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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
2000-11-11 09:42:31	ga_ls7e_ard_3-0-0_096071_2000-11-11_final
2000-11-26 09:04:04	ga_ls7e_ard_3-0-0_089083_2000-11-25_final
2001-06-30 09:46:55	ga_ls7e_ard_3-0-0_097069_2001-06-30_final
2002-01-18 10:28:39	ga_ls7e_ard_3-0-0_103082_2002-01-18_final
2002-03-19 09:16:50	ga_ls7e_ard_3-0-0_091088_2002-03-18_final
2002-05-31 10:44:36	ga_ls7e_ard_3-0-0_106076_2002-05-31_final
2002-08-12 10:37:59	ga_ls7e_ard_3-0-0_105076_2002-08-12_final
2002-11-24 09:52:07	ga_ls7e_ard_3-0-0_097085_2002-11-24_final
2003-04-06 10:08:03	ga_ls7e_ard_3-0-0_100077_2003-04-06_final
2003-04-30 10:57:06	ga_ls7e_ard_3-0-0_108076_2003-04-30_final
2003-10-17 09:58:20	ga_ls7e_ard_3-0-0_098085_2003-10-17_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2004-06-23 10:34:38	ga_ls7e_ard_3-0-0_104081_2004-06-23_final
2004-12-19 11:02:58	ga_ls7e_ard_3-0-0_109074_2004-12-19_final
2005-09-08 11:11:49	ga_ls7e_ard_3-0-0_110081_2005-09-08_final
2005-10-01 11:14:21	ga_ls7e_ard_3-0-0_111072_2005-10-01_final
2005-11-05 10:06:18	ga_ls7e_ard_3-0-0_100071_2005-11-05_final
2006-06-24 10:17:49	ga_ls7e_ard_3-0-0_101083_2006-06-24_final
2006-11-08 10:06:45	ga_ls7e_ard_3-0-0_100071_2006-11-08_final
2007-02-20 09:16:43	ga_ls7e_ard_3-0-0_092068_2007-02-19_final
2007-05-26 10:17:46	ga_ls7e_ard_3-0-0_101082_2007-05-26_final
2007-10-13 09:01:04	ga_ls7e_ard_3-0-0_089077_2007-10-12_final
2007-11-20 10:03:17	ga_ls7e_ard_3-0-0_099077_2007-11-20_final
2007-12-07 09:09:22	ga_ls7e_ard_3-0-0_090081_2007-12-06_final
2008-01-28 10:20:24	ga_ls7e_ard_3-0-0_102073_2008-01-28_final
2008-02-02 09:04:26	ga_ls7e_ard_3-0-0_089084_2008-02-01_final
2008-03-19 10:51:54	ga_ls7e_ard_3-0-0_107075_2008-03-19_final
2008-05-06 09:16:31	ga_ls7e_ard_3-0-0_091084_2008-05-05_final
2009-08-13 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-13_final
2010-01-20 10:53:21	ga_ls7e_ard_3-0-0_107075_2010-01-20_final
2010-06-15 09:08:15	ga_ls7e_ard_3-0-0_089089_2010-06-14_final
2010-07-05 10:20:05	ga_ls7e_ard_3-0-0_101083_2010-07-05_final
2011-02-16 10:03:22	ga_ls7e_ard_3-0-0_099069_2011-02-16_final
2011-04-15 10:40:13	ga_ls7e_ard_3-0-0_105068_2011-04-15_final
2011-05-30 10:12:54	ga_ls7e_ard_3-0-0_100077_2011-05-30_final
2011-07-25 11:01:02	ga_ls7e_ard_3-0-0_108074_2011-07-25_final
2012-07-27 11:00:51	ga_ls7e_ard_3-0-0_108070_2012-07-27_final
2013-02-12 10:15:30	ga_ls7e_ard_3-0-0_100077_2013-02-12_final
2013-06-24 11:25:05	ga_ls7e_ard_3-0-0_112067_2013-06-24_final
2013-09-04 10:41:32	ga_ls7e_ard_3-0-0_104082_2013-09-04_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-05-25 09:13:28	ga_ls7e_ard_3-1-0_089089_2014-05-24_final
2014-12-12 10:44:27	ga_ls7e_ard_3-0-0_104082_2014-12-12_final
2015-04-09 11:41:00	ga_ls7e_ard_3-0-0_114067_2015-04-09_final
2015-08-30 09:23:31	ga_ls7e_ard_3-0-0_091077_2015-08-29_final
2015-09-15 09:26:24	ga_ls7e_ard_3-0-0_091084_2015-09-14_final
2016-01-07 09:15:37	ga_ls7e_ard_3-0-0_089084_2016-01-06_final
2016-12-24 09:14:06	ga_ls7e_ard_3-0-0_089078_2016-12-23_final
2017-01-06 10:20:45	ga_ls7e_ard_3-0-0_100075_2017-01-06_final
2017-02-28 10:41:30	ga_ls7e_ard_3-0-0_103081_2017-02-28_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-09-05 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-09-05_final
2017-10-09 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-10-09_final
2018-01-16 10:29:26	ga_ls7e_ard_3-0-0_101082_2018-01-16_final
2018-08-30 10:12:35	ga_ls7e_ard_3-0-0_099080_2018-08-30_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2020-05-09 10:26:05	ga_ls7e_ard_3-1-0_105082_2020-05-09_final
2020-09-04 09:37:22	ga_ls7e_ard_3-1-0_099071_2020-09-04_final
2021-05-06 10:38:02	ga_ls7e_ard_3-2-0_111082_2021-05-06_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-09 08:50:37	ga_ls7e_ard_3-2-0_095074_2021-07-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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