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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
1999-07-24 11:00:45	ga_ls7e_ard_3-1-0_108075_1999-07-24_final
1999-08-16 11:06:35	ga_ls7e_ard_3-0-0_109074_1999-08-16_final
2000-04-28 11:06:02	ga_ls7e_ard_3-0-0_109074_2000-04-28_final
2000-05-31 10:11:14	ga_ls7e_ard_3-0-0_100077_2000-05-31_final
2000-06-15 11:05:35	ga_ls7e_ard_3-0-0_109074_2000-06-15_final
2000-11-01 10:46:21	ga_ls7e_ard_3-0-0_106076_2000-11-01_final
2000-12-15 11:10:19	ga_ls7e_ard_3-0-0_110074_2000-12-15_final
2001-02-01 09:28:43	ga_ls7e_ard_3-1-0_094067_2001-01-31_final
2001-04-07 10:17:31	ga_ls7e_ard_3-0-0_101082_2001-04-07_final
2001-06-19 10:08:49	ga_ls7e_ard_3-0-0_100077_2001-06-19_final
2001-09-01 10:44:15	ga_ls7e_ard_3-1-0_106075_2001-09-01_final
2001-09-17 10:44:04	ga_ls7e_ard_3-1-0_106075_2001-09-17_final
2001-09-29 11:08:18	ga_ls7e_ard_3-0-0_110074_2001-09-29_final
2001-10-15 11:08:08	ga_ls7e_ard_3-0-0_110074_2001-10-15_final
2001-10-19 09:07:23	ga_ls7e_ard_3-0-0_090081_2001-10-18_final
2002-04-09 11:08:43	ga_ls7e_ard_3-0-0_110074_2002-04-09_final
2002-06-12 11:11:14	ga_ls7e_ard_3-0-0_110081_2002-06-12_final
2002-09-07 11:18:03	ga_ls7e_ard_3-0-0_111084_2002-09-07_final
2002-11-19 09:26:17	ga_ls7e_ard_3-1-0_094067_2002-11-18_final
2003-03-27 09:26:52	ga_ls7e_ard_3-1-0_094067_2003-03-26_final
2003-05-18 09:10:35	ga_ls7e_ard_3-0-0_090088_2003-05-17_final
2004-02-03 11:02:49	ga_ls7e_ard_3-0-0_109074_2004-02-03_final
2004-02-04 10:08:24	ga_ls7e_ard_3-0-0_100077_2004-02-04_final
2004-03-13 11:09:09	ga_ls7e_ard_3-0-0_110074_2004-03-13_final
2004-12-23 10:38:41	ga_ls7e_ard_3-0-0_105075_2004-12-23_final
2005-04-11 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-04-11_final
2005-11-02 11:19:26	ga_ls7e_ard_3-0-0_111084_2005-11-02_final
2005-12-07 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-12-07_final
2006-01-14 09:28:06	ga_ls7e_ard_3-1-0_094067_2006-01-13_final
2006-04-15 10:51:46	ga_ls7e_ard_3-0-0_107075_2006-04-15_final
2006-05-22 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-05-21_final
2006-08-05 10:51:27	ga_ls7e_ard_3-0-0_107075_2006-08-05_final
2007-02-06 10:45:57	ga_ls7e_ard_3-1-0_106075_2007-02-06_final
2007-09-08 10:09:09	ga_ls7e_ard_3-0-0_100077_2007-09-08_final
2007-11-01 09:28:13	ga_ls7e_ard_3-0-0_094067_2007-10-31_final
2007-12-22 10:03:51	ga_ls7e_ard_3-0-0_099078_2007-12-22_final
2008-01-30 10:09:38	ga_ls7e_ard_3-0-0_100077_2008-01-30_final
2008-02-07 09:24:09	ga_ls7e_ard_3-0-0_092087_2008-02-06_final
2008-02-21 09:28:29	ga_ls7e_ard_3-1-0_094067_2008-02-20_final
2010-01-25 09:29:53	ga_ls7e_ard_3-1-0_094067_2010-01-24_final
2010-02-12 10:59:25	ga_ls7e_ard_3-0-0_108074_2010-02-12_final
2010-03-08 10:11:23	ga_ls7e_ard_3-0-0_100077_2010-03-08_final
2010-04-15 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-04-15_final
2010-07-14 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-07-14_final
2010-07-20 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-07-20_final
2010-10-08 09:30:32	ga_ls7e_ard_3-1-0_094067_2010-10-08_final
2011-07-14 09:43:55	ga_ls7e_ard_3-0-0_095082_2011-07-14_final
2011-09-11 11:00:50	ga_ls7e_ard_3-0-0_108074_2011-09-11_final
2012-12-16 09:34:19	ga_ls7e_ard_3-1-0_094067_2012-12-16_final
2014-01-04 09:34:40	ga_ls7e_ard_3-1-0_094067_2014-01-04_final
2014-05-20 10:26:13	ga_ls7e_ard_3-0-0_102070_2014-05-20_final
2014-11-20 09:36:29	ga_ls7e_ard_3-1-0_094067_2014-11-20_final
2015-09-27 11:30:03	ga_ls7e_ard_3-0-0_111084_2015-09-27_final
2016-03-14 09:40:19	ga_ls7e_ard_3-1-0_094067_2016-03-14_final
2016-03-30 09:40:23	ga_ls7e_ard_3-1-0_094067_2016-03-30_final
2016-12-27 11:19:28	ga_ls7e_ard_3-0-0_110067_2016-12-27_final
2017-04-08 10:48:18	ga_ls7e_ard_3-0-0_104082_2017-04-08_final
2018-04-28 11:30:35	ga_ls7e_ard_3-0-0_111084_2018-04-28_final
2019-01-16 09:52:32	ga_ls7e_ard_3-0-0_096085_2019-01-16_final
2019-09-09 10:05:27	ga_ls7e_ard_3-1-0_100077_2019-09-09_final
2020-07-11 09:33:04	ga_ls7e_ard_3-1-0_098067_2020-07-11_final
2022-03-28 07:53:04	ga_ls7e_ard_3-2-1_089084_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

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