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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

64 results

Time (local)	Label
1999-09-15 11:18:31	ga_ls7e_ard_3-0-0_111073_1999-09-15_final
2000-04-09 10:38:24	ga_ls7e_ard_3-0-0_104082_2000-04-09_final
2001-08-17 09:48:23	ga_ls7e_ard_3-0-0_097074_2001-08-17_final
2001-10-17 10:55:48	ga_ls7e_ard_3-0-0_108074_2001-10-17_final
2002-01-21 10:56:24	ga_ls7e_ard_3-0-0_108074_2002-01-21_final
2002-03-08 11:08:50	ga_ls7e_ard_3-0-0_110074_2002-03-08_final
2002-06-05 11:02:20	ga_ls7e_ard_3-0-0_109074_2002-06-05_final
2002-11-24 09:46:56	ga_ls7e_ard_3-0-0_097072_2002-11-24_final
2003-10-18 10:37:38	ga_ls7e_ard_3-0-0_105075_2003-10-18_final
2003-10-19 09:46:25	ga_ls7e_ard_3-1-0_096086_2003-10-19_final
2004-01-21 11:30:50	ga_ls7e_ard_3-0-0_114067_2004-01-21_final
2004-02-16 10:29:33	ga_ls7e_ard_3-0-0_104068_2004-02-16_final
2004-06-20 10:02:08	ga_ls7e_ard_3-0-0_099077_2004-06-20_final
2005-03-10 10:06:36	ga_ls7e_ard_3-0-0_100071_2005-03-10_final
2005-04-03 10:57:35	ga_ls7e_ard_3-1-0_108075_2005-04-03_final
2005-08-11 10:44:56	ga_ls7e_ard_3-1-0_106075_2005-08-11_final
2005-11-27 11:08:40	ga_ls7e_ard_3-1-0_110072_2005-11-27_final
2006-01-28 09:41:46	ga_ls7e_ard_3-0-0_096070_2006-01-28_final
2006-02-27 09:57:26	ga_ls7e_ard_3-0-0_098078_2006-02-27_final
2006-12-30 09:43:12	ga_ls7e_ard_3-0-0_096073_2006-12-30_final
2007-09-02 09:12:36	ga_ls7e_ard_3-0-0_090090_2007-09-01_final
2007-11-23 10:36:12	ga_ls7e_ard_3-0-0_104082_2007-11-23_final
2008-08-13 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-08-13_final
2009-01-05 10:25:29	ga_ls7e_ard_3-0-0_103072_2009-01-05_final
2009-07-01 09:36:35	ga_ls7e_ard_3-0-0_094087_2009-07-01_final
2009-08-26 10:23:26	ga_ls7e_ard_3-1-0_102081_2009-08-26_final
2010-03-30 09:35:37	ga_ls7e_ard_3-0-0_094080_2010-03-30_final
2010-05-16 10:31:33	ga_ls7e_ard_3-0-0_103081_2010-05-16_final
2010-10-12 10:45:56	ga_ls7e_ard_3-0-0_106070_2010-10-12_final
2010-10-19 10:52:35	ga_ls7e_ard_3-0-0_107071_2010-10-19_final
2011-01-08 09:57:47	ga_ls7e_ard_3-0-0_098071_2011-01-08_final
2011-05-19 10:27:49	ga_ls7e_ard_3-0-0_103068_2011-05-19_final
2011-07-07 09:39:44	ga_ls7e_ard_3-0-0_094087_2011-07-07_final
2011-07-31 10:26:43	ga_ls7e_ard_3-0-0_102081_2011-07-31_final
2011-12-22 10:27:10	ga_ls7e_ard_3-0-0_102081_2011-12-22_final
2012-04-29 11:08:31	ga_ls7e_ard_3-0-0_109075_2012-04-29_final
2013-06-18 10:27:18	ga_ls7e_ard_3-0-0_102077_2013-06-18_final
2013-08-26 10:44:48	ga_ls7e_ard_3-0-0_105075_2013-08-26_final
2013-12-16 10:43:20	ga_ls7e_ard_3-0-0_105069_2013-12-16_final
2014-06-04 09:41:48	ga_ls7e_ard_3-0-0_095067_2014-06-04_final
2014-08-05 11:33:18	ga_ls7e_ard_3-0-0_113067_2014-08-05_final
2014-09-21 10:55:18	ga_ls7e_ard_3-0-0_106080_2014-09-21_final
2015-03-01 11:37:18	ga_ls7e_ard_3-0-0_113074_2015-03-01_final
2015-03-28 11:21:45	ga_ls7e_ard_3-0-0_110081_2015-03-28_final
2015-08-06 11:52:13	ga_ls7e_ard_3-0-0_115078_2015-08-06_final
2015-09-11 11:25:59	ga_ls7e_ard_3-0-0_111074_2015-09-11_final
2015-09-20 11:23:51	ga_ls7e_ard_3-0-0_110084_2015-09-20_final
2016-04-06 11:30:15	ga_ls7e_ard_3-0-0_111079_2016-04-06_final
2017-01-09 10:49:13	ga_ls7e_ard_3-0-0_105069_2017-01-09_final
2017-02-25 10:06:11	ga_ls7e_ard_3-0-0_098070_2017-02-25_final
2017-09-18 11:16:42	ga_ls7e_ard_3-0-0_109075_2017-09-18_final
2017-10-12 10:30:06	ga_ls7e_ard_3-0-0_101082_2017-10-12_final
2018-02-23 09:48:14	ga_ls7e_ard_3-1-0_095073_2018-02-23_final
2019-11-20 09:17:39	ga_ls7e_ard_3-1-0_092089_2019-11-19_final
2020-03-27 09:05:28	ga_ls7e_ard_3-1-0_092075_2020-03-26_final
2020-04-03 10:53:20	ga_ls7e_ard_3-1-0_109083_2020-04-03_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-07-19 08:52:19	ga_ls7e_ard_3-1-0_090090_2020-07-18_final
2020-10-08 11:00:05	ga_ls7e_ard_3-1-0_113067_2020-10-08_final
2021-07-02 10:25:06	ga_ls7e_ard_3-2-0_110077_2021-07-02_final
2021-09-21 09:24:25	ga_ls7e_ard_3-2-0_101082_2021-09-20_final
2021-09-24 09:52:15	ga_ls7e_ard_3-2-0_106075_2021-09-24_final
2022-01-25 09:21:43	ga_ls7e_ard_3-2-1_103074_2022-01-24_final
2022-03-17 09:47:56	ga_ls7e_ard_3-2-1_108075_2022-03-17_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