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

86 results

Time (local)	Label
2000-09-10 11:10:36	ga_ls7e_ard_3-0-0_110074_2000-09-10_final
2000-12-25 10:07:22	ga_ls7e_ard_3-0-0_100071_2000-12-25_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2003-01-16 10:07:20	ga_ls7e_ard_3-0-0_100076_2003-01-16_final
2003-02-11 10:41:27	ga_ls7e_ard_3-0-0_106068_2003-02-11_final
2003-04-10 09:44:32	ga_ls7e_ard_3-0-0_096080_2003-04-10_final
2004-04-17 11:40:21	ga_ls7e_ard_3-0-0_115075_2004-04-17_final
2004-05-31 10:26:35	ga_ls7e_ard_3-0-0_103076_2004-05-31_final
2004-06-01 11:09:02	ga_ls7e_ard_3-0-0_110074_2004-06-01_final
2004-07-11 10:17:51	ga_ls7e_ard_3-0-0_102070_2004-07-11_final
2004-10-26 09:58:19	ga_ls7e_ard_3-0-0_099068_2004-10-26_final
2004-12-01 09:39:30	ga_ls7e_ard_3-0-0_095082_2004-12-01_final
2004-12-05 09:12:49	ga_ls7e_ard_3-0-0_091077_2004-12-04_final
2005-02-09 09:02:04	ga_ls7e_ard_3-0-0_089080_2005-02-08_final
2005-03-15 10:24:21	ga_ls7e_ard_3-0-0_103069_2005-03-15_final
2005-06-29 11:05:55	ga_ls7e_ard_3-1-0_109081_2005-06-29_final
2005-10-13 10:00:36	ga_ls7e_ard_3-0-0_099073_2005-10-13_final
2005-12-08 09:18:28	ga_ls7e_ard_3-0-0_091090_2005-12-07_final
2006-01-18 10:42:42	ga_ls7e_ard_3-0-0_106068_2006-01-18_final
2006-02-09 10:06:56	ga_ls7e_ard_3-0-0_100071_2006-02-09_final
2006-02-22 11:15:46	ga_ls7e_ard_3-0-0_111073_2006-02-22_final
2006-06-09 10:55:58	ga_ls7e_ard_3-0-0_108070_2006-06-09_final
2006-09-30 11:42:14	ga_ls7e_ard_3-0-0_115079_2006-09-30_final
2006-10-09 09:56:42	ga_ls7e_ard_3-0-0_098078_2006-10-09_final
2007-03-23 10:16:01	ga_ls7e_ard_3-0-0_101077_2007-03-23_final
2007-11-28 09:18:17	ga_ls7e_ard_3-0-0_091088_2007-11-27_final
2008-01-21 10:15:50	ga_ls7e_ard_3-0-0_101077_2008-01-21_final
2008-04-04 10:54:42	ga_ls7e_ard_3-0-0_107082_2008-04-04_final
2008-04-06 10:39:57	ga_ls7e_ard_3-0-0_105076_2008-04-06_final
2008-04-12 09:59:40	ga_ls7e_ard_3-0-0_099068_2008-04-12_final
2008-05-27 11:08:13	ga_ls7e_ard_3-0-0_110070_2008-05-27_final
2008-06-21 09:28:31	ga_ls7e_ard_3-0-0_093084_2008-06-20_final
2008-07-02 10:42:21	ga_ls7e_ard_3-0-0_106068_2008-07-02_final
2008-07-11 10:39:15	ga_ls7e_ard_3-0-0_105076_2008-07-11_final
2008-08-28 10:37:16	ga_ls7e_ard_3-0-0_105072_2008-08-28_final
2008-10-25 11:12:32	ga_ls7e_ard_3-0-0_111068_2008-10-25_final
2009-02-05 09:43:11	ga_ls7e_ard_3-0-0_096074_2009-02-05_final
2009-03-05 10:11:46	ga_ls7e_ard_3-0-0_100083_2009-03-05_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-04-08 09:57:39	ga_ls7e_ard_3-0-0_098078_2009-04-08_final
2009-05-17 11:42:50	ga_ls7e_ard_3-0-0_115078_2009-05-17_final
2010-02-24 11:24:16	ga_ls7e_ard_3-0-0_112074_2010-02-24_final
2010-04-18 11:44:37	ga_ls7e_ard_3-0-0_115078_2010-04-18_final
2010-05-23 10:33:44	ga_ls7e_ard_3-0-0_104071_2010-05-23_final
2010-06-28 10:10:41	ga_ls7e_ard_3-0-0_100075_2010-06-28_final
2010-09-16 10:10:47	ga_ls7e_ard_3-0-0_100075_2010-09-16_final
2010-10-15 11:19:16	ga_ls7e_ard_3-0-0_111076_2010-10-15_final
2010-11-28 10:03:36	ga_ls7e_ard_3-0-0_099071_2010-11-28_final
2010-12-03 10:21:23	ga_ls7e_ard_3-0-0_102069_2010-12-03_final
2011-01-19 09:41:19	ga_ls7e_ard_3-0-0_095076_2011-01-19_final
2011-10-01 10:38:52	ga_ls7e_ard_3-0-0_104081_2011-10-01_final
2012-01-15 11:14:44	ga_ls7e_ard_3-0-0_110076_2012-01-15_final
2012-08-13 10:08:38	ga_ls7e_ard_3-0-0_099078_2012-08-13_final
2012-10-24 09:23:05	ga_ls7e_ard_3-1-0_091086_2012-10-23_final
2012-12-23 11:21:25	ga_ls7e_ard_3-0-0_111072_2012-12-23_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2013-04-13 10:36:26	ga_ls7e_ard_3-0-0_104068_2013-04-13_final
2014-04-23 09:11:41	ga_ls7e_ard_3-0-0_089085_2014-04-22_final
2014-06-09 11:42:50	ga_ls7e_ard_3-0-0_114076_2014-06-09_final
2014-12-01 09:25:38	ga_ls7e_ard_3-1-0_091086_2014-11-30_final
2015-02-27 10:09:34	ga_ls7e_ard_3-0-0_099071_2015-02-27_final
2015-04-04 11:22:48	ga_ls7e_ard_3-0-0_111068_2015-04-04_final
2015-04-10 09:10:54	ga_ls7e_ard_3-0-0_089078_2015-04-09_final
2016-01-13 10:12:19	ga_ls7e_ard_3-0-0_099071_2016-01-13_final
2016-07-31 09:29:29	ga_ls7e_ard_3-0-0_091085_2016-07-30_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-06-26 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-06-26_final
2017-08-12 09:25:18	ga_ls7e_ard_3-0-0_090090_2017-08-11_final
2018-05-31 10:28:50	ga_ls7e_ard_3-0-0_102070_2018-05-31_final
2018-10-08 10:17:52	ga_ls7e_ard_3-0-0_100080_2018-10-08_final
2018-12-15 09:53:06	ga_ls7e_ard_3-0-0_096084_2018-12-15_final
2019-02-15 09:57:35	ga_ls7e_ard_3-0-0_098069_2019-02-15_final
2019-04-07 10:28:01	ga_ls7e_ard_3-0-0_103072_2019-04-07_final
2019-07-01 10:43:24	ga_ls7e_ard_3-0-0_106072_2019-07-01_final
2020-01-19 09:32:11	ga_ls7e_ard_3-1-0_096071_2020-01-19_final
2020-03-07 09:34:53	ga_ls7e_ard_3-1-0_096084_2020-03-07_final
2020-05-15 09:43:03	ga_ls7e_ard_3-1-0_099068_2020-05-15_final
2020-06-22 10:44:59	ga_ls7e_ard_3-1-0_109074_2020-06-22_final
2020-07-02 09:43:47	ga_ls7e_ard_3-1-0_099077_2020-07-02_final
2020-08-04 10:24:37	ga_ls7e_ard_3-1-0_106076_2020-08-04_final
2020-08-30 11:00:02	ga_ls7e_ard_3-1-0_112076_2020-08-30_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-12-06 08:01:38	ga_ls7e_ard_3-2-1_089078_2021-12-05_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_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