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
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-12-24 09:17:34	ga_ls8c_ard_3-0-0_089089_2013-12-23_final
2014-01-14 09:35:50	ga_ls8c_ard_3-0-0_092089_2014-01-14_final
2014-01-16 09:23:26	ga_ls8c_ard_3-0-0_090089_2014-01-15_final
2014-01-30 09:35:44	ga_ls8c_ard_3-0-0_092089_2014-01-30_final
2014-02-01 09:23:21	ga_ls8c_ard_3-0-0_090089_2014-01-31_final
2014-07-20 09:15:59	ga_ls8c_ard_3-0-0_089089_2014-07-19_final
2014-08-03 09:28:27	ga_ls8c_ard_3-0-0_091089_2014-08-02_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2014-09-20 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-19_final
2014-09-22 09:16:12	ga_ls8c_ard_3-0-0_089089_2014-09-21_final
2014-10-06 09:28:40	ga_ls8c_ard_3-0-0_091089_2014-10-05_final
2014-10-13 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-10-13_final
2016-01-22 09:22:22	ga_ls8c_ard_3-1-0_090089_2016-01-21_final
2016-01-25 09:52:52	ga_ls8c_ard_3-0-0_095088_2016-01-25_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2016-02-07 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-02-06_final
2016-03-10 09:22:09	ga_ls8c_ard_3-0-0_090089_2016-03-09_final
2016-03-31 09:40:05	ga_ls8c_ard_3-0-0_093088_2016-03-31_final
2016-06-10 09:46:18	ga_ls8c_ard_3-0-0_094088_2016-06-10_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_final
2018-05-26 09:27:20	ga_ls8c_ard_3-0-0_091089_2018-05-25_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-04 09:21:04	ga_ls8c_ard_3-0-0_090089_2018-06-03_final
2018-06-13 09:14:34	ga_ls8c_ard_3-0-0_089088_2018-06-12_final
2018-06-13 09:14:58	ga_ls8c_ard_3-0-0_089089_2018-06-12_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-13 09:27:37	ga_ls8c_ard_3-0-0_091089_2018-07-12_final
2018-08-14 09:27:29	ga_ls8c_ard_3-0-0_091088_2018-08-13_final
2018-08-14 09:27:53	ga_ls8c_ard_3-0-0_091089_2018-08-13_final
2018-08-16 09:15:09	ga_ls8c_ard_3-0-0_089088_2018-08-15_final
2018-08-16 09:15:33	ga_ls8c_ard_3-0-0_089089_2018-08-15_final
2018-09-01 09:15:16	ga_ls8c_ard_3-0-0_089088_2018-08-31_final
2018-09-01 09:15:40	ga_ls8c_ard_3-0-0_089089_2018-08-31_final
2018-09-22 09:33:54	ga_ls8c_ard_3-0-0_092088_2018-09-22_final
2018-09-22 09:34:18	ga_ls8c_ard_3-0-0_092089_2018-09-22_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-10-03 09:15:28	ga_ls8c_ard_3-0-0_089088_2018-10-02_final
2018-10-03 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-10-02_final
2018-10-19 09:15:34	ga_ls8c_ard_3-0-0_089088_2018-10-18_final
2018-10-19 09:15:58	ga_ls8c_ard_3-0-0_089089_2018-10-18_final
2018-10-24 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-10-24_final
2018-10-26 09:21:47	ga_ls8c_ard_3-0-0_090088_2018-10-25_final
2018-10-26 09:22:11	ga_ls8c_ard_3-0-0_090089_2018-10-25_final
2018-11-02 09:27:59	ga_ls8c_ard_3-0-0_091088_2018-11-01_final
2018-11-02 09:28:23	ga_ls8c_ard_3-0-0_091089_2018-11-01_final
2018-11-09 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-09_final
2018-11-09 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-09_final
2018-11-11 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-10_final
2018-11-11 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-10_final
2018-11-25 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-25_final
2018-11-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-26_final
2018-12-20 09:28:21	ga_ls8c_ard_3-0-0_091089_2018-12-19_final
2018-12-22 09:15:35	ga_ls8c_ard_3-0-0_089088_2018-12-21_final
2018-12-22 09:15:59	ga_ls8c_ard_3-0-0_089089_2018-12-21_final
2018-12-27 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-27_final
2018-12-27 09:34:31	ga_ls8c_ard_3-0-0_092089_2018-12-27_final
2018-12-29 09:22:10	ga_ls8c_ard_3-0-0_090089_2018-12-28_final
2019-01-12 09:34:06	ga_ls8c_ard_3-0-0_092088_2019-01-12_final
2019-01-12 09:34:30	ga_ls8c_ard_3-0-0_092089_2019-01-12_final
2019-01-14 09:22:08	ga_ls8c_ard_3-0-0_090089_2019-01-13_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-08-06 09:46:42	ga_ls8c_ard_3-1-0_094088_2019-08-06_final
2019-08-08 09:34:21	ga_ls8c_ard_3-1-0_092088_2019-08-08_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-11-12 09:35:00	ga_ls8c_ard_3-1-0_092089_2019-11-12_final
2019-11-14 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-11-13_final
2019-11-14 09:22:38	ga_ls8c_ard_3-1-0_090089_2019-11-13_final
2019-11-28 09:34:58	ga_ls8c_ard_3-1-0_092089_2019-11-28_final
2019-11-30 09:22:36	ga_ls8c_ard_3-1-0_090089_2019-11-29_final
2019-12-09 09:16:01	ga_ls8c_ard_3-1-0_089088_2019-12-08_final
2019-12-09 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-12-08_final
2020-02-11 09:15:45	ga_ls8c_ard_3-1-0_089088_2020-02-10_final
2020-02-11 09:16:09	ga_ls8c_ard_3-1-0_089089_2020-02-10_final
2020-02-27 09:16:05	ga_ls8c_ard_3-1-0_089089_2020-02-26_final
2020-03-30 09:15:25	ga_ls8c_ard_3-1-0_089088_2020-03-29_final
2020-03-30 09:15:49	ga_ls8c_ard_3-1-0_089089_2020-03-29_final
2020-04-13 09:28:05	ga_ls8c_ard_3-1-0_091089_2020-04-12_final
2020-04-15 09:15:42	ga_ls8c_ard_3-1-0_089089_2020-04-14_final
2020-04-20 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-04-20_final
2020-05-17 09:15:08	ga_ls8c_ard_3-1-0_089088_2020-05-16_final
2020-05-17 09:15:32	ga_ls8c_ard_3-1-0_089089_2020-05-16_final
2020-06-02 09:15:13	ga_ls8c_ard_3-1-0_089088_2020-06-01_final
2020-06-02 09:15:37	ga_ls8c_ard_3-1-0_089089_2020-06-01_final
2020-06-16 09:28:07	ga_ls8c_ard_3-1-0_091089_2020-06-15_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-10-12 09:28:59	ga_ls8c_ard_3-2-1_091089_2022-10-11_final
2022-10-14 09:16:12	ga_ls8c_ard_3-2-1_089088_2022-10-13_final
2022-10-14 09:16:36	ga_ls8c_ard_3-2-1_089089_2022-10-13_final
2022-10-19 09:35:12	ga_ls8c_ard_3-2-1_092089_2022-10-19_final
2022-10-21 09:22:52	ga_ls8c_ard_3-2-1_090089_2022-10-20_final
2022-11-04 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-11-04_final
2022-11-06 09:22:31	ga_ls8c_ard_3-2-1_090088_2022-11-05_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