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
2013-04-07 10:46:08	ga_ls8c_ard_3-1-0_104077_2013-04-07_final
2013-04-08 09:46:28	ga_ls8c_ard_3-0-0_094077_2013-04-08_final
2013-04-09 10:27:34	ga_ls8c_ard_3-0-0_101077_2013-04-09_final
2013-04-10 11:08:40	ga_ls8c_ard_3-0-0_108077_2013-04-10_final
2013-04-11 10:11:02	ga_ls8c_ard_3-0-0_098077_2013-04-11_final
2013-04-11 11:49:46	ga_ls8c_ard_3-0-0_114077_2013-04-11_final
2013-04-12 09:13:23	ga_ls8c_ard_3-0-0_089077_2013-04-11_final
2013-04-12 10:52:07	ga_ls8c_ard_3-0-0_105077_2013-04-12_final
2013-04-13 09:56:22	ga_ls8c_ard_3-0-0_096077_2013-04-13_final
2013-04-13 11:35:16	ga_ls8c_ard_3-0-0_112077_2013-04-13_final
2013-06-25 09:50:20	ga_ls8c_ard_3-0-0_095077_2013-06-25_final
2013-06-25 11:29:13	ga_ls8c_ard_3-0-0_111077_2013-06-25_final
2013-06-27 09:37:59	ga_ls8c_ard_3-0-0_093077_2013-06-27_final
2013-06-27 11:16:52	ga_ls8c_ard_3-0-0_109077_2013-06-27_final
2013-06-28 10:20:51	ga_ls8c_ard_3-0-0_100076_2013-06-28_final
2013-06-28 10:21:15	ga_ls8c_ard_3-0-0_100077_2013-06-28_final
2013-06-29 09:25:38	ga_ls8c_ard_3-0-0_091077_2013-06-28_final
2013-06-29 11:04:31	ga_ls8c_ard_3-0-0_107077_2013-06-29_final
2013-06-30 10:08:54	ga_ls8c_ard_3-0-0_098077_2013-06-30_final
2013-06-30 11:47:47	ga_ls8c_ard_3-0-0_114077_2013-06-30_final
2013-11-01 10:33:23	ga_ls8c_ard_3-0-0_102077_2013-11-01_final
2013-11-02 09:37:46	ga_ls8c_ard_3-0-0_093077_2013-11-02_final
2013-11-02 11:16:39	ga_ls8c_ard_3-0-0_109077_2013-11-02_final
2013-11-03 10:21:02	ga_ls8c_ard_3-0-0_100077_2013-11-03_final
2013-11-04 09:25:25	ga_ls8c_ard_3-0-0_091077_2013-11-03_final
2013-11-04 11:04:18	ga_ls8c_ard_3-0-0_107077_2013-11-04_final
2013-11-05 10:08:41	ga_ls8c_ard_3-0-0_098077_2013-11-05_final
2013-11-05 11:47:34	ga_ls8c_ard_3-0-0_114077_2013-11-05_final
2013-11-09 09:43:58	ga_ls8c_ard_3-0-0_094077_2013-11-09_final
2013-11-09 11:22:51	ga_ls8c_ard_3-0-0_110077_2013-11-09_final
2013-11-10 10:27:13	ga_ls8c_ard_3-0-0_101077_2013-11-10_final
2013-11-11 09:31:35	ga_ls8c_ard_3-0-0_092077_2013-11-11_final
2013-11-11 11:10:28	ga_ls8c_ard_3-0-0_108077_2013-11-11_final
2014-07-25 09:29:44	ga_ls8c_ard_3-0-0_092077_2014-07-24_final
2014-07-25 11:08:37	ga_ls8c_ard_3-0-0_108077_2014-07-25_final
2014-07-26 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-07-26_final
2014-07-26 11:51:30	ga_ls8c_ard_3-0-0_115076_2014-07-26_final
2014-07-26 11:51:54	ga_ls8c_ard_3-0-0_115077_2014-07-26_final
2014-07-27 09:17:24	ga_ls8c_ard_3-0-0_090077_2014-07-26_final
2014-07-27 10:55:53	ga_ls8c_ard_3-0-0_106076_2014-07-27_final
2014-07-27 10:56:17	ga_ls8c_ard_3-0-0_106077_2014-07-27_final
2014-10-07 10:07:08	ga_ls8c_ard_3-0-0_098077_2014-10-07_final
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2014-10-08 09:11:31	ga_ls8c_ard_3-0-0_089077_2014-10-07_final
2014-10-08 10:50:24	ga_ls8c_ard_3-0-0_105077_2014-10-08_final
2014-10-09 09:54:23	ga_ls8c_ard_3-0-0_096076_2014-10-09_final
2014-10-09 09:54:47	ga_ls8c_ard_3-0-0_096077_2014-10-09_final
2014-10-09 11:33:16	ga_ls8c_ard_3-0-0_112076_2014-10-09_final
2014-10-09 11:33:40	ga_ls8c_ard_3-0-0_112077_2014-10-09_final
2014-10-10 10:38:02	ga_ls8c_ard_3-0-0_103077_2014-10-10_final
2014-10-11 09:42:01	ga_ls8c_ard_3-0-0_094076_2014-10-11_final
2014-10-11 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-10-11_final
2014-10-11 11:21:19	ga_ls8c_ard_3-0-0_110077_2014-10-11_final
2014-10-12 10:25:42	ga_ls8c_ard_3-0-0_101077_2014-10-12_final
2014-10-19 10:31:54	ga_ls8c_ard_3-0-0_102077_2014-10-19_final
2014-10-20 09:35:53	ga_ls8c_ard_3-0-0_093076_2014-10-20_final
2014-10-20 09:36:16	ga_ls8c_ard_3-0-0_093077_2014-10-20_final
2014-10-20 11:15:09	ga_ls8c_ard_3-0-0_109077_2014-10-20_final
2014-10-21 10:19:08	ga_ls8c_ard_3-0-0_100076_2014-10-21_final
2014-10-21 10:19:32	ga_ls8c_ard_3-0-0_100077_2014-10-21_final
2014-10-22 09:23:55	ga_ls8c_ard_3-0-0_091077_2014-10-21_final
2014-10-22 11:02:48	ga_ls8c_ard_3-0-0_107077_2014-10-22_final
2014-10-23 10:06:46	ga_ls8c_ard_3-0-0_098076_2014-10-23_final
2014-10-23 10:07:10	ga_ls8c_ard_3-0-0_098077_2014-10-23_final
2014-10-23 11:46:03	ga_ls8c_ard_3-0-0_114077_2014-10-23_final
2014-10-24 09:11:08	ga_ls8c_ard_3-0-0_089076_2014-10-23_final
2014-10-24 09:11:32	ga_ls8c_ard_3-0-0_089077_2014-10-23_final
2023-03-22 11:45:41	ga_ls8c_ard_3-2-1_114077_2023-03-22_final
2023-03-23 09:11:10	ga_ls8c_ard_3-2-1_089077_2023-03-22_final
2023-03-23 10:50:03	ga_ls8c_ard_3-2-1_105077_2023-03-23_final
2023-03-24 09:54:25	ga_ls8c_ard_3-2-1_096077_2023-03-24_final
2023-03-30 10:56:11	ga_ls8c_ard_3-2-1_106077_2023-03-30_final
2023-03-31 10:00:33	ga_ls8c_ard_3-2-1_097077_2023-03-31_final
2023-03-31 11:39:26	ga_ls8c_ard_3-2-1_113077_2023-03-31_final
2023-04-01 10:43:48	ga_ls8c_ard_3-2-1_104077_2023-04-01_final
2023-04-02 09:48:09	ga_ls8c_ard_3-2-1_095077_2023-04-02_final
2023-04-02 11:27:02	ga_ls8c_ard_3-2-1_111077_2023-04-02_final
2023-04-03 10:31:24	ga_ls8c_ard_3-2-1_102077_2023-04-03_final
2023-04-04 09:35:46	ga_ls8c_ard_3-2-1_093077_2023-04-04_final
2023-04-04 11:14:39	ga_ls8c_ard_3-2-1_109077_2023-04-04_final
2023-04-05 10:19:00	ga_ls8c_ard_3-2-1_100077_2023-04-05_final
2023-04-05 11:57:53	ga_ls8c_ard_3-2-1_116077_2023-04-05_final
2023-04-06 09:23:22	ga_ls8c_ard_3-2-1_091077_2023-04-05_final
2023-04-06 11:02:14	ga_ls8c_ard_3-2-1_107077_2023-04-06_final
2023-04-07 10:06:36	ga_ls8c_ard_3-2-1_098077_2023-04-07_final
2023-04-09 09:54:11	ga_ls8c_ard_3-2-1_096077_2023-04-09_final
2023-04-09 11:33:04	ga_ls8c_ard_3-2-1_112077_2023-04-09_final
2023-04-10 10:37:25	ga_ls8c_ard_3-2-1_103077_2023-04-10_final
2023-04-11 09:41:47	ga_ls8c_ard_3-2-1_094077_2023-04-11_final
2023-04-11 11:20:40	ga_ls8c_ard_3-2-1_110077_2023-04-11_final
2023-04-12 10:25:02	ga_ls8c_ard_3-2-1_101077_2023-04-12_final
2023-04-13 09:29:25	ga_ls8c_ard_3-2-1_092077_2023-04-12_final
2023-04-13 11:08:18	ga_ls8c_ard_3-2-1_108077_2023-04-13_final
2023-04-14 10:12:40	ga_ls8c_ard_3-2-1_099077_2023-04-14_final
2023-04-14 11:51:34	ga_ls8c_ard_3-2-1_115077_2023-04-14_final
2023-04-15 09:17:03	ga_ls8c_ard_3-2-1_090077_2023-04-14_final
2023-06-03 09:59:41	ga_ls8c_ard_3-2-1_097076_2023-06-03_final
2023-06-03 10:00:05	ga_ls8c_ard_3-2-1_097077_2023-06-03_final
2023-06-03 11:38:58	ga_ls8c_ard_3-2-1_113077_2023-06-03_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