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
2013-11-27 09:31:52	ga_ls8c_ard_3-0-0_092078_2013-11-27_final
2013-11-27 11:10:45	ga_ls8c_ard_3-0-0_108078_2013-11-27_final
2013-11-28 10:15:08	ga_ls8c_ard_3-0-0_099078_2013-11-28_final
2013-11-28 11:54:01	ga_ls8c_ard_3-0-0_115078_2013-11-28_final
2013-11-29 09:19:31	ga_ls8c_ard_3-0-0_090078_2013-11-28_final
2013-11-29 10:58:24	ga_ls8c_ard_3-0-0_106078_2013-11-29_final
2013-11-30 10:02:47	ga_ls8c_ard_3-0-0_097078_2013-11-30_final
2013-11-30 11:41:40	ga_ls8c_ard_3-0-0_113078_2013-11-30_final
2013-12-01 10:46:02	ga_ls8c_ard_3-0-0_104078_2013-12-01_final
2014-03-10 11:15:52	ga_ls8c_ard_3-0-0_109078_2014-03-10_final
2014-03-11 10:20:15	ga_ls8c_ard_3-0-0_100078_2014-03-11_final
2014-03-12 09:24:37	ga_ls8c_ard_3-0-0_091078_2014-03-11_final
2014-03-12 11:03:30	ga_ls8c_ard_3-0-0_107078_2014-03-12_final
2014-03-13 10:07:52	ga_ls8c_ard_3-0-0_098078_2014-03-13_final
2014-03-13 11:46:45	ga_ls8c_ard_3-0-0_114078_2014-03-13_final
2014-03-14 09:12:14	ga_ls8c_ard_3-0-0_089078_2014-03-13_final
2014-06-10 10:00:26	ga_ls8c_ard_3-0-0_097077_2014-06-10_final
2014-06-10 10:00:50	ga_ls8c_ard_3-0-0_097078_2014-06-10_final
2014-06-10 11:39:44	ga_ls8c_ard_3-0-0_113078_2014-06-10_final
2014-06-11 10:44:07	ga_ls8c_ard_3-0-0_104078_2014-06-11_final
2014-06-12 09:48:30	ga_ls8c_ard_3-0-0_095078_2014-06-12_final
2014-06-12 11:26:59	ga_ls8c_ard_3-0-0_111077_2014-06-12_final
2014-06-12 11:27:23	ga_ls8c_ard_3-0-0_111078_2014-06-12_final
2014-06-13 10:31:22	ga_ls8c_ard_3-0-0_102077_2014-06-13_final
2014-06-13 10:31:45	ga_ls8c_ard_3-0-0_102078_2014-06-13_final
2016-10-21 10:01:06	ga_ls8c_ard_3-0-0_097077_2016-10-21_final
2016-10-21 10:01:30	ga_ls8c_ard_3-0-0_097078_2016-10-21_final
2016-10-21 11:39:59	ga_ls8c_ard_3-0-0_113077_2016-10-21_final
2016-10-21 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-10-21_final
2016-10-22 10:44:46	ga_ls8c_ard_3-0-0_104078_2016-10-22_final
2016-10-23 09:48:45	ga_ls8c_ard_3-0-0_095077_2016-10-23_final
2016-10-23 09:49:09	ga_ls8c_ard_3-0-0_095078_2016-10-23_final
2016-10-23 11:27:38	ga_ls8c_ard_3-0-0_111077_2016-10-23_final
2016-10-23 11:28:02	ga_ls8c_ard_3-1-0_111078_2016-10-23_final
2016-10-24 10:32:00	ga_ls8c_ard_3-0-0_102077_2016-10-24_final
2016-10-24 10:32:24	ga_ls8c_ard_3-0-0_102078_2016-10-24_final
2016-10-28 10:07:41	ga_ls8c_ard_3-0-0_098078_2016-10-28_final
2016-10-28 11:46:34	ga_ls8c_ard_3-0-0_114078_2016-10-28_final
2016-10-29 09:11:40	ga_ls8c_ard_3-0-0_089077_2016-10-28_final
2016-10-29 09:12:04	ga_ls8c_ard_3-0-0_089078_2016-10-28_final
2016-10-29 10:50:57	ga_ls8c_ard_3-0-0_105078_2016-10-29_final
2016-10-30 09:54:56	ga_ls8c_ard_3-0-0_096077_2016-10-30_final
2016-10-30 09:55:20	ga_ls8c_ard_3-0-0_096078_2016-10-30_final
2016-10-30 11:34:13	ga_ls8c_ard_3-0-0_112078_2016-10-30_final
2016-10-31 10:38:11	ga_ls8c_ard_3-0-0_103077_2016-10-31_final
2016-10-31 10:38:35	ga_ls8c_ard_3-0-0_103078_2016-10-31_final
2016-12-24 10:01:00	ga_ls8c_ard_3-0-0_097077_2016-12-24_final
2016-12-24 10:01:24	ga_ls8c_ard_3-0-0_097078_2016-12-24_final
2016-12-24 11:40:17	ga_ls8c_ard_3-0-0_113078_2016-12-24_final
2016-12-25 10:44:39	ga_ls8c_ard_3-0-0_104078_2016-12-25_final
2016-12-26 09:49:02	ga_ls8c_ard_3-0-0_095078_2016-12-26_final
2016-12-26 11:27:55	ga_ls8c_ard_3-0-0_111078_2016-12-26_final
2016-12-27 10:32:18	ga_ls8c_ard_3-0-0_102078_2016-12-27_final
2017-03-06 10:50:25	ga_ls8c_ard_3-0-0_105078_2017-03-06_final
2017-03-07 09:54:47	ga_ls8c_ard_3-0-0_096078_2017-03-07_final
2017-03-07 11:33:40	ga_ls8c_ard_3-0-0_112078_2017-03-07_final
2020-06-01 10:06:26	ga_ls8c_ard_3-1-0_098077_2020-06-01_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-06-01 11:45:19	ga_ls8c_ard_3-1-0_114077_2020-06-01_final
2020-06-01 11:45:43	ga_ls8c_ard_3-1-0_114078_2020-06-01_final
2020-06-02 09:10:50	ga_ls8c_ard_3-1-0_089077_2020-06-01_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-06-02 10:50:07	ga_ls8c_ard_3-1-0_105078_2020-06-02_final
2020-06-03 09:54:06	ga_ls8c_ard_3-1-0_096077_2020-06-03_final
2020-06-03 09:54:30	ga_ls8c_ard_3-1-0_096078_2020-06-03_final
2020-06-03 11:32:59	ga_ls8c_ard_3-1-0_112077_2020-06-03_final
2020-06-03 11:33:23	ga_ls8c_ard_3-1-0_112078_2020-06-03_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-06-17 11:45:53	ga_ls8c_ard_3-1-0_114078_2020-06-17_final
2020-06-18 09:10:59	ga_ls8c_ard_3-1-0_089077_2020-06-17_final
2020-06-18 09:11:23	ga_ls8c_ard_3-1-0_089078_2020-06-17_final
2020-06-18 10:49:52	ga_ls8c_ard_3-1-0_105077_2020-06-18_final
2020-06-18 10:50:16	ga_ls8c_ard_3-1-0_105078_2020-06-18_final
2020-06-19 09:54:16	ga_ls8c_ard_3-1-0_096077_2020-06-19_final
2020-06-19 09:54:39	ga_ls8c_ard_3-1-0_096078_2020-06-19_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-06-19 11:33:33	ga_ls8c_ard_3-1-0_112078_2020-06-19_final
2020-07-23 09:42:32	ga_ls8c_ard_3-1-0_094078_2020-07-23_final
2020-07-23 11:21:01	ga_ls8c_ard_3-1-0_110077_2020-07-23_final
2020-07-23 11:21:25	ga_ls8c_ard_3-1-0_110078_2020-07-23_final
2020-07-24 10:25:24	ga_ls8c_ard_3-1-0_101077_2020-07-24_final
2020-07-24 10:25:48	ga_ls8c_ard_3-1-0_101078_2020-07-24_final
2020-07-25 09:29:47	ga_ls8c_ard_3-1-0_092077_2020-07-24_final
2020-07-25 09:30:11	ga_ls8c_ard_3-1-0_092078_2020-07-25_final
2020-07-25 11:09:04	ga_ls8c_ard_3-1-0_108078_2020-07-25_final
2020-08-01 09:35:59	ga_ls8c_ard_3-1-0_093077_2020-08-01_final
2020-08-01 09:36:23	ga_ls8c_ard_3-1-0_093078_2020-08-01_final
2020-08-01 11:15:16	ga_ls8c_ard_3-1-0_109078_2020-08-01_final
2020-08-02 10:19:15	ga_ls8c_ard_3-1-0_100077_2020-08-02_final
2020-08-02 10:19:39	ga_ls8c_ard_3-1-0_100078_2020-08-02_final
2020-08-02 11:58:08	ga_ls8c_ard_3-1-0_116077_2020-08-02_final
2020-08-02 11:58:32	ga_ls8c_ard_3-1-0_116078_2020-08-02_final
2020-08-03 09:24:02	ga_ls8c_ard_3-1-0_091078_2020-08-02_final
2020-08-03 11:02:31	ga_ls8c_ard_3-1-0_107077_2020-08-03_final
2020-08-03 11:02:55	ga_ls8c_ard_3-1-0_107078_2020-08-03_final
2020-08-12 10:56:46	ga_ls8c_ard_3-1-0_106078_2020-08-12_final
2020-08-13 10:00:45	ga_ls8c_ard_3-1-0_097077_2020-08-13_final
2020-08-13 10:01:09	ga_ls8c_ard_3-1-0_097078_2020-08-13_final
2020-08-13 11:39:38	ga_ls8c_ard_3-1-0_113077_2020-08-13_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