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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

81 results

Time (local)	Label
2000-04-07 09:14:19	ga_ls7e_ard_3-0-0_090088_2000-04-06_final
2000-05-17 11:39:31	ga_ls7e_ard_3-0-0_114081_2000-05-17_final
2000-08-09 09:29:17	ga_ls7e_ard_3-1-0_094067_2000-08-08_final
2000-11-15 09:19:24	ga_ls7e_ard_3-0-0_092075_2000-11-14_final
2000-11-16 10:04:15	ga_ls7e_ard_3-0-0_099079_2000-11-16_final
2001-03-16 10:52:26	ga_ls7e_ard_3-0-0_107076_2001-03-16_final
2001-10-18 11:41:05	ga_ls7e_ard_3-0-0_115079_2001-10-18_final
2001-12-02 09:26:45	ga_ls7e_ard_3-1-0_094067_2001-12-01_final
2002-04-02 11:02:29	ga_ls7e_ard_3-0-0_109074_2002-04-02_final
2002-05-20 11:02:26	ga_ls7e_ard_3-0-0_109074_2002-05-20_final
2002-08-26 10:52:10	ga_ls7e_ard_3-0-0_107081_2002-08-26_final
2002-11-03 09:26:04	ga_ls7e_ard_3-1-0_094067_2002-11-02_final
2002-11-19 09:26:17	ga_ls7e_ard_3-1-0_094067_2002-11-18_final
2002-12-09 10:46:13	ga_ls7e_ard_3-0-0_106081_2002-12-09_final
2003-08-13 10:52:34	ga_ls7e_ard_3-0-0_107081_2003-08-13_final
2003-12-19 10:52:58	ga_ls7e_ard_3-0-0_107081_2003-12-19_final
2004-01-03 10:08:13	ga_ls7e_ard_3-0-0_100077_2004-01-03_final
2004-01-04 10:51:05	ga_ls7e_ard_3-0-0_107076_2004-01-04_final
2004-03-17 10:47:14	ga_ls7e_ard_3-0-0_106081_2004-03-17_final
2004-04-18 10:47:07	ga_ls7e_ard_3-0-0_106081_2004-04-18_final
2004-06-21 10:44:36	ga_ls7e_ard_3-1-0_106075_2004-06-21_final
2004-08-13 11:02:32	ga_ls7e_ard_3-0-0_109074_2004-08-13_final
2004-10-18 10:50:49	ga_ls7e_ard_3-0-0_107076_2004-10-18_final
2005-01-14 09:59:44	ga_ls7e_ard_3-0-0_099070_2005-01-14_final
2005-11-27 09:27:48	ga_ls7e_ard_3-1-0_094067_2005-11-26_final
2005-12-18 09:49:59	ga_ls7e_ard_3-0-0_097076_2005-12-18_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2006-02-10 10:54:12	ga_ls7e_ard_3-0-0_107081_2006-02-10_final
2006-03-19 09:28:20	ga_ls7e_ard_3-1-0_094067_2006-03-18_final
2006-04-17 10:41:48	ga_ls7e_ard_3-0-0_105081_2006-04-17_final
2006-05-01 10:54:12	ga_ls7e_ard_3-0-0_107081_2006-05-01_final
2006-05-22 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-05-21_final
2006-09-22 10:51:15	ga_ls7e_ard_3-0-0_107075_2006-09-22_final
2006-10-08 10:51:07	ga_ls7e_ard_3-0-0_107075_2006-10-08_final
2007-03-25 09:59:40	ga_ls7e_ard_3-0-0_099067_2007-03-25_final
2007-06-05 10:52:01	ga_ls7e_ard_3-0-0_107075_2007-06-05_final
2007-08-18 09:53:34	ga_ls7e_ard_3-0-0_097084_2007-08-18_final
2007-09-23 09:21:50	ga_ls7e_ard_3-0-0_093067_2007-09-22_final
2007-11-03 10:57:33	ga_ls7e_ard_3-0-0_108074_2007-11-03_final
2007-12-03 09:28:28	ga_ls7e_ard_3-1-0_094067_2007-12-02_final
2008-04-06 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-04-06_final
2008-08-10 10:50:57	ga_ls7e_ard_3-0-0_107075_2008-08-10_final
2008-08-18 10:03:03	ga_ls7e_ard_3-0-0_099079_2008-08-18_final
2008-11-05 10:56:33	ga_ls7e_ard_3-0-0_108074_2008-11-05_final
2009-01-22 09:27:58	ga_ls7e_ard_3-0-0_094067_2009-01-21_final
2009-06-03 10:49:13	ga_ls7e_ard_3-0-0_106083_2009-06-03_final
2009-12-26 10:58:44	ga_ls7e_ard_3-0-0_108074_2009-12-26_final
2010-01-02 09:28:09	ga_ls7e_ard_3-0-0_093079_2010-01-01_final
2010-03-05 09:41:40	ga_ls7e_ard_3-0-0_095080_2010-03-05_final
2010-05-28 09:20:12	ga_ls7e_ard_3-0-0_091088_2010-05-27_final
2011-03-20 10:04:17	ga_ls7e_ard_3-0-0_099071_2011-03-20_final
2011-05-16 09:56:31	ga_ls7e_ard_3-0-0_098067_2011-05-16_final
2011-06-16 10:55:21	ga_ls7e_ard_3-0-0_107075_2011-06-16_final
2011-08-19 10:55:10	ga_ls7e_ard_3-0-0_107075_2011-08-19_final
2012-02-04 09:13:34	ga_ls7e_ard_3-1-0_090082_2012-02-03_final
2012-03-04 10:17:11	ga_ls7e_ard_3-0-0_101071_2012-03-04_final
2012-11-30 09:34:13	ga_ls7e_ard_3-1-0_094067_2012-11-30_final
2012-12-16 09:34:19	ga_ls7e_ard_3-1-0_094067_2012-12-16_final
2013-02-27 09:36:34	ga_ls7e_ard_3-0-0_093088_2013-02-27_final
2014-06-20 11:27:05	ga_ls7e_ard_3-0-0_111083_2014-06-20_final
2015-01-07 11:15:40	ga_ls7e_ard_3-0-0_110067_2015-01-07_final
2016-04-15 09:40:30	ga_ls7e_ard_3-1-0_094067_2016-04-15_final
2016-06-18 11:20:52	ga_ls7e_ard_3-0-0_110070_2016-06-18_final
2016-07-13 11:16:16	ga_ls7e_ard_3-0-0_109074_2016-07-13_final
2017-02-18 09:59:57	ga_ls7e_ard_3-0-0_097070_2017-02-18_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-08-27 09:36:34	ga_ls7e_ard_3-1-0_094067_2018-08-27_final
2018-09-12 09:43:48	ga_ls7e_ard_3-0-0_094086_2018-09-12_final
2018-10-30 09:35:06	ga_ls7e_ard_3-1-0_094067_2018-10-30_final
2018-11-06 11:21:37	ga_ls7e_ard_3-0-0_111071_2018-11-06_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-07-16 10:01:57	ga_ls7e_ard_3-0-0_099078_2019-07-16_final
2020-06-13 09:10:02	ga_ls7e_ard_3-1-0_094067_2020-06-12_final
2020-07-25 09:48:58	ga_ls7e_ard_3-1-0_100078_2020-07-25_final
2020-08-16 09:06:07	ga_ls7e_ard_3-1-0_094067_2020-08-15_final
2020-11-20 08:59:47	ga_ls7e_ard_3-1-0_094067_2020-11-19_final
2021-02-05 10:05:23	ga_ls7e_ard_3-2-0_105075_2021-02-05_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-07-05 09:17:16	ga_ls7e_ard_3-2-0_099078_2021-07-04_final
2021-08-07 09:56:28	ga_ls7e_ard_3-2-0_106075_2021-08-07_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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