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
2000-08-29 09:11:37	ga_ls7e_ard_3-1-0_090085_2000-08-28_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2001-12-05 11:40:28	ga_ls7e_ard_3-1-0_115077_2001-12-05_final
2002-02-26 10:30:10	ga_ls7e_ard_3-1-0_104070_2002-02-26_final
2002-05-25 11:24:55	ga_ls7e_ard_3-1-0_112084_2002-05-25_final
2002-11-01 09:45:59	ga_ls7e_ard_3-1-0_096086_2002-11-01_final
2003-10-27 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-10-27_final
2003-11-13 11:17:49	ga_ls7e_ard_3-1-0_111082_2003-11-13_final
2004-04-12 11:25:27	ga_ls7e_ard_3-1-0_112084_2004-04-12_final
2005-05-16 09:02:32	ga_ls7e_ard_3-1-0_089081_2005-05-15_final
2005-06-09 09:49:51	ga_ls7e_ard_3-1-0_097076_2005-06-09_final
2006-06-14 11:19:17	ga_ls7e_ard_3-1-0_111082_2006-06-14_final
2007-01-14 09:03:08	ga_ls7e_ard_3-1-0_089081_2007-01-13_final
2007-03-10 09:11:12	ga_ls7e_ard_3-1-0_090085_2007-03-09_final
2008-04-26 10:14:46	ga_ls7e_ard_3-1-0_101075_2008-04-26_final
2008-07-30 09:33:52	ga_ls7e_ard_3-1-0_094083_2008-07-30_final
2009-02-07 09:34:26	ga_ls7e_ard_3-1-0_094083_2009-02-07_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-09-26 11:19:25	ga_ls7e_ard_3-1-0_111082_2009-09-26_final
2009-11-25 11:42:44	ga_ls7e_ard_3-1-0_115077_2009-11-25_final
2010-03-16 11:00:05	ga_ls7e_ard_3-1-0_108075_2010-03-16_final
2010-03-20 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-03-20_final
2010-04-28 09:05:06	ga_ls7e_ard_3-1-0_089081_2010-04-27_final
2010-05-07 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-05-07_final
2010-08-17 10:00:22	ga_ls7e_ard_3-1-0_098080_2010-08-17_final
2011-05-07 11:45:37	ga_ls7e_ard_3-1-0_115077_2011-05-07_final
2011-12-17 11:45:50	ga_ls7e_ard_3-1-0_115077_2011-12-17_final
2012-12-09 11:12:32	ga_ls7e_ard_3-1-0_109081_2012-12-09_final
2013-04-10 11:48:02	ga_ls7e_ard_3-1-0_115077_2013-04-10_final
2013-06-23 09:08:32	ga_ls7e_ard_3-1-0_089081_2013-06-22_final
2013-07-30 11:01:36	ga_ls7e_ard_3-1-0_108071_2013-07-30_final
2014-04-27 10:21:53	ga_ls7e_ard_3-1-0_101075_2014-04-27_final
2014-10-08 09:58:18	ga_ls7e_ard_3-1-0_097076_2014-10-08_final
2014-12-06 09:36:37	ga_ls7e_ard_3-1-0_094067_2014-12-06_final
2015-02-17 11:15:14	ga_ls7e_ard_3-1-0_109081_2015-02-17_final
2015-05-09 10:20:16	ga_ls7e_ard_3-1-0_100081_2015-05-09_final
2015-12-16 11:30:28	ga_ls7e_ard_3-1-0_111082_2015-12-16_final
2016-01-26 09:46:22	ga_ls7e_ard_3-1-0_094083_2016-01-26_final
2016-08-12 11:31:54	ga_ls7e_ard_3-1-0_111082_2016-08-12_final
2016-09-15 09:42:44	ga_ls7e_ard_3-1-0_093087_2016-09-15_final
2016-11-18 11:19:03	ga_ls7e_ard_3-1-0_109081_2016-11-18_final
2017-02-22 11:18:32	ga_ls7e_ard_3-1-0_109081_2017-02-22_final
2017-06-12 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-06-12_final
2018-03-05 10:26:01	ga_ls7e_ard_3-1-0_101075_2018-03-05_final
2018-08-18 11:27:47	ga_ls7e_ard_3-1-0_111082_2018-08-18_final
2018-11-08 11:13:12	ga_ls7e_ard_3-1-0_109081_2018-11-08_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-20 10:20:22	ga_ls7e_ard_3-1-0_101080_2019-02-20_final
2019-03-09 10:59:30	ga_ls7e_ard_3-1-0_108071_2019-03-09_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-23 11:13:47	ga_ls7e_ard_3-1-0_110077_2019-03-23_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-06-28 10:13:49	ga_ls7e_ard_3-1-0_101075_2019-06-28_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-11 09:51:48	ga_ls7e_ard_3-1-0_098074_2019-09-11_final
2019-09-19 10:42:05	ga_ls7e_ard_3-1-0_106077_2019-09-19_final
2019-09-20 11:26:06	ga_ls7e_ard_3-1-0_113079_2019-09-20_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-28 08:59:26	ga_ls7e_ard_3-1-0_089084_2019-09-27_final
2019-09-30 10:22:17	ga_ls7e_ard_3-1-0_103075_2019-09-30_final
2019-10-01 11:08:17	ga_ls7e_ard_3-1-0_110082_2019-10-01_final
2019-10-08 11:14:11	ga_ls7e_ard_3-1-0_111082_2019-10-08_final
2019-10-13 09:50:50	ga_ls7e_ard_3-1-0_098075_2019-10-13_final
2019-10-26 09:20:59	ga_ls7e_ard_3-1-0_093079_2019-10-25_final
2019-11-01 10:22:31	ga_ls7e_ard_3-1-0_103079_2019-11-01_final
2019-11-04 09:13:12	ga_ls7e_ard_3-1-0_092076_2019-11-03_final
2019-11-04 09:14:48	ga_ls7e_ard_3-1-0_092080_2019-11-03_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_final
2019-11-16 09:33:47	ga_ls7e_ard_3-1-0_096067_2019-11-16_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-18 09:28:31	ga_ls7e_ard_3-1-0_094085_2019-11-17_final
2019-12-02 11:16:41	ga_ls7e_ard_3-1-0_112079_2019-12-02_final
2019-12-04 09:26:56	ga_ls7e_ard_3-1-0_094083_2019-12-03_final
2019-12-09 09:41:15	ga_ls7e_ard_3-1-0_097073_2019-12-09_final
2019-12-18 09:38:36	ga_ls7e_ard_3-1-0_096083_2019-12-18_final
2019-12-25 09:40:02	ga_ls7e_ard_3-1-0_097072_2019-12-25_final
2019-12-26 10:23:38	ga_ls7e_ard_3-1-0_104073_2019-12-26_final
2019-12-27 11:10:50	ga_ls7e_ard_3-1-0_111083_2019-12-27_final
2020-01-15 10:00:41	ga_ls7e_ard_3-1-0_100080_2020-01-15_final
2020-01-17 09:48:38	ga_ls7e_ard_3-1-0_098081_2020-01-17_final
2020-01-17 11:26:43	ga_ls7e_ard_3-1-0_114079_2020-01-17_final
2020-01-19 11:14:15	ga_ls7e_ard_3-1-0_112079_2020-01-19_final
2020-02-11 09:42:23	ga_ls7e_ard_3-1-0_097084_2020-02-11_final
2020-02-17 10:40:41	ga_ls7e_ard_3-1-0_107076_2020-02-17_final
2020-02-18 09:47:24	ga_ls7e_ard_3-1-0_098082_2020-02-18_final
2020-02-18 11:25:53	ga_ls7e_ard_3-1-0_114081_2020-02-18_final
2020-02-22 09:24:04	ga_ls7e_ard_3-1-0_094086_2020-02-21_final
2020-02-23 10:04:05	ga_ls7e_ard_3-1-0_101078_2020-02-23_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-17 10:08:37	ga_ls7e_ard_3-1-0_102077_2020-03-17_final
2020-03-23 09:32:48	ga_ls7e_ard_3-1-0_096081_2020-03-23_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-03-28 09:51:04	ga_ls7e_ard_3-1-0_099081_2020-03-28_final
2020-03-30 09:35:24	ga_ls7e_ard_3-1-0_097073_2020-03-30_final
2020-04-01 11:04:12	ga_ls7e_ard_3-1-0_111079_2020-04-01_final
2020-04-06 09:41:11	ga_ls7e_ard_3-1-0_098073_2020-04-06_final
2022-03-17 09:49:31	ga_ls7e_ard_3-2-1_108079_2022-03-17_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years