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
2013-10-26 09:31:36	ga_ls8c_ard_3-0-0_092077_2013-10-26_final
2013-10-26 11:10:53	ga_ls8c_ard_3-0-0_108078_2013-10-26_final
2013-10-27 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-10-27_final
2013-10-27 10:15:15	ga_ls8c_ard_3-0-0_099078_2013-10-27_final
2013-10-27 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-10-27_final
2013-10-28 09:19:37	ga_ls8c_ard_3-0-0_090078_2013-10-27_final
2013-10-28 10:58:30	ga_ls8c_ard_3-0-0_106078_2013-10-28_final
2013-10-29 10:02:52	ga_ls8c_ard_3-0-0_097078_2013-10-29_final
2013-10-29 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-10-29_final
2013-10-30 10:46:08	ga_ls8c_ard_3-0-0_104078_2013-10-30_final
2013-11-14 10:02:52	ga_ls8c_ard_3-0-0_097078_2013-11-14_final
2013-11-14 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-11-14_final
2013-11-15 10:46:07	ga_ls8c_ard_3-0-0_104078_2013-11-15_final
2013-11-16 09:50:29	ga_ls8c_ard_3-0-0_095078_2013-11-16_final
2013-11-17 10:33:44	ga_ls8c_ard_3-0-0_102078_2013-11-17_final
2013-11-30 10:02:23	ga_ls8c_ard_3-0-0_097077_2013-11-30_final
2013-11-30 10:02:47	ga_ls8c_ard_3-0-0_097078_2013-11-30_final
2013-11-30 11:41:40	ga_ls8c_ard_3-0-0_113078_2013-11-30_final
2013-12-01 10:46:02	ga_ls8c_ard_3-0-0_104078_2013-12-01_final
2013-12-02 09:50:25	ga_ls8c_ard_3-0-0_095078_2013-12-02_final
2013-12-02 11:29:18	ga_ls8c_ard_3-0-0_111078_2013-12-02_final
2013-12-03 10:33:41	ga_ls8c_ard_3-0-0_102078_2013-12-03_final
2013-12-04 09:38:04	ga_ls8c_ard_3-0-0_093078_2013-12-04_final
2013-12-18 09:50:17	ga_ls8c_ard_3-0-0_095078_2013-12-18_final
2013-12-18 11:29:10	ga_ls8c_ard_3-0-0_111078_2013-12-18_final
2013-12-19 10:33:32	ga_ls8c_ard_3-0-0_102078_2013-12-19_final
2013-12-20 09:37:54	ga_ls8c_ard_3-0-0_093078_2013-12-20_final
2013-12-21 10:21:10	ga_ls8c_ard_3-0-0_100078_2013-12-21_final
2013-12-22 09:25:32	ga_ls8c_ard_3-0-0_091078_2013-12-21_final
2013-12-22 11:04:25	ga_ls8c_ard_3-0-0_107078_2013-12-22_final
2013-12-23 10:08:48	ga_ls8c_ard_3-0-0_098078_2013-12-23_final
2013-12-23 11:47:41	ga_ls8c_ard_3-0-0_114078_2013-12-23_final
2019-11-28 09:30:11	ga_ls8c_ard_3-1-0_092077_2019-11-28_final
2019-11-28 09:30:35	ga_ls8c_ard_3-1-0_092078_2019-11-28_final
2019-11-28 11:09:28	ga_ls8c_ard_3-1-0_108078_2019-11-28_final
2019-11-29 10:13:26	ga_ls8c_ard_3-1-0_099077_2019-11-29_final
2019-11-29 10:13:50	ga_ls8c_ard_3-1-0_099078_2019-11-29_final
2019-11-29 11:52:19	ga_ls8c_ard_3-1-0_115077_2019-11-29_final
2019-11-29 11:52:43	ga_ls8c_ard_3-1-0_115078_2019-11-29_final
2019-11-30 09:17:49	ga_ls8c_ard_3-1-0_090077_2019-11-29_final
2019-11-30 09:18:13	ga_ls8c_ard_3-1-0_090078_2019-11-29_final
2019-11-30 10:56:42	ga_ls8c_ard_3-1-0_106077_2019-11-30_final
2019-11-30 10:57:06	ga_ls8c_ard_3-1-0_106078_2019-11-30_final
2019-12-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2019-12-01_final
2019-12-01 10:01:29	ga_ls8c_ard_3-1-0_097078_2019-12-01_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_final
2019-12-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2019-12-01_final
2019-12-02 10:44:20	ga_ls8c_ard_3-1-0_104077_2019-12-02_final
2019-12-02 10:44:44	ga_ls8c_ard_3-1-0_104078_2019-12-02_final
2020-01-09 10:07:08	ga_ls8c_ard_3-1-0_098077_2020-01-09_final
2020-01-09 10:07:32	ga_ls8c_ard_3-1-0_098078_2020-01-09_final
2020-01-09 11:46:25	ga_ls8c_ard_3-1-0_114078_2020-01-09_final
2020-01-10 09:11:31	ga_ls8c_ard_3-1-0_089077_2020-01-09_final
2020-01-10 09:11:55	ga_ls8c_ard_3-1-0_089078_2020-01-09_final
2020-01-10 10:50:24	ga_ls8c_ard_3-1-0_105077_2020-01-10_final
2020-01-10 10:50:48	ga_ls8c_ard_3-1-0_105078_2020-01-10_final
2020-01-25 10:07:28	ga_ls8c_ard_3-1-0_098078_2020-01-25_final
2020-01-25 11:45:57	ga_ls8c_ard_3-1-0_114077_2020-01-25_final
2020-01-25 11:46:21	ga_ls8c_ard_3-1-0_114078_2020-01-25_final
2020-01-26 09:11:26	ga_ls8c_ard_3-1-0_089077_2020-01-25_final
2020-01-26 09:11:50	ga_ls8c_ard_3-1-0_089078_2020-01-25_final
2020-01-26 10:50:43	ga_ls8c_ard_3-1-0_105078_2020-01-26_final
2021-02-03 11:52:08	ga_ls8c_ard_3-2-0_115077_2021-02-03_final
2021-02-03 11:52:32	ga_ls8c_ard_3-2-0_115078_2021-02-03_final
2021-02-04 09:17:37	ga_ls8c_ard_3-2-0_090077_2021-02-03_final
2021-02-04 09:18:01	ga_ls8c_ard_3-2-0_090078_2021-02-03_final
2021-02-04 10:56:30	ga_ls8c_ard_3-2-0_106077_2021-02-04_final
2021-02-04 10:56:54	ga_ls8c_ard_3-2-0_106078_2021-02-04_final
2021-02-05 10:00:53	ga_ls8c_ard_3-2-0_097077_2021-02-05_final
2021-02-05 10:01:17	ga_ls8c_ard_3-2-0_097078_2021-02-05_final
2021-02-12 10:07:02	ga_ls8c_ard_3-2-0_098077_2021-02-12_final
2021-02-12 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-02-12_final
2021-02-12 11:46:19	ga_ls8c_ard_3-2-0_114078_2021-02-12_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-13 10:50:41	ga_ls8c_ard_3-2-0_105078_2021-02-13_final
2021-02-14 09:54:40	ga_ls8c_ard_3-2-0_096077_2021-02-14_final
2021-02-14 09:55:04	ga_ls8c_ard_3-2-0_096078_2021-02-14_final
2021-02-14 11:33:57	ga_ls8c_ard_3-2-0_112078_2021-02-14_final
2021-02-15 10:38:19	ga_ls8c_ard_3-2-0_103078_2021-02-15_final
2021-02-16 09:42:17	ga_ls8c_ard_3-2-0_094077_2021-02-16_final
2021-02-16 09:42:41	ga_ls8c_ard_3-2-0_094078_2021-02-16_final
2021-02-16 11:21:34	ga_ls8c_ard_3-2-0_110078_2021-02-16_final
2021-02-23 09:48:50	ga_ls8c_ard_3-2-0_095078_2021-02-23_final
2021-02-23 11:27:43	ga_ls8c_ard_3-2-0_111078_2021-02-23_final
2021-02-24 10:32:05	ga_ls8c_ard_3-2-0_102078_2021-02-24_final
2021-02-25 09:36:03	ga_ls8c_ard_3-2-0_093077_2021-02-25_final
2021-02-25 09:36:27	ga_ls8c_ard_3-2-0_093078_2021-02-25_final
2021-02-25 11:15:20	ga_ls8c_ard_3-2-0_109078_2021-02-25_final
2021-02-26 10:19:42	ga_ls8c_ard_3-2-0_100078_2021-02-26_final
2021-02-26 11:58:12	ga_ls8c_ard_3-2-0_116077_2021-02-26_final
2021-02-26 11:58:35	ga_ls8c_ard_3-2-0_116078_2021-02-26_final
2021-02-27 09:23:41	ga_ls8c_ard_3-2-0_091077_2021-02-26_final
2021-02-27 09:24:05	ga_ls8c_ard_3-2-0_091078_2021-02-26_final
2021-02-27 11:02:58	ga_ls8c_ard_3-2-0_107078_2021-02-27_final
2021-03-10 10:44:19	ga_ls8c_ard_3-2-0_104078_2021-03-10_final
2021-03-11 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-03-11_final
2021-03-11 11:27:34	ga_ls8c_ard_3-2-0_111078_2021-03-11_final
2021-03-12 10:31:57	ga_ls8c_ard_3-2-0_102078_2021-03-12_final
2021-03-13 09:36:19	ga_ls8c_ard_3-2-0_093078_2021-03-13_final
2021-07-29 11:52:02	ga_ls8c_ard_3-2-0_115077_2021-07-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years