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
2013-04-13 11:34:52	ga_ls8c_ard_3-0-0_112076_2013-04-13_final
2013-04-13 11:35:16	ga_ls8c_ard_3-0-0_112077_2013-04-13_final
2013-04-22 09:50:11	ga_ls8c_ard_3-0-0_095077_2013-04-22_final
2013-04-29 11:34:50	ga_ls8c_ard_3-0-0_112076_2013-04-29_final
2013-04-29 11:35:14	ga_ls8c_ard_3-0-0_112077_2013-04-29_final
2013-04-29 11:35:38	ga_ls8c_ard_3-0-0_112078_2013-04-29_final
2013-06-20 11:11:04	ga_ls8c_ard_3-0-0_108078_2013-06-20_final
2013-06-22 10:58:41	ga_ls8c_ard_3-0-0_106078_2013-06-22_final
2013-06-23 11:41:58	ga_ls8c_ard_3-0-0_113078_2013-06-23_final
2013-07-06 11:11:07	ga_ls8c_ard_3-0-0_108078_2013-07-06_final
2013-07-09 11:40:50	ga_ls8c_ard_3-0-0_113075_2013-07-09_final
2013-07-18 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-18_final
2013-07-27 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-27_final
2013-08-03 11:35:04	ga_ls8c_ard_3-0-0_112076_2013-08-03_final
2013-08-03 11:35:52	ga_ls8c_ard_3-0-0_112078_2013-08-03_final
2013-08-03 11:36:16	ga_ls8c_ard_3-0-0_112079_2013-08-03_final
2013-08-12 09:50:24	ga_ls8c_ard_3-0-0_095077_2013-08-12_final
2013-08-19 11:35:53	ga_ls8c_ard_3-0-0_112078_2013-08-19_final
2013-08-23 11:11:35	ga_ls8c_ard_3-0-0_108079_2013-08-23_final
2013-08-28 09:50:27	ga_ls8c_ard_3-0-0_095077_2013-08-28_final
2013-11-11 11:10:28	ga_ls8c_ard_3-0-0_108077_2013-11-11_final
2013-11-27 11:10:21	ga_ls8c_ard_3-0-0_108077_2013-11-27_final
2014-01-30 11:09:50	ga_ls8c_ard_3-0-0_108077_2014-01-30_final
2014-04-09 09:48:30	ga_ls8c_ard_3-0-0_095077_2014-04-09_final
2014-04-09 09:48:54	ga_ls8c_ard_3-0-0_095078_2014-04-09_final
2014-04-11 11:13:24	ga_ls8c_ard_3-0-0_109073_2014-04-11_final
2014-04-13 11:01:23	ga_ls8c_ard_3-0-0_107074_2014-04-13_final
2014-04-15 10:47:47	ga_ls8c_ard_3-0-0_105071_2014-04-15_final
2014-04-16 11:33:48	ga_ls8c_ard_3-0-0_112078_2014-04-16_final
2014-05-27 09:47:32	ga_ls8c_ard_3-0-0_095076_2014-05-27_final
2014-06-01 11:44:38	ga_ls8c_ard_3-0-0_114075_2014-06-01_final
2014-06-19 11:33:11	ga_ls8c_ard_3-0-0_112077_2014-06-19_final
2014-06-25 10:57:41	ga_ls8c_ard_3-0-0_106081_2014-06-25_final
2014-07-09 11:08:59	ga_ls8c_ard_3-0-0_108078_2014-07-09_final
2014-07-14 11:24:45	ga_ls8c_ard_3-0-0_111071_2014-07-14_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-15 11:27:21	ga_ls8c_ard_3-0-0_111077_2014-08-15_final
2014-08-17 11:16:11	ga_ls8c_ard_3-0-0_109080_2014-08-17_final
2014-08-29 11:39:19	ga_ls8c_ard_3-0-0_113076_2014-08-29_final
2014-09-06 10:51:08	ga_ls8c_ard_3-0-0_105079_2014-09-06_final
2014-09-09 11:18:27	ga_ls8c_ard_3-0-0_110070_2014-09-09_final
2014-09-16 09:48:32	ga_ls8c_ard_3-0-0_095077_2014-09-16_final
2014-09-16 09:48:56	ga_ls8c_ard_3-0-0_095078_2014-09-16_final
2014-09-22 10:50:42	ga_ls8c_ard_3-0-0_105078_2014-09-22_final
2014-09-27 11:08:51	ga_ls8c_ard_3-0-0_108077_2014-09-27_final
2014-09-30 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-30_final
2014-10-02 09:48:58	ga_ls8c_ard_3-0-0_095078_2014-10-02_final
2014-10-08 10:50:48	ga_ls8c_ard_3-0-0_105078_2014-10-08_final
2014-10-15 10:56:37	ga_ls8c_ard_3-0-0_106077_2014-10-15_final
2014-10-18 09:49:02	ga_ls8c_ard_3-0-0_095078_2014-10-18_final
2014-11-30 11:08:56	ga_ls8c_ard_3-0-0_108077_2014-11-30_final
2015-02-04 10:57:55	ga_ls8c_ard_3-0-0_106081_2015-02-04_final
2015-03-27 11:26:47	ga_ls8c_ard_3-0-0_111077_2015-03-27_final
2015-04-12 09:47:47	ga_ls8c_ard_3-0-0_095077_2015-04-12_final
2015-04-12 09:48:10	ga_ls8c_ard_3-0-0_095078_2015-04-12_final
2015-04-21 09:41:59	ga_ls8c_ard_3-0-0_094078_2015-04-21_final
2015-05-05 11:32:37	ga_ls8c_ard_3-0-0_112077_2015-05-05_final
2015-05-07 09:41:44	ga_ls8c_ard_3-0-0_094078_2015-05-07_final
2015-05-30 09:48:41	ga_ls8c_ard_3-0-0_095080_2015-05-30_final
2015-06-06 11:31:03	ga_ls8c_ard_3-0-0_112073_2015-06-06_final
2015-07-17 09:47:57	ga_ls8c_ard_3-0-0_095077_2015-07-17_final
2015-08-02 09:48:01	ga_ls8c_ard_3-0-0_095077_2015-08-02_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-08-11 09:42:17	ga_ls8c_ard_3-0-0_094078_2015-08-11_final
2015-08-18 09:48:08	ga_ls8c_ard_3-0-0_095077_2015-08-18_final
2015-08-25 11:33:15	ga_ls8c_ard_3-0-0_112077_2015-08-25_final
2015-09-03 09:48:37	ga_ls8c_ard_3-0-0_095078_2015-09-03_final
2015-09-09 10:52:28	ga_ls8c_ard_3-0-0_105083_2015-09-09_final
2015-09-10 11:33:21	ga_ls8c_ard_3-0-0_112077_2015-09-10_final
2015-09-14 11:09:04	ga_ls8c_ard_3-0-0_108078_2015-09-14_final
2015-09-30 11:09:09	ga_ls8c_ard_3-0-0_108078_2015-09-30_final
2015-10-30 09:42:43	ga_ls8c_ard_3-0-0_094078_2015-10-30_final
2016-05-16 09:47:57	ga_ls8c_ard_3-0-0_095077_2016-05-16_final
2016-05-16 09:48:21	ga_ls8c_ard_3-0-0_095078_2016-05-16_final
2016-07-25 10:52:36	ga_ls8c_ard_3-0-0_105083_2016-07-25_final
2016-07-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2016-07-26_final
2016-08-26 10:52:45	ga_ls8c_ard_3-0-0_105083_2016-08-26_final
2016-08-27 11:32:01	ga_ls8c_ard_3-0-0_112073_2016-08-27_final
2016-08-27 11:33:37	ga_ls8c_ard_3-0-0_112077_2016-08-27_final
2016-09-12 11:33:41	ga_ls8c_ard_3-0-0_112077_2016-09-12_final
2017-06-04 09:48:02	ga_ls8c_ard_3-0-0_095077_2017-06-04_final
2017-06-20 09:48:08	ga_ls8c_ard_3-0-0_095077_2017-06-20_final
2017-07-22 09:48:17	ga_ls8c_ard_3-0-0_095077_2017-07-22_final
2017-07-22 09:48:41	ga_ls8c_ard_3-0-0_095078_2017-07-22_final
2017-08-07 09:48:24	ga_ls8c_ard_3-0-0_095077_2017-08-07_final
2017-08-07 09:48:48	ga_ls8c_ard_3-0-0_095078_2017-08-07_final
2017-08-30 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-08-30_final
2017-09-15 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-09-15_final
2018-05-22 09:47:19	ga_ls8c_ard_3-0-0_095077_2018-05-22_final
2018-05-29 11:32:17	ga_ls8c_ard_3-0-0_112077_2018-05-29_final
2018-06-23 09:47:22	ga_ls8c_ard_3-0-0_095077_2018-06-23_final
2018-07-16 11:32:38	ga_ls8c_ard_3-0-0_112077_2018-07-16_final
2018-08-10 09:47:47	ga_ls8c_ard_3-0-0_095077_2018-08-10_final
2018-09-18 11:33:06	ga_ls8c_ard_3-0-0_112077_2018-09-18_final
2019-03-17 11:08:20	ga_ls8c_ard_3-1-0_108077_2019-03-17_final
2019-04-30 11:32:53	ga_ls8c_ard_3-0-0_112077_2019-04-30_final
2020-05-08 10:58:10	ga_ls8c_ard_3-1-0_106083_2020-05-08_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2022-12-18 09:54:38	ga_ls8c_ard_3-2-1_096076_2022-12-18_final
2022-12-22 09:32:14	ga_ls8c_ard_3-2-1_092082_2022-12-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years