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
2014-01-08 10:08:38	ga_ls8c_ard_3-0-0_098078_2014-01-08_final
2014-01-08 11:47:31	ga_ls8c_ard_3-0-0_114078_2014-01-08_final
2014-01-09 09:13:00	ga_ls8c_ard_3-0-0_089078_2014-01-08_final
2014-01-09 10:51:53	ga_ls8c_ard_3-0-0_105078_2014-01-09_final
2014-01-10 09:56:14	ga_ls8c_ard_3-0-0_096078_2014-01-10_final
2014-01-10 11:35:07	ga_ls8c_ard_3-0-0_112078_2014-01-10_final
2014-01-11 10:39:29	ga_ls8c_ard_3-0-0_103078_2014-01-11_final
2014-01-12 09:43:50	ga_ls8c_ard_3-0-0_094078_2014-01-12_final
2014-01-12 11:22:43	ga_ls8c_ard_3-0-0_110078_2014-01-12_final
2014-01-13 10:27:05	ga_ls8c_ard_3-0-0_101078_2014-01-13_final
2014-01-14 09:31:26	ga_ls8c_ard_3-0-0_092078_2014-01-14_final
2014-01-14 11:10:19	ga_ls8c_ard_3-0-0_108078_2014-01-14_final
2014-02-07 10:20:40	ga_ls8c_ard_3-0-0_100078_2014-02-07_final
2014-02-08 09:25:02	ga_ls8c_ard_3-0-0_091078_2014-02-07_final
2014-02-08 11:03:55	ga_ls8c_ard_3-0-0_107078_2014-02-08_final
2014-02-09 10:08:17	ga_ls8c_ard_3-0-0_098078_2014-02-09_final
2014-02-09 11:47:10	ga_ls8c_ard_3-0-0_114078_2014-02-09_final
2014-02-10 10:51:31	ga_ls8c_ard_3-0-0_105078_2014-02-10_final
2014-02-11 09:55:52	ga_ls8c_ard_3-0-0_096078_2014-02-11_final
2014-02-12 10:39:07	ga_ls8c_ard_3-0-0_103078_2014-02-12_final
2014-02-13 09:43:28	ga_ls8c_ard_3-0-0_094078_2014-02-13_final
2014-02-13 11:22:21	ga_ls8c_ard_3-0-0_110078_2014-02-13_final
2014-05-12 10:31:39	ga_ls8c_ard_3-0-0_102078_2014-05-12_final
2014-05-13 09:36:01	ga_ls8c_ard_3-0-0_093078_2014-05-13_final
2014-05-13 11:14:54	ga_ls8c_ard_3-0-0_109078_2014-05-13_final
2014-05-14 10:19:16	ga_ls8c_ard_3-0-0_100078_2014-05-14_final
2014-05-15 09:23:38	ga_ls8c_ard_3-0-0_091078_2014-05-14_final
2014-05-15 11:02:31	ga_ls8c_ard_3-0-0_107078_2014-05-15_final
2014-05-16 10:06:52	ga_ls8c_ard_3-0-0_098078_2014-05-16_final
2014-05-16 11:45:46	ga_ls8c_ard_3-0-0_114078_2014-05-16_final
2014-05-17 09:10:51	ga_ls8c_ard_3-0-0_089077_2014-05-16_final
2014-05-17 09:11:15	ga_ls8c_ard_3-0-0_089078_2014-05-16_final
2014-05-17 10:50:08	ga_ls8c_ard_3-0-0_105078_2014-05-17_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 11:33:33	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 11:21:25	ga_ls8c_ard_3-1-0_110078_2020-07-23_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
2020-08-13 11:40:02	ga_ls8c_ard_3-1-0_113078_2020-08-13_final
2020-10-04 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-10-04_final
2020-10-04 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-10-04_final
2020-10-05 10:19:37	ga_ls8c_ard_3-1-0_100077_2020-10-05_final
2020-10-05 10:20:01	ga_ls8c_ard_3-1-0_100078_2020-10-05_final
2020-10-05 11:58:54	ga_ls8c_ard_3-1-0_116078_2020-10-05_final
2020-10-06 09:24:00	ga_ls8c_ard_3-1-0_091077_2020-10-05_final
2020-10-06 09:24:24	ga_ls8c_ard_3-1-0_091078_2020-10-05_final
2020-10-06 11:03:17	ga_ls8c_ard_3-1-0_107078_2020-10-06_final
2020-11-12 11:21:46	ga_ls8c_ard_3-1-0_110078_2020-11-12_final
2020-11-15 10:13:48	ga_ls8c_ard_3-1-0_099078_2020-11-15_final
2020-11-15 11:52:41	ga_ls8c_ard_3-1-0_115078_2020-11-15_final
2020-11-16 09:18:11	ga_ls8c_ard_3-1-0_090078_2020-11-15_final
2020-11-19 09:49:06	ga_ls8c_ard_3-1-0_095078_2020-11-19_final
2020-11-19 11:27:59	ga_ls8c_ard_3-1-0_111078_2020-11-19_final
2020-11-20 10:32:22	ga_ls8c_ard_3-1-0_102078_2020-11-20_final
2020-11-21 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-11-21_final
2020-11-21 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-11-21_final
2020-11-22 10:20:01	ga_ls8c_ard_3-1-0_100078_2020-11-22_final
2020-11-22 11:58:30	ga_ls8c_ard_3-1-0_116077_2020-11-22_final
2020-11-22 11:58:54	ga_ls8c_ard_3-1-0_116078_2020-11-22_final
2020-12-04 10:44:46	ga_ls8c_ard_3-1-0_104078_2020-12-04_final
2020-12-05 09:49:09	ga_ls8c_ard_3-1-0_095078_2020-12-05_final
2020-12-05 11:28:02	ga_ls8c_ard_3-1-0_111078_2020-12-05_final
2020-12-06 10:32:25	ga_ls8c_ard_3-1-0_102078_2020-12-06_final
2020-12-07 09:36:47	ga_ls8c_ard_3-1-0_093078_2020-12-07_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