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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

68 results

Time (local)	Label
1999-10-01 09:37:26	ga_ls7e_ard_3-0-0_095067_1999-10-01_final
1999-11-29 11:00:19	ga_ls7e_ard_3-0-0_108074_1999-11-29_final
2000-01-18 10:45:34	ga_ls7e_ard_3-0-0_106068_2000-01-18_final
2000-07-31 09:35:35	ga_ls7e_ard_3-0-0_095067_2000-07-31_final
2000-08-11 10:58:37	ga_ls7e_ard_3-0-0_108074_2000-08-11_final
2000-08-13 10:47:04	ga_ls7e_ard_3-0-0_106076_2000-08-13_final
2001-02-27 10:09:37	ga_ls7e_ard_3-0-0_100077_2001-02-27_final
2001-05-03 10:51:50	ga_ls7e_ard_3-0-0_107075_2001-05-03_final
2001-06-20 10:51:15	ga_ls7e_ard_3-0-0_107075_2001-06-20_final
2001-11-11 10:50:14	ga_ls7e_ard_3-0-0_107075_2001-11-11_final
2001-12-31 09:00:42	ga_ls7e_ard_3-0-0_089079_2001-12-30_final
2002-10-04 10:53:16	ga_ls7e_ard_3-0-0_108069_2002-10-04_final
2002-12-25 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-12-25_final
2003-01-09 10:01:51	ga_ls7e_ard_3-0-0_099078_2003-01-09_final
2003-03-22 10:50:26	ga_ls7e_ard_3-0-0_107075_2003-03-22_final
2003-05-17 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-05-17_final
2003-08-31 10:38:09	ga_ls7e_ard_3-0-0_105076_2003-08-31_final
2003-12-16 10:17:15	ga_ls7e_ard_3-0-0_102069_2003-12-16_final
2004-05-04 10:45:09	ga_ls7e_ard_3-0-0_106076_2004-05-04_final
2004-07-21 09:22:23	ga_ls7e_ard_3-0-0_092086_2004-07-20_final
2005-01-12 10:12:29	ga_ls7e_ard_3-0-0_101071_2005-01-12_final
2005-04-05 10:45:37	ga_ls7e_ard_3-0-0_106076_2005-04-05_final
2005-04-29 09:57:19	ga_ls7e_ard_3-0-0_098079_2005-04-29_final
2005-11-18 11:15:12	ga_ls7e_ard_3-0-0_111073_2005-11-18_final
2006-04-16 09:57:44	ga_ls7e_ard_3-0-0_098079_2006-04-16_final
2006-08-29 10:03:09	ga_ls7e_ard_3-0-0_099078_2006-08-29_final
2007-01-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2007-01-24_final
2007-03-05 10:24:45	ga_ls7e_ard_3-0-0_103068_2007-03-05_final
2007-06-17 09:34:40	ga_ls7e_ard_3-0-0_095067_2007-06-17_final
2007-09-06 10:23:08	ga_ls7e_ard_3-0-0_102081_2007-09-06_final
2008-10-21 09:58:42	ga_ls7e_ard_3-0-0_099069_2008-10-21_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-07-17 11:14:13	ga_ls7e_ard_3-0-0_110084_2009-07-17_final
2009-08-10 10:23:26	ga_ls7e_ard_3-0-0_102081_2009-08-10_final
2010-05-28 09:20:59	ga_ls7e_ard_3-0-0_091090_2010-05-27_final
2010-09-04 09:42:52	ga_ls7e_ard_3-0-0_096067_2010-09-04_final
2010-12-13 10:59:45	ga_ls7e_ard_3-0-0_108072_2010-12-13_final
2011-01-06 10:12:31	ga_ls7e_ard_3-0-0_100077_2011-01-06_final
2011-02-13 09:37:39	ga_ls7e_ard_3-0-0_094082_2011-02-13_final
2011-02-21 10:22:44	ga_ls7e_ard_3-0-0_102071_2011-02-21_final
2012-02-29 10:40:44	ga_ls7e_ard_3-0-0_105068_2012-02-29_final
2012-11-05 09:40:15	ga_ls7e_ard_3-0-0_095067_2012-11-05_final
2013-01-04 10:06:06	ga_ls7e_ard_3-0-0_099069_2013-01-04_final
2013-02-25 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-02-25_final
2013-04-26 10:09:26	ga_ls7e_ard_3-0-0_099078_2013-04-26_final
2014-06-07 10:16:42	ga_ls7e_ard_3-0-0_100077_2014-06-07_final
2014-07-22 09:41:58	ga_ls7e_ard_3-0-0_095067_2014-07-22_final
2014-08-19 10:11:09	ga_ls7e_ard_3-0-0_099078_2014-08-19_final
2014-10-17 09:48:35	ga_ls7e_ard_3-0-0_096067_2014-10-17_final
2015-01-25 11:06:09	ga_ls7e_ard_3-0-0_108074_2015-01-25_final
2015-02-15 11:24:22	ga_ls7e_ard_3-0-0_111073_2015-02-15_final
2016-04-29 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-04-29_final
2016-05-18 10:30:16	ga_ls7e_ard_3-0-0_101083_2016-05-18_final
2016-08-24 10:13:23	ga_ls7e_ard_3-0-0_099071_2016-08-24_final
2016-12-25 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-12-25_final
2017-06-19 09:53:13	ga_ls7e_ard_3-0-0_096067_2017-06-19_final
2017-07-26 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-07-26_final
2018-06-05 10:52:05	ga_ls7e_ard_3-0-0_105082_2018-06-05_final
2019-02-03 11:11:18	ga_ls7e_ard_3-0-0_110067_2019-02-03_final
2019-06-30 10:02:11	ga_ls7e_ard_3-0-0_099077_2019-06-30_final
2020-04-18 10:08:24	ga_ls7e_ard_3-1-0_102081_2020-04-18_final
2020-05-31 09:46:04	ga_ls7e_ard_3-1-0_099078_2020-05-31_final
2020-06-20 09:21:47	ga_ls7e_ard_3-1-0_095082_2020-06-19_final
2021-03-15 09:23:48	ga_ls7e_ard_3-2-0_099071_2021-03-14_final
2021-08-13 09:20:03	ga_ls7e_ard_3-2-0_100078_2021-08-12_final
2021-12-06 08:02:02	ga_ls7e_ard_3-2-1_089079_2021-12-05_final
2022-01-20 09:04:51	ga_ls7e_ard_3-2-1_100077_2022-01-19_final
2022-02-18 10:06:20	ga_ls7e_ard_3-2-1_111068_2022-02-18_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