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
2015-01-17 09:29:52	ga_ls8c_ard_3-0-0_092077_2015-01-16_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
2015-02-19 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
2019-07-11 10:43:57	ga_ls8c_ard_3-1-0_104077_2019-07-11_final
2019-07-12 09:48:20	ga_ls8c_ard_3-1-0_095077_2019-07-12_final
2019-07-12 11:27:13	ga_ls8c_ard_3-1-0_111077_2019-07-12_final
2019-07-13 10:31:36	ga_ls8c_ard_3-1-0_102077_2019-07-13_final
2019-07-14 09:35:59	ga_ls8c_ard_3-1-0_093077_2019-07-14_final
2019-07-15 10:19:15	ga_ls8c_ard_3-1-0_100077_2019-07-15_final
2019-07-16 09:23:37	ga_ls8c_ard_3-1-0_091077_2019-07-15_final
2019-07-16 11:02:30	ga_ls8c_ard_3-1-0_107077_2019-07-16_final
2019-07-24 10:13:07	ga_ls8c_ard_3-1-0_099077_2019-07-24_final
2019-07-24 11:52:00	ga_ls8c_ard_3-1-0_115077_2019-07-24_final
2019-07-25 09:17:30	ga_ls8c_ard_3-1-0_090077_2019-07-24_final
2019-07-25 10:56:23	ga_ls8c_ard_3-1-0_106077_2019-07-25_final
2019-07-28 09:48:25	ga_ls8c_ard_3-1-0_095077_2019-07-28_final
2019-07-28 11:27:18	ga_ls8c_ard_3-1-0_111077_2019-07-28_final
2019-07-29 10:31:41	ga_ls8c_ard_3-1-0_102077_2019-07-29_final
2019-08-06 09:42:18	ga_ls8c_ard_3-1-0_094077_2019-08-06_final
2019-08-06 11:21:11	ga_ls8c_ard_3-1-0_110077_2019-08-06_final
2019-08-07 10:25:34	ga_ls8c_ard_3-1-0_101077_2019-08-07_final
2019-08-08 09:29:57	ga_ls8c_ard_3-1-0_092077_2019-08-07_final
2019-08-08 11:08:50	ga_ls8c_ard_3-1-0_108077_2019-08-08_final
2019-08-09 10:12:49	ga_ls8c_ard_3-1-0_099076_2019-08-09_final
2019-08-09 10:13:13	ga_ls8c_ard_3-1-0_099077_2019-08-09_final
2019-08-09 11:52:06	ga_ls8c_ard_3-1-0_115077_2019-08-09_final
2019-08-10 09:17:36	ga_ls8c_ard_3-1-0_090077_2019-08-09_final
2019-08-10 10:56:29	ga_ls8c_ard_3-1-0_106077_2019-08-10_final
2019-08-28 10:44:12	ga_ls8c_ard_3-1-0_104077_2019-08-28_final
2019-08-29 09:48:35	ga_ls8c_ard_3-1-0_095077_2019-08-29_final
2019-08-29 11:27:28	ga_ls8c_ard_3-1-0_111077_2019-08-29_final
2019-08-30 10:31:51	ga_ls8c_ard_3-1-0_102077_2019-08-30_final
2019-09-06 10:38:03	ga_ls8c_ard_3-1-0_103077_2019-09-06_final
2019-09-07 09:42:26	ga_ls8c_ard_3-1-0_094077_2019-09-07_final
2019-09-07 11:21:19	ga_ls8c_ard_3-1-0_110077_2019-09-07_final
2019-09-08 10:25:42	ga_ls8c_ard_3-1-0_101077_2019-09-08_final
2019-09-12 10:01:01	ga_ls8c_ard_3-1-0_097077_2019-09-12_final
2019-09-12 11:39:54	ga_ls8c_ard_3-1-0_113077_2019-09-12_final
2019-09-13 10:44:17	ga_ls8c_ard_3-1-0_104077_2019-09-13_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2019-09-14 11:27:33	ga_ls8c_ard_3-1-0_111077_2019-09-14_final
2019-09-15 10:31:56	ga_ls8c_ard_3-1-0_102077_2019-09-15_final
2019-10-12 10:13:30	ga_ls8c_ard_3-1-0_099077_2019-10-12_final
2019-10-12 11:52:23	ga_ls8c_ard_3-1-0_115077_2019-10-12_final
2019-10-13 09:17:53	ga_ls8c_ard_3-1-0_090077_2019-10-12_final
2019-10-13 10:56:46	ga_ls8c_ard_3-1-0_106077_2019-10-13_final
2019-10-24 10:38:14	ga_ls8c_ard_3-1-0_103077_2019-10-24_final
2019-10-25 09:42:37	ga_ls8c_ard_3-1-0_094077_2019-10-25_final
2019-10-25 11:21:30	ga_ls8c_ard_3-1-0_110077_2019-10-25_final
2019-10-26 10:25:53	ga_ls8c_ard_3-1-0_101077_2019-10-26_final
2019-11-18 10:32:00	ga_ls8c_ard_3-1-0_102077_2019-11-18_final
2019-11-19 09:36:22	ga_ls8c_ard_3-1-0_093077_2019-11-19_final
2019-11-19 11:15:15	ga_ls8c_ard_3-1-0_109077_2019-11-19_final
2019-11-20 10:19:37	ga_ls8c_ard_3-1-0_100077_2019-11-20_final
2019-11-20 11:58:30	ga_ls8c_ard_3-1-0_116077_2019-11-20_final
2019-11-21 09:24:00	ga_ls8c_ard_3-1-0_091077_2019-11-20_final
2019-11-21 11:02:53	ga_ls8c_ard_3-1-0_107077_2019-11-21_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
2023-03-30 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
2023-04-11 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
2023-04-25 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

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