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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

61 results

Time (local)	Label
2000-12-12 09:06:53	ga_ls7e_ard_3-0-0_089090_2000-12-11_final
2001-02-15 11:24:17	ga_ls7e_ard_3-0-0_112078_2001-02-15_final
2001-05-08 09:28:15	ga_ls7e_ard_3-1-0_094067_2001-05-07_final
2001-11-21 09:46:05	ga_ls7e_ard_3-0-0_097069_2001-11-21_final
2002-01-03 09:26:51	ga_ls7e_ard_3-1-0_094067_2002-01-02_final
2003-08-02 09:26:39	ga_ls7e_ard_3-1-0_094067_2003-08-01_final
2003-11-30 10:21:08	ga_ls7e_ard_3-0-0_102079_2003-11-30_final
2004-03-26 10:38:17	ga_ls7e_ard_3-0-0_105074_2004-03-26_final
2004-05-26 10:07:40	ga_ls7e_ard_3-0-0_100075_2004-05-26_final
2004-07-30 10:51:01	ga_ls7e_ard_3-0-0_107076_2004-07-30_final
2004-10-18 10:52:49	ga_ls7e_ard_3-0-0_107081_2004-10-18_final
2004-11-19 10:53:32	ga_ls7e_ard_3-0-0_107082_2004-11-19_final
2005-01-23 09:53:32	ga_ls7e_ard_3-0-0_098070_2005-01-23_final
2005-09-04 09:56:54	ga_ls7e_ard_3-0-0_098079_2005-09-04_final
2006-01-03 11:28:37	ga_ls7e_ard_3-0-0_113075_2006-01-03_final
2006-01-12 09:43:14	ga_ls7e_ard_3-0-0_096074_2006-01-12_final
2006-01-17 09:59:25	ga_ls7e_ard_3-0-0_099068_2006-01-17_final
2006-03-22 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-22_final
2006-04-09 11:32:05	ga_ls7e_ard_3-0-0_113083_2006-04-09_final
2006-04-17 10:37:24	ga_ls7e_ard_3-0-0_105070_2006-04-17_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-07-04 10:51:39	ga_ls7e_ard_3-0-0_107075_2006-07-04_final
2007-03-06 09:28:44	ga_ls7e_ard_3-0-0_094067_2007-03-05_final
2007-05-04 10:52:12	ga_ls7e_ard_3-0-0_107075_2007-05-04_final
2007-05-20 09:18:48	ga_ls7e_ard_3-0-0_091089_2007-05-19_final
2007-07-07 10:51:59	ga_ls7e_ard_3-0-0_107075_2007-07-07_final
2007-08-24 10:51:44	ga_ls7e_ard_3-0-0_107075_2007-08-24_final
2007-09-09 10:54:00	ga_ls7e_ard_3-0-0_107081_2007-09-09_final
2007-11-04 10:00:44	ga_ls7e_ard_3-0-0_099071_2007-11-04_final
2007-11-05 09:11:07	ga_ls7e_ard_3-0-0_090086_2007-11-04_final
2007-12-24 09:48:42	ga_ls7e_ard_3-0-0_097071_2007-12-24_final
2008-03-08 09:28:23	ga_ls7e_ard_3-1-0_094067_2008-03-07_final
2008-05-22 10:51:43	ga_ls7e_ard_3-0-0_107075_2008-05-22_final
2008-07-27 10:39:05	ga_ls7e_ard_3-0-0_105076_2008-07-27_final
2008-10-15 09:02:47	ga_ls7e_ard_3-0-0_089084_2008-10-14_final
2008-12-03 09:39:57	ga_ls7e_ard_3-0-0_096067_2008-12-03_final
2009-01-27 09:49:43	ga_ls7e_ard_3-0-0_097075_2009-01-27_final
2009-12-18 10:07:57	ga_ls7e_ard_3-0-0_100071_2009-12-18_final
2009-12-24 09:29:23	ga_ls7e_ard_3-1-0_094067_2009-12-23_final
2010-06-15 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-06-15_final
2010-07-09 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-07-09_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2011-04-20 09:26:38	ga_ls7e_ard_3-0-0_092085_2011-04-19_final
2013-03-01 10:56:18	ga_ls7e_ard_3-0-0_107071_2013-03-01_final
2013-05-22 10:46:03	ga_ls7e_ard_3-0-0_105077_2013-05-22_final
2013-12-03 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-03_final
2013-12-19 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-19_final
2014-01-04 09:34:40	ga_ls7e_ard_3-1-0_094067_2014-01-04_final
2014-03-12 10:06:21	ga_ls7e_ard_3-0-0_099068_2014-03-12_final
2014-03-23 09:49:30	ga_ls7e_ard_3-0-0_096072_2014-03-23_final
2014-12-22 09:36:46	ga_ls7e_ard_3-1-0_094067_2014-12-22_final
2015-07-18 09:45:33	ga_ls7e_ard_3-0-0_094086_2015-07-18_final
2015-12-25 09:39:32	ga_ls7e_ard_3-1-0_094067_2015-12-25_final
2016-01-24 09:59:54	ga_ls7e_ard_3-1-0_096086_2016-01-24_final
2017-07-12 11:44:42	ga_ls7e_ard_3-0-0_113083_2017-07-12_final
2019-06-07 09:53:39	ga_ls7e_ard_3-0-0_098069_2019-06-07_final
2020-03-20 10:41:45	ga_ls7e_ard_3-1-0_107083_2020-03-20_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-11-04 10:46:33	ga_ls7e_ard_3-1-0_110084_2020-11-04_final
2020-11-11 09:08:59	ga_ls7e_ard_3-1-0_095073_2020-11-10_final
2021-02-02 09:35:30	ga_ls7e_ard_3-2-0_100077_2021-02-02_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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