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
2014-09-11 09:34:00	ga_ls8c_ard_3-0-0_092087_2014-09-11_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2014-09-13 09:21:38	ga_ls8c_ard_3-0-0_090087_2014-09-12_final
2014-09-13 09:22:02	ga_ls8c_ard_3-0-0_090088_2014-09-12_final
2014-09-16 09:52:32	ga_ls8c_ard_3-0-0_095087_2014-09-16_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-10-02 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-10-02_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-10-04 09:40:37	ga_ls8c_ard_3-0-0_093088_2014-10-04_final
2014-11-16 09:21:42	ga_ls8c_ard_3-0-0_090087_2014-11-15_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2016-05-07 09:58:10	ga_ls8c_ard_3-0-0_096087_2016-05-07_final
2016-05-09 09:45:47	ga_ls8c_ard_3-0-0_094087_2016-05-09_final
2016-05-09 09:46:11	ga_ls8c_ard_3-0-0_094088_2016-05-09_final
2016-05-16 09:51:57	ga_ls8c_ard_3-0-0_095087_2016-05-16_final
2016-05-16 09:52:21	ga_ls8c_ard_3-0-0_095088_2016-05-16_final
2016-05-18 09:39:36	ga_ls8c_ard_3-0-0_093087_2016-05-18_final
2016-05-18 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-05-18_final
2016-05-23 09:58:11	ga_ls8c_ard_3-0-0_096087_2016-05-23_final
2016-05-25 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-05-25_final
2016-05-25 09:46:14	ga_ls8c_ard_3-0-0_094088_2016-05-25_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-06-01 09:52:27	ga_ls8c_ard_3-0-0_095088_2016-06-01_final
2016-06-03 09:39:42	ga_ls8c_ard_3-0-0_093087_2016-06-03_final
2016-06-03 09:40:06	ga_ls8c_ard_3-0-0_093088_2016-06-03_final
2016-06-07 09:15:00	ga_ls8c_ard_3-0-0_089087_2016-06-06_final
2016-06-07 09:15:23	ga_ls8c_ard_3-0-0_089088_2016-06-06_final
2016-06-17 09:52:05	ga_ls8c_ard_3-0-0_095087_2016-06-17_final
2016-06-17 09:52:29	ga_ls8c_ard_3-0-0_095088_2016-06-17_final
2016-06-19 09:39:45	ga_ls8c_ard_3-0-0_093087_2016-06-19_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-06-30 09:21:19	ga_ls8c_ard_3-0-0_090087_2016-06-29_final
2016-06-30 09:21:43	ga_ls8c_ard_3-0-0_090088_2016-06-29_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-03 09:52:39	ga_ls8c_ard_3-0-0_095088_2016-07-03_final
2016-07-05 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-07-05_final
2016-07-05 09:40:19	ga_ls8c_ard_3-0-0_093088_2016-07-05_final
2016-07-07 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-07-06_final
2016-07-07 09:27:58	ga_ls8c_ard_3-0-0_091088_2016-07-06_final
2016-07-09 09:15:13	ga_ls8c_ard_3-0-0_089087_2016-07-08_final
2016-07-09 09:15:37	ga_ls8c_ard_3-0-0_089088_2016-07-08_final
2016-07-16 09:21:27	ga_ls8c_ard_3-0-0_090087_2016-07-15_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-07-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2016-07-28_final
2016-07-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2016-07-28_final
2017-11-20 09:46:26	ga_ls8c_ard_3-0-0_094087_2017-11-20_final
2017-11-20 09:46:50	ga_ls8c_ard_3-0-0_094088_2017-11-20_final
2017-12-08 09:34:00	ga_ls8c_ard_3-0-0_092087_2017-12-08_final
2017-12-08 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-12-08_final
2017-12-10 09:21:38	ga_ls8c_ard_3-0-0_090087_2017-12-09_final
2017-12-10 09:22:02	ga_ls8c_ard_3-0-0_090088_2017-12-09_final
2017-12-24 09:34:02	ga_ls8c_ard_3-0-0_092087_2017-12-24_final
2017-12-24 09:34:26	ga_ls8c_ard_3-0-0_092088_2017-12-24_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2018-01-09 09:33:57	ga_ls8c_ard_3-0-0_092087_2018-01-09_final
2018-01-09 09:34:21	ga_ls8c_ard_3-0-0_092088_2018-01-09_final
2018-01-11 09:21:34	ga_ls8c_ard_3-0-0_090087_2018-01-10_final
2018-01-11 09:21:58	ga_ls8c_ard_3-0-0_090088_2018-01-10_final
2018-01-18 09:27:42	ga_ls8c_ard_3-0-0_091087_2018-01-17_final
2018-01-18 09:28:06	ga_ls8c_ard_3-0-0_091088_2018-01-17_final
2018-01-21 09:58:34	ga_ls8c_ard_3-0-0_096087_2018-01-21_final
2018-01-23 09:46:11	ga_ls8c_ard_3-0-0_094087_2018-01-23_final
2018-01-23 09:46:35	ga_ls8c_ard_3-0-0_094088_2018-01-23_final
2018-09-15 09:27:17	ga_ls8c_ard_3-0-0_091087_2018-09-14_final
2018-09-15 09:27:41	ga_ls8c_ard_3-0-0_091088_2018-09-14_final
2018-09-27 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-09-27_final
2018-09-27 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-09-27_final
2018-09-29 09:39:45	ga_ls8c_ard_3-0-0_093087_2018-09-29_final
2018-09-29 09:40:09	ga_ls8c_ard_3-0-0_093088_2018-09-29_final
2018-10-01 09:27:24	ga_ls8c_ard_3-0-0_091087_2018-09-30_final
2018-10-01 09:27:48	ga_ls8c_ard_3-0-0_091088_2018-09-30_final
2018-10-29 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-10-29_final
2018-10-29 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-10-29_final
2018-10-31 09:39:56	ga_ls8c_ard_3-0-0_093087_2018-10-31_final
2018-10-31 09:40:20	ga_ls8c_ard_3-0-0_093088_2018-10-31_final
2018-11-02 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-11-01_final
2018-11-02 09:27:59	ga_ls8c_ard_3-0-0_091088_2018-11-01_final
2018-11-18 09:27:36	ga_ls8c_ard_3-1-0_091087_2018-11-17_final
2018-11-18 09:28:00	ga_ls8c_ard_3-0-0_091088_2018-11-17_final
2018-12-04 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-12-03_final
2018-12-04 09:27:58	ga_ls8c_ard_3-0-0_091088_2018-12-03_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2018-12-20 09:27:57	ga_ls8c_ard_3-0-0_091088_2018-12-19_final
2019-01-01 09:52:16	ga_ls8c_ard_3-0-0_095087_2019-01-01_final
2019-01-01 09:52:40	ga_ls8c_ard_3-0-0_095088_2019-01-01_final
2019-01-03 09:39:54	ga_ls8c_ard_3-0-0_093087_2019-01-03_final
2019-01-03 09:40:18	ga_ls8c_ard_3-0-0_093088_2019-01-03_final
2019-01-05 09:27:32	ga_ls8c_ard_3-0-0_091087_2019-01-04_final
2019-01-05 09:27:56	ga_ls8c_ard_3-0-0_091088_2019-01-04_final
2019-01-17 09:52:13	ga_ls8c_ard_3-0-0_095087_2019-01-17_final
2019-01-17 09:52:37	ga_ls8c_ard_3-0-0_095088_2019-01-17_final
2019-01-19 09:39:51	ga_ls8c_ard_3-0-0_093087_2019-01-19_final
2019-01-19 09:40:15	ga_ls8c_ard_3-0-0_093088_2019-01-19_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-06-14 09:27:53	ga_ls8c_ard_3-1-0_091088_2019-06-13_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-08-03 09:15:22	ga_ls8c_ard_3-1-0_089087_2019-08-02_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