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:

Add field

First 100 results (query limit)

Time (local)	Label
2013-07-04 09:48:11	ga_ls8c_ard_3-0-0_094087_2013-07-04_final
2013-07-11 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-07-11_final
2013-07-24 09:23:27	ga_ls8c_ard_3-0-0_090087_2013-07-23_final
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-08-12 09:54:24	ga_ls8c_ard_3-0-0_095087_2013-08-12_final
2013-08-16 09:29:40	ga_ls8c_ard_3-0-0_091087_2013-08-15_final
2013-08-16 09:30:04	ga_ls8c_ard_3-0-0_091088_2013-08-16_final
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2013-08-30 09:42:05	ga_ls8c_ard_3-0-0_093087_2013-08-30_final
2013-08-30 09:42:29	ga_ls8c_ard_3-0-0_093088_2013-08-30_final
2014-07-14 09:52:15	ga_ls8c_ard_3-0-0_095087_2014-07-14_final
2014-07-16 09:39:54	ga_ls8c_ard_3-0-0_093087_2014-07-16_final
2014-07-16 09:40:18	ga_ls8c_ard_3-0-0_093088_2014-07-16_final
2014-07-18 09:27:33	ga_ls8c_ard_3-0-0_091087_2014-07-17_final
2014-07-18 09:27:57	ga_ls8c_ard_3-0-0_091088_2014-07-17_final
2014-07-30 09:52:20	ga_ls8c_ard_3-0-0_095087_2014-07-30_final
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-09-25 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-09-25_final
2014-09-27 09:33:57	ga_ls8c_ard_3-0-0_092087_2014-09-27_final
2014-09-27 09:34:21	ga_ls8c_ard_3-0-0_092088_2014-09-27_final
2014-09-29 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-09-28_final
2014-09-29 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-09-28_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-10-15 09:21:43	ga_ls8c_ard_3-0-0_090087_2014-10-14_final
2014-10-15 09:22:07	ga_ls8c_ard_3-0-0_090088_2014-10-14_final
2014-10-18 09:52:38	ga_ls8c_ard_3-0-0_095087_2014-10-18_final
2014-10-27 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-10-27_final
2014-10-29 09:34:01	ga_ls8c_ard_3-0-0_092087_2014-10-29_final
2014-10-29 09:34:25	ga_ls8c_ard_3-0-0_092088_2014-10-29_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2016-05-11 09:33:24	ga_ls8c_ard_3-0-0_092087_2016-05-11_final
2016-05-11 09:33:48	ga_ls8c_ard_3-0-0_092088_2016-05-11_final
2016-05-13 09:21:01	ga_ls8c_ard_3-0-0_090087_2016-05-12_final
2016-05-13 09:21:25	ga_ls8c_ard_3-0-0_090088_2016-05-12_final
2016-05-22 09:14:55	ga_ls8c_ard_3-0-0_089087_2016-05-21_final
2016-05-22 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-21_final
2016-05-27 09:33:29	ga_ls8c_ard_3-0-0_092087_2016-05-27_final
2016-05-27 09:33:53	ga_ls8c_ard_3-0-0_092088_2016-05-27_final
2016-05-29 09:21:08	ga_ls8c_ard_3-0-0_090087_2016-05-28_final
2016-05-29 09:21:32	ga_ls8c_ard_3-0-0_090088_2016-05-28_final
2016-06-12 09:33:33	ga_ls8c_ard_3-0-0_092087_2016-06-12_final
2016-06-12 09:33:56	ga_ls8c_ard_3-0-0_092088_2016-06-12_final
2016-06-14 09:21:11	ga_ls8c_ard_3-0-0_090087_2016-06-13_final
2016-06-14 09:21:35	ga_ls8c_ard_3-0-0_090088_2016-06-13_final
2016-06-21 09:27:25	ga_ls8c_ard_3-0-0_091087_2016-06-20_final
2016-06-21 09:27:49	ga_ls8c_ard_3-0-0_091088_2016-06-20_final
2016-07-10 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-07-10_final
2016-07-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2016-07-24_final
2016-07-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2016-07-24_final
2016-07-30 09:33:52	ga_ls8c_ard_3-0-0_092087_2016-07-30_final
2016-07-30 09:34:16	ga_ls8c_ard_3-0-0_092088_2016-07-30_final
2016-08-01 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-07-31_final
2016-08-01 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-07-31_final
2017-10-21 09:34:09	ga_ls8c_ard_3-0-0_092087_2017-10-21_final
2017-10-21 09:34:33	ga_ls8c_ard_3-0-0_092088_2017-10-21_final
2017-10-23 09:21:48	ga_ls8c_ard_3-0-0_090087_2017-10-22_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-11-17 09:15:33	ga_ls8c_ard_3-0-0_089087_2017-11-16_final
2017-11-17 09:15:57	ga_ls8c_ard_3-0-0_089088_2017-11-16_final
2017-11-22 09:34:03	ga_ls8c_ard_3-0-0_092087_2017-11-22_final
2017-11-22 09:34:27	ga_ls8c_ard_3-0-0_092088_2017-11-22_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-12-03 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-12-02_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_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
2017-12-19 09:15:30	ga_ls8c_ard_3-0-0_089087_2017-12-18_final
2017-12-19 09:15:54	ga_ls8c_ard_3-0-0_089088_2017-12-18_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-02 09:28:13	ga_ls8c_ard_3-0-0_091088_2018-01-01_final
2018-01-04 09:15:27	ga_ls8c_ard_3-0-0_089087_2018-01-03_final
2018-01-04 09:15:51	ga_ls8c_ard_3-0-0_089088_2018-01-03_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
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
2019-08-03 09:15:46	ga_ls8c_ard_3-1-0_089088_2019-08-02_final
2019-09-18 09:27:58	ga_ls8c_ard_3-1-0_091087_2019-09-17_final
2019-09-18 09:28:22	ga_ls8c_ard_3-1-0_091088_2019-09-17_final
2019-11-05 09:28:03	ga_ls8c_ard_3-1-0_091087_2019-11-04_final
2019-11-05 09:28:27	ga_ls8c_ard_3-1-0_091088_2019-11-04_final
2019-11-21 09:27:59	ga_ls8c_ard_3-1-0_091087_2019-11-20_final
2019-11-21 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-11-20_final
2019-12-07 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-12-06_final
2019-12-09 09:15:37	ga_ls8c_ard_3-1-0_089087_2019-12-08_final
2019-12-09 09:16:01	ga_ls8c_ard_3-1-0_089088_2019-12-08_final
2019-12-10 09:58:53	ga_ls8c_ard_3-1-0_096087_2019-12-10_final
2020-01-01 09:22:06	ga_ls8c_ard_3-1-0_090088_2019-12-31_final
2020-01-08 09:28:16	ga_ls8c_ard_3-1-0_091088_2020-01-07_final
2020-02-14 09:46:39	ga_ls8c_ard_3-1-0_094088_2020-02-14_final
2020-02-16 09:34:17	ga_ls8c_ard_3-1-0_092088_2020-02-16_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