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
2013-04-08 09:45:16	ga_ls8c_ard_3-0-0_094074_2013-04-08_final
2013-04-09 10:26:22	ga_ls8c_ard_3-0-0_101074_2013-04-09_final
2013-04-10 11:07:28	ga_ls8c_ard_3-0-0_108074_2013-04-10_final
2013-04-11 10:09:50	ga_ls8c_ard_3-0-0_098074_2013-04-11_final
2013-04-11 11:48:34	ga_ls8c_ard_3-0-0_114074_2013-04-11_final
2013-04-12 10:50:56	ga_ls8c_ard_3-0-0_105074_2013-04-12_final
2013-04-13 09:55:11	ga_ls8c_ard_3-0-0_096074_2013-04-13_final
2013-04-13 11:34:04	ga_ls8c_ard_3-0-0_112074_2013-04-13_final
2013-06-25 09:49:08	ga_ls8c_ard_3-0-0_095074_2013-06-25_final
2013-06-27 09:36:47	ga_ls8c_ard_3-0-0_093074_2013-06-27_final
2013-06-27 11:15:40	ga_ls8c_ard_3-0-0_109074_2013-06-27_final
2013-06-28 10:20:03	ga_ls8c_ard_3-0-0_100074_2013-06-28_final
2013-06-29 11:03:19	ga_ls8c_ard_3-0-0_107074_2013-06-29_final
2013-06-30 10:07:42	ga_ls8c_ard_3-0-0_098074_2013-06-30_final
2013-06-30 11:46:35	ga_ls8c_ard_3-0-0_114074_2013-06-30_final
2013-11-01 10:32:12	ga_ls8c_ard_3-0-0_102074_2013-11-01_final
2013-11-02 09:36:35	ga_ls8c_ard_3-0-0_093074_2013-11-02_final
2013-11-02 11:15:28	ga_ls8c_ard_3-0-0_109074_2013-11-02_final
2013-11-03 10:19:51	ga_ls8c_ard_3-0-0_100074_2013-11-03_final
2013-11-04 11:03:06	ga_ls8c_ard_3-0-0_107074_2013-11-04_final
2013-11-05 10:07:29	ga_ls8c_ard_3-0-0_098074_2013-11-05_final
2013-11-05 11:46:22	ga_ls8c_ard_3-0-0_114074_2013-11-05_final
2013-11-09 09:42:46	ga_ls8c_ard_3-0-0_094074_2013-11-09_final
2013-11-09 11:21:39	ga_ls8c_ard_3-0-0_110074_2013-11-09_final
2013-11-10 10:26:01	ga_ls8c_ard_3-0-0_101074_2013-11-10_final
2013-11-11 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-11-11_final
2014-07-25 09:28:08	ga_ls8c_ard_3-1-0_092073_2014-07-24_final
2014-07-25 09:28:32	ga_ls8c_ard_3-0-0_092074_2014-07-24_final
2014-07-25 11:07:25	ga_ls8c_ard_3-0-0_108074_2014-07-25_final
2014-07-26 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-07-26_final
2014-07-26 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-07-26_final
2014-07-27 10:55:05	ga_ls8c_ard_3-0-0_106074_2014-07-27_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-08 10:49:12	ga_ls8c_ard_3-0-0_105074_2014-10-08_final
2014-10-09 09:53:35	ga_ls8c_ard_3-0-0_096074_2014-10-09_final
2014-10-09 11:32:28	ga_ls8c_ard_3-0-0_112074_2014-10-09_final
2014-10-10 10:36:50	ga_ls8c_ard_3-0-0_103074_2014-10-10_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 11:20:07	ga_ls8c_ard_3-0-0_110074_2014-10-11_final
2014-10-12 10:24:30	ga_ls8c_ard_3-0-0_101074_2014-10-12_final
2014-10-19 10:30:42	ga_ls8c_ard_3-0-0_102074_2014-10-19_final
2014-10-20 09:35:05	ga_ls8c_ard_3-0-0_093074_2014-10-20_final
2014-10-20 11:13:58	ga_ls8c_ard_3-0-0_109074_2014-10-20_final
2014-10-21 10:18:20	ga_ls8c_ard_3-0-0_100074_2014-10-21_final
2014-10-22 09:22:43	ga_ls8c_ard_3-0-0_091074_2014-10-21_final
2014-10-22 11:01:36	ga_ls8c_ard_3-0-0_107074_2014-10-22_final
2014-10-23 10:05:58	ga_ls8c_ard_3-0-0_098074_2014-10-23_final
2014-10-23 11:44:51	ga_ls8c_ard_3-0-0_114074_2014-10-23_final
2014-10-24 09:10:20	ga_ls8c_ard_3-0-0_089074_2014-10-23_final
2023-03-22 11:44:29	ga_ls8c_ard_3-2-1_114074_2023-03-22_final
2023-03-23 09:09:58	ga_ls8c_ard_3-2-1_089074_2023-03-22_final
2023-03-23 10:48:51	ga_ls8c_ard_3-2-1_105074_2023-03-23_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-30 10:54:59	ga_ls8c_ard_3-2-1_106074_2023-03-30_final
2023-03-31 09:59:21	ga_ls8c_ard_3-2-1_097074_2023-03-31_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-01 10:42:36	ga_ls8c_ard_3-2-1_104074_2023-04-01_final
2023-04-02 09:46:58	ga_ls8c_ard_3-2-1_095074_2023-04-02_final
2023-04-02 11:25:51	ga_ls8c_ard_3-2-1_111074_2023-04-02_final
2023-04-03 10:30:12	ga_ls8c_ard_3-2-1_102074_2023-04-03_final
2023-04-04 09:34:34	ga_ls8c_ard_3-2-1_093074_2023-04-04_final
2023-04-04 11:13:27	ga_ls8c_ard_3-2-1_109074_2023-04-04_final
2023-04-05 10:17:48	ga_ls8c_ard_3-2-1_100074_2023-04-05_final
2023-04-06 09:22:10	ga_ls8c_ard_3-2-1_091074_2023-04-05_final
2023-04-06 11:01:03	ga_ls8c_ard_3-2-1_107074_2023-04-06_final
2023-04-07 10:05:24	ga_ls8c_ard_3-2-1_098074_2023-04-07_final
2023-04-09 09:52:59	ga_ls8c_ard_3-2-1_096074_2023-04-09_final
2023-04-09 11:31:52	ga_ls8c_ard_3-2-1_112074_2023-04-09_final
2023-04-10 10:36:13	ga_ls8c_ard_3-2-1_103074_2023-04-10_final
2023-04-11 09:40:35	ga_ls8c_ard_3-2-1_094074_2023-04-11_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-04-13 09:28:13	ga_ls8c_ard_3-2-1_092074_2023-04-12_final
2023-04-13 11:07:06	ga_ls8c_ard_3-2-1_108074_2023-04-13_final
2023-04-14 10:11:29	ga_ls8c_ard_3-2-1_099074_2023-04-14_final
2023-04-14 11:50:22	ga_ls8c_ard_3-2-1_115074_2023-04-14_final
2023-04-15 09:15:51	ga_ls8c_ard_3-2-1_090074_2023-04-14_final
2023-05-16 10:11:11	ga_ls8c_ard_3-2-1_099074_2023-05-16_final
2023-05-16 11:50:04	ga_ls8c_ard_3-2-1_115074_2023-05-16_final
2023-05-17 09:15:33	ga_ls8c_ard_3-2-1_090074_2023-05-16_final
2023-05-17 10:54:26	ga_ls8c_ard_3-2-1_106074_2023-05-17_final
2023-05-18 09:58:49	ga_ls8c_ard_3-2-1_097074_2023-05-18_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-05-19 10:42:05	ga_ls8c_ard_3-2-1_104074_2023-05-19_final
2023-05-20 09:46:29	ga_ls8c_ard_3-2-1_095074_2023-05-20_final
2023-05-20 11:25:22	ga_ls8c_ard_3-2-1_111074_2023-05-20_final
2023-05-28 10:35:57	ga_ls8c_ard_3-2-1_103074_2023-05-28_final
2023-05-29 09:40:20	ga_ls8c_ard_3-2-1_094074_2023-05-29_final
2023-05-29 11:18:49	ga_ls8c_ard_3-2-1_110073_2023-05-29_final
2023-05-29 11:19:13	ga_ls8c_ard_3-2-1_110074_2023-05-29_final
2023-05-30 10:23:36	ga_ls8c_ard_3-2-1_101074_2023-05-30_final
2023-05-31 09:27:34	ga_ls8c_ard_3-2-1_092073_2023-05-30_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-05-31 11:06:27	ga_ls8c_ard_3-2-1_108073_2023-05-31_final
2023-05-31 11:06:51	ga_ls8c_ard_3-2-1_108074_2023-05-31_final
2023-06-03 09:58:53	ga_ls8c_ard_3-2-1_097074_2023-06-03_final
2023-06-03 11:37:22	ga_ls8c_ard_3-2-1_113073_2023-06-03_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_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