Search ga_ls7e_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
2004-09-20 10:23:16	ga_ls7e_ard_3-0-0_103069_2004-09-20_final
2004-09-20 10:23:40	ga_ls7e_ard_3-0-0_103070_2004-09-20_final
2004-09-21 11:06:56	ga_ls7e_ard_3-0-0_110070_2004-09-21_final
2005-01-16 09:46:58	ga_ls7e_ard_3-0-0_097069_2005-01-16_final
2005-01-16 09:47:22	ga_ls7e_ard_3-0-0_097070_2005-01-16_final
2005-01-19 10:17:52	ga_ls7e_ard_3-0-0_102069_2005-01-19_final
2005-01-19 10:18:16	ga_ls7e_ard_3-0-0_102070_2005-01-19_final
2005-01-20 11:01:32	ga_ls7e_ard_3-0-0_109070_2005-01-20_final
2006-03-28 11:02:13	ga_ls7e_ard_3-0-0_109070_2006-03-28_final
2006-03-30 10:49:51	ga_ls7e_ard_3-0-0_107070_2006-03-30_final
2006-03-31 09:53:49	ga_ls7e_ard_3-0-0_098069_2006-03-31_final
2006-03-31 09:54:13	ga_ls7e_ard_3-0-0_098070_2006-03-31_final
2006-05-25 10:00:00	ga_ls7e_ard_3-0-0_099069_2006-05-25_final
2006-05-25 10:00:23	ga_ls7e_ard_3-0-0_099070_2006-05-25_final
2006-05-26 10:43:15	ga_ls7e_ard_3-0-0_106069_2006-05-26_final
2006-05-26 10:43:39	ga_ls7e_ard_3-0-0_106070_2006-05-26_final
2006-05-27 09:47:38	ga_ls7e_ard_3-0-0_097069_2006-05-27_final
2006-05-27 09:48:02	ga_ls7e_ard_3-0-0_097070_2006-05-27_final
2006-05-28 10:30:53	ga_ls7e_ard_3-0-0_104069_2006-05-28_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2012-12-22 10:36:58	ga_ls7e_ard_3-0-0_104069_2012-12-22_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2012-12-24 10:24:37	ga_ls7e_ard_3-0-0_102069_2012-12-24_final
2012-12-25 11:08:17	ga_ls7e_ard_3-0-0_109070_2012-12-25_final
2012-12-27 10:55:55	ga_ls7e_ard_3-0-0_107070_2012-12-27_final
2013-03-02 09:59:53	ga_ls7e_ard_3-0-0_098069_2013-03-02_final
2013-03-03 10:43:09	ga_ls7e_ard_3-0-0_105069_2013-03-03_final
2013-03-17 10:55:53	ga_ls7e_ard_3-0-0_107070_2013-03-17_final
2013-03-18 09:59:52	ga_ls7e_ard_3-0-0_098069_2013-03-18_final
2013-03-18 10:00:15	ga_ls7e_ard_3-0-0_098070_2013-03-18_final
2013-03-19 10:43:07	ga_ls7e_ard_3-0-0_105069_2013-03-19_final
2013-03-21 10:30:44	ga_ls7e_ard_3-0-0_103069_2013-03-21_final
2013-03-21 10:31:08	ga_ls7e_ard_3-0-0_103070_2013-03-21_final
2013-03-22 11:14:23	ga_ls7e_ard_3-0-0_110070_2013-03-22_final
2013-05-12 10:05:48	ga_ls7e_ard_3-0-0_099069_2013-05-12_final
2013-05-13 10:49:04	ga_ls7e_ard_3-0-0_106069_2013-05-13_final
2013-05-13 10:49:28	ga_ls7e_ard_3-0-0_106070_2013-05-13_final
2013-05-14 09:53:50	ga_ls7e_ard_3-0-0_097070_2013-05-14_final
2013-05-15 10:36:42	ga_ls7e_ard_3-0-0_104069_2013-05-15_final
2013-06-23 10:42:37	ga_ls7e_ard_3-0-0_105069_2013-06-23_final
2013-06-23 10:43:01	ga_ls7e_ard_3-0-0_105070_2013-06-23_final
2013-06-24 09:47:23	ga_ls7e_ard_3-0-0_096070_2013-06-24_final
2013-06-25 10:30:15	ga_ls7e_ard_3-0-0_103069_2013-06-25_final
2013-06-25 10:30:38	ga_ls7e_ard_3-0-0_103070_2013-06-25_final
2013-07-09 10:42:25	ga_ls7e_ard_3-0-0_105069_2013-07-09_final
2013-07-10 09:47:11	ga_ls7e_ard_3-0-0_096070_2013-07-10_final
2013-07-11 10:30:03	ga_ls7e_ard_3-0-0_103069_2013-07-11_final
2013-07-23 10:55:06	ga_ls7e_ard_3-0-0_107070_2013-07-23_final
2013-07-24 09:59:04	ga_ls7e_ard_3-0-0_098069_2013-07-24_final
2013-07-24 09:59:28	ga_ls7e_ard_3-0-0_098070_2013-07-24_final
2015-09-10 10:40:44	ga_ls7e_ard_3-0-0_104069_2015-09-10_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-09-12 10:28:23	ga_ls7e_ard_3-0-0_102069_2015-09-12_final
2015-09-12 10:28:47	ga_ls7e_ard_3-0-0_102070_2015-09-12_final
2015-09-13 11:12:03	ga_ls7e_ard_3-0-0_109070_2015-09-13_final
2015-09-24 10:53:09	ga_ls7e_ard_3-0-0_106069_2015-09-24_final
2015-09-25 09:57:32	ga_ls7e_ard_3-0-0_097069_2015-09-25_final
2015-09-25 09:57:56	ga_ls7e_ard_3-0-0_097070_2015-09-25_final
2015-09-26 10:40:48	ga_ls7e_ard_3-0-0_104069_2015-09-26_final
2015-09-26 10:41:12	ga_ls7e_ard_3-1-0_104070_2015-09-26_final
2015-09-28 10:28:26	ga_ls7e_ard_3-0-0_102069_2015-09-28_final
2015-10-12 10:40:58	ga_ls7e_ard_3-0-0_104069_2015-10-12_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-10-14 10:28:39	ga_ls7e_ard_3-0-0_102069_2015-10-14_final
2015-10-14 10:29:03	ga_ls7e_ard_3-0-0_102070_2015-10-14_final
2015-10-15 11:12:20	ga_ls7e_ard_3-0-0_109070_2015-10-15_final
2016-03-14 11:20:24	ga_ls7e_ard_3-0-0_110070_2016-03-14_final
2016-03-16 11:07:39	ga_ls7e_ard_3-0-0_108069_2016-03-16_final
2016-03-16 11:08:03	ga_ls7e_ard_3-0-0_108070_2016-03-16_final
2016-03-18 10:55:18	ga_ls7e_ard_3-0-0_106069_2016-03-18_final
2016-03-18 10:55:42	ga_ls7e_ard_3-0-0_106070_2016-03-18_final
2016-03-19 10:00:05	ga_ls7e_ard_3-0-0_097070_2016-03-19_final
2016-03-20 10:42:57	ga_ls7e_ard_3-0-0_104069_2016-03-20_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2016-03-22 10:30:36	ga_ls7e_ard_3-0-0_102069_2016-03-22_final
2016-03-22 10:31:00	ga_ls7e_ard_3-0-0_102070_2016-03-22_final
2016-03-23 11:14:16	ga_ls7e_ard_3-0-0_109070_2016-03-23_final
2017-12-01 10:12:25	ga_ls7e_ard_3-0-0_099069_2017-12-01_final
2017-12-02 10:55:40	ga_ls7e_ard_3-0-0_106069_2017-12-02_final
2017-12-03 10:00:03	ga_ls7e_ard_3-0-0_097069_2017-12-03_final
2017-12-03 10:00:27	ga_ls7e_ard_3-0-0_097070_2017-12-03_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-04 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-12-04_final
2017-12-06 10:30:55	ga_ls7e_ard_3-0-0_102069_2017-12-06_final
2017-12-07 11:14:34	ga_ls7e_ard_3-0-0_109070_2017-12-07_final
2018-02-15 10:36:10	ga_ls7e_ard_3-0-0_103069_2018-02-15_final
2018-02-19 10:11:24	ga_ls7e_ard_3-0-0_099069_2018-02-19_final
2018-02-21 09:59:02	ga_ls7e_ard_3-0-0_097069_2018-02-21_final
2018-02-21 09:59:25	ga_ls7e_ard_3-0-0_097070_2018-02-21_final
2018-02-22 10:42:17	ga_ls7e_ard_3-0-0_104069_2018-02-22_final
2018-02-22 10:42:41	ga_ls7e_ard_3-1-0_104070_2018-02-22_final
2018-02-24 10:29:54	ga_ls7e_ard_3-0-0_102069_2018-02-24_final
2018-02-24 10:30:18	ga_ls7e_ard_3-0-0_102070_2018-02-24_final
2018-02-25 11:13:33	ga_ls7e_ard_3-0-0_109070_2018-02-25_final
2018-05-26 10:09:59	ga_ls7e_ard_3-0-0_099069_2018-05-26_final
2018-05-27 10:53:14	ga_ls7e_ard_3-0-0_106069_2018-05-27_final
2018-05-27 10:53:38	ga_ls7e_ard_3-0-0_106070_2018-05-27_final
2018-05-28 09:57:35	ga_ls7e_ard_3-0-0_097069_2018-05-28_final
2018-05-29 10:40:50	ga_ls7e_ard_3-0-0_104069_2018-05-29_final
2018-05-31 10:28:26	ga_ls7e_ard_3-0-0_102069_2018-05-31_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years