_090089_2021-05-26_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