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
2014-08-26 09:33:56	ga_ls8c_ard_3-0-0_092087_2014-08-26_final
2014-08-28 09:21:34	ga_ls8c_ard_3-0-0_090087_2014-08-27_final
2014-09-11 09:34:00	ga_ls8c_ard_3-0-0_092087_2014-09-11_final
2014-09-13 09:21:38	ga_ls8c_ard_3-0-0_090087_2014-09-12_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-10-06 09:27:52	ga_ls8c_ard_3-0-0_091087_2014-10-05_final
2014-11-21 09:40:11	ga_ls8c_ard_3-0-0_093087_2014-11-21_final
2015-12-01 09:46:21	ga_ls8c_ard_3-0-0_094087_2015-12-01_final
2015-12-03 09:34:00	ga_ls8c_ard_3-0-0_092087_2015-12-03_final
2015-12-05 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-04_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-08 09:52:31	ga_ls8c_ard_3-0-0_095087_2015-12-08_final
2015-12-15 09:58:42	ga_ls8c_ard_3-0-0_096087_2015-12-15_final
2015-12-17 09:46:21	ga_ls8c_ard_3-0-0_094087_2015-12-17_final
2015-12-19 09:33:59	ga_ls8c_ard_3-0-0_092087_2015-12-19_final
2015-12-21 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-20_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
2016-01-13 09:27:45	ga_ls8c_ard_3-0-0_091087_2016-01-12_final
2016-01-15 09:15:23	ga_ls8c_ard_3-0-0_089087_2016-01-14_final
2016-01-16 09:58:39	ga_ls8c_ard_3-0-0_096087_2016-01-16_final
2016-01-20 09:33:56	ga_ls8c_ard_3-0-0_092087_2016-01-20_final
2016-01-22 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-21_final
2016-01-25 09:52:04	ga_ls8c_ard_3-0-0_095086_2016-01-25_final
2016-01-25 09:52:28	ga_ls8c_ard_3-0-0_095087_2016-01-25_final
2016-02-01 09:58:37	ga_ls8c_ard_3-0-0_096087_2016-02-01_final
2016-02-07 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-02-06_final
2016-02-19 09:46:06	ga_ls8c_ard_3-0-0_094087_2016-02-19_final
2016-02-21 09:33:44	ga_ls8c_ard_3-0-0_092087_2016-02-21_final
2016-02-23 09:21:23	ga_ls8c_ard_3-0-0_090087_2016-02-22_final
2016-02-26 09:52:17	ga_ls8c_ard_3-0-0_095087_2016-02-26_final
2016-03-03 09:15:12	ga_ls8c_ard_3-0-0_089087_2016-03-02_final
2016-03-04 09:58:27	ga_ls8c_ard_3-0-0_096087_2016-03-04_final
2016-03-10 09:21:21	ga_ls8c_ard_3-0-0_090087_2016-03-09_final
2016-03-13 09:52:14	ga_ls8c_ard_3-0-0_095087_2016-03-13_final
2016-03-19 09:15:06	ga_ls8c_ard_3-0-0_089087_2016-03-18_final
2016-03-20 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-03-20_final
2016-03-22 09:45:59	ga_ls8c_ard_3-0-0_094087_2016-03-22_final
2016-03-24 09:33:36	ga_ls8c_ard_3-0-0_092087_2016-03-24_final
2016-03-26 09:21:13	ga_ls8c_ard_3-0-0_090087_2016-03-25_final
2016-04-02 09:27:19	ga_ls8c_ard_3-0-0_091087_2016-04-01_final
2016-04-04 09:14:57	ga_ls8c_ard_3-0-0_089087_2016-04-03_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
2016-04-09 09:33:28	ga_ls8c_ard_3-0-0_092087_2016-04-09_final
2016-04-20 09:14:51	ga_ls8c_ard_3-0-0_089087_2016-04-19_final
2016-04-21 09:58:06	ga_ls8c_ard_3-0-0_096087_2016-04-21_final
2016-05-02 09:39:39	ga_ls8c_ard_3-0-0_093087_2016-05-02_final
2016-05-04 09:27:18	ga_ls8c_ard_3-0-0_091087_2016-05-03_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
2017-10-03 09:46:27	ga_ls8c_ard_3-0-0_094087_2017-10-03_final
2017-10-05 09:34:06	ga_ls8c_ard_3-0-0_092087_2017-10-05_final
2017-10-28 09:40:20	ga_ls8c_ard_3-0-0_093087_2017-10-28_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-11-01 09:15:36	ga_ls8c_ard_3-0-0_089087_2017-10-31_final
2017-11-02 09:58:52	ga_ls8c_ard_3-0-0_096087_2017-11-02_final
2017-11-17 09:15:33	ga_ls8c_ard_3-0-0_089087_2017-11-16_final
2017-11-18 09:58:48	ga_ls8c_ard_3-0-0_096087_2017-11-18_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-31 09:40:11	ga_ls8c_ard_3-0-0_093087_2017-12-31_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-04 09:15:27	ga_ls8c_ard_3-0-0_089087_2018-01-03_final
2018-01-05 09:58:42	ga_ls8c_ard_3-0-0_096087_2018-01-05_final
2018-01-16 09:40:04	ga_ls8c_ard_3-0-0_093087_2018-01-16_final
2018-01-18 09:27:42	ga_ls8c_ard_3-0-0_091087_2018-01-17_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2018-07-27 09:39:16	ga_ls8c_ard_3-0-0_093087_2018-07-27_final
2018-07-29 09:26:56	ga_ls8c_ard_3-0-0_091087_2018-07-28_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-01 09:57:52	ga_ls8c_ard_3-0-0_096087_2018-08-01_final
2018-08-15 10:09:58	ga_ls8c_ard_3-0-0_098086_2018-08-15_final
2018-08-16 09:14:45	ga_ls8c_ard_3-0-0_089087_2018-08-15_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-08-17 09:58:01	ga_ls8c_ard_3-0-0_096087_2018-08-17_final
2018-09-08 09:21:05	ga_ls8c_ard_3-0-0_090087_2018-09-07_final
2018-09-13 09:39:39	ga_ls8c_ard_3-0-0_093087_2018-09-13_final
2018-09-15 09:27:17	ga_ls8c_ard_3-0-0_091087_2018-09-14_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2018-09-18 09:57:48	ga_ls8c_ard_3-0-0_096086_2018-09-18_final
2018-09-18 09:58:12	ga_ls8c_ard_3-0-0_096087_2018-09-18_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-10-11 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-10-11_final
2018-10-13 09:52:13	ga_ls8c_ard_3-0-0_095087_2018-10-13_final
2018-11-14 09:52:20	ga_ls8c_ard_3-0-0_095087_2018-11-14_final
2018-12-11 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-11_final
2018-12-16 09:52:16	ga_ls8c_ard_3-0-0_095087_2018-12-16_final
2018-12-18 09:39:54	ga_ls8c_ard_3-0-0_093087_2018-12-18_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2018-12-29 09:21:22	ga_ls8c_ard_3-0-0_090087_2018-12-28_final
2019-01-07 09:15:10	ga_ls8c_ard_3-0-0_089087_2019-01-06_final
2019-01-12 09:33:42	ga_ls8c_ard_3-0-0_092087_2019-01-12_final
2019-01-17 09:52:13	ga_ls8c_ard_3-0-0_095087_2019-01-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years