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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

82 results

Time (local)	Label
1999-09-29 09:56:58	ga_ls7e_ard_3-0-0_097085_1999-09-29_final
1999-11-12 10:20:45	ga_ls7e_ard_3-0-0_101083_1999-11-12_final
2000-01-05 09:39:14	ga_ls7e_ard_3-0-0_095072_2000-01-05_final
2000-10-28 09:28:33	ga_ls7e_ard_3-1-0_094067_2000-10-27_final
2000-12-28 09:06:33	ga_ls7e_ard_3-0-0_089089_2000-12-27_final
2001-01-31 10:26:20	ga_ls7e_ard_3-0-0_103072_2001-01-31_final
2001-11-14 11:24:20	ga_ls7e_ard_3-0-0_112083_2001-11-14_final
2003-03-07 11:30:35	ga_ls7e_ard_3-0-0_114067_2003-03-07_final
2003-08-07 09:45:57	ga_ls7e_ard_3-1-0_097069_2003-08-07_final
2003-10-03 09:44:45	ga_ls7e_ard_3-0-0_096082_2003-10-03_final
2003-10-17 11:30:03	ga_ls7e_ard_3-0-0_114067_2003-10-17_final
2004-12-26 09:27:32	ga_ls7e_ard_3-1-0_094067_2004-12-25_final
2004-12-27 10:14:48	ga_ls7e_ard_3-0-0_101077_2004-12-27_final
2004-12-31 09:51:18	ga_ls7e_ard_3-0-0_097080_2004-12-31_final
2005-01-30 10:00:34	ga_ls7e_ard_3-0-0_099072_2005-01-30_final
2005-03-16 09:27:56	ga_ls7e_ard_3-1-0_094067_2005-03-15_final
2005-04-01 09:27:53	ga_ls7e_ard_3-1-0_094067_2005-03-31_final
2005-04-13 09:56:31	ga_ls7e_ard_3-0-0_098077_2005-04-13_final
2005-05-19 09:33:49	ga_ls7e_ard_3-0-0_094082_2005-05-19_final
2005-08-09 09:23:13	ga_ls7e_ard_3-0-0_092087_2005-08-08_final
2006-03-10 09:34:31	ga_ls7e_ard_3-0-0_095067_2006-03-10_final
2006-04-02 11:25:55	ga_ls7e_ard_3-0-0_112083_2006-04-02_final
2006-12-21 09:47:46	ga_ls7e_ard_3-0-0_097069_2006-12-21_final
2007-04-27 10:47:39	ga_ls7e_ard_3-0-0_106079_2007-04-27_final
2007-05-12 09:59:55	ga_ls7e_ard_3-0-0_099068_2007-05-12_final
2007-09-14 09:34:50	ga_ls7e_ard_3-0-0_094084_2007-09-14_final
2007-10-07 09:41:40	ga_ls7e_ard_3-0-0_095086_2007-10-07_final
2007-11-30 10:42:49	ga_ls7e_ard_3-1-0_105083_2007-11-30_final
2008-02-05 09:28:33	ga_ls7e_ard_3-1-0_094067_2008-02-04_final
2008-03-27 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-03-27_final
2008-04-25 09:28:19	ga_ls7e_ard_3-1-0_094067_2008-04-24_final
2008-05-24 09:04:27	ga_ls7e_ard_3-0-0_089085_2008-05-23_final
2009-01-17 10:49:53	ga_ls7e_ard_3-0-0_107071_2009-01-17_final
2009-04-03 11:15:58	ga_ls7e_ard_3-0-0_111073_2009-04-03_final
2009-06-12 10:41:50	ga_ls7e_ard_3-1-0_105080_2009-06-12_final
2009-11-09 11:43:20	ga_ls7e_ard_3-0-0_115079_2009-11-09_final
2009-12-06 09:45:49	ga_ls7e_ard_3-0-0_096078_2009-12-06_final
2010-01-09 09:29:39	ga_ls7e_ard_3-1-0_094067_2010-01-08_final
2010-01-10 10:16:31	ga_ls7e_ard_3-0-0_101076_2010-01-10_final
2010-01-31 10:37:45	ga_ls7e_ard_3-0-0_104082_2010-01-31_final
2010-02-06 11:33:39	ga_ls7e_ard_3-0-0_114067_2010-02-06_final
2011-03-03 11:03:52	ga_ls7e_ard_3-0-0_108081_2011-03-03_final
2011-05-18 09:44:09	ga_ls7e_ard_3-0-0_096067_2011-05-18_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2012-10-13 09:33:55	ga_ls7e_ard_3-1-0_094067_2012-10-13_final
2012-12-19 10:06:50	ga_ls7e_ard_3-0-0_099071_2012-12-19_final
2013-06-26 11:17:29	ga_ls7e_ard_3-0-0_110079_2013-06-26_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2013-10-16 09:34:14	ga_ls7e_ard_3-1-0_094067_2013-10-16_final
2013-12-15 10:06:28	ga_ls7e_ard_3-0-0_098085_2013-12-15_final
2013-12-17 11:32:34	ga_ls7e_ard_3-1-0_112084_2013-12-17_final
2014-03-23 09:54:17	ga_ls7e_ard_3-0-0_096084_2014-03-23_final
2014-03-25 09:35:09	ga_ls7e_ard_3-1-0_094067_2014-03-25_final
2015-05-26 11:03:37	ga_ls7e_ard_3-0-0_107081_2015-05-26_final
2015-08-06 11:52:37	ga_ls7e_ard_3-0-0_115079_2015-08-06_final
2016-05-15 09:59:22	ga_ls7e_ard_3-0-0_096083_2016-05-15_final
2016-05-30 09:17:24	ga_ls7e_ard_3-0-0_089086_2016-05-29_final
2016-11-25 11:20:50	ga_ls7e_ard_3-0-0_110070_2016-11-25_final
2017-01-10 09:54:23	ga_ls7e_ard_3-0-0_096071_2017-01-10_final
2017-07-05 11:38:31	ga_ls7e_ard_3-0-0_112083_2017-07-05_final
2017-08-26 11:09:22	ga_ls7e_ard_3-0-0_108072_2017-08-26_final
2017-11-04 10:35:29	ga_ls7e_ard_3-0-0_102080_2017-11-04_final
2017-11-08 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-11-08_final
2018-03-14 10:20:31	ga_ls7e_ard_3-0-0_100077_2018-03-14_final
2018-03-19 10:35:24	ga_ls7e_ard_3-0-0_103068_2018-03-19_final
2018-04-10 09:58:24	ga_ls7e_ard_3-0-0_097069_2018-04-10_final
2018-05-19 11:45:59	ga_ls7e_ard_3-0-0_114077_2018-05-19_final
2018-10-30 09:35:06	ga_ls7e_ard_3-1-0_094067_2018-10-30_final
2018-12-29 10:04:15	ga_ls7e_ard_3-0-0_098082_2018-12-29_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-05-09 10:28:49	ga_ls7e_ard_3-0-0_103077_2019-05-09_final
2020-02-21 10:17:21	ga_ls7e_ard_3-1-0_103080_2020-02-21_final
2020-06-02 11:10:52	ga_ls7e_ard_3-1-0_113074_2020-06-02_final
2020-10-15 11:05:49	ga_ls7e_ard_3-1-0_114067_2020-10-15_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-09 09:28:13	ga_ls7e_ard_3-2-0_100078_2021-05-08_final
2021-05-31 08:44:52	ga_ls7e_ard_3-2-0_094067_2021-05-30_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-10-13 08:46:11	ga_ls7e_ard_3-2-0_095084_2021-10-12_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2022-02-08 07:58:35	ga_ls7e_ard_3-2-1_089086_2022-02-07_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

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