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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

52 results

Time (local)	Label
1999-07-19 09:06:54	ga_ls7e_ard_3-0-0_089084_1999-07-18_final
2000-04-07 10:48:24	ga_ls7e_ard_3-0-0_106076_2000-04-07_final
2001-08-07 09:12:18	ga_ls7e_ard_3-0-0_091076_2001-08-06_final
2002-10-06 10:44:05	ga_ls7e_ard_3-0-0_106077_2002-10-06_final
2004-02-02 10:17:33	ga_ls7e_ard_3-0-0_102069_2004-02-02_final
2004-05-09 11:02:55	ga_ls7e_ard_3-0-0_109074_2004-05-09_final
2005-12-18 11:31:16	ga_ls7e_ard_3-0-0_113082_2005-12-18_final
2006-06-27 10:46:19	ga_ls7e_ard_3-0-0_106077_2006-06-27_final
2006-08-30 10:45:12	ga_ls7e_ard_3-1-0_106075_2006-08-30_final
2006-09-26 10:25:42	ga_ls7e_ard_3-0-0_103073_2006-09-26_final
2007-03-18 09:59:52	ga_ls7e_ard_3-0-0_098083_2007-03-18_final
2007-03-18 11:35:09	ga_ls7e_ard_3-0-0_114074_2007-03-18_final
2007-03-26 09:08:02	ga_ls7e_ard_3-0-0_090077_2007-03-25_final
2007-10-08 10:17:45	ga_ls7e_ard_3-0-0_102068_2007-10-08_final
2007-10-10 10:09:01	ga_ls7e_ard_3-0-0_100077_2007-10-10_final
2007-12-06 10:05:23	ga_ls7e_ard_3-0-0_099082_2007-12-06_final
2008-06-09 09:02:19	ga_ls7e_ard_3-0-0_089080_2008-06-08_final
2008-12-26 11:28:02	ga_ls7e_ard_3-0-0_113074_2008-12-26_final
2009-06-12 10:41:50	ga_ls7e_ard_3-1-0_105080_2009-06-12_final
2009-11-17 09:18:18	ga_ls7e_ard_3-0-0_091087_2009-11-16_final
2009-11-25 10:05:51	ga_ls7e_ard_3-0-0_099082_2009-11-25_final
2010-04-09 10:11:55	ga_ls7e_ard_3-0-0_100078_2010-04-09_final
2010-08-08 11:43:25	ga_ls7e_ard_3-0-0_115075_2010-08-08_final
2011-02-10 09:05:56	ga_ls7e_ard_3-0-0_089080_2011-02-09_final
2011-09-09 11:13:37	ga_ls7e_ard_3-0-0_110075_2011-09-09_final
2012-07-14 09:52:44	ga_ls7e_ard_3-0-0_097070_2012-07-14_final
2012-12-23 11:21:25	ga_ls7e_ard_3-0-0_111072_2012-12-23_final
2012-12-28 10:03:06	ga_ls7e_ard_3-0-0_098077_2012-12-28_final
2013-01-29 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-01-29_final
2013-04-08 10:21:31	ga_ls7e_ard_3-0-0_101077_2013-04-08_final
2013-11-25 10:24:43	ga_ls7e_ard_3-0-0_102069_2013-11-25_final
2014-01-09 11:32:05	ga_ls7e_ard_3-0-0_113067_2014-01-09_final
2014-07-02 11:49:07	ga_ls7e_ard_3-0-0_115076_2014-07-02_final
2014-09-03 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-09-03_final
2014-09-24 11:27:49	ga_ls7e_ard_3-0-0_111084_2014-09-24_final
2014-11-08 10:51:26	ga_ls7e_ard_3-0-0_106069_2014-11-08_final
2014-12-03 10:50:35	ga_ls7e_ard_3-0-0_105082_2014-12-03_final
2015-01-12 11:40:13	ga_ls7e_ard_3-0-0_113082_2015-01-12_final
2015-05-17 11:10:35	ga_ls7e_ard_3-0-0_108083_2015-05-17_final
2015-08-06 11:52:37	ga_ls7e_ard_3-0-0_115079_2015-08-06_final
2016-08-08 10:15:44	ga_ls7e_ard_3-0-0_099077_2016-08-08_final
2017-01-17 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-01-17_final
2017-04-07 11:44:19	ga_ls7e_ard_3-0-0_113083_2017-04-07_final
2017-09-30 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-30_final
2018-02-25 11:18:20	ga_ls7e_ard_3-0-0_109082_2018-02-25_final
2018-06-08 11:19:44	ga_ls7e_ard_3-0-0_110074_2018-06-08_final
2019-10-21 10:37:09	ga_ls7e_ard_3-1-0_106068_2019-10-21_final
2020-01-30 10:53:58	ga_ls7e_ard_3-1-0_109076_2020-01-30_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-09-13 10:14:10	ga_ls7e_ard_3-2-0_109081_2021-09-13_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_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

All years