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
2014-03-03 09:35:14	ga_ls8c_ard_3-0-0_092089_2014-03-03_final
2014-03-10 09:40:59	ga_ls8c_ard_3-0-0_093088_2014-03-10_final
2014-03-12 09:29:00	ga_ls8c_ard_3-0-0_091089_2014-03-11_final
2014-04-20 09:34:09	ga_ls8c_ard_3-0-0_092088_2014-04-20_final
2014-04-20 09:34:33	ga_ls8c_ard_3-0-0_092089_2014-04-20_final
2014-04-27 09:40:15	ga_ls8c_ard_3-0-0_093088_2014-04-27_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-11 09:21:45	ga_ls8c_ard_3-0-0_090088_2014-07-10_final
2014-07-11 09:22:09	ga_ls8c_ard_3-0-0_090089_2014-07-10_final
2016-04-30 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-30_final
2016-05-02 09:40:03	ga_ls8c_ard_3-0-0_093088_2016-05-02_final
2016-05-20 09:27:40	ga_ls8c_ard_3-0-0_091088_2016-05-19_final
2016-05-20 09:28:04	ga_ls8c_ard_3-0-0_091089_2016-05-19_final
2016-05-22 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-21_final
2016-05-22 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-21_final
2016-05-27 09:33:53	ga_ls8c_ard_3-0-0_092088_2016-05-27_final
2016-05-27 09:34:17	ga_ls8c_ard_3-0-0_092089_2016-05-27_final
2016-05-29 09:21:32	ga_ls8c_ard_3-0-0_090088_2016-05-28_final
2016-05-29 09:21:56	ga_ls8c_ard_3-0-0_090089_2016-05-28_final
2016-06-10 09:46:18	ga_ls8c_ard_3-0-0_094088_2016-06-10_final
2016-07-07 09:27:58	ga_ls8c_ard_3-0-0_091088_2016-07-06_final
2016-07-07 09:28:22	ga_ls8c_ard_3-0-0_091089_2016-07-06_final
2016-07-09 09:15:37	ga_ls8c_ard_3-0-0_089088_2016-07-08_final
2016-07-09 09:16:01	ga_ls8c_ard_3-0-0_089089_2016-07-08_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-07-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2016-07-22_final
2016-07-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2016-07-24_final
2016-07-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2016-07-24_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-08 09:28:30	ga_ls8c_ard_3-0-0_091089_2016-08-07_final
2017-10-21 09:34:33	ga_ls8c_ard_3-0-0_092088_2017-10-21_final
2017-10-21 09:34:57	ga_ls8c_ard_3-0-0_092089_2017-10-21_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-10-23 09:22:35	ga_ls8c_ard_3-0-0_090089_2017-10-22_final
2017-11-01 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-31_final
2017-11-01 09:16:24	ga_ls8c_ard_3-0-0_089089_2017-10-31_final
2017-11-06 09:34:32	ga_ls8c_ard_3-0-0_092088_2017-11-06_final
2017-11-06 09:34:56	ga_ls8c_ard_3-0-0_092089_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-11-17 09:15:57	ga_ls8c_ard_3-0-0_089088_2017-11-16_final
2017-11-17 09:16:21	ga_ls8c_ard_3-0-0_089089_2017-11-16_final
2017-11-22 09:34:27	ga_ls8c_ard_3-0-0_092088_2017-11-22_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_final
2017-12-03 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-12-02_final
2017-12-19 09:15:54	ga_ls8c_ard_3-0-0_089088_2017-12-18_final
2017-12-19 09:16:18	ga_ls8c_ard_3-0-0_089089_2017-12-18_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2018-01-04 09:15:51	ga_ls8c_ard_3-0-0_089088_2018-01-03_final
2018-01-04 09:16:15	ga_ls8c_ard_3-0-0_089089_2018-01-03_final
2018-01-09 09:34:21	ga_ls8c_ard_3-0-0_092088_2018-01-09_final
2018-01-09 09:34:45	ga_ls8c_ard_3-0-0_092089_2018-01-09_final
2018-01-11 09:21:58	ga_ls8c_ard_3-0-0_090088_2018-01-10_final
2018-01-11 09:22:22	ga_ls8c_ard_3-0-0_090089_2018-01-10_final
2018-01-18 09:28:06	ga_ls8c_ard_3-0-0_091088_2018-01-17_final
2018-01-18 09:28:30	ga_ls8c_ard_3-0-0_091089_2018-01-17_final
2018-01-20 09:15:43	ga_ls8c_ard_3-0-0_089088_2018-01-19_final
2018-01-20 09:16:07	ga_ls8c_ard_3-0-0_089089_2018-01-19_final
2018-01-25 09:34:12	ga_ls8c_ard_3-0-0_092088_2018-01-25_final
2018-01-25 09:34:36	ga_ls8c_ard_3-0-0_092089_2018-01-25_final
2018-01-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-01-26_final
2018-01-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-01-26_final
2018-10-06 09:46:23	ga_ls8c_ard_3-0-0_094088_2018-10-06_final
2018-11-23 09:46:32	ga_ls8c_ard_3-0-0_094088_2018-11-23_final
2018-12-09 09:46:30	ga_ls8c_ard_3-0-0_094088_2018-12-09_final
2018-12-25 09:46:29	ga_ls8c_ard_3-0-0_094088_2018-12-25_final
2019-01-10 09:46:28	ga_ls8c_ard_3-0-0_094088_2019-01-10_final
2019-02-11 09:46:22	ga_ls8c_ard_3-0-0_094088_2019-02-11_final
2019-02-13 09:34:00	ga_ls8c_ard_3-0-0_092088_2019-02-13_final
2019-02-13 09:34:24	ga_ls8c_ard_3-0-0_092089_2019-02-13_final
2019-02-22 09:27:47	ga_ls8c_ard_3-0-0_091088_2019-02-21_final
2019-02-22 09:28:11	ga_ls8c_ard_3-0-0_091089_2019-02-21_final
2019-02-24 09:15:25	ga_ls8c_ard_3-0-0_089088_2019-02-23_final
2019-02-24 09:15:49	ga_ls8c_ard_3-0-0_089089_2019-02-23_final
2019-03-01 09:33:56	ga_ls8c_ard_3-0-0_092088_2019-03-01_final
2019-03-01 09:34:20	ga_ls8c_ard_3-0-0_092089_2019-03-01_final
2019-03-03 09:21:34	ga_ls8c_ard_3-0-0_090088_2019-03-02_final
2019-03-03 09:21:58	ga_ls8c_ard_3-0-0_090089_2019-03-02_final
2019-03-10 09:27:42	ga_ls8c_ard_3-1-0_091088_2019-03-09_final
2019-03-10 09:28:06	ga_ls8c_ard_3-1-0_091089_2019-03-09_final
2019-03-26 09:28:02	ga_ls8c_ard_3-1-0_091089_2019-03-25_final
2019-03-28 09:15:16	ga_ls8c_ard_3-1-0_089088_2019-03-27_final
2019-03-28 09:15:40	ga_ls8c_ard_3-1-0_089089_2019-03-27_final
2019-03-31 09:46:09	ga_ls8c_ard_3-1-0_094088_2019-03-31_final
2019-04-02 09:33:47	ga_ls8c_ard_3-1-0_092088_2019-04-02_final
2019-04-02 09:34:11	ga_ls8c_ard_3-1-0_092089_2019-04-02_final
2019-04-13 09:15:11	ga_ls8c_ard_3-1-0_089088_2019-04-12_final
2019-04-13 09:15:35	ga_ls8c_ard_3-1-0_089089_2019-04-12_final
2019-05-13 09:27:37	ga_ls8c_ard_3-0-0_091088_2019-05-12_final
2019-05-13 09:28:01	ga_ls8c_ard_3-0-0_091089_2019-05-12_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-15 09:15:41	ga_ls8c_ard_3-0-0_089089_2019-05-14_final
2019-05-18 09:46:13	ga_ls8c_ard_3-0-0_094088_2019-05-18_final
2019-05-20 09:33:52	ga_ls8c_ard_3-0-0_092088_2019-05-20_final
2019-05-20 09:34:16	ga_ls8c_ard_3-0-0_092089_2019-05-20_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_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