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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

60 results

Time (local)	Label
1999-07-21 10:31:25	ga_ls7e_ard_3-0-0_103079_1999-07-21_final
1999-09-23 10:31:35	ga_ls7e_ard_3-0-0_103079_1999-09-23_final
1999-10-09 10:31:41	ga_ls7e_ard_3-0-0_103079_1999-10-09_final
2000-05-20 10:30:42	ga_ls7e_ard_3-0-0_103079_2000-05-20_final
2000-06-21 10:30:27	ga_ls7e_ard_3-0-0_103079_2000-06-21_final
2001-10-14 10:26:50	ga_ls7e_ard_3-0-0_103079_2001-10-14_final
2001-11-15 10:27:08	ga_ls7e_ard_3-0-0_103079_2001-11-15_final
2001-12-17 10:27:18	ga_ls7e_ard_3-0-0_103079_2001-12-17_final
2002-05-26 10:27:17	ga_ls7e_ard_3-0-0_103079_2002-05-26_final
2002-08-30 10:26:37	ga_ls7e_ard_3-0-0_103079_2002-08-30_final
2003-07-16 10:27:12	ga_ls7e_ard_3-0-0_103079_2003-07-16_final
2003-08-01 10:27:04	ga_ls7e_ard_3-0-0_103079_2003-08-01_final
2003-09-02 10:26:58	ga_ls7e_ard_3-0-0_103079_2003-09-02_final
2003-10-04 10:26:48	ga_ls7e_ard_3-0-0_103079_2003-10-04_final
2003-10-20 10:26:54	ga_ls7e_ard_3-0-0_103079_2003-10-20_final
2005-01-26 10:28:02	ga_ls7e_ard_3-0-0_103079_2005-01-26_final
2005-02-11 10:28:12	ga_ls7e_ard_3-0-0_103079_2005-02-11_final
2006-02-14 10:28:42	ga_ls7e_ard_3-0-0_103079_2006-02-14_final
2006-03-18 10:28:44	ga_ls7e_ard_3-0-0_103079_2006-03-18_final
2007-03-05 10:29:08	ga_ls7e_ard_3-0-0_103079_2007-03-05_final
2007-10-31 10:28:36	ga_ls7e_ard_3-0-0_103079_2007-10-31_final
2008-04-24 10:28:44	ga_ls7e_ard_3-0-0_103079_2008-04-24_final
2008-07-13 10:28:04	ga_ls7e_ard_3-0-0_103079_2008-07-13_final
2009-05-13 10:29:04	ga_ls7e_ard_3-0-0_103079_2009-05-13_final
2009-05-29 10:29:05	ga_ls7e_ard_3-0-0_103079_2009-05-29_final
2009-09-18 10:28:47	ga_ls7e_ard_3-0-0_103079_2009-09-18_final
2010-02-25 10:30:38	ga_ls7e_ard_3-0-0_103079_2010-02-25_final
2010-11-24 10:31:28	ga_ls7e_ard_3-0-0_103079_2010-11-24_final
2010-12-26 10:31:45	ga_ls7e_ard_3-0-0_103079_2010-12-26_final
2011-04-17 10:32:14	ga_ls7e_ard_3-0-0_103079_2011-04-17_final
2011-07-06 10:32:10	ga_ls7e_ard_3-0-0_103079_2011-07-06_final
2011-07-22 10:32:08	ga_ls7e_ard_3-0-0_103079_2011-07-22_final
2011-09-24 10:31:54	ga_ls7e_ard_3-0-0_103079_2011-09-24_final
2011-11-27 10:32:20	ga_ls7e_ard_3-0-0_103079_2011-11-27_final
2012-04-03 10:32:44	ga_ls7e_ard_3-0-0_103079_2012-04-03_final
2012-08-09 10:33:42	ga_ls7e_ard_3-0-0_103079_2012-08-09_final
2013-02-17 10:34:50	ga_ls7e_ard_3-0-0_103079_2013-02-17_final
2013-03-21 10:34:44	ga_ls7e_ard_3-0-0_103079_2013-03-21_final
2013-10-31 10:34:42	ga_ls7e_ard_3-0-0_103079_2013-10-31_final
2013-12-02 10:34:57	ga_ls7e_ard_3-0-0_103079_2013-12-02_final
2013-12-18 10:34:57	ga_ls7e_ard_3-0-0_103079_2013-12-18_final
2014-01-03 10:35:05	ga_ls7e_ard_3-0-0_103079_2014-01-03_final
2014-05-11 10:35:55	ga_ls7e_ard_3-0-0_103079_2014-05-11_final
2014-11-03 10:36:50	ga_ls7e_ard_3-0-0_103079_2014-11-03_final
2015-11-22 10:39:27	ga_ls7e_ard_3-0-0_103079_2015-11-22_final
2015-12-08 10:39:41	ga_ls7e_ard_3-0-0_103079_2015-12-08_final
2016-01-09 10:40:11	ga_ls7e_ard_3-0-0_103079_2016-01-09_final
2016-02-10 10:40:30	ga_ls7e_ard_3-0-0_103079_2016-02-10_final
2016-03-13 10:40:43	ga_ls7e_ard_3-0-0_103079_2016-03-13_final
2016-11-08 10:41:15	ga_ls7e_ard_3-0-0_103079_2016-11-08_final
2017-08-23 10:41:15	ga_ls7e_ard_3-0-0_103079_2017-08-23_final
2017-09-08 10:41:14	ga_ls7e_ard_3-0-0_103079_2017-09-08_final
2017-10-26 10:41:17	ga_ls7e_ard_3-0-0_103079_2017-10-26_final
2018-03-19 10:39:47	ga_ls7e_ard_3-0-0_103079_2018-03-19_final
2018-07-25 10:37:36	ga_ls7e_ard_3-0-0_103079_2018-07-25_final
2018-10-13 10:35:53	ga_ls7e_ard_3-0-0_103079_2018-10-13_final
2018-11-14 10:35:10	ga_ls7e_ard_3-0-0_103079_2018-11-14_final
2018-11-30 10:34:46	ga_ls7e_ard_3-0-0_103079_2018-11-30_final
2019-05-09 10:29:37	ga_ls7e_ard_3-0-0_103079_2019-05-09_final
2019-06-10 10:28:26	ga_ls7e_ard_3-0-0_103079_2019-06-10_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

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