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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
2000-03-27 11:06:17	ga_ls7e_ard_3-0-0_109074_2000-03-27_final
2000-06-26 10:47:18	ga_ls7e_ard_3-1-0_106075_2000-06-26_final
2000-08-13 10:46:40	ga_ls7e_ard_3-1-0_106075_2000-08-13_final
2001-02-26 11:04:04	ga_ls7e_ard_3-0-0_109074_2001-02-26_final
2003-10-05 09:26:23	ga_ls7e_ard_3-1-0_094067_2003-10-04_final
2003-11-22 09:26:53	ga_ls7e_ard_3-1-0_094067_2003-11-21_final
2003-12-03 10:50:49	ga_ls7e_ard_3-0-0_107076_2003-12-03_final
2003-12-28 10:42:53	ga_ls7e_ard_3-0-0_106071_2003-12-28_final
2004-03-24 10:50:39	ga_ls7e_ard_3-0-0_107074_2004-03-24_final
2004-05-11 10:53:21	ga_ls7e_ard_3-0-0_107081_2004-05-11_final
2004-06-05 10:44:41	ga_ls7e_ard_3-1-0_106075_2004-06-05_final
2004-08-24 10:44:22	ga_ls7e_ard_3-1-0_106075_2004-08-24_final
2004-11-19 10:51:08	ga_ls7e_ard_3-0-0_107076_2004-11-19_final
2004-12-05 10:53:18	ga_ls7e_ard_3-0-0_107081_2004-12-05_final
2005-04-27 10:08:52	ga_ls7e_ard_3-0-0_100077_2005-04-27_final
2005-06-06 09:22:58	ga_ls7e_ard_3-0-0_092086_2005-06-05_final
2005-07-01 10:51:34	ga_ls7e_ard_3-0-0_107076_2005-07-01_final
2005-11-06 10:53:33	ga_ls7e_ard_3-0-0_107081_2005-11-06_final
2006-02-18 10:00:48	ga_ls7e_ard_3-0-0_099071_2006-02-18_final
2006-04-23 11:42:01	ga_ls7e_ard_3-1-0_115077_2006-04-23_final
2006-05-01 10:51:48	ga_ls7e_ard_3-0-0_107075_2006-05-01_final
2006-06-09 09:23:28	ga_ls7e_ard_3-0-0_092086_2006-06-08_final
2006-08-26 09:35:27	ga_ls7e_ard_3-0-0_094086_2006-08-26_final
2007-01-05 10:48:36	ga_ls7e_ard_3-0-0_106082_2007-01-05_final
2007-03-21 10:25:59	ga_ls7e_ard_3-0-0_103071_2007-03-21_final
2007-06-23 10:40:03	ga_ls7e_ard_3-0-0_105076_2007-06-23_final
2007-09-28 09:40:21	ga_ls7e_ard_3-0-0_096067_2007-09-28_final
2007-11-05 09:07:55	ga_ls7e_ard_3-0-0_090078_2007-11-04_final
2008-07-30 11:11:57	ga_ls7e_ard_3-0-0_110081_2008-07-30_final
2008-11-10 11:13:58	ga_ls7e_ard_3-0-0_111071_2008-11-10_final
2009-05-09 09:18:06	ga_ls7e_ard_3-0-0_091087_2009-05-08_final
2009-07-04 10:03:53	ga_ls7e_ard_3-0-0_099078_2009-07-04_final
2009-08-13 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-13_final
2009-08-15 10:39:58	ga_ls7e_ard_3-0-0_105076_2009-08-15_final
2010-03-07 09:29:19	ga_ls7e_ard_3-0-0_093080_2010-03-06_final
2010-10-30 10:38:08	ga_ls7e_ard_3-0-0_104081_2010-10-30_final
2011-01-06 10:12:31	ga_ls7e_ard_3-0-0_100077_2011-01-06_final
2011-03-29 09:58:32	ga_ls7e_ard_3-0-0_098072_2011-03-29_final
2011-07-25 09:28:08	ga_ls7e_ard_3-0-0_092089_2011-07-24_final
2011-09-11 09:26:21	ga_ls7e_ard_3-0-0_092085_2011-09-10_final
2011-10-12 10:17:54	ga_ls7e_ard_3-1-0_101075_2011-10-12_final
2012-11-16 11:03:54	ga_ls7e_ard_3-1-0_108075_2012-11-16_final
2013-10-24 10:27:19	ga_ls7e_ard_3-0-0_102076_2013-10-24_final
2015-11-23 09:39:03	ga_ls7e_ard_3-1-0_094067_2015-11-23_final
2016-08-08 11:55:25	ga_ls7e_ard_3-0-0_115079_2016-08-08_final
2016-11-25 09:40:45	ga_ls7e_ard_3-1-0_094067_2016-11-25_final
2017-01-15 11:54:57	ga_ls7e_ard_3-0-0_115079_2017-01-15_final
2018-01-22 09:46:16	ga_ls7e_ard_3-0-0_095067_2018-01-22_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-05-23 10:40:14	ga_ls7e_ard_3-0-0_105076_2019-05-23_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-09-29 09:35:52	ga_ls7e_ard_3-1-0_096067_2019-09-29_final
2019-11-02 09:22:04	ga_ls7e_ard_3-1-0_094067_2019-11-01_final
2019-12-25 11:22:54	ga_ls7e_ard_3-1-0_113082_2019-12-25_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-01-23 08:55:10	ga_ls7e_ard_3-2-0_094067_2021-01-22_final
2021-02-01 10:30:24	ga_ls7e_ard_3-2-0_109075_2021-02-01_final
2021-02-12 10:11:26	ga_ls7e_ard_3-2-0_106076_2021-02-12_final
2021-11-03 08:58:25	ga_ls7e_ard_3-2-0_098073_2021-11-02_final
2022-01-14 09:40:54	ga_ls7e_ard_3-2-1_106073_2022-01-14_final
2022-04-03 08:47:54	ga_ls7e_ard_3-2-1_099068_2022-04-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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