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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
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2000-10-06 10:09:43	ga_ls7e_ard_3-0-0_100077_2000-10-06_final
2002-04-20 09:16:03	ga_ls7e_ard_3-1-0_091086_2002-04-19_final
2002-06-16 10:44:06	ga_ls7e_ard_3-1-0_106075_2002-06-16_final
2002-06-20 10:21:45	ga_ls7e_ard_3-0-0_102081_2002-06-20_final
2002-09-26 10:07:04	ga_ls7e_ard_3-0-0_100077_2002-09-26_final
2002-12-25 10:43:31	ga_ls7e_ard_3-0-0_106074_2002-12-25_final
2003-11-03 10:38:12	ga_ls7e_ard_3-0-0_105076_2003-11-03_final
2003-12-20 09:52:34	ga_ls7e_ard_3-0-0_098069_2003-12-20_final
2004-01-18 11:03:30	ga_ls7e_ard_3-0-0_109076_2004-01-18_final
2004-03-24 10:51:03	ga_ls7e_ard_3-0-0_107075_2004-03-24_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-10-25 10:54:19	ga_ls7e_ard_3-0-0_108069_2004-10-25_final
2005-02-07 10:51:18	ga_ls7e_ard_3-0-0_107075_2005-02-07_final
2005-02-10 09:40:09	ga_ls7e_ard_3-0-0_096067_2005-02-10_final
2005-02-24 09:56:36	ga_ls7e_ard_3-0-0_098077_2005-02-24_final
2005-03-25 11:04:12	ga_ls7e_ard_3-0-0_109076_2005-03-25_final
2005-05-05 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-05_final
2005-05-12 11:05:44	ga_ls7e_ard_3-0-0_109080_2005-05-12_final
2005-07-15 11:03:33	ga_ls7e_ard_3-0-0_109075_2005-07-15_final
2005-08-21 09:39:53	ga_ls7e_ard_3-0-0_096067_2005-08-21_final
2006-01-12 09:40:27	ga_ls7e_ard_3-0-0_096067_2006-01-12_final
2006-01-18 09:09:00	ga_ls7e_ard_3-0-0_090081_2006-01-17_final
2006-01-24 10:09:15	ga_ls7e_ard_3-0-0_100077_2006-01-24_final
2006-05-25 09:59:36	ga_ls7e_ard_3-0-0_099068_2006-05-25_final
2007-01-09 10:23:28	ga_ls7e_ard_3-0-0_102081_2007-01-09_final
2007-01-26 09:22:20	ga_ls7e_ard_3-0-0_093067_2007-01-25_final
2007-02-26 10:23:44	ga_ls7e_ard_3-0-0_102081_2007-02-26_final
2007-03-05 10:24:45	ga_ls7e_ard_3-0-0_103068_2007-03-05_final
2007-08-18 09:53:34	ga_ls7e_ard_3-0-0_097084_2007-08-18_final
2007-10-30 09:40:33	ga_ls7e_ard_3-0-0_096067_2007-10-30_final
2007-11-04 10:00:44	ga_ls7e_ard_3-0-0_099071_2007-11-04_final
2008-07-19 09:46:55	ga_ls7e_ard_3-0-0_097069_2008-07-19_final
2008-07-24 10:08:35	ga_ls7e_ard_3-0-0_100077_2008-07-24_final
2009-01-18 09:54:39	ga_ls7e_ard_3-0-0_098072_2009-01-18_final
2009-05-11 10:40:14	ga_ls7e_ard_3-0-0_105076_2009-05-11_final
2009-05-28 09:41:02	ga_ls7e_ard_3-0-0_096067_2009-05-28_final
2009-06-22 09:36:49	ga_ls7e_ard_3-0-0_095072_2009-06-22_final
2009-07-27 10:09:34	ga_ls7e_ard_3-0-0_100077_2009-07-27_final
2009-09-16 10:39:57	ga_ls7e_ard_3-0-0_105076_2009-09-16_final
2009-12-22 09:41:42	ga_ls7e_ard_3-0-0_096067_2009-12-22_final
2010-03-18 10:44:56	ga_ls7e_ard_3-0-0_106068_2010-03-18_final
2010-06-09 09:36:33	ga_ls7e_ard_3-0-0_095067_2010-06-09_final
2010-07-17 09:08:20	ga_ls7e_ard_3-0-0_089089_2010-07-16_final
2011-02-11 09:44:01	ga_ls7e_ard_3-0-0_096067_2011-02-11_final
2011-11-26 11:29:57	ga_ls7e_ard_3-0-0_112084_2011-11-26_final
2012-03-16 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-15_final
2012-05-06 11:11:41	ga_ls7e_ard_3-0-0_110067_2012-05-06_final
2013-07-15 10:10:54	ga_ls7e_ard_3-0-0_099083_2013-07-15_final
2013-12-06 10:05:28	ga_ls7e_ard_3-0-0_099067_2013-12-06_final
2015-02-24 11:15:56	ga_ls7e_ard_3-0-0_110067_2015-02-24_final
2015-06-21 11:41:39	ga_ls7e_ard_3-0-0_113083_2015-06-21_final
2016-11-07 09:53:12	ga_ls7e_ard_3-0-0_096067_2016-11-07_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2017-06-30 11:16:46	ga_ls7e_ard_3-0-0_109075_2017-06-30_final
2018-06-13 10:02:06	ga_ls7e_ard_3-0-0_097081_2018-06-13_final
2018-10-22 10:30:18	ga_ls7e_ard_3-1-0_102081_2018-10-22_final
2019-03-19 09:56:58	ga_ls7e_ard_3-1-0_098070_2019-03-19_final
2019-05-15 11:32:47	ga_ls7e_ard_3-0-0_113083_2019-05-15_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2019-10-24 09:28:38	ga_ls7e_ard_3-1-0_095067_2019-10-23_final
2021-09-14 09:16:52	ga_ls7e_ard_3-2-0_100077_2021-09-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years