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
2013-03-31 09:32:39	ga_ls8c_ard_3-0-0_092076_2013-03-31_final
2013-03-31 11:11:13	ga_ls8c_ard_3-0-0_108076_2013-03-31_final
2013-04-01 10:11:14	ga_ls8c_ard_3-0-0_099076_2013-04-01_final
2013-04-01 11:49:48	ga_ls8c_ard_3-0-0_114076_2013-04-01_final
2013-04-02 10:49:49	ga_ls8c_ard_3-0-0_105076_2013-04-02_final
2013-07-01 10:51:46	ga_ls8c_ard_3-0-0_105076_2013-07-01_final
2013-07-02 09:56:09	ga_ls8c_ard_3-0-0_096076_2013-07-02_final
2013-07-02 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-02_final
2013-07-02 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-07-02_final
2013-07-03 10:39:01	ga_ls8c_ard_3-0-0_103075_2013-07-03_final
2013-07-03 10:39:25	ga_ls8c_ard_3-0-0_103076_2013-07-03_final
2013-07-04 09:43:24	ga_ls8c_ard_3-0-0_094075_2013-07-04_final
2013-07-04 09:43:48	ga_ls8c_ard_3-0-0_094076_2013-07-04_final
2013-07-04 11:22:17	ga_ls8c_ard_3-0-0_110075_2013-07-04_final
2013-07-04 11:22:41	ga_ls8c_ard_3-0-0_110076_2013-07-04_final
2013-07-05 10:26:40	ga_ls8c_ard_3-0-0_101075_2013-07-05_final
2013-07-05 10:27:04	ga_ls8c_ard_3-0-0_101076_2013-07-05_final
2013-08-21 11:22:44	ga_ls8c_ard_3-0-0_110076_2013-08-21_final
2013-08-22 10:27:07	ga_ls8c_ard_3-0-0_101076_2013-08-22_final
2013-08-23 09:31:06	ga_ls8c_ard_3-0-0_092075_2013-08-23_final
2013-08-23 09:31:30	ga_ls8c_ard_3-0-0_092076_2013-08-23_final
2013-08-23 11:09:59	ga_ls8c_ard_3-0-0_108075_2013-08-23_final
2013-08-23 11:10:23	ga_ls8c_ard_3-0-0_108076_2013-08-23_final
2013-08-24 10:14:46	ga_ls8c_ard_3-0-0_099076_2013-08-24_final
2013-08-24 11:53:15	ga_ls8c_ard_3-0-0_115075_2013-08-24_final
2013-08-24 11:53:39	ga_ls8c_ard_3-0-0_115076_2013-08-24_final
2018-02-23 10:37:12	ga_ls8c_ard_3-0-0_103076_2018-02-23_final
2018-02-24 09:41:10	ga_ls8c_ard_3-0-0_094075_2018-02-24_final
2018-02-24 09:41:34	ga_ls8c_ard_3-0-0_094076_2018-02-24_final
2018-02-24 11:20:27	ga_ls8c_ard_3-0-0_110076_2018-02-24_final
2018-02-25 10:24:49	ga_ls8c_ard_3-0-0_101076_2018-02-25_final
2018-02-26 09:29:11	ga_ls8c_ard_3-0-0_092076_2018-02-25_final
2018-02-26 11:08:04	ga_ls8c_ard_3-0-0_108076_2018-02-26_final
2018-03-11 10:37:03	ga_ls8c_ard_3-0-0_103076_2018-03-11_final
2018-03-12 09:41:25	ga_ls8c_ard_3-0-0_094076_2018-03-12_final
2018-03-12 11:19:54	ga_ls8c_ard_3-0-0_110075_2018-03-12_final
2018-03-12 11:20:18	ga_ls8c_ard_3-0-0_110076_2018-03-12_final
2018-03-13 10:24:40	ga_ls8c_ard_3-0-0_101076_2018-03-13_final
2018-03-14 09:28:38	ga_ls8c_ard_3-0-0_092075_2018-03-13_final
2018-03-14 09:29:02	ga_ls8c_ard_3-0-0_092076_2018-03-13_final
2018-03-14 11:07:31	ga_ls8c_ard_3-0-0_108075_2018-03-14_final
2018-03-14 11:07:55	ga_ls8c_ard_3-0-0_108076_2018-03-14_final
2018-05-17 09:28:27	ga_ls8c_ard_3-0-0_092076_2018-05-16_final
2018-05-17 11:07:20	ga_ls8c_ard_3-0-0_108076_2018-05-17_final
2018-07-01 10:36:30	ga_ls8c_ard_3-0-0_103076_2018-07-01_final
2018-07-02 09:40:29	ga_ls8c_ard_3-0-0_094075_2018-07-02_final
2018-07-02 09:40:53	ga_ls8c_ard_3-0-0_094076_2018-07-02_final
2018-07-02 11:19:22	ga_ls8c_ard_3-0-0_110075_2018-07-02_final
2018-07-02 11:19:46	ga_ls8c_ard_3-0-0_110076_2018-07-02_final
2018-07-03 10:23:45	ga_ls8c_ard_3-0-0_101075_2018-07-03_final
2018-07-03 10:24:09	ga_ls8c_ard_3-0-0_101076_2018-07-03_final
2018-07-04 09:28:08	ga_ls8c_ard_3-0-0_092075_2018-07-03_final
2018-07-04 09:28:32	ga_ls8c_ard_3-0-0_092076_2018-07-03_final
2018-07-04 11:07:01	ga_ls8c_ard_3-0-0_108075_2018-07-04_final
2018-07-04 11:07:25	ga_ls8c_ard_3-0-0_108076_2018-07-04_final
2019-07-13 10:30:48	ga_ls8c_ard_3-1-0_102075_2019-07-13_final
2019-07-13 10:31:12	ga_ls8c_ard_3-1-0_102076_2019-07-13_final
2019-07-14 09:35:11	ga_ls8c_ard_3-1-0_093075_2019-07-14_final
2019-07-14 09:35:35	ga_ls8c_ard_3-1-0_093076_2019-07-14_final
2019-07-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2019-07-14_final
2019-07-14 11:14:28	ga_ls8c_ard_3-1-0_109076_2019-07-14_final
2019-07-15 10:18:27	ga_ls8c_ard_3-1-0_100075_2019-07-15_final
2019-07-15 10:18:51	ga_ls8c_ard_3-1-0_100076_2019-07-15_final
2019-07-15 11:57:20	ga_ls8c_ard_3-1-0_116075_2019-07-15_final
2019-07-15 11:57:44	ga_ls8c_ard_3-1-0_116076_2019-07-15_final
2019-07-16 09:22:49	ga_ls8c_ard_3-1-0_091075_2019-07-15_final
2019-07-16 09:23:13	ga_ls8c_ard_3-1-0_091076_2019-07-15_final
2019-07-16 11:01:43	ga_ls8c_ard_3-1-0_107075_2019-07-16_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-10-01 10:31:13	ga_ls8c_ard_3-1-0_102075_2019-10-01_final
2019-10-02 09:35:36	ga_ls8c_ard_3-1-0_093075_2019-10-02_final
2019-10-02 09:36:00	ga_ls8c_ard_3-1-0_093076_2019-10-02_final
2019-10-03 10:18:52	ga_ls8c_ard_3-1-0_100075_2019-10-03_final
2019-10-03 10:19:16	ga_ls8c_ard_3-1-0_100076_2019-10-03_final
2019-10-04 09:23:15	ga_ls8c_ard_3-1-0_091075_2019-10-03_final
2019-10-04 09:23:39	ga_ls8c_ard_3-1-0_091076_2019-10-03_final
2019-10-04 11:02:08	ga_ls8c_ard_3-1-0_107075_2019-10-04_final
2019-10-04 11:02:32	ga_ls8c_ard_3-1-0_107076_2019-10-04_final
2019-10-05 10:06:30	ga_ls8c_ard_3-1-0_098075_2019-10-05_final
2019-10-05 10:06:54	ga_ls8c_ard_3-1-0_098076_2019-10-05_final
2019-10-05 11:45:24	ga_ls8c_ard_3-1-0_114075_2019-10-05_final
2019-10-05 11:45:48	ga_ls8c_ard_3-1-0_114076_2019-10-05_final
2019-10-06 09:10:53	ga_ls8c_ard_3-1-0_089075_2019-10-05_final
2019-10-06 09:11:17	ga_ls8c_ard_3-1-0_089076_2019-10-05_final
2019-10-06 10:50:10	ga_ls8c_ard_3-1-0_105076_2019-10-06_final
2019-10-07 09:54:09	ga_ls8c_ard_3-1-0_096075_2019-10-07_final
2019-10-07 09:54:33	ga_ls8c_ard_3-1-0_096076_2019-10-07_final
2019-10-07 11:33:26	ga_ls8c_ard_3-1-0_112076_2019-10-07_final
2019-10-08 10:37:49	ga_ls8c_ard_3-1-0_103076_2019-10-08_final
2019-11-09 10:37:25	ga_ls8c_ard_3-1-0_103075_2019-11-09_final
2019-11-09 10:37:49	ga_ls8c_ard_3-1-0_103076_2019-11-09_final
2019-11-10 09:41:47	ga_ls8c_ard_3-1-0_094075_2019-11-10_final
2019-11-10 09:42:11	ga_ls8c_ard_3-1-0_094076_2019-11-10_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-11-10 11:21:04	ga_ls8c_ard_3-1-0_110076_2019-11-10_final
2019-11-11 10:25:03	ga_ls8c_ard_3-1-0_101075_2019-11-11_final
2019-11-11 10:25:27	ga_ls8c_ard_3-1-0_101076_2019-11-11_final
2019-11-12 09:29:25	ga_ls8c_ard_3-1-0_092075_2019-11-11_final
2019-11-12 09:29:49	ga_ls8c_ard_3-1-0_092076_2019-11-11_final
2019-11-12 11:08:18	ga_ls8c_ard_3-1-0_108075_2019-11-12_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