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 10:08:14	ga_ls8c_ard_3-0-0_098077_2014-01-08_final
2014-01-08 11:47:07	ga_ls8c_ard_3-0-0_114077_2014-01-08_final
2014-01-09 10:51:29	ga_ls8c_ard_3-0-0_105077_2014-01-09_final
2014-01-10 09:55:50	ga_ls8c_ard_3-0-0_096077_2014-01-10_final
2014-01-10 11:34:43	ga_ls8c_ard_3-0-0_112077_2014-01-10_final
2014-01-11 10:39:05	ga_ls8c_ard_3-0-0_103077_2014-01-11_final
2014-01-12 09:43:26	ga_ls8c_ard_3-0-0_094077_2014-01-12_final
2014-01-12 11:22:19	ga_ls8c_ard_3-0-0_110077_2014-01-12_final
2014-01-13 10:26:41	ga_ls8c_ard_3-0-0_101077_2014-01-13_final
2014-01-14 09:31:02	ga_ls8c_ard_3-0-0_092077_2014-01-14_final
2014-01-14 11:09:55	ga_ls8c_ard_3-0-0_108077_2014-01-14_final
2014-02-07 10:20:17	ga_ls8c_ard_3-0-0_100077_2014-02-07_final
2014-02-08 09:24:38	ga_ls8c_ard_3-0-0_091077_2014-02-07_final
2014-02-08 11:03:31	ga_ls8c_ard_3-0-0_107077_2014-02-08_final
2014-02-09 11:46:46	ga_ls8c_ard_3-0-0_114077_2014-02-09_final
2014-02-10 10:51:07	ga_ls8c_ard_3-0-0_105077_2014-02-10_final
2014-02-11 09:55:28	ga_ls8c_ard_3-0-0_096077_2014-02-11_final
2014-02-12 10:38:43	ga_ls8c_ard_3-0-0_103077_2014-02-12_final
2014-02-13 09:43:04	ga_ls8c_ard_3-0-0_094077_2014-02-13_final
2014-05-12 10:31:15	ga_ls8c_ard_3-0-0_102077_2014-05-12_final
2014-05-13 09:35:37	ga_ls8c_ard_3-0-0_093077_2014-05-13_final
2014-05-13 11:14:30	ga_ls8c_ard_3-0-0_109077_2014-05-13_final
2014-05-14 10:18:52	ga_ls8c_ard_3-0-0_100077_2014-05-14_final
2014-05-15 09:23:14	ga_ls8c_ard_3-0-0_091077_2014-05-14_final
2014-05-15 11:02:07	ga_ls8c_ard_3-0-0_107077_2014-05-15_final
2014-05-16 10:06:29	ga_ls8c_ard_3-0-0_098077_2014-05-16_final
2014-05-16 11:45:22	ga_ls8c_ard_3-0-0_114077_2014-05-16_final
2014-05-17 09:10:51	ga_ls8c_ard_3-0-0_089077_2014-05-16_final
2014-05-17 10:49:44	ga_ls8c_ard_3-0-0_105077_2014-05-17_final
2020-06-01 10:06:02	ga_ls8c_ard_3-1-0_098076_2020-06-01_final
2020-06-01 10:06:26	ga_ls8c_ard_3-1-0_098077_2020-06-01_final
2020-06-01 11:45:19	ga_ls8c_ard_3-1-0_114077_2020-06-01_final
2020-06-02 09:10:50	ga_ls8c_ard_3-1-0_089077_2020-06-01_final
2020-06-02 10:49:43	ga_ls8c_ard_3-1-0_105077_2020-06-02_final
2020-06-03 09:54:06	ga_ls8c_ard_3-1-0_096077_2020-06-03_final
2020-06-03 11:32:59	ga_ls8c_ard_3-1-0_112077_2020-06-03_final
2020-06-17 10:06:36	ga_ls8c_ard_3-1-0_098077_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-06-18 09:10:35	ga_ls8c_ard_3-1-0_089076_2020-06-17_final
2020-06-18 09:10:59	ga_ls8c_ard_3-1-0_089077_2020-06-17_final
2020-06-18 10:49:28	ga_ls8c_ard_3-1-0_105076_2020-06-18_final
2020-06-18 10:49:52	ga_ls8c_ard_3-1-0_105077_2020-06-18_final
2020-06-19 09:54:16	ga_ls8c_ard_3-1-0_096077_2020-06-19_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-07-23 09:42:08	ga_ls8c_ard_3-1-0_094077_2020-07-23_final
2020-07-23 11:21:01	ga_ls8c_ard_3-1-0_110077_2020-07-23_final
2020-07-24 10:25:24	ga_ls8c_ard_3-1-0_101077_2020-07-24_final
2020-07-25 09:29:23	ga_ls8c_ard_3-1-0_092076_2020-07-24_final
2020-07-25 09:29:47	ga_ls8c_ard_3-1-0_092077_2020-07-24_final
2020-07-25 11:08:16	ga_ls8c_ard_3-1-0_108076_2020-07-25_final
2020-07-25 11:08:40	ga_ls8c_ard_3-1-0_108077_2020-07-25_final
2020-08-01 09:35:59	ga_ls8c_ard_3-1-0_093077_2020-08-01_final
2020-08-01 11:14:52	ga_ls8c_ard_3-1-0_109077_2020-08-01_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-08-02 10:19:15	ga_ls8c_ard_3-1-0_100077_2020-08-02_final
2020-08-02 11:57:44	ga_ls8c_ard_3-1-0_116076_2020-08-02_final
2020-08-02 11:58:08	ga_ls8c_ard_3-1-0_116077_2020-08-02_final
2020-08-03 09:23:38	ga_ls8c_ard_3-1-0_091077_2020-08-02_final
2020-08-03 11:02:07	ga_ls8c_ard_3-1-0_107076_2020-08-03_final
2020-08-03 11:02:31	ga_ls8c_ard_3-1-0_107077_2020-08-03_final
2020-08-11 10:12:42	ga_ls8c_ard_3-1-0_099076_2020-08-11_final
2020-08-11 10:13:06	ga_ls8c_ard_3-1-0_099077_2020-08-11_final
2020-08-11 11:51:59	ga_ls8c_ard_3-1-0_115077_2020-08-11_final
2020-08-12 09:17:05	ga_ls8c_ard_3-1-0_090076_2020-08-11_final
2020-08-12 09:17:29	ga_ls8c_ard_3-1-0_090077_2020-08-11_final
2020-08-12 10:56:22	ga_ls8c_ard_3-1-0_106077_2020-08-12_final
2020-08-13 10:00:45	ga_ls8c_ard_3-1-0_097077_2020-08-13_final
2020-08-13 11:39:38	ga_ls8c_ard_3-1-0_113077_2020-08-13_final
2020-08-20 11:45:53	ga_ls8c_ard_3-1-0_114077_2020-08-20_final
2020-08-21 09:10:59	ga_ls8c_ard_3-1-0_089076_2020-08-20_final
2020-08-21 09:11:23	ga_ls8c_ard_3-1-0_089077_2020-08-20_final
2020-08-21 10:49:52	ga_ls8c_ard_3-1-0_105076_2020-08-21_final
2020-08-21 10:50:16	ga_ls8c_ard_3-1-0_105077_2020-08-21_final
2020-08-22 09:54:39	ga_ls8c_ard_3-1-0_096077_2020-08-22_final
2020-08-22 11:33:32	ga_ls8c_ard_3-1-0_112077_2020-08-22_final
2020-10-04 09:36:21	ga_ls8c_ard_3-1-0_093077_2020-10-04_final
2020-10-04 11:15:15	ga_ls8c_ard_3-1-0_109077_2020-10-04_final
2020-10-05 10:19:13	ga_ls8c_ard_3-1-0_100076_2020-10-05_final
2020-10-05 10:19:37	ga_ls8c_ard_3-1-0_100077_2020-10-05_final
2020-10-05 11:58:30	ga_ls8c_ard_3-1-0_116077_2020-10-05_final
2020-10-06 09:23:36	ga_ls8c_ard_3-1-0_091076_2020-10-05_final
2020-10-06 09:24:00	ga_ls8c_ard_3-1-0_091077_2020-10-05_final
2020-10-06 11:02:53	ga_ls8c_ard_3-1-0_107077_2020-10-06_final
2020-11-12 11:21:22	ga_ls8c_ard_3-1-0_110077_2020-11-12_final
2020-11-15 10:13:24	ga_ls8c_ard_3-1-0_099077_2020-11-15_final
2020-11-15 11:52:17	ga_ls8c_ard_3-1-0_115077_2020-11-15_final
2020-11-16 09:17:47	ga_ls8c_ard_3-1-0_090077_2020-11-15_final
2020-11-19 09:48:42	ga_ls8c_ard_3-1-0_095077_2020-11-19_final
2020-11-19 11:27:35	ga_ls8c_ard_3-1-0_111077_2020-11-19_final
2020-11-20 10:31:58	ga_ls8c_ard_3-1-0_102077_2020-11-20_final
2020-11-21 09:36:21	ga_ls8c_ard_3-1-0_093077_2020-11-21_final
2020-11-21 11:15:14	ga_ls8c_ard_3-1-0_109077_2020-11-21_final
2020-11-22 10:19:37	ga_ls8c_ard_3-1-0_100077_2020-11-22_final
2020-11-22 11:58:06	ga_ls8c_ard_3-1-0_116076_2020-11-22_final
2020-11-22 11:58:30	ga_ls8c_ard_3-1-0_116077_2020-11-22_final
2020-12-04 10:44:22	ga_ls8c_ard_3-1-0_104077_2020-12-04_final
2020-12-05 09:48:45	ga_ls8c_ard_3-1-0_095077_2020-12-05_final
2020-12-05 11:27:38	ga_ls8c_ard_3-1-0_111077_2020-12-05_final
2020-12-06 10:32:01	ga_ls8c_ard_3-1-0_102077_2020-12-06_final
2020-12-07 09:36:23	ga_ls8c_ard_3-1-0_093077_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