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
2013-11-16 09:50:05	ga_ls8c_ard_3-0-0_095077_2013-11-16_final
2013-11-17 10:33:20	ga_ls8c_ard_3-0-0_102077_2013-11-17_final
2013-11-18 09:37:42	ga_ls8c_ard_3-0-0_093077_2013-11-18_final
2013-11-18 11:16:35	ga_ls8c_ard_3-0-0_109077_2013-11-18_final
2013-11-19 10:20:57	ga_ls8c_ard_3-0-0_100077_2013-11-19_final
2013-11-20 11:04:11	ga_ls8c_ard_3-0-0_107077_2013-11-20_final
2013-12-07 10:08:33	ga_ls8c_ard_3-0-0_098077_2013-12-07_final
2013-12-07 11:47:26	ga_ls8c_ard_3-0-0_114077_2013-12-07_final
2013-12-08 09:12:56	ga_ls8c_ard_3-0-0_089077_2013-12-07_final
2013-12-08 10:51:49	ga_ls8c_ard_3-0-0_105077_2013-12-08_final
2013-12-09 09:56:11	ga_ls8c_ard_3-0-0_096077_2013-12-09_final
2013-12-09 11:35:04	ga_ls8c_ard_3-0-0_112077_2013-12-09_final
2013-12-10 10:39:26	ga_ls8c_ard_3-0-0_103077_2013-12-10_final
2013-12-11 09:43:48	ga_ls8c_ard_3-0-0_094077_2013-12-11_final
2013-12-11 11:22:41	ga_ls8c_ard_3-0-0_110077_2013-12-11_final
2013-12-12 10:27:04	ga_ls8c_ard_3-0-0_101077_2013-12-12_final
2013-12-13 09:31:26	ga_ls8c_ard_3-0-0_092077_2013-12-13_final
2013-12-13 11:10:19	ga_ls8c_ard_3-0-0_108077_2013-12-13_final
2013-12-14 10:14:40	ga_ls8c_ard_3-0-0_099077_2013-12-14_final
2013-12-14 11:53:34	ga_ls8c_ard_3-0-0_115077_2013-12-14_final
2013-12-15 09:19:02	ga_ls8c_ard_3-0-0_090077_2013-12-14_final
2015-07-19 09:35:37	ga_ls8c_ard_3-0-0_093077_2015-07-19_final
2015-07-19 11:14:06	ga_ls8c_ard_3-0-0_109076_2015-07-19_final
2015-07-20 10:18:29	ga_ls8c_ard_3-0-0_100076_2015-07-20_final
2015-07-20 10:18:53	ga_ls8c_ard_3-0-0_100077_2015-07-20_final
2015-07-20 11:57:46	ga_ls8c_ard_3-0-0_116077_2015-07-20_final
2015-07-21 09:23:16	ga_ls8c_ard_3-0-0_091077_2015-07-20_final
2015-07-21 11:02:09	ga_ls8c_ard_3-0-0_107077_2015-07-21_final
2015-08-07 10:06:10	ga_ls8c_ard_3-0-0_098076_2015-08-07_final
2015-08-07 10:06:34	ga_ls8c_ard_3-0-0_098077_2015-08-07_final
2015-08-07 11:45:03	ga_ls8c_ard_3-0-0_114076_2015-08-07_final
2015-08-07 11:45:27	ga_ls8c_ard_3-0-0_114077_2015-08-07_final
2015-08-08 09:10:33	ga_ls8c_ard_3-0-0_089076_2015-08-07_final
2015-08-08 09:10:57	ga_ls8c_ard_3-0-0_089077_2015-08-07_final
2015-08-08 10:49:50	ga_ls8c_ard_3-0-0_105077_2015-08-08_final
2015-08-09 09:54:14	ga_ls8c_ard_3-0-0_096077_2015-08-09_final
2015-08-09 11:32:43	ga_ls8c_ard_3-0-0_112076_2015-08-09_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-08-23 10:06:18	ga_ls8c_ard_3-0-0_098076_2015-08-23_final
2015-08-23 10:06:42	ga_ls8c_ard_3-0-0_098077_2015-08-23_final
2015-08-23 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-08-23_final
2015-08-23 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-08-23_final
2015-08-24 09:10:42	ga_ls8c_ard_3-0-0_089076_2015-08-23_final
2015-08-24 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-08-23_final
2015-08-24 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-08-24_final
2015-08-25 09:54:22	ga_ls8c_ard_3-0-0_096077_2015-08-25_final
2015-08-25 11:32:51	ga_ls8c_ard_3-0-0_112076_2015-08-25_final
2015-08-25 11:33:15	ga_ls8c_ard_3-0-0_112077_2015-08-25_final
2015-09-02 10:43:50	ga_ls8c_ard_3-1-0_104077_2015-09-02_final
2015-09-03 09:48:13	ga_ls8c_ard_3-0-0_095077_2015-09-03_final
2015-09-03 11:27:06	ga_ls8c_ard_3-0-0_111077_2015-09-03_final
2015-09-04 10:31:05	ga_ls8c_ard_3-0-0_102076_2015-09-04_final
2015-09-04 10:31:29	ga_ls8c_ard_3-0-0_102077_2015-09-04_final
2015-11-04 10:00:52	ga_ls8c_ard_3-0-0_097077_2015-11-04_final
2015-11-04 11:39:45	ga_ls8c_ard_3-0-0_113077_2015-11-04_final
2015-11-05 10:44:08	ga_ls8c_ard_3-1-0_104077_2015-11-05_final
2015-11-06 09:48:31	ga_ls8c_ard_3-0-0_095077_2015-11-06_final
2015-11-06 11:27:24	ga_ls8c_ard_3-0-0_111077_2015-11-06_final
2015-11-18 10:13:15	ga_ls8c_ard_3-0-0_099077_2015-11-18_final
2015-11-18 11:52:08	ga_ls8c_ard_3-0-0_115077_2015-11-18_final
2015-11-19 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-11-18_final
2015-11-19 10:56:31	ga_ls8c_ard_3-0-0_106077_2015-11-19_final
2015-11-20 10:00:54	ga_ls8c_ard_3-0-0_097077_2015-11-20_final
2015-11-20 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-11-20_final
2015-11-21 10:44:10	ga_ls8c_ard_3-1-0_104077_2015-11-21_final
2015-11-22 09:48:33	ga_ls8c_ard_3-0-0_095077_2015-11-22_final
2015-11-22 11:27:26	ga_ls8c_ard_3-0-0_111077_2015-11-22_final
2015-11-23 10:31:49	ga_ls8c_ard_3-0-0_102077_2015-11-23_final
2015-11-24 09:36:11	ga_ls8c_ard_3-0-0_093077_2015-11-24_final
2015-11-24 11:15:04	ga_ls8c_ard_3-0-0_109077_2015-11-24_final
2015-11-25 10:19:27	ga_ls8c_ard_3-0-0_100077_2015-11-25_final
2015-11-25 11:57:56	ga_ls8c_ard_3-0-0_116076_2015-11-25_final
2015-11-25 11:58:20	ga_ls8c_ard_3-0-0_116077_2015-11-25_final
2015-11-26 09:23:26	ga_ls8c_ard_3-0-0_091076_2015-11-25_final
2015-11-26 09:23:50	ga_ls8c_ard_3-0-0_091077_2015-11-25_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2015-11-27 10:06:42	ga_ls8c_ard_3-0-0_098076_2015-11-27_final
2015-11-27 10:07:05	ga_ls8c_ard_3-0-0_098077_2015-11-27_final
2015-11-27 11:45:59	ga_ls8c_ard_3-0-0_114077_2015-11-27_final
2015-11-28 09:11:28	ga_ls8c_ard_3-0-0_089077_2015-11-27_final
2015-11-28 10:50:21	ga_ls8c_ard_3-0-0_105077_2015-11-28_final
2015-11-29 09:54:44	ga_ls8c_ard_3-0-0_096077_2015-11-29_final
2015-11-29 11:33:37	ga_ls8c_ard_3-0-0_112077_2015-11-29_final
2019-09-16 09:36:19	ga_ls8c_ard_3-1-0_093077_2019-09-16_final
2019-09-16 11:15:12	ga_ls8c_ard_3-1-0_109077_2019-09-16_final
2019-09-17 10:19:11	ga_ls8c_ard_3-1-0_100076_2019-09-17_final
2019-09-17 10:19:35	ga_ls8c_ard_3-1-0_100077_2019-09-17_final
2019-09-17 11:58:04	ga_ls8c_ard_3-1-0_116076_2019-09-17_final
2019-09-17 11:58:28	ga_ls8c_ard_3-1-0_116077_2019-09-17_final
2019-09-18 09:23:58	ga_ls8c_ard_3-1-0_091077_2019-09-17_final
2019-09-18 11:02:51	ga_ls8c_ard_3-1-0_107077_2019-09-18_final
2019-10-14 10:01:09	ga_ls8c_ard_3-1-0_097077_2019-10-14_final
2019-10-14 11:40:02	ga_ls8c_ard_3-1-0_113077_2019-10-14_final
2019-10-15 10:44:25	ga_ls8c_ard_3-1-0_104077_2019-10-15_final
2019-10-16 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-10-16_final
2019-10-16 11:27:40	ga_ls8c_ard_3-1-0_111077_2019-10-16_final
2019-12-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2019-12-01_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_final
2019-12-02 10:44:20	ga_ls8c_ard_3-1-0_104077_2019-12-02_final
2019-12-03 09:48:43	ga_ls8c_ard_3-1-0_095077_2019-12-03_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