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
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-11-30 09:34:27	ga_ls8c_ard_3-0-0_092088_2014-11-30_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-07 09:40:34	ga_ls8c_ard_3-0-0_093088_2014-12-07_final
2014-12-09 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-12-08_final
2014-12-09 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-12-08_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-03-22 09:33:48	ga_ls8c_ard_3-0-0_092088_2015-03-22_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2015-04-07 09:33:37	ga_ls8c_ard_3-0-0_092088_2015-04-07_final
2015-04-09 09:21:16	ga_ls8c_ard_3-0-0_090088_2015-04-08_final
2015-05-02 09:27:17	ga_ls8c_ard_3-0-0_091088_2015-05-01_final
2015-05-04 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-05-03_final
2015-05-23 09:45:16	ga_ls8c_ard_3-0-0_094087_2015-05-23_final
2015-05-25 09:32:55	ga_ls8c_ard_3-0-0_092087_2015-05-25_final
2015-05-25 09:33:19	ga_ls8c_ard_3-0-0_092088_2015-05-25_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-06-28 09:21:15	ga_ls8c_ard_3-0-0_090088_2015-06-27_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-12-28 09:27:48	ga_ls8c_ard_3-0-0_091087_2015-12-27_final
2015-12-28 09:28:12	ga_ls8c_ard_3-0-0_091088_2015-12-27_final
2015-12-30 09:15:26	ga_ls8c_ard_3-0-0_089087_2015-12-29_final
2015-12-30 09:15:49	ga_ls8c_ard_3-0-0_089088_2015-12-29_final
2016-01-13 09:27:45	ga_ls8c_ard_3-0-0_091087_2016-01-12_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-01-16 09:58:39	ga_ls8c_ard_3-0-0_096087_2016-01-16_final
2016-03-01 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-02-29_final
2016-03-01 09:27:58	ga_ls8c_ard_3-0-0_091088_2016-02-29_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-17 09:27:53	ga_ls8c_ard_3-0-0_091088_2016-03-16_final
2016-03-19 09:15:30	ga_ls8c_ard_3-0-0_089088_2016-03-18_final
2016-04-02 09:27:43	ga_ls8c_ard_3-0-0_091088_2016-04-01_final
2016-04-04 09:14:57	ga_ls8c_ard_3-0-0_089087_2016-04-03_final
2016-04-04 09:15:21	ga_ls8c_ard_3-0-0_089088_2016-04-03_final
2016-04-20 09:15:15	ga_ls8c_ard_3-0-0_089088_2016-04-19_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-02-08 09:46:27	ga_ls8c_ard_3-0-0_094088_2018-02-08_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-03-12 09:45:48	ga_ls8c_ard_3-0-0_094087_2018-03-12_final
2018-03-12 09:46:12	ga_ls8c_ard_3-0-0_094088_2018-03-12_final
2018-03-28 09:46:05	ga_ls8c_ard_3-0-0_094088_2018-03-28_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-07-31 09:15:00	ga_ls8c_ard_3-0-0_089088_2018-07-30_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2018-09-01 09:15:16	ga_ls8c_ard_3-0-0_089088_2018-08-31_final
2019-01-24 09:58:22	ga_ls8c_ard_3-0-0_096087_2019-01-24_final
2019-02-08 09:15:04	ga_ls8c_ard_3-0-0_089087_2019-02-07_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-03-01 09:33:56	ga_ls8c_ard_3-0-0_092088_2019-03-01_final
2019-03-03 09:21:10	ga_ls8c_ard_3-0-0_090087_2019-03-02_final
2019-03-03 09:21:34	ga_ls8c_ard_3-0-0_090088_2019-03-02_final
2019-04-13 09:15:11	ga_ls8c_ard_3-1-0_089088_2019-04-12_final
2019-05-13 09:27:13	ga_ls8c_ard_3-0-0_091087_2019-05-12_final
2019-05-13 09:27:37	ga_ls8c_ard_3-0-0_091088_2019-05-12_final
2019-05-15 09:14:53	ga_ls8c_ard_3-0-0_089087_2019-05-14_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-16 09:58:09	ga_ls8c_ard_3-0-0_096087_2019-05-16_final
2019-05-31 09:15:02	ga_ls8c_ard_3-0-0_089087_2019-05-30_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_final
2019-06-05 09:33:36	ga_ls8c_ard_3-0-0_092087_2019-06-05_final
2019-06-05 09:34:00	ga_ls8c_ard_3-1-0_092088_2019-06-05_final
2019-06-07 09:21:16	ga_ls8c_ard_3-0-0_090087_2019-06-06_final
2019-06-07 09:21:40	ga_ls8c_ard_3-0-0_090088_2019-06-06_final
2019-06-16 09:15:08	ga_ls8c_ard_3-1-0_089087_2019-06-15_final
2019-06-16 09:15:32	ga_ls8c_ard_3-1-0_089088_2019-06-15_final
2019-06-17 09:58:24	ga_ls8c_ard_3-1-0_096087_2019-06-17_final
2019-06-23 09:21:21	ga_ls8c_ard_3-1-0_090087_2019-06-22_final
2019-06-23 09:21:45	ga_ls8c_ard_3-1-0_090088_2019-06-22_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-06-26 09:52:40	ga_ls8c_ard_3-1-0_095088_2019-06-26_final
2019-06-28 09:39:55	ga_ls8c_ard_3-1-0_093087_2019-06-28_final
2019-06-28 09:40:19	ga_ls8c_ard_3-1-0_093088_2019-06-28_final
2019-07-09 09:21:25	ga_ls8c_ard_3-1-0_090087_2019-07-08_final
2019-07-09 09:21:49	ga_ls8c_ard_3-1-0_090088_2019-07-08_final
2019-07-19 09:58:31	ga_ls8c_ard_3-1-0_096087_2019-07-19_final
2019-07-21 09:46:11	ga_ls8c_ard_3-1-0_094087_2019-07-21_final
2019-07-21 09:46:35	ga_ls8c_ard_3-1-0_094088_2019-07-21_final
2019-08-04 09:58:38	ga_ls8c_ard_3-1-0_096087_2019-08-04_final
2019-08-10 09:21:36	ga_ls8c_ard_3-1-0_090087_2019-08-09_final
2019-08-10 09:22:00	ga_ls8c_ard_3-1-0_090088_2019-08-09_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-08-26 09:22:04	ga_ls8c_ard_3-1-0_090088_2019-08-25_final
2019-09-05 09:58:47	ga_ls8c_ard_3-1-0_096087_2019-09-05_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-07 09:46:50	ga_ls8c_ard_3-1-0_094088_2019-09-07_final
2019-09-20 09:15:37	ga_ls8c_ard_3-1-0_089087_2019-09-19_final
2019-09-20 09:16:01	ga_ls8c_ard_3-1-0_089088_2019-09-19_final
2019-09-21 09:58:53	ga_ls8c_ard_3-1-0_096087_2019-09-21_final
2019-09-27 09:21:50	ga_ls8c_ard_3-1-0_090087_2019-09-26_final
2019-09-27 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-09-26_final
2019-10-09 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-10-09_final
2019-10-09 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-10-09_final
2019-10-11 09:34:14	ga_ls8c_ard_3-1-0_092087_2019-10-11_final
2019-10-11 09:34:38	ga_ls8c_ard_3-1-0_092088_2019-10-11_final
2019-10-13 09:21:53	ga_ls8c_ard_3-1-0_090087_2019-10-12_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-10-23 09:58:58	ga_ls8c_ard_3-1-0_096087_2019-10-23_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_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