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
2013-11-18 09:38:30	ga_ls8c_ard_3-0-0_093079_2013-11-18_final
2013-11-18 11:17:23	ga_ls8c_ard_3-0-0_109079_2013-11-18_final
2013-11-19 10:21:45	ga_ls8c_ard_3-0-0_100079_2013-11-19_final
2013-11-19 10:22:09	ga_ls8c_ard_3-0-0_100080_2013-11-19_final
2013-11-20 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-11-19_final
2013-11-20 11:04:59	ga_ls8c_ard_3-0-0_107079_2013-11-20_final
2013-11-21 10:09:21	ga_ls8c_ard_3-0-0_098079_2013-11-21_final
2013-11-21 11:48:14	ga_ls8c_ard_3-0-0_114079_2013-11-21_final
2013-11-21 11:48:38	ga_ls8c_ard_3-0-0_114080_2013-11-21_final
2013-11-22 09:13:42	ga_ls8c_ard_3-0-0_089079_2013-11-21_final
2013-11-22 10:52:35	ga_ls8c_ard_3-0-0_105079_2013-11-22_final
2013-11-22 10:52:59	ga_ls8c_ard_3-0-0_105080_2013-11-22_final
2013-11-23 09:56:58	ga_ls8c_ard_3-0-0_096079_2013-11-23_final
2013-11-23 09:57:22	ga_ls8c_ard_3-0-0_096080_2013-11-23_final
2013-11-23 11:35:51	ga_ls8c_ard_3-0-0_112079_2013-11-23_final
2013-11-24 10:40:14	ga_ls8c_ard_3-0-0_103079_2013-11-24_final
2013-11-25 09:44:37	ga_ls8c_ard_3-0-0_094079_2013-11-25_final
2013-11-25 11:23:30	ga_ls8c_ard_3-0-0_110079_2013-11-25_final
2013-11-25 11:23:54	ga_ls8c_ard_3-0-0_110080_2013-11-25_final
2013-11-26 10:27:53	ga_ls8c_ard_3-0-0_101079_2013-11-26_final
2016-05-23 09:54:59	ga_ls8c_ard_3-0-0_096079_2016-05-23_final
2016-05-23 09:55:23	ga_ls8c_ard_3-0-0_096080_2016-05-23_final
2016-05-23 11:33:52	ga_ls8c_ard_3-0-0_112079_2016-05-23_final
2016-05-23 11:34:16	ga_ls8c_ard_3-0-0_112080_2016-05-23_final
2016-05-24 10:38:15	ga_ls8c_ard_3-1-0_103079_2016-05-24_final
2016-05-24 10:38:39	ga_ls8c_ard_3-0-0_103080_2016-05-24_final
2016-06-12 09:30:21	ga_ls8c_ard_3-0-0_092079_2016-06-12_final
2016-06-12 09:30:45	ga_ls8c_ard_3-0-0_092080_2016-06-12_final
2016-06-12 11:09:14	ga_ls8c_ard_3-0-0_108079_2016-06-12_final
2016-06-12 11:09:38	ga_ls8c_ard_3-0-0_108080_2016-06-12_final
2016-08-02 10:01:35	ga_ls8c_ard_3-0-0_097079_2016-08-02_final
2016-08-02 10:01:59	ga_ls8c_ard_3-0-0_097080_2016-08-02_final
2016-08-02 11:40:28	ga_ls8c_ard_3-0-0_113079_2016-08-02_final
2016-08-02 11:40:52	ga_ls8c_ard_3-0-0_113080_2016-08-02_final
2016-08-03 09:05:57	ga_ls8c_ard_3-0-0_088079_2016-08-02_final
2016-08-03 09:06:21	ga_ls8c_ard_3-0-0_088080_2016-08-02_final
2016-08-03 10:44:50	ga_ls8c_ard_3-0-0_104079_2016-08-03_final
2016-08-03 10:45:14	ga_ls8c_ard_3-0-0_104080_2016-08-03_final
2016-08-04 09:49:13	ga_ls8c_ard_3-0-0_095079_2016-08-04_final
2016-08-04 09:49:37	ga_ls8c_ard_3-0-0_095080_2016-08-04_final
2016-08-04 11:28:06	ga_ls8c_ard_3-0-0_111079_2016-08-04_final
2016-08-04 11:28:30	ga_ls8c_ard_3-0-0_111080_2016-08-04_final
2016-08-05 10:32:29	ga_ls8c_ard_3-0-0_102079_2016-08-05_final
2016-08-05 10:32:53	ga_ls8c_ard_3-0-0_102080_2016-08-05_final
2016-08-31 09:30:50	ga_ls8c_ard_3-0-0_092079_2016-08-31_final
2016-08-31 09:31:14	ga_ls8c_ard_3-0-0_092080_2016-08-31_final
2016-08-31 11:09:43	ga_ls8c_ard_3-0-0_108079_2016-08-31_final
2016-12-03 09:43:20	ga_ls8c_ard_3-0-0_094079_2016-12-03_final
2016-12-03 09:43:44	ga_ls8c_ard_3-0-0_094080_2016-12-03_final
2016-12-03 11:22:14	ga_ls8c_ard_3-0-0_110079_2016-12-03_final
2016-12-04 10:26:36	ga_ls8c_ard_3-0-0_101079_2016-12-04_final
2016-12-05 09:30:58	ga_ls8c_ard_3-0-0_092079_2016-12-05_final
2016-12-05 09:31:22	ga_ls8c_ard_3-0-0_092080_2016-12-05_final
2016-12-05 11:09:51	ga_ls8c_ard_3-0-0_108079_2016-12-05_final
2016-12-05 11:10:15	ga_ls8c_ard_3-0-0_108080_2016-12-05_final
2016-12-06 10:14:14	ga_ls8c_ard_3-0-0_099079_2016-12-06_final
2016-12-06 10:14:38	ga_ls8c_ard_3-0-0_099080_2016-12-06_final
2016-12-06 11:53:07	ga_ls8c_ard_3-0-0_115079_2016-12-06_final
2016-12-06 11:53:31	ga_ls8c_ard_3-0-0_115080_2016-12-06_final
2016-12-07 09:18:36	ga_ls8c_ard_3-0-0_090079_2016-12-06_final
2016-12-07 10:57:29	ga_ls8c_ard_3-0-0_106079_2016-12-07_final
2016-12-07 10:57:53	ga_ls8c_ard_3-0-0_106080_2016-12-07_final
2017-01-05 10:26:29	ga_ls8c_ard_3-0-0_101079_2017-01-05_final
2017-01-05 10:26:53	ga_ls8c_ard_3-0-0_101080_2017-01-05_final
2017-01-06 09:30:51	ga_ls8c_ard_3-0-0_092079_2017-01-06_final
2017-01-06 09:31:15	ga_ls8c_ard_3-0-0_092080_2017-01-06_final
2017-01-06 11:09:44	ga_ls8c_ard_3-0-0_108079_2017-01-06_final
2017-01-06 11:10:08	ga_ls8c_ard_3-0-0_108080_2017-01-06_final
2017-01-07 10:14:07	ga_ls8c_ard_3-0-0_099079_2017-01-07_final
2017-01-07 10:14:31	ga_ls8c_ard_3-0-0_099080_2017-01-07_final
2017-01-07 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-01-07_final
2017-01-07 11:53:24	ga_ls8c_ard_3-0-0_115080_2017-01-07_final
2017-01-08 09:18:29	ga_ls8c_ard_3-0-0_090079_2017-01-07_final
2017-01-08 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-01-08_final
2017-01-09 10:01:45	ga_ls8c_ard_3-0-0_097079_2017-01-09_final
2017-01-09 10:02:09	ga_ls8c_ard_3-0-0_097080_2017-01-09_final
2017-01-09 11:40:38	ga_ls8c_ard_3-0-0_113079_2017-01-09_final
2017-02-05 09:43:01	ga_ls8c_ard_3-0-0_094079_2017-02-05_final
2017-02-05 09:43:25	ga_ls8c_ard_3-0-0_094080_2017-02-05_final
2017-02-05 11:21:54	ga_ls8c_ard_3-0-0_110079_2017-02-05_final
2017-02-06 10:26:16	ga_ls8c_ard_3-0-0_101079_2017-02-06_final
2017-02-06 10:26:40	ga_ls8c_ard_3-0-0_101080_2017-02-06_final
2017-02-07 09:30:38	ga_ls8c_ard_3-0-0_092079_2017-02-07_final
2017-02-07 11:09:31	ga_ls8c_ard_3-0-0_108079_2017-02-07_final
2017-02-08 10:13:54	ga_ls8c_ard_3-0-0_099079_2017-02-08_final
2017-02-08 10:14:18	ga_ls8c_ard_3-0-0_099080_2017-02-08_final
2017-02-08 11:52:47	ga_ls8c_ard_3-0-0_115079_2017-02-08_final
2017-02-09 09:18:16	ga_ls8c_ard_3-0-0_090079_2017-02-08_final
2017-02-09 10:57:09	ga_ls8c_ard_3-0-0_106079_2017-02-09_final
2017-03-12 10:13:40	ga_ls8c_ard_3-0-0_099079_2017-03-12_final
2017-03-12 10:14:04	ga_ls8c_ard_3-0-0_099080_2017-03-12_final
2017-03-12 11:52:33	ga_ls8c_ard_3-0-0_115079_2017-03-12_final
2017-03-13 09:18:02	ga_ls8c_ard_3-0-0_090079_2017-03-12_final
2017-03-13 10:56:55	ga_ls8c_ard_3-0-0_106079_2017-03-13_final
2017-03-14 10:01:18	ga_ls8c_ard_3-0-0_097079_2017-03-14_final
2017-03-14 10:01:41	ga_ls8c_ard_3-0-0_097080_2017-03-14_final
2017-03-14 11:40:11	ga_ls8c_ard_3-0-0_113079_2017-03-14_final
2017-03-15 09:05:40	ga_ls8c_ard_3-0-0_088079_2017-03-14_final
2017-03-15 10:44:33	ga_ls8c_ard_3-0-0_104079_2017-03-15_final
2017-03-16 09:48:55	ga_ls8c_ard_3-0-0_095079_2017-03-16_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