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
2013-12-22 11:05:13	ga_ls8c_ard_3-0-0_107080_2013-12-22_final
2013-12-23 10:09:35	ga_ls8c_ard_3-0-0_098080_2013-12-23_final
2013-12-23 11:48:29	ga_ls8c_ard_3-0-0_114080_2013-12-23_final
2013-12-24 09:13:58	ga_ls8c_ard_3-0-0_089080_2013-12-23_final
2013-12-24 10:52:51	ga_ls8c_ard_3-0-0_105080_2013-12-24_final
2013-12-26 10:40:29	ga_ls8c_ard_3-0-0_103080_2013-12-26_final
2013-12-27 09:44:51	ga_ls8c_ard_3-0-0_094080_2013-12-27_final
2013-12-27 11:23:44	ga_ls8c_ard_3-0-0_110080_2013-12-27_final
2013-12-28 10:28:06	ga_ls8c_ard_3-0-0_101080_2013-12-28_final
2014-04-21 10:14:13	ga_ls8c_ard_3-0-0_099080_2014-04-21_final
2014-04-22 09:18:35	ga_ls8c_ard_3-0-0_090080_2014-04-21_final
2014-04-22 10:57:28	ga_ls8c_ard_3-0-0_106080_2014-04-22_final
2015-02-25 09:37:02	ga_ls8c_ard_3-0-0_093080_2015-02-25_final
2015-02-25 11:15:55	ga_ls8c_ard_3-0-0_109080_2015-02-25_final
2015-02-26 10:20:17	ga_ls8c_ard_3-0-0_100080_2015-02-26_final
2015-02-27 09:24:40	ga_ls8c_ard_3-0-0_091080_2015-02-26_final
2015-02-27 11:03:33	ga_ls8c_ard_3-0-0_107080_2015-02-27_final
2015-05-09 09:30:08	ga_ls8c_ard_3-0-0_092080_2015-05-09_final
2015-05-09 11:09:01	ga_ls8c_ard_3-0-0_108080_2015-05-09_final
2015-05-10 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-10_final
2015-05-10 11:52:16	ga_ls8c_ard_3-0-0_115080_2015-05-10_final
2015-05-11 09:17:45	ga_ls8c_ard_3-0-0_090080_2015-05-10_final
2015-05-11 10:56:38	ga_ls8c_ard_3-0-0_106080_2015-05-11_final
2015-06-01 09:36:21	ga_ls8c_ard_3-0-0_093080_2015-06-01_final
2015-06-01 11:15:14	ga_ls8c_ard_3-0-0_109080_2015-06-01_final
2015-06-02 10:19:14	ga_ls8c_ard_3-0-0_100079_2015-06-02_final
2015-06-02 10:19:38	ga_ls8c_ard_3-0-0_100080_2015-06-02_final
2015-06-03 09:24:01	ga_ls8c_ard_3-0-0_091080_2015-06-02_final
2015-06-03 11:02:54	ga_ls8c_ard_3-0-0_107080_2015-06-03_final
2015-06-19 09:24:11	ga_ls8c_ard_3-0-0_091080_2015-06-18_final
2015-06-19 11:03:04	ga_ls8c_ard_3-0-0_107080_2015-06-19_final
2016-07-30 09:31:04	ga_ls8c_ard_3-0-0_092080_2016-07-30_final
2016-07-30 11:09:57	ga_ls8c_ard_3-0-0_108080_2016-07-30_final
2016-07-31 10:14:20	ga_ls8c_ard_3-0-0_099080_2016-07-31_final
2016-07-31 11:53:13	ga_ls8c_ard_3-0-0_115080_2016-07-31_final
2016-08-01 09:18:43	ga_ls8c_ard_3-0-0_090080_2016-07-31_final
2016-08-01 10:57:36	ga_ls8c_ard_3-0-0_106080_2016-08-01_final
2016-08-08 09:24:54	ga_ls8c_ard_3-0-0_091080_2016-08-07_final
2016-08-08 11:03:47	ga_ls8c_ard_3-0-0_107080_2016-08-08_final
2016-09-07 09:37:27	ga_ls8c_ard_3-0-0_093080_2016-09-07_final
2016-09-08 10:20:43	ga_ls8c_ard_3-0-0_100080_2016-09-08_final
2016-09-09 09:25:06	ga_ls8c_ard_3-0-0_091080_2016-09-08_final
2016-09-09 11:03:59	ga_ls8c_ard_3-0-0_107080_2016-09-09_final
2016-09-29 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-29_final
2016-09-30 09:43:39	ga_ls8c_ard_3-0-0_094080_2016-09-30_final
2016-09-30 11:22:32	ga_ls8c_ard_3-0-0_110080_2016-09-30_final
2016-10-01 10:26:55	ga_ls8c_ard_3-0-0_101080_2016-10-01_final
2016-10-02 09:31:18	ga_ls8c_ard_3-0-0_092080_2016-10-02_final
2016-10-02 11:10:11	ga_ls8c_ard_3-0-0_108080_2016-10-02_final
2016-10-09 09:37:32	ga_ls8c_ard_3-0-0_093080_2016-10-09_final
2016-10-09 11:16:25	ga_ls8c_ard_3-0-0_109080_2016-10-09_final
2016-10-10 10:20:48	ga_ls8c_ard_3-0-0_100080_2016-10-10_final
2016-10-11 09:25:11	ga_ls8c_ard_3-0-0_091080_2016-10-10_final
2016-10-11 11:04:04	ga_ls8c_ard_3-0-0_107080_2016-10-11_final
2016-10-12 10:08:27	ga_ls8c_ard_3-0-0_098080_2016-10-12_final
2016-10-12 11:47:20	ga_ls8c_ard_3-0-0_114080_2016-10-12_final
2016-10-13 09:12:50	ga_ls8c_ard_3-0-0_089080_2016-10-12_final
2016-10-13 10:51:43	ga_ls8c_ard_3-0-0_105080_2016-10-13_final
2016-10-14 09:56:06	ga_ls8c_ard_3-0-0_096080_2016-10-14_final
2016-10-14 11:34:59	ga_ls8c_ard_3-0-0_112080_2016-10-14_final
2019-07-11 09:05:52	ga_ls8c_ard_3-1-0_088079_2019-07-10_final
2019-07-11 09:06:16	ga_ls8c_ard_3-1-0_088080_2019-07-10_final
2019-07-11 10:45:09	ga_ls8c_ard_3-1-0_104080_2019-07-11_final
2019-07-12 09:49:08	ga_ls8c_ard_3-1-0_095079_2019-07-12_final
2019-07-12 09:49:32	ga_ls8c_ard_3-1-0_095080_2019-07-12_final
2019-07-12 11:28:25	ga_ls8c_ard_3-1-0_111080_2019-07-12_final
2019-07-13 10:32:48	ga_ls8c_ard_3-1-0_102080_2019-07-13_final
2019-07-14 09:37:11	ga_ls8c_ard_3-1-0_093080_2019-07-14_final
2019-07-14 11:16:04	ga_ls8c_ard_3-1-0_109080_2019-07-14_final
2019-07-15 10:20:26	ga_ls8c_ard_3-1-0_100080_2019-07-15_final
2019-07-16 09:24:49	ga_ls8c_ard_3-1-0_091080_2019-07-15_final
2019-07-16 11:03:42	ga_ls8c_ard_3-1-0_107080_2019-07-16_final
2019-08-17 09:25:01	ga_ls8c_ard_3-1-0_091080_2019-08-16_final
2019-08-17 11:03:54	ga_ls8c_ard_3-1-0_107080_2019-08-17_final
2019-08-18 10:08:17	ga_ls8c_ard_3-1-0_098080_2019-08-18_final
2019-08-18 11:47:10	ga_ls8c_ard_3-1-0_114080_2019-08-18_final
2019-08-19 09:12:40	ga_ls8c_ard_3-1-0_089080_2019-08-18_final
2019-08-19 10:51:33	ga_ls8c_ard_3-1-0_105080_2019-08-19_final
2019-08-20 09:55:56	ga_ls8c_ard_3-1-0_096080_2019-08-20_final
2019-08-20 11:34:49	ga_ls8c_ard_3-1-0_112080_2019-08-20_final
2019-08-28 09:06:31	ga_ls8c_ard_3-1-0_088080_2019-08-27_final
2019-08-28 10:45:24	ga_ls8c_ard_3-1-0_104080_2019-08-28_final
2019-08-29 09:49:47	ga_ls8c_ard_3-1-0_095080_2019-08-29_final
2019-08-29 11:28:40	ga_ls8c_ard_3-1-0_111080_2019-08-29_final
2019-08-30 10:33:03	ga_ls8c_ard_3-1-0_102080_2019-08-30_final
2019-09-06 10:39:15	ga_ls8c_ard_3-1-0_103080_2019-09-06_final
2019-09-07 09:43:38	ga_ls8c_ard_3-1-0_094080_2019-09-07_final
2019-09-07 11:22:31	ga_ls8c_ard_3-1-0_110080_2019-09-07_final
2019-09-08 10:26:54	ga_ls8c_ard_3-1-0_101080_2019-09-08_final
2019-10-20 09:25:16	ga_ls8c_ard_3-1-0_091080_2019-10-19_final
2019-10-20 11:04:09	ga_ls8c_ard_3-1-0_107080_2019-10-20_final
2019-10-21 10:08:32	ga_ls8c_ard_3-1-0_098080_2019-10-21_final
2019-10-21 11:47:25	ga_ls8c_ard_3-1-0_114080_2019-10-21_final
2019-10-22 09:12:55	ga_ls8c_ard_3-1-0_089080_2019-10-21_final
2019-10-22 10:51:48	ga_ls8c_ard_3-1-0_105080_2019-10-22_final
2019-10-23 09:56:10	ga_ls8c_ard_3-1-0_096080_2019-10-23_final
2019-10-23 11:35:03	ga_ls8c_ard_3-1-0_112080_2019-10-23_final
2019-10-24 10:39:26	ga_ls8c_ard_3-1-0_103080_2019-10-24_final
2019-10-25 09:43:49	ga_ls8c_ard_3-1-0_094080_2019-10-25_final
2019-10-25 11:22:42	ga_ls8c_ard_3-1-0_110080_2019-10-25_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