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
2013-04-21 10:45:49	ga_ls8c_ard_3-0-0_104077_2013-04-21_final
2013-04-22 09:50:11	ga_ls8c_ard_3-0-0_095077_2013-04-22_final
2013-04-22 11:29:04	ga_ls8c_ard_3-0-0_111077_2013-04-22_final
2013-04-23 10:33:26	ga_ls8c_ard_3-0-0_102077_2013-04-23_final
2013-04-24 09:37:48	ga_ls8c_ard_3-0-0_093077_2013-04-24_final
2013-04-24 11:16:41	ga_ls8c_ard_3-0-0_109077_2013-04-24_final
2013-04-26 09:25:26	ga_ls8c_ard_3-0-0_091077_2013-04-25_final
2013-04-26 11:04:19	ga_ls8c_ard_3-0-0_107077_2013-04-26_final
2013-07-01 10:52:10	ga_ls8c_ard_3-0-0_105077_2013-07-01_final
2013-07-02 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-07-02_final
2013-07-02 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-07-02_final
2013-07-03 10:39:49	ga_ls8c_ard_3-0-0_103077_2013-07-03_final
2013-07-04 09:43:48	ga_ls8c_ard_3-0-0_094076_2013-07-04_final
2013-07-04 09:44:12	ga_ls8c_ard_3-0-0_094077_2013-07-04_final
2013-07-04 11:22:41	ga_ls8c_ard_3-0-0_110076_2013-07-04_final
2013-07-04 11:23:05	ga_ls8c_ard_3-0-0_110077_2013-07-04_final
2013-07-05 10:27:28	ga_ls8c_ard_3-0-0_101077_2013-07-05_final
2013-08-11 10:46:02	ga_ls8c_ard_3-1-0_104077_2013-08-11_final
2013-08-12 09:50:24	ga_ls8c_ard_3-0-0_095077_2013-08-12_final
2013-08-12 11:29:17	ga_ls8c_ard_3-0-0_111077_2013-08-12_final
2013-09-11 10:02:46	ga_ls8c_ard_3-0-0_097077_2013-09-11_final
2013-09-11 11:41:39	ga_ls8c_ard_3-0-0_113077_2013-09-11_final
2013-09-13 09:50:23	ga_ls8c_ard_3-0-0_095077_2013-09-13_final
2013-09-13 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-09-13_final
2013-09-14 10:33:39	ga_ls8c_ard_3-0-0_102077_2013-09-14_final
2013-09-15 09:38:01	ga_ls8c_ard_3-0-0_093077_2013-09-15_final
2013-09-15 11:16:54	ga_ls8c_ard_3-0-0_109077_2013-09-15_final
2013-10-28 09:19:13	ga_ls8c_ard_3-0-0_090077_2013-10-27_final
2013-10-28 10:58:06	ga_ls8c_ard_3-0-0_106077_2013-10-28_final
2013-10-29 10:02:28	ga_ls8c_ard_3-0-0_097077_2013-10-29_final
2013-10-29 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-10-29_final
2013-10-30 10:45:44	ga_ls8c_ard_3-1-0_104077_2013-10-30_final
2013-10-31 09:50:07	ga_ls8c_ard_3-0-0_095077_2013-10-31_final
2013-10-31 11:29:00	ga_ls8c_ard_3-0-0_111077_2013-10-31_final
2013-11-12 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-11-12_final
2013-11-12 11:53:44	ga_ls8c_ard_3-0-0_115077_2013-11-12_final
2013-11-13 09:19:13	ga_ls8c_ard_3-0-0_090077_2013-11-12_final
2013-11-13 10:58:06	ga_ls8c_ard_3-0-0_106077_2013-11-13_final
2013-11-14 10:02:28	ga_ls8c_ard_3-0-0_097077_2013-11-14_final
2013-11-14 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-11-14_final
2013-11-15 10:45:43	ga_ls8c_ard_3-1-0_104077_2013-11-15_final
2015-01-17 09:29:52	ga_ls8c_ard_3-0-0_092077_2015-01-16_final
2015-01-17 11:08:21	ga_ls8c_ard_3-0-0_108076_2015-01-17_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-01-18 10:13:07	ga_ls8c_ard_3-0-0_099077_2015-01-18_final
2015-01-18 11:52:00	ga_ls8c_ard_3-0-0_115077_2015-01-18_final
2015-01-19 09:17:30	ga_ls8c_ard_3-0-0_090077_2015-01-18_final
2015-01-19 10:56:22	ga_ls8c_ard_3-0-0_106077_2015-01-19_final
2015-02-16 09:42:01	ga_ls8c_ard_3-0-0_094077_2015-02-16_final
2015-02-16 11:20:55	ga_ls8c_ard_3-0-0_110077_2015-02-16_final
2015-02-17 10:25:17	ga_ls8c_ard_3-0-0_101077_2015-02-17_final
2015-02-18 09:29:40	ga_ls8c_ard_3-0-0_092077_2015-02-17_final
2015-02-18 11:08:33	ga_ls8c_ard_3-0-0_108077_2015-02-18_final
2015-02-19 10:12:56	ga_ls8c_ard_3-0-0_099077_2015-02-19_final
2015-02-19 11:51:49	ga_ls8c_ard_3-0-0_115077_2015-02-19_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-02-20 10:56:12	ga_ls8c_ard_3-0-0_106077_2015-02-20_final
2015-02-28 10:06:43	ga_ls8c_ard_3-0-0_098077_2015-02-28_final
2015-02-28 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-02-28_final
2015-03-01 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-02-28_final
2015-03-01 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-03-01_final
2023-03-19 09:35:57	ga_ls8c_ard_3-2-1_093077_2023-03-19_final
2023-03-19 11:14:50	ga_ls8c_ard_3-2-1_109077_2023-03-19_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-03-20 11:58:05	ga_ls8c_ard_3-2-1_116077_2023-03-20_final
2023-03-21 09:23:34	ga_ls8c_ard_3-2-1_091077_2023-03-20_final
2023-03-21 11:02:27	ga_ls8c_ard_3-2-1_107077_2023-03-21_final
2023-03-22 10:06:48	ga_ls8c_ard_3-2-1_098077_2023-03-22_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
2023-04-25 09:54:06	ga_ls8c_ard_3-2-1_096077_2023-04-25_final
2023-04-25 11:32:59	ga_ls8c_ard_3-2-1_112077_2023-04-25_final
2023-04-26 10:37:21	ga_ls8c_ard_3-2-1_103077_2023-04-26_final
2023-04-27 09:41:43	ga_ls8c_ard_3-2-1_094077_2023-04-27_final
2023-04-27 11:20:36	ga_ls8c_ard_3-2-1_110077_2023-04-27_final
2023-04-28 10:24:59	ga_ls8c_ard_3-2-1_101077_2023-04-28_final
2023-11-13 10:31:50	ga_ls8c_ard_3-2-1_102077_2023-11-13_final
2023-11-14 09:36:13	ga_ls8c_ard_3-2-1_093077_2023-11-14_final
2023-11-14 11:15:06	ga_ls8c_ard_3-2-1_109077_2023-11-14_final
2023-11-15 10:19:05	ga_ls8c_ard_3-2-1_100076_2023-11-15_final
2023-11-15 10:19:29	ga_ls8c_ard_3-2-1_100077_2023-11-15_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-16 09:23:29	ga_ls8c_ard_3-2-1_091076_2023-11-15_final
2023-11-16 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-11-15_final
2023-11-16 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-11-16_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2023-11-17 11:46:02	ga_ls8c_ard_3-2-1_114077_2023-11-17_final
2023-11-18 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-11-17_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-19 09:54:24	ga_ls8c_ard_3-2-1_096076_2023-11-19_final
2023-11-19 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-11-19_final
2023-11-19 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-11-19_final
2023-11-20 10:38:04	ga_ls8c_ard_3-2-1_103077_2023-11-20_final
2023-11-21 09:42:28	ga_ls8c_ard_3-2-1_094077_2023-11-21_final
2023-11-21 11:21:21	ga_ls8c_ard_3-2-1_110077_2023-11-21_final
2023-11-22 10:25:44	ga_ls8c_ard_3-2-1_101077_2023-11-22_final
2023-11-23 09:29:42	ga_ls8c_ard_3-2-1_092076_2023-11-22_final
2023-11-23 09:30:06	ga_ls8c_ard_3-2-1_092077_2023-11-23_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