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
2014-07-04 09:13:31	ga_ls8c_ard_3-0-0_089083_2014-07-03_final
2014-07-07 09:44:27	ga_ls8c_ard_3-0-0_094083_2014-07-07_final
2014-07-07 09:44:51	ga_ls8c_ard_3-0-0_094084_2014-07-07_final
2014-07-07 11:23:20	ga_ls8c_ard_3-0-0_110083_2014-07-07_final
2014-07-07 11:23:44	ga_ls8c_ard_3-0-0_110084_2014-07-07_final
2014-07-08 10:27:43	ga_ls8c_ard_3-0-0_101083_2014-07-08_final
2014-07-09 09:32:30	ga_ls8c_ard_3-0-0_092084_2014-07-09_final
2014-07-09 11:10:59	ga_ls8c_ard_3-0-0_108083_2014-07-09_final
2014-07-09 11:11:23	ga_ls8c_ard_3-0-0_108084_2014-07-09_final
2014-07-10 10:15:22	ga_ls8c_ard_3-0-0_099083_2014-07-10_final
2014-07-23 09:44:29	ga_ls8c_ard_3-0-0_094083_2014-07-23_final
2014-07-23 09:44:53	ga_ls8c_ard_3-0-0_094084_2014-07-23_final
2014-07-23 11:23:22	ga_ls8c_ard_3-0-0_110083_2014-07-23_final
2014-07-23 11:23:46	ga_ls8c_ard_3-0-0_110084_2014-07-23_final
2014-07-24 10:27:45	ga_ls8c_ard_3-0-0_101083_2014-07-24_final
2014-07-25 09:32:32	ga_ls8c_ard_3-0-0_092084_2014-07-25_final
2014-07-25 11:11:25	ga_ls8c_ard_3-0-0_108084_2014-07-25_final
2014-07-26 10:15:48	ga_ls8c_ard_3-0-0_099084_2014-07-26_final
2014-07-27 09:19:48	ga_ls8c_ard_3-0-0_090083_2014-07-26_final
2014-07-27 09:20:12	ga_ls8c_ard_3-0-0_090084_2014-07-26_final
2014-08-22 09:57:03	ga_ls8c_ard_3-0-0_096083_2014-08-22_final
2014-08-22 09:57:27	ga_ls8c_ard_3-0-0_096084_2014-08-22_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-08-24 09:44:41	ga_ls8c_ard_3-0-0_094083_2014-08-24_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-08-24 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-09-11 09:32:48	ga_ls8c_ard_3-0-0_092084_2014-09-11_final
2014-09-11 11:11:17	ga_ls8c_ard_3-0-0_108083_2014-09-11_final
2014-09-11 11:11:41	ga_ls8c_ard_3-0-0_108084_2014-09-11_final
2014-09-12 10:16:04	ga_ls8c_ard_3-0-0_099084_2014-09-12_final
2014-09-13 09:20:26	ga_ls8c_ard_3-0-0_090084_2014-09-12_final
2014-09-18 09:38:34	ga_ls8c_ard_3-0-0_093083_2014-09-18_final
2014-09-18 09:38:58	ga_ls8c_ard_3-0-0_093084_2014-09-18_final
2014-09-18 11:17:51	ga_ls8c_ard_3-0-0_109084_2014-09-18_final
2014-09-19 10:22:13	ga_ls8c_ard_3-0-0_100084_2014-09-19_final
2014-09-20 09:26:11	ga_ls8c_ard_3-0-0_091083_2014-09-19_final
2014-09-20 09:26:35	ga_ls8c_ard_3-0-0_091084_2014-09-19_final
2014-09-20 11:05:04	ga_ls8c_ard_3-0-0_107083_2014-09-20_final
2014-09-20 11:05:28	ga_ls8c_ard_3-0-0_107084_2014-09-20_final
2014-09-21 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-09-21_final
2014-10-07 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-07 10:09:56	ga_ls8c_ard_3-0-0_098084_2014-10-07_final
2014-10-08 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-10-07_final
2014-10-09 09:57:10	ga_ls8c_ard_3-0-0_096083_2014-10-09_final
2014-10-09 09:57:34	ga_ls8c_ard_3-0-0_096084_2014-10-09_final
2014-10-09 11:36:27	ga_ls8c_ard_3-0-0_112084_2014-10-09_final
2014-10-11 09:45:13	ga_ls8c_ard_3-0-0_094084_2014-10-11_final
2014-10-11 11:24:06	ga_ls8c_ard_3-0-0_110084_2014-10-11_final
2014-12-30 09:45:03	ga_ls8c_ard_3-0-0_094084_2014-12-30_final
2014-12-30 11:23:56	ga_ls8c_ard_3-0-0_110084_2014-12-30_final
2014-12-31 10:27:54	ga_ls8c_ard_3-0-0_101083_2014-12-31_final
2015-07-03 09:37:51	ga_ls8c_ard_3-0-0_093083_2015-07-03_final
2015-07-03 09:38:15	ga_ls8c_ard_3-0-0_093084_2015-07-03_final
2015-07-03 11:17:08	ga_ls8c_ard_3-0-0_109084_2015-07-03_final
2015-07-04 10:21:07	ga_ls8c_ard_3-0-0_100083_2015-07-04_final
2015-07-04 10:21:31	ga_ls8c_ard_3-0-0_100084_2015-07-04_final
2015-07-05 09:25:55	ga_ls8c_ard_3-0-0_091084_2015-07-04_final
2015-07-05 11:04:24	ga_ls8c_ard_3-0-0_107083_2015-07-05_final
2015-07-05 11:04:48	ga_ls8c_ard_3-0-0_107084_2015-07-05_final
2015-08-06 09:25:42	ga_ls8c_ard_3-0-0_091083_2015-08-05_final
2015-08-06 09:26:06	ga_ls8c_ard_3-0-0_091084_2015-08-05_final
2015-08-06 11:04:35	ga_ls8c_ard_3-0-0_107083_2015-08-06_final
2015-08-06 11:04:59	ga_ls8c_ard_3-0-0_107084_2015-08-06_final
2015-09-21 09:38:24	ga_ls8c_ard_3-0-0_093083_2015-09-21_final
2015-09-21 09:38:48	ga_ls8c_ard_3-0-0_093084_2015-09-21_final
2015-09-21 11:17:41	ga_ls8c_ard_3-0-0_109084_2015-09-21_final
2015-09-22 10:21:40	ga_ls8c_ard_3-0-0_100083_2015-09-22_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 11:05:20	ga_ls8c_ard_3-0-0_107084_2015-09-23_final
2015-11-24 09:38:59	ga_ls8c_ard_3-0-0_093084_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-24 11:17:52	ga_ls8c_ard_3-0-0_109084_2015-11-24_final
2015-11-25 10:22:15	ga_ls8c_ard_3-0-0_100084_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 11:05:06	ga_ls8c_ard_3-0-0_107083_2015-11-26_final
2015-11-26 11:05:30	ga_ls8c_ard_3-0-0_107084_2015-11-26_final
2023-08-07 09:07:23	ga_ls8c_ard_3-2-1_088083_2023-08-06_final
2023-08-08 09:50:39	ga_ls8c_ard_3-2-1_095083_2023-08-08_final
2023-08-08 09:51:03	ga_ls8c_ard_3-2-1_095084_2023-08-08_final
2023-08-08 11:29:32	ga_ls8c_ard_3-2-1_111083_2023-08-08_final
2023-08-08 11:29:56	ga_ls8c_ard_3-2-1_111084_2023-08-08_final
2023-08-14 09:14:01	ga_ls8c_ard_3-2-1_089084_2023-08-13_final
2023-08-14 10:52:30	ga_ls8c_ard_3-2-1_105083_2023-08-14_final
2023-08-15 09:56:53	ga_ls8c_ard_3-2-1_096083_2023-08-15_final
2023-08-15 09:57:17	ga_ls8c_ard_3-2-1_096084_2023-08-15_final
2023-08-15 11:35:46	ga_ls8c_ard_3-2-1_112083_2023-08-15_final
2023-08-15 11:36:10	ga_ls8c_ard_3-2-1_112084_2023-08-15_final
2023-08-17 09:44:33	ga_ls8c_ard_3-2-1_094083_2023-08-17_final
2023-08-17 09:44:57	ga_ls8c_ard_3-2-1_094084_2023-08-17_final
2023-08-17 11:23:26	ga_ls8c_ard_3-2-1_110083_2023-08-17_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2024-04-09 10:08:56	ga_ls8c_ard_3-2-1_098083_2024-04-09_final
2024-04-09 10:09:20	ga_ls8c_ard_3-2-1_098084_2024-04-09_final
2024-04-10 09:13:42	ga_ls8c_ard_3-2-1_089084_2024-04-09_final
2024-04-11 09:56:57	ga_ls8c_ard_3-2-1_096084_2024-04-11_final
2024-04-11 11:35:50	ga_ls8c_ard_3-2-1_112084_2024-04-11_final
2024-04-13 09:44:34	ga_ls8c_ard_3-2-1_094084_2024-04-13_final
2024-04-13 11:23:27	ga_ls8c_ard_3-2-1_110084_2024-04-13_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