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
2000-06-06 11:11:45	ga_ls7e_ard_3-0-0_110074_2000-06-06_final
2001-07-11 11:09:16	ga_ls7e_ard_3-0-0_110074_2001-07-11_final
2002-07-01 11:40:26	ga_ls7e_ard_3-1-0_115077_2002-07-01_final
2003-04-26 11:21:01	ga_ls7e_ard_3-0-0_112074_2003-04-26_final
2003-10-10 11:30:05	ga_ls7e_ard_3-0-0_113083_2003-10-10_final
2003-11-29 11:13:57	ga_ls7e_ard_3-0-0_111072_2003-11-29_final
2004-05-03 11:41:34	ga_ls7e_ard_3-0-0_115078_2004-05-03_final
2004-09-10 11:27:07	ga_ls7e_ard_3-0-0_113074_2004-09-10_final
2004-12-17 11:14:30	ga_ls7e_ard_3-0-0_111072_2004-12-17_final
2004-12-26 11:09:13	ga_ls7e_ard_3-0-0_110074_2004-12-26_final
2005-01-11 11:09:18	ga_ls7e_ard_3-0-0_110074_2005-01-11_final
2005-05-06 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-06_final
2005-08-30 11:15:18	ga_ls7e_ard_3-0-0_111074_2005-08-30_final
2005-09-11 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-09-11_final
2006-03-03 11:10:00	ga_ls7e_ard_3-0-0_110074_2006-03-03_final
2006-03-22 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-22_final
2006-07-12 11:41:49	ga_ls7e_ard_3-1-0_115077_2006-07-12_final
2007-01-20 11:41:27	ga_ls7e_ard_3-0-0_115075_2007-01-20_final
2007-04-19 11:37:07	ga_ls7e_ard_3-0-0_114079_2007-04-19_final
2007-05-30 11:31:53	ga_ls7e_ard_3-0-0_113082_2007-05-30_final
2007-06-01 11:15:32	ga_ls7e_ard_3-0-0_111072_2007-06-01_final
2007-12-17 11:22:35	ga_ls7e_ard_3-0-0_112074_2007-12-17_final
2008-02-10 11:28:45	ga_ls7e_ard_3-0-0_113074_2008-02-10_final
2008-07-30 11:11:57	ga_ls7e_ard_3-0-0_110081_2008-07-30_final
2008-09-07 11:13:52	ga_ls7e_ard_3-0-0_111071_2008-09-07_final
2009-01-06 11:08:45	ga_ls7e_ard_3-1-0_110072_2009-01-06_final
2009-04-03 11:15:34	ga_ls7e_ard_3-0-0_111072_2009-04-03_final
2009-12-04 11:38:15	ga_ls7e_ard_3-0-0_114081_2009-12-04_final
2010-02-06 11:33:39	ga_ls7e_ard_3-0-0_114067_2010-02-06_final
2010-05-20 11:44:30	ga_ls7e_ard_3-0-0_115078_2010-05-20_final
2010-12-27 11:16:37	ga_ls7e_ard_3-0-0_110083_2010-12-27_final
2011-10-30 11:46:10	ga_ls7e_ard_3-0-0_115079_2011-10-30_final
2011-12-17 11:44:38	ga_ls7e_ard_3-0-0_115074_2011-12-17_final
2011-12-19 11:29:31	ga_ls7e_ard_3-0-0_113067_2011-12-19_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-01-31 11:13:57	ga_ls7e_ard_3-0-0_110074_2012-01-31_final
2012-04-07 11:46:28	ga_ls7e_ard_3-0-0_115078_2012-04-07_final
2012-11-01 11:48:39	ga_ls7e_ard_3-0-0_115079_2012-11-01_final
2012-11-05 11:25:55	ga_ls7e_ard_3-0-0_111084_2012-11-05_final
2013-01-24 11:19:29	ga_ls7e_ard_3-0-0_111067_2013-01-24_final
2013-09-01 11:47:53	ga_ls7e_ard_3-0-0_115078_2013-09-01_final
2014-06-13 11:17:43	ga_ls7e_ard_3-0-0_110075_2014-06-13_final
2015-02-13 11:37:05	ga_ls7e_ard_3-0-0_113074_2015-02-13_final
2015-05-04 11:34:59	ga_ls7e_ard_3-0-0_113067_2015-05-04_final
2015-06-14 11:31:52	ga_ls7e_ard_3-0-0_112074_2015-06-14_final
2015-06-19 11:52:25	ga_ls7e_ard_3-0-0_115079_2015-06-19_final
2015-09-23 11:52:46	ga_ls7e_ard_3-0-0_115079_2015-09-23_final
2015-12-30 11:40:13	ga_ls7e_ard_3-0-0_113075_2015-12-30_final
2016-01-01 11:26:41	ga_ls7e_ard_3-0-0_111072_2016-01-01_final
2016-08-05 11:22:31	ga_ls7e_ard_3-0-0_110074_2016-08-05_final
2016-10-15 11:28:02	ga_ls7e_ard_3-0-0_111072_2016-10-15_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2017-02-16 11:53:34	ga_ls7e_ard_3-0-0_115076_2017-02-16_final
2017-06-03 11:34:50	ga_ls7e_ard_3-0-0_112074_2017-06-03_final
2017-06-05 11:22:53	ga_ls7e_ard_3-0-0_110075_2017-06-05_final
2017-12-05 11:28:09	ga_ls7e_ard_3-0-0_111073_2017-12-05_final
2018-01-06 11:28:11	ga_ls7e_ard_3-0-0_111074_2018-01-06_final
2019-01-02 11:14:42	ga_ls7e_ard_3-0-0_110073_2019-01-02_final
2019-01-02 11:15:30	ga_ls7e_ard_3-0-0_110075_2019-01-02_final
2019-01-09 11:20:16	ga_ls7e_ard_3-0-0_111072_2019-01-09_final
2019-01-18 11:13:48	ga_ls7e_ard_3-1-0_110072_2019-01-18_final
2019-02-26 11:16:47	ga_ls7e_ard_3-1-0_111067_2019-02-26_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-03-30 11:17:20	ga_ls7e_ard_3-0-0_111071_2019-03-30_final
2019-04-15 11:15:11	ga_ls7e_ard_3-0-0_111067_2019-04-15_final
2019-06-02 11:15:46	ga_ls7e_ard_3-0-0_111073_2019-06-02_final
2019-06-11 11:09:40	ga_ls7e_ard_3-0-0_110074_2019-06-11_final
2019-10-04 11:37:28	ga_ls7e_ard_3-1-0_115078_2019-10-04_final
2020-02-13 11:02:01	ga_ls7e_ard_3-1-0_111067_2020-02-13_final
2020-05-17 11:14:14	ga_ls7e_ard_3-1-0_113080_2020-05-17_final
2020-05-28 10:53:01	ga_ls7e_ard_3-1-0_110075_2020-05-28_final
2020-10-10 10:49:59	ga_ls7e_ard_3-1-0_111073_2020-10-10_final
2020-12-19 10:09:36	ga_ls7e_ard_3-1-0_105077_2020-12-19_final
2020-12-25 11:10:10	ga_ls7e_ard_3-1-0_115075_2020-12-25_final
2021-01-06 09:52:23	ga_ls7e_ard_3-1-0_103068_2021-01-06_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-02-23 09:54:04	ga_ls7e_ard_3-2-0_103081_2021-02-23_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-09 10:02:57	ga_ls7e_ard_3-2-0_105075_2021-03-09_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-29 09:37:49	ga_ls7e_ard_3-2-0_101078_2021-03-29_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-09 09:06:04	ga_ls7e_ard_3-2-0_099071_2021-10-08_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-10 09:07:31	ga_ls7e_ard_3-2-0_099082_2021-11-09_final
2021-12-22 08:01:42	ga_ls7e_ard_3-2-1_089082_2021-12-21_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-09 09:22:26	ga_ls7e_ard_3-2-1_103072_2022-01-08_final
2022-01-17 10:11:31	ga_ls7e_ard_3-2-1_111073_2022-01-17_final
2022-02-22 09:42:02	ga_ls7e_ard_3-2-1_107070_2022-02-22_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