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

57 results

Time (local)	Label
1999-07-08 09:25:01	ga_ls7e_ard_3-1-0_092083_1999-07-07_final
2000-10-23 10:55:12	ga_ls7e_ard_3-0-0_107083_2000-10-23_final
2001-03-09 09:12:37	ga_ls7e_ard_3-0-0_090089_2001-03-08_final
2002-07-07 11:02:57	ga_ls7e_ard_3-0-0_109076_2002-07-07_final
2002-08-18 09:59:41	ga_ls7e_ard_3-0-0_099073_2002-08-18_final
2003-08-02 11:08:44	ga_ls7e_ard_3-0-0_110075_2003-08-02_final
2003-11-06 11:08:19	ga_ls7e_ard_3-0-0_110074_2003-11-06_final
2003-12-27 10:00:01	ga_ls7e_ard_3-0-0_099072_2003-12-27_final
2004-01-22 09:00:44	ga_ls7e_ard_3-0-0_089078_2004-01-21_final
2004-06-19 09:20:04	ga_ls7e_ard_3-0-0_092080_2004-06-18_final
2004-11-07 10:24:46	ga_ls7e_ard_3-0-0_103072_2004-11-07_final
2005-01-19 10:17:28	ga_ls7e_ard_3-0-0_102068_2005-01-19_final
2005-02-08 09:54:05	ga_ls7e_ard_3-0-0_098071_2005-02-08_final
2005-04-14 10:39:22	ga_ls7e_ard_3-0-0_105076_2005-04-14_final
2005-08-18 09:16:59	ga_ls7e_ard_3-0-0_091087_2005-08-17_final
2006-01-23 11:02:28	ga_ls7e_ard_3-0-0_109071_2006-01-23_final
2007-03-24 09:20:00	ga_ls7e_ard_3-0-0_092076_2007-03-23_final
2007-03-26 10:44:31	ga_ls7e_ard_3-0-0_106071_2007-03-26_final
2007-04-30 11:16:09	ga_ls7e_ard_3-0-0_111073_2007-04-30_final
2007-07-06 10:09:08	ga_ls7e_ard_3-0-0_100076_2007-07-06_final
2007-12-10 11:16:22	ga_ls7e_ard_3-0-0_111074_2007-12-10_final
2007-12-26 09:34:45	ga_ls7e_ard_3-0-0_095067_2007-12-26_final
2008-06-29 10:15:04	ga_ls7e_ard_3-0-0_101077_2008-06-29_final
2009-07-29 11:36:04	ga_ls7e_ard_3-0-0_114077_2009-07-29_final
2009-11-09 10:04:03	ga_ls7e_ard_3-0-0_099078_2009-11-09_final
2010-01-28 11:44:06	ga_ls7e_ard_3-0-0_115078_2010-01-28_final
2010-07-23 11:43:26	ga_ls7e_ard_3-0-0_115075_2010-07-23_final
2010-11-26 10:17:32	ga_ls7e_ard_3-1-0_101075_2010-11-26_final
2011-01-12 11:11:35	ga_ls7e_ard_3-0-0_110070_2011-01-12_final
2011-03-21 10:49:32	ga_ls7e_ard_3-0-0_106076_2011-03-21_final
2011-10-03 10:24:07	ga_ls7e_ard_3-0-0_102075_2011-10-03_final
2011-12-18 10:46:38	ga_ls7e_ard_3-0-0_106068_2011-12-18_final
2012-06-15 10:24:53	ga_ls7e_ard_3-0-0_102074_2012-06-15_final
2013-01-31 09:48:24	ga_ls7e_ard_3-0-0_096071_2013-01-31_final
2013-12-22 11:47:58	ga_ls7e_ard_3-0-0_115076_2013-12-22_final
2014-01-23 10:07:04	ga_ls7e_ard_3-0-0_099070_2014-01-23_final
2014-04-19 09:29:11	ga_ls7e_ard_3-0-0_093067_2014-04-18_final
2014-08-14 11:27:07	ga_ls7e_ard_3-0-0_112067_2014-08-14_final
2014-12-25 10:08:51	ga_ls7e_ard_3-0-0_099070_2014-12-25_final
2015-03-25 10:45:39	ga_ls7e_ard_3-0-0_105068_2015-03-25_final
2015-04-13 11:23:06	ga_ls7e_ard_3-0-0_110084_2015-04-13_final
2015-09-07 10:13:48	ga_ls7e_ard_3-0-0_099079_2015-09-07_final
2015-11-20 09:12:54	ga_ls7e_ard_3-0-0_089079_2015-11-19_final
2016-04-29 11:34:37	ga_ls7e_ard_3-1-0_112074_2016-04-29_final
2016-08-31 10:19:35	ga_ls7e_ard_3-0-0_100071_2016-08-31_final
2017-03-22 09:59:46	ga_ls7e_ard_3-0-0_097069_2017-03-22_final
2017-04-13 09:27:36	ga_ls7e_ard_3-0-0_091081_2017-04-12_final
2017-08-09 10:30:05	ga_ls7e_ard_3-0-0_101082_2017-08-09_final
2017-12-26 10:09:59	ga_ls7e_ard_3-0-0_098079_2017-12-26_final
2018-11-11 11:43:14	ga_ls7e_ard_3-0-0_114079_2018-11-11_final
2019-05-13 11:42:02	ga_ls7e_ard_3-0-0_115075_2019-05-13_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2020-04-23 10:25:27	ga_ls7e_ard_3-1-0_105078_2020-04-23_final
2020-05-17 11:15:02	ga_ls7e_ard_3-1-0_113082_2020-05-17_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_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