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
2013-07-20 09:48:10	ga_ls8c_ard_3-0-0_094087_2013-07-20_final
2013-08-21 09:48:15	ga_ls8c_ard_3-0-0_094087_2013-08-21_final
2013-08-23 09:35:53	ga_ls8c_ard_3-0-0_092087_2013-08-23_final
2013-08-25 09:23:32	ga_ls8c_ard_3-0-0_090087_2013-08-24_final
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2013-12-11 09:47:48	ga_ls8c_ard_3-0-0_094087_2013-12-11_final
2014-01-19 09:53:32	ga_ls8c_ard_3-0-0_095087_2014-01-19_final
2014-01-21 09:41:10	ga_ls8c_ard_3-0-0_093087_2014-01-21_final
2014-01-23 09:28:48	ga_ls8c_ard_3-0-0_091087_2014-01-22_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-01-30 09:34:56	ga_ls8c_ard_3-0-0_092087_2014-01-30_final
2014-02-20 09:53:11	ga_ls8c_ard_3-0-0_095087_2014-02-20_final
2014-05-22 09:33:21	ga_ls8c_ard_3-0-0_092087_2014-05-22_final
2014-05-31 09:27:16	ga_ls8c_ard_3-0-0_091087_2014-05-30_final
2014-06-05 09:45:51	ga_ls8c_ard_3-0-0_094087_2014-06-05_final
2014-06-07 09:33:31	ga_ls8c_ard_3-0-0_092087_2014-06-07_final
2014-07-07 09:46:02	ga_ls8c_ard_3-0-0_094087_2014-07-07_final
2014-07-09 09:33:42	ga_ls8c_ard_3-0-0_092087_2014-07-09_final
2014-09-02 09:40:08	ga_ls8c_ard_3-0-0_093087_2014-09-02_final
2014-09-04 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-03_final
2014-09-04 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-03_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-20 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-19_final
2014-09-20 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-19_final
2014-09-25 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-09-25_final
2014-09-25 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-09-25_final
2014-11-12 09:46:26	ga_ls8c_ard_3-0-0_094087_2014-11-12_final
2014-12-30 09:46:15	ga_ls8c_ard_3-0-0_094087_2014-12-30_final
2015-07-05 09:26:43	ga_ls8c_ard_3-0-0_091086_2015-07-04_final
2015-07-05 09:27:07	ga_ls8c_ard_3-0-0_091087_2015-07-04_final
2015-07-06 10:09:59	ga_ls8c_ard_3-0-0_098086_2015-07-06_final
2015-07-07 09:14:23	ga_ls8c_ard_3-0-0_089086_2015-07-06_final
2015-07-07 09:14:47	ga_ls8c_ard_3-0-0_089087_2015-07-06_final
2015-07-08 09:58:03	ga_ls8c_ard_3-0-0_096087_2015-07-08_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2015-08-18_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-08-22 09:27:26	ga_ls8c_ard_3-0-0_091087_2015-08-21_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-25 09:58:21	ga_ls8c_ard_3-0-0_096087_2015-08-25_final
2015-08-31 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-08-30_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-09-03 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-09-03_final
2015-09-05 09:39:52	ga_ls8c_ard_3-0-0_093087_2015-09-05_final
2015-09-12 09:46:07	ga_ls8c_ard_3-0-0_094087_2015-09-12_final
2015-09-14 09:33:46	ga_ls8c_ard_3-0-0_092087_2015-09-14_final
2015-09-16 09:21:02	ga_ls8c_ard_3-0-0_090086_2015-09-15_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-21 09:40:00	ga_ls8c_ard_3-0-0_093087_2015-09-21_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-09-28_final
2015-10-18 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-10-17_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-11-08 09:39:45	ga_ls8c_ard_3-0-0_093086_2015-11-08_final
2015-11-08 09:40:09	ga_ls8c_ard_3-0-0_093087_2015-11-08_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2018-02-19 09:27:27	ga_ls8c_ard_3-0-0_091087_2018-02-18_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-02-22 09:58:20	ga_ls8c_ard_3-0-0_096087_2018-02-22_final
2018-03-09 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-03-08_final
2018-03-10 09:58:11	ga_ls8c_ard_3-0-0_096087_2018-03-10_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-04-26 09:14:31	ga_ls8c_ard_3-0-0_089087_2018-04-25_final
2018-04-27 09:57:46	ga_ls8c_ard_3-0-0_096087_2018-04-27_final
2018-05-06 09:51:30	ga_ls8c_ard_3-0-0_095087_2018-05-06_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-05-13 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-05-13_final
2018-05-28 09:14:09	ga_ls8c_ard_3-0-0_089087_2018-05-27_final
2018-05-29 09:57:24	ga_ls8c_ard_3-0-0_096087_2018-05-29_final
2018-06-16 09:45:07	ga_ls8c_ard_3-0-0_094087_2018-06-16_final
2018-06-18 09:32:46	ga_ls8c_ard_3-0-0_092087_2018-06-18_final
2018-06-29 09:13:57	ga_ls8c_ard_3-0-0_089086_2018-06-28_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2019-03-12 09:14:55	ga_ls8c_ard_3-1-0_089087_2019-03-11_final
2019-03-13 09:58:11	ga_ls8c_ard_3-1-0_096087_2019-03-13_final
2019-04-09 09:39:32	ga_ls8c_ard_3-1-0_093087_2019-04-09_final
2019-04-11 09:27:09	ga_ls8c_ard_3-1-0_091087_2019-04-10_final
2019-05-27 09:39:19	ga_ls8c_ard_3-0-0_093086_2019-05-27_final
2019-05-27 09:39:43	ga_ls8c_ard_3-0-0_093087_2019-05-27_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-06-16 09:15:08	ga_ls8c_ard_3-1-0_089087_2019-06-15_final
2019-06-17 09:58:00	ga_ls8c_ard_3-1-0_096086_2019-06-17_final
2019-06-17 09:58:24	ga_ls8c_ard_3-1-0_096087_2019-06-17_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-15 09:39:46	ga_ls8c_ard_3-1-0_093086_2019-08-15_final
2019-08-15 09:40:10	ga_ls8c_ard_3-1-0_093087_2019-08-15_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_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