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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

62 results

Time (local)	Label
1999-08-16 09:32:53	ga_ls7e_ard_3-0-0_093087_1999-08-16_final
1999-10-26 11:12:47	ga_ls7e_ard_3-0-0_110074_1999-10-26_final
1999-10-28 10:58:26	ga_ls7e_ard_3-0-0_108069_1999-10-28_final
1999-12-07 10:12:11	ga_ls7e_ard_3-0-0_100077_1999-12-07_final
2000-04-07 09:14:19	ga_ls7e_ard_3-0-0_090088_2000-04-06_final
2000-04-21 09:24:32	ga_ls7e_ard_3-0-0_092083_2000-04-20_final
2000-12-14 10:29:50	ga_ls7e_ard_3-0-0_103081_2000-12-14_final
2001-04-01 10:51:54	ga_ls7e_ard_3-0-0_107075_2001-04-01_final
2001-08-07 10:50:47	ga_ls7e_ard_3-0-0_107075_2001-08-07_final
2002-04-04 09:16:02	ga_ls7e_ard_3-1-0_091086_2002-04-03_final
2002-05-18 11:18:47	ga_ls7e_ard_3-0-0_111084_2002-05-18_final
2002-05-21 10:08:00	ga_ls7e_ard_3-0-0_100077_2002-05-21_final
2002-08-02 10:01:44	ga_ls7e_ard_3-0-0_099078_2002-08-02_final
2003-04-20 10:21:59	ga_ls7e_ard_3-0-0_102081_2003-04-20_final
2003-05-08 10:08:03	ga_ls7e_ard_3-0-0_100077_2003-05-08_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2004-01-13 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-01-13_final
2004-04-09 10:50:59	ga_ls7e_ard_3-0-0_107075_2004-04-09_final
2004-06-19 10:56:34	ga_ls7e_ard_3-0-0_108074_2004-06-19_final
2004-11-03 10:50:38	ga_ls7e_ard_3-0-0_107075_2004-11-03_final
2004-11-10 10:54:29	ga_ls7e_ard_3-0-0_108069_2004-11-10_final
2005-02-03 09:33:54	ga_ls7e_ard_3-0-0_095067_2005-02-03_final
2005-03-03 09:59:13	ga_ls7e_ard_3-0-0_099068_2005-03-03_final
2006-09-09 09:40:10	ga_ls7e_ard_3-0-0_096067_2006-09-09_final
2007-01-15 09:40:48	ga_ls7e_ard_3-0-0_096067_2007-01-15_final
2007-04-21 09:41:05	ga_ls7e_ard_3-0-0_096067_2007-04-21_final
2007-11-05 09:11:07	ga_ls7e_ard_3-0-0_090086_2007-11-04_final
2008-01-30 10:09:38	ga_ls7e_ard_3-0-0_100077_2008-01-30_final
2008-06-12 09:28:00	ga_ls7e_ard_3-1-0_094067_2008-06-11_final
2008-08-29 09:39:39	ga_ls7e_ard_3-0-0_096067_2008-08-29_final
2009-01-17 09:17:23	ga_ls7e_ard_3-0-0_091087_2009-01-16_final
2009-04-10 09:40:54	ga_ls7e_ard_3-0-0_096067_2009-04-10_final
2009-05-09 09:18:06	ga_ls7e_ard_3-0-0_091087_2009-05-08_final
2009-10-19 09:40:47	ga_ls7e_ard_3-0-0_096067_2009-10-19_final
2010-02-26 11:09:07	ga_ls7e_ard_3-0-0_110067_2010-02-26_final
2010-05-09 10:25:25	ga_ls7e_ard_3-0-0_102081_2010-05-09_final
2010-08-01 10:01:57	ga_ls7e_ard_3-0-0_098084_2010-08-01_final
2011-01-14 11:00:26	ga_ls7e_ard_3-0-0_108073_2011-01-14_final
2011-04-06 10:47:13	ga_ls7e_ard_3-0-0_106070_2011-04-06_final
2012-05-12 10:40:42	ga_ls7e_ard_3-0-0_104082_2012-05-12_final
2012-07-14 09:52:44	ga_ls7e_ard_3-0-0_097070_2012-07-14_final
2012-07-25 09:40:42	ga_ls7e_ard_3-0-0_094086_2012-07-25_final
2013-03-04 09:46:44	ga_ls7e_ard_3-0-0_096067_2013-03-04_final
2013-07-08 11:37:16	ga_ls7e_ard_3-0-0_114067_2013-07-08_final
2014-01-02 09:47:02	ga_ls7e_ard_3-0-0_096067_2014-01-02_final
2014-03-23 09:47:30	ga_ls7e_ard_3-0-0_096067_2014-03-23_final
2014-06-09 10:07:08	ga_ls7e_ard_3-0-0_098084_2014-06-09_final
2014-11-18 09:48:49	ga_ls7e_ard_3-0-0_096067_2014-11-18_final
2014-12-02 10:01:19	ga_ls7e_ard_3-0-0_098067_2014-12-02_final
2015-07-13 09:27:00	ga_ls7e_ard_3-1-0_091086_2015-07-12_final
2016-03-02 10:54:45	ga_ls7e_ard_3-0-0_106068_2016-03-02_final
2016-08-23 09:32:07	ga_ls7e_ard_3-0-0_092076_2016-08-23_final
2017-03-04 10:12:50	ga_ls7e_ard_3-0-0_099071_2017-03-04_final
2018-01-02 10:11:17	ga_ls7e_ard_3-0-0_099067_2018-01-02_final
2019-02-06 10:03:38	ga_ls7e_ard_3-0-0_099068_2019-02-06_final
2020-08-08 10:01:39	ga_ls7e_ard_3-1-0_102081_2020-08-08_final
2020-11-10 10:08:16	ga_ls7e_ard_3-1-0_104082_2020-11-10_final
2020-12-20 09:09:55	ga_ls7e_ard_3-1-0_096067_2020-12-19_final
2021-05-15 10:31:54	ga_ls7e_ard_3-2-0_110084_2021-05-15_final
2021-12-06 08:04:50	ga_ls7e_ard_3-2-1_089086_2021-12-05_final
2022-01-13 08:56:57	ga_ls7e_ard_3-2-1_099071_2022-01-12_final
2022-03-08 09:55:01	ga_ls7e_ard_3-2-1_109075_2022-03-08_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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