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:

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First 100 results (query limit)

Time (local)	Label
2000-01-25 10:53:22	ga_ls7e_ard_3-0-0_107072_2000-01-25_final
2000-09-21 10:54:13	ga_ls7e_ard_3-0-0_107080_2000-09-21_final
2001-03-12 09:42:18	ga_ls7e_ard_3-0-0_095086_2001-03-12_final
2001-06-01 10:19:48	ga_ls7e_ard_3-0-0_102073_2001-06-01_final
2002-02-20 11:08:43	ga_ls7e_ard_3-0-0_110074_2002-02-20_final
2002-04-12 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-04-12_final
2002-08-06 11:13:27	ga_ls7e_ard_3-0-0_111072_2002-08-06_final
2003-04-30 10:59:30	ga_ls7e_ard_3-1-0_108082_2003-04-30_final
2003-08-30 11:35:46	ga_ls7e_ard_3-0-0_114081_2003-08-30_final
2003-11-26 10:43:51	ga_ls7e_ard_3-0-0_106074_2003-11-26_final
2003-12-21 10:37:50	ga_ls7e_ard_3-0-0_105074_2003-12-21_final
2004-02-10 11:09:25	ga_ls7e_ard_3-0-0_110075_2004-02-10_final
2004-02-19 11:03:14	ga_ls7e_ard_3-0-0_109075_2004-02-19_final
2004-08-10 10:34:49	ga_ls7e_ard_3-0-0_104082_2004-08-10_final
2004-11-12 10:44:07	ga_ls7e_ard_3-0-0_106074_2004-11-12_final
2004-11-24 11:09:21	ga_ls7e_ard_3-0-0_110075_2004-11-24_final
2005-04-08 09:42:00	ga_ls7e_ard_3-0-0_095087_2005-04-08_final
2005-05-21 10:55:33	ga_ls7e_ard_3-0-0_108070_2005-05-21_final
2005-08-23 11:09:11	ga_ls7e_ard_3-0-0_110074_2005-08-23_final
2005-12-03 08:56:44	ga_ls7e_ard_3-0-0_088082_2005-12-02_final
2006-01-29 10:29:25	ga_ls7e_ard_3-0-0_103081_2006-01-29_final
2006-02-20 11:31:43	ga_ls7e_ard_3-0-0_113082_2006-02-20_final
2006-06-07 11:13:56	ga_ls7e_ard_3-0-0_110084_2006-06-07_final
2006-07-28 11:41:18	ga_ls7e_ard_3-0-0_115076_2006-07-28_final
2006-11-05 11:15:53	ga_ls7e_ard_3-0-0_111074_2006-11-05_final
2007-07-27 10:26:00	ga_ls7e_ard_3-0-0_103072_2007-07-27_final
2007-10-11 10:51:05	ga_ls7e_ard_3-0-0_107074_2007-10-11_final
2007-10-31 10:25:49	ga_ls7e_ard_3-0-0_103072_2007-10-31_final
2007-11-01 11:08:17	ga_ls7e_ard_3-0-0_110070_2007-11-01_final
2007-12-26 11:16:01	ga_ls7e_ard_3-0-0_111073_2007-12-26_final
2008-04-22 10:42:18	ga_ls7e_ard_3-0-0_105082_2008-04-22_final
2008-05-02 11:14:57	ga_ls7e_ard_3-0-0_111071_2008-05-02_final
2008-07-19 11:31:47	ga_ls7e_ard_3-0-0_113084_2008-07-19_final
2008-09-13 10:39:08	ga_ls7e_ard_3-0-0_105077_2008-09-13_final
2008-12-19 11:21:47	ga_ls7e_ard_3-0-0_112074_2008-12-19_final
2009-03-01 10:30:52	ga_ls7e_ard_3-0-0_104069_2009-03-01_final
2009-10-28 09:41:56	ga_ls7e_ard_3-0-0_095085_2009-10-28_final
2009-12-15 09:37:23	ga_ls7e_ard_3-0-0_095072_2009-12-15_final
2010-03-05 11:17:21	ga_ls7e_ard_3-0-0_111072_2010-03-05_final
2010-11-13 10:46:17	ga_ls7e_ard_3-0-0_106070_2010-11-13_final
2010-12-10 10:27:14	ga_ls7e_ard_3-0-0_103068_2010-12-10_final
2011-01-30 11:04:07	ga_ls7e_ard_3-1-0_108082_2011-01-30_final
2011-02-19 10:33:53	ga_ls7e_ard_3-0-0_104068_2011-02-19_final
2011-03-04 11:45:56	ga_ls7e_ard_3-0-0_115078_2011-03-04_final
2011-06-12 09:45:59	ga_ls7e_ard_3-0-0_095087_2011-06-12_final
2011-07-16 11:07:38	ga_ls7e_ard_3-0-0_109075_2011-07-16_final
2012-03-02 10:33:09	ga_ls7e_ard_3-0-0_103080_2012-03-02_final
2012-06-13 10:38:01	ga_ls7e_ard_3-0-0_104076_2012-06-13_final
2012-07-25 11:13:11	ga_ls7e_ard_3-0-0_110070_2012-07-25_final
2012-12-06 10:36:25	ga_ls7e_ard_3-0-0_104068_2012-12-06_final
2013-02-02 11:15:19	ga_ls7e_ard_3-1-0_110072_2013-02-02_final
2013-03-28 10:38:52	ga_ls7e_ard_3-0-0_104074_2013-03-28_final
2013-04-27 10:48:42	ga_ls7e_ard_3-0-0_106068_2013-04-27_final
2014-01-26 10:38:25	ga_ls7e_ard_3-0-0_104071_2014-01-26_final
2014-02-10 11:39:17	ga_ls7e_ard_3-0-0_113084_2014-02-10_final
2014-02-28 11:20:24	ga_ls7e_ard_3-0-0_111068_2014-02-28_final
2014-04-14 10:49:51	ga_ls7e_ard_3-0-0_106068_2014-04-14_final
2014-04-28 11:07:57	ga_ls7e_ard_3-1-0_108082_2014-04-28_final
2014-08-16 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-08-16_final
2014-09-19 11:05:15	ga_ls7e_ard_3-0-0_108074_2014-09-19_final
2015-02-26 11:06:47	ga_ls7e_ard_3-0-0_108075_2015-02-26_final
2015-08-05 11:05:45	ga_ls7e_ard_3-0-0_108070_2015-08-05_final
2016-03-12 11:34:44	ga_ls7e_ard_3-0-0_112075_2016-03-12_final
2016-07-27 11:32:41	ga_ls7e_ard_3-0-0_111084_2016-07-27_final
2016-12-03 10:32:34	ga_ls7e_ard_3-1-0_102073_2016-12-03_final
2017-05-23 11:54:30	ga_ls7e_ard_3-0-0_115077_2017-05-23_final
2018-01-23 10:34:42	ga_ls7e_ard_3-0-0_102080_2018-01-23_final
2018-02-11 11:02:31	ga_ls7e_ard_3-0-0_107073_2018-02-11_final
2018-07-28 11:10:02	ga_ls7e_ard_3-0-0_108083_2018-07-28_final
2018-11-08 11:08:48	ga_ls7e_ard_3-0-0_109070_2018-11-08_final
2018-12-10 11:09:59	ga_ls7e_ard_3-0-0_109075_2018-12-10_final
2019-01-01 10:29:29	ga_ls7e_ard_3-0-0_103068_2019-01-01_final
2019-02-02 10:32:27	ga_ls7e_ard_3-0-0_103078_2019-02-02_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-06-03 10:20:55	ga_ls7e_ard_3-0-0_102075_2019-06-03_final
2019-07-24 10:47:53	ga_ls7e_ard_3-0-0_107070_2019-07-24_final
2019-10-19 10:52:23	ga_ls7e_ard_3-1-0_108075_2019-10-19_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-03-18 10:51:26	ga_ls7e_ard_3-1-0_109076_2020-03-18_final
2020-05-07 10:38:58	ga_ls7e_ard_3-1-0_107083_2020-05-07_final
2020-08-13 10:20:16	ga_ls7e_ard_3-1-0_105082_2020-08-13_final
2020-10-28 10:40:03	ga_ls7e_ard_3-1-0_109082_2020-10-28_final
2021-02-19 10:19:29	ga_ls7e_ard_3-2-0_107082_2021-02-19_final
2021-02-28 10:09:49	ga_ls7e_ard_3-2-0_106075_2021-02-28_final
2021-03-11 09:48:50	ga_ls7e_ard_3-2-0_103071_2021-03-11_final
2021-03-27 09:46:21	ga_ls7e_ard_3-2-0_103068_2021-03-27_final
2021-04-20 08:54:31	ga_ls7e_ard_3-2-0_095067_2021-04-19_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-06-28 10:50:09	ga_ls7e_ard_3-2-0_114077_2021-06-28_final
2021-10-01 08:21:19	ga_ls7e_ard_3-2-0_091081_2021-09-30_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-12 10:30:39	ga_ls7e_ard_3-2-1_113074_2021-11-12_final
2021-12-01 09:23:38	ga_ls7e_ard_3-2-1_102081_2021-11-30_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-01-28 08:13:50	ga_ls7e_ard_3-2-1_092075_2022-01-27_final
2022-03-10 09:46:03	ga_ls7e_ard_3-2-1_107084_2022-03-10_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