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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

69 results

Time (local)	Label
1999-09-27 11:45:00	ga_ls7e_ard_3-0-0_115077_1999-09-27_final
2000-01-08 10:12:08	ga_ls7e_ard_3-0-0_100077_2000-01-08_final
2000-10-19 09:37:47	ga_ls7e_ard_3-0-0_095075_2000-10-19_final
2001-03-08 09:59:52	ga_ls7e_ard_3-0-0_099068_2001-03-08_final
2001-03-29 10:23:25	ga_ls7e_ard_3-0-0_102081_2001-03-29_final
2001-04-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2001-04-25_final
2001-09-15 10:56:04	ga_ls7e_ard_3-0-0_108074_2001-09-15_final
2001-10-27 09:55:38	ga_ls7e_ard_3-0-0_098078_2001-10-27_final
2002-02-23 09:58:01	ga_ls7e_ard_3-0-0_099067_2002-02-23_final
2002-03-27 10:01:56	ga_ls7e_ard_3-0-0_099077_2002-03-27_final
2003-04-10 11:18:14	ga_ls7e_ard_3-0-0_112067_2003-04-10_final
2003-08-21 09:58:44	ga_ls7e_ard_3-0-0_099070_2003-08-21_final
2003-12-04 09:58:24	ga_ls7e_ard_3-0-0_098084_2003-12-04_final
2004-03-10 10:38:37	ga_ls7e_ard_3-0-0_105075_2004-03-10_final
2004-05-23 11:15:16	ga_ls7e_ard_3-0-0_111074_2004-05-23_final
2004-07-23 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-07-23_final
2004-09-24 09:59:20	ga_ls7e_ard_3-0-0_099071_2004-09-24_final
2004-10-11 10:44:06	ga_ls7e_ard_3-1-0_106075_2004-10-11_final
2004-12-05 10:50:54	ga_ls7e_ard_3-0-0_107075_2004-12-05_final
2005-02-28 11:11:34	ga_ls7e_ard_3-0-0_110079_2005-02-28_final
2005-05-03 09:35:24	ga_ls7e_ard_3-0-0_094086_2005-05-03_final
2005-11-05 10:09:05	ga_ls7e_ard_3-0-0_100078_2005-11-05_final
2006-01-26 09:57:18	ga_ls7e_ard_3-0-0_098078_2006-01-26_final
2006-07-02 11:03:37	ga_ls7e_ard_3-0-0_109074_2006-07-02_final
2006-09-26 10:28:54	ga_ls7e_ard_3-0-0_103081_2006-09-26_final
2007-01-12 10:51:35	ga_ls7e_ard_3-0-0_107074_2007-01-12_final
2007-10-19 10:02:57	ga_ls7e_ard_3-0-0_099077_2007-10-19_final
2007-11-20 10:00:29	ga_ls7e_ard_3-0-0_099070_2007-11-20_final
2007-12-29 10:07:39	ga_ls7e_ard_3-0-0_100072_2007-12-29_final
2008-02-02 10:40:07	ga_ls7e_ard_3-0-0_105076_2008-02-02_final
2008-08-18 10:03:03	ga_ls7e_ard_3-0-0_099079_2008-08-18_final
2008-09-03 09:58:57	ga_ls7e_ard_3-0-0_099069_2008-09-03_final
2008-11-29 10:08:37	ga_ls7e_ard_3-0-0_100077_2008-11-29_final
2009-02-10 09:59:47	ga_ls7e_ard_3-0-0_099069_2009-02-10_final
2009-04-02 10:36:17	ga_ls7e_ard_3-0-0_104082_2009-04-02_final
2009-05-05 09:36:49	ga_ls7e_ard_3-0-0_095072_2009-05-05_final
2010-04-02 10:06:07	ga_ls7e_ard_3-0-0_099079_2010-04-02_final
2010-04-18 10:05:44	ga_ls7e_ard_3-0-0_099078_2010-04-18_final
2010-05-17 09:36:43	ga_ls7e_ard_3-0-0_094083_2010-05-17_final
2011-03-31 11:25:52	ga_ls7e_ard_3-0-0_112074_2011-03-31_final
2011-07-10 10:03:03	ga_ls7e_ard_3-0-0_099068_2011-07-10_final
2011-09-28 11:45:38	ga_ls7e_ard_3-0-0_115078_2011-09-28_final
2012-09-24 09:11:38	ga_ls7e_ard_3-0-0_089089_2012-09-23_final
2013-08-11 11:24:41	ga_ls7e_ard_3-0-0_112067_2013-08-11_final
2013-08-21 10:28:36	ga_ls7e_ard_3-0-0_102081_2013-08-21_final
2013-10-19 10:09:33	ga_ls7e_ard_3-0-0_099078_2013-10-19_final
2013-12-22 10:09:53	ga_ls7e_ard_3-0-0_099078_2013-12-22_final
2014-01-19 10:36:05	ga_ls7e_ard_3-0-0_103081_2014-01-19_final
2014-04-20 10:14:03	ga_ls7e_ard_3-0-0_100071_2014-04-20_final
2014-05-14 09:30:46	ga_ls7e_ard_3-0-0_092086_2014-05-14_final
2014-07-18 10:11:03	ga_ls7e_ard_3-0-0_099078_2014-07-18_final
2014-12-19 10:45:08	ga_ls7e_ard_3-0-0_105068_2014-12-19_final
2015-02-24 11:15:56	ga_ls7e_ard_3-0-0_110067_2015-02-24_final
2015-06-19 10:15:08	ga_ls7e_ard_3-0-0_099083_2015-06-19_final
2015-08-06 10:13:20	ga_ls7e_ard_3-0-0_099078_2015-08-06_final
2016-09-25 10:12:40	ga_ls7e_ard_3-0-0_099069_2016-09-25_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2019-01-20 09:23:41	ga_ls7e_ard_3-0-0_092075_2019-01-19_final
2019-10-15 11:14:05	ga_ls7e_ard_3-1-0_112067_2019-10-15_final
2020-01-14 10:54:22	ga_ls7e_ard_3-1-0_109075_2020-01-14_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-06-15 10:39:37	ga_ls7e_ard_3-1-0_108075_2020-06-15_final
2020-07-12 08:42:35	ga_ls7e_ard_3-1-0_089080_2020-07-11_final
2020-09-18 09:50:24	ga_ls7e_ard_3-1-0_101075_2020-09-18_final
2020-09-22 11:03:53	ga_ls7e_ard_3-1-0_113074_2020-09-22_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2020-12-24 08:48:54	ga_ls7e_ard_3-1-0_092077_2020-12-23_final
2021-03-21 10:25:07	ga_ls7e_ard_3-2-0_109071_2021-03-21_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