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
2014-03-01 09:46:51	ga_ls8c_ard_3-0-0_094087_2014-03-01_final
2014-03-03 09:34:26	ga_ls8c_ard_3-0-0_092087_2014-03-03_final
2014-03-24 09:52:44	ga_ls8c_ard_3-0-0_095087_2014-03-24_final
2014-03-26 09:40:19	ga_ls8c_ard_3-0-0_093087_2014-03-26_final
2014-04-13 09:27:42	ga_ls8c_ard_3-0-0_091087_2014-04-12_final
2014-05-11 09:51:59	ga_ls8c_ard_3-0-0_095087_2014-05-11_final
2014-05-13 09:39:36	ga_ls8c_ard_3-0-0_093087_2014-05-13_final
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2014-12-25 09:27:46	ga_ls8c_ard_3-0-0_091087_2014-12-24_final
2015-01-01 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-01_final
2015-01-03 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-01-02_final
2015-01-10 09:27:43	ga_ls8c_ard_3-0-0_091087_2015-01-09_final
2015-01-26 09:27:37	ga_ls8c_ard_3-0-0_091087_2015-01-25_final
2015-02-04 09:21:25	ga_ls8c_ard_3-0-0_090087_2015-02-03_final
2015-02-18 09:33:40	ga_ls8c_ard_3-0-0_092087_2015-02-18_final
2015-02-20 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-02-19_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-03-15 09:27:16	ga_ls8c_ard_3-0-0_091087_2015-03-14_final
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-20 09:45:47	ga_ls8c_ard_3-0-0_094087_2015-03-20_final
2015-03-22 09:33:24	ga_ls8c_ard_3-0-0_092087_2015-03-22_final
2015-04-28 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-04-28_final
2015-04-30 09:39:17	ga_ls8c_ard_3-0-0_093087_2015-04-30_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-05-16 09:39:02	ga_ls8c_ard_3-0-0_093087_2015-05-16_final
2015-06-24 09:45:32	ga_ls8c_ard_3-0-0_094087_2015-06-24_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-07-10 09:45:43	ga_ls8c_ard_3-0-0_094087_2015-07-10_final
2015-07-10 09:46:07	ga_ls8c_ard_3-0-0_094088_2015-07-10_final
2015-07-12 09:33:22	ga_ls8c_ard_3-0-0_092087_2015-07-12_final
2015-08-11 09:45:53	ga_ls8c_ard_3-0-0_094087_2015-08-11_final
2015-08-13 09:33:32	ga_ls8c_ard_3-0-0_092087_2015-08-13_final
2015-12-31 09:58:41	ga_ls8c_ard_3-0-0_096087_2015-12-31_final
2016-01-02 09:46:19	ga_ls8c_ard_3-0-0_094087_2016-01-02_final
2016-01-09 09:52:27	ga_ls8c_ard_3-0-0_095087_2016-01-09_final
2016-01-11 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-11_final
2016-01-25 09:52:28	ga_ls8c_ard_3-0-0_095087_2016-01-25_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-02-10 09:52:23	ga_ls8c_ard_3-0-0_095087_2016-02-10_final
2016-02-12 09:40:00	ga_ls8c_ard_3-0-0_093087_2016-02-12_final
2016-02-17 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-02-17_final
2016-02-19 09:46:06	ga_ls8c_ard_3-0-0_094087_2016-02-19_final
2016-03-13 09:52:14	ga_ls8c_ard_3-0-0_095087_2016-03-13_final
2016-03-15 09:39:52	ga_ls8c_ard_3-0-0_093087_2016-03-15_final
2016-03-29 09:52:04	ga_ls8c_ard_3-0-0_095087_2016-03-29_final
2016-03-31 09:39:41	ga_ls8c_ard_3-0-0_093087_2016-03-31_final
2016-04-05 09:58:12	ga_ls8c_ard_3-0-0_096087_2016-04-05_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-14 09:51:59	ga_ls8c_ard_3-0-0_095087_2016-04-14_final
2016-04-16 09:39:37	ga_ls8c_ard_3-0-0_093087_2016-04-16_final
2016-04-21 09:58:06	ga_ls8c_ard_3-0-0_096087_2016-04-21_final
2016-04-23 09:45:44	ga_ls8c_ard_3-0-0_094087_2016-04-23_final
2017-02-03 09:58:36	ga_ls8c_ard_3-0-0_096087_2017-02-03_final
2017-02-05 09:46:13	ga_ls8c_ard_3-0-0_094087_2017-02-05_final
2017-02-21 09:46:07	ga_ls8c_ard_3-0-0_094087_2017-02-21_final
2018-02-05 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-02-04_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-29 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-04-29_final
2018-05-01 09:33:01	ga_ls8c_ard_3-0-0_092087_2018-05-01_final
2018-05-13 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-05-13_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-06-18 09:32:46	ga_ls8c_ard_3-0-0_092087_2018-06-18_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-16 09:14:45	ga_ls8c_ard_3-0-0_089087_2018-08-15_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2020-06-28 09:52:09	ga_ls8c_ard_3-1-0_095087_2020-06-28_final
2020-06-28 09:52:33	ga_ls8c_ard_3-1-0_095088_2020-06-28_final
2020-06-30 09:39:48	ga_ls8c_ard_3-1-0_093087_2020-06-30_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-07-11 09:21:20	ga_ls8c_ard_3-1-0_090087_2020-07-10_final
2020-07-14 09:52:15	ga_ls8c_ard_3-1-0_095087_2020-07-14_final
2020-07-16 09:39:54	ga_ls8c_ard_3-1-0_093087_2020-07-16_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-07-18 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-07-17_final
2020-07-20 09:15:12	ga_ls8c_ard_3-1-0_089087_2020-07-19_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-07-30 09:52:20	ga_ls8c_ard_3-1-0_095087_2020-07-30_final
2020-08-01 09:39:59	ga_ls8c_ard_3-1-0_093087_2020-08-01_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-08-08 09:46:11	ga_ls8c_ard_3-1-0_094087_2020-08-08_final
2020-08-10 09:33:49	ga_ls8c_ard_3-1-0_092087_2020-08-10_final
2020-09-02 09:40:12	ga_ls8c_ard_3-1-0_093087_2020-09-02_final
2020-09-04 09:27:51	ga_ls8c_ard_3-1-0_091087_2020-09-03_final
2020-09-04 09:28:15	ga_ls8c_ard_3-1-0_091088_2020-09-03_final
2020-09-09 09:46:25	ga_ls8c_ard_3-1-0_094087_2020-09-09_final
2020-09-09 09:46:49	ga_ls8c_ard_3-1-0_094088_2020-09-09_final
2020-09-11 09:34:04	ga_ls8c_ard_3-1-0_092087_2020-09-11_final
2020-09-13 09:21:43	ga_ls8c_ard_3-1-0_090087_2020-09-12_final
2020-09-16 09:52:38	ga_ls8c_ard_3-1-0_095087_2020-09-16_final
2020-09-18 09:40:17	ga_ls8c_ard_3-1-0_093087_2020-09-18_final
2020-09-20 09:27:56	ga_ls8c_ard_3-1-0_091087_2020-09-19_final
2020-09-25 09:46:30	ga_ls8c_ard_3-1-0_094087_2020-09-25_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