Search ga_ls7e_ard_3 whole collection

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

88 results

Time (local)	Label
1999-09-18 10:11:45	ga_ls7e_ard_3-0-0_100076_1999-09-18_final
2000-07-18 10:11:07	ga_ls7e_ard_3-0-0_100078_2000-07-18_final
2002-01-15 09:53:18	ga_ls7e_ard_3-0-0_098071_2002-01-15_final
2002-02-07 09:59:12	ga_ls7e_ard_3-0-0_099070_2002-02-07_final
2002-04-28 10:02:44	ga_ls7e_ard_3-0-0_099079_2002-04-28_final
2002-11-06 10:01:24	ga_ls7e_ard_3-0-0_099078_2002-11-06_final
2003-02-15 10:17:33	ga_ls7e_ard_3-0-0_102070_2003-02-15_final
2003-03-10 10:24:35	ga_ls7e_ard_3-0-0_103072_2003-03-10_final
2003-04-24 09:56:04	ga_ls7e_ard_3-0-0_098078_2003-04-24_final
2003-12-11 09:59:04	ga_ls7e_ard_3-0-0_099070_2003-12-11_final
2004-03-16 09:59:35	ga_ls7e_ard_3-0-0_099070_2004-03-16_final
2004-06-12 09:12:20	ga_ls7e_ard_3-0-0_091076_2004-06-11_final
2005-02-24 09:53:48	ga_ls7e_ard_3-0-0_098070_2005-02-24_final
2005-08-27 09:08:44	ga_ls7e_ard_3-0-0_090082_2005-08-26_final
2006-01-09 09:13:54	ga_ls7e_ard_3-0-0_091078_2006-01-08_final
2006-01-18 09:12:35	ga_ls7e_ard_3-0-0_090090_2006-01-17_final
2006-02-21 10:32:30	ga_ls7e_ard_3-0-0_104073_2006-02-21_final
2006-05-13 11:13:46	ga_ls7e_ard_3-0-0_111068_2006-05-13_final
2006-07-06 09:01:35	ga_ls7e_ard_3-0-0_089078_2006-07-05_final
2006-09-23 09:53:14	ga_ls7e_ard_3-0-0_098069_2006-09-23_final
2006-09-28 10:17:19	ga_ls7e_ard_3-0-0_101083_2006-09-28_final
2007-01-09 10:20:41	ga_ls7e_ard_3-0-0_102074_2007-01-09_final
2007-03-24 09:23:59	ga_ls7e_ard_3-0-0_092086_2007-03-23_final
2007-07-17 11:25:51	ga_ls7e_ard_3-0-0_113067_2007-07-17_final
2007-11-14 10:36:43	ga_ls7e_ard_3-0-0_105068_2007-11-14_final
2007-12-13 10:09:36	ga_ls7e_ard_3-0-0_100077_2007-12-13_final
2008-01-24 09:07:50	ga_ls7e_ard_3-0-0_090077_2008-01-23_final
2008-04-06 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-04-06_final
2008-06-15 10:04:03	ga_ls7e_ard_3-0-0_099080_2008-06-15_final
2008-10-10 10:17:27	ga_ls7e_ard_3-0-0_102070_2008-10-10_final
2008-11-19 11:07:31	ga_ls7e_ard_3-0-0_110070_2008-11-19_final
2008-12-31 10:08:55	ga_ls7e_ard_3-0-0_100077_2008-12-31_final
2009-01-01 09:13:18	ga_ls7e_ard_3-1-0_091077_2008-12-31_final
2009-02-06 10:25:39	ga_ls7e_ard_3-0-0_103072_2009-02-06_final
2009-03-30 10:05:46	ga_ls7e_ard_3-0-0_099083_2009-03-30_final
2009-04-15 10:00:40	ga_ls7e_ard_3-0-0_099070_2009-04-15_final
2009-07-17 09:28:33	ga_ls7e_ard_3-1-0_094067_2009-07-16_final
2009-09-01 09:47:57	ga_ls7e_ard_3-0-0_096085_2009-09-01_final
2010-01-01 10:24:33	ga_ls7e_ard_3-0-0_102081_2010-01-01_final
2010-01-17 10:25:12	ga_ls7e_ard_3-0-0_102082_2010-01-17_final
2010-03-23 11:08:41	ga_ls7e_ard_3-1-0_109081_2010-03-23_final
2010-05-18 10:15:11	ga_ls7e_ard_3-0-0_101071_2010-05-18_final
2010-05-29 09:59:28	ga_ls7e_ard_3-0-0_098078_2010-05-29_final
2010-06-18 11:10:27	ga_ls7e_ard_3-0-0_110070_2010-06-18_final
2010-07-01 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-06-30_final
2010-09-07 10:20:09	ga_ls7e_ard_3-0-0_101083_2010-09-07_final
2011-01-19 11:19:00	ga_ls7e_ard_3-0-0_111073_2011-01-19_final
2011-02-26 10:40:07	ga_ls7e_ard_3-0-0_105068_2011-02-26_final
2011-03-25 10:26:49	ga_ls7e_ard_3-0-0_102081_2011-03-25_final
2011-10-16 09:51:15	ga_ls7e_ard_3-0-0_097070_2011-10-16_final
2011-10-17 10:39:18	ga_ls7e_ard_3-0-0_104082_2011-10-17_final
2012-04-18 09:45:51	ga_ls7e_ard_3-0-0_096070_2012-04-18_final
2012-06-26 10:08:00	ga_ls7e_ard_3-0-0_099078_2012-06-26_final
2012-07-09 11:17:24	ga_ls7e_ard_3-0-0_110081_2012-07-09_final
2012-10-22 09:35:02	ga_ls7e_ard_3-0-0_093085_2012-10-22_final
2013-09-09 09:22:51	ga_ls7e_ard_3-1-0_091086_2013-09-08_final
2013-12-06 10:06:40	ga_ls7e_ard_3-0-0_099070_2013-12-06_final
2015-01-24 10:24:04	ga_ls7e_ard_3-0-0_101077_2015-01-24_final
2015-05-02 10:13:38	ga_ls7e_ard_3-0-0_099080_2015-05-02_final
2015-07-14 11:44:46	ga_ls7e_ard_3-0-0_114075_2015-07-14_final
2015-08-04 10:25:17	ga_ls7e_ard_3-0-0_101077_2015-08-04_final
2015-11-30 09:52:06	ga_ls7e_ard_3-0-0_095084_2015-11-30_final
2015-12-06 10:50:25	ga_ls7e_ard_3-0-0_105075_2015-12-06_final
2015-12-16 09:47:36	ga_ls7e_ard_3-0-0_095072_2015-12-16_final
2016-04-02 10:15:41	ga_ls7e_ard_3-0-0_099078_2016-04-02_final
2016-06-17 10:39:12	ga_ls7e_ard_3-0-0_103074_2016-06-17_final
2016-07-07 10:12:29	ga_ls7e_ard_3-0-0_099069_2016-07-07_final
2016-11-29 09:24:48	ga_ls7e_ard_3-0-0_090089_2016-11-28_final
2017-05-23 10:11:38	ga_ls7e_ard_3-0-0_099067_2017-05-23_final
2017-11-30 11:08:51	ga_ls7e_ard_3-0-0_108071_2017-11-30_final
2018-02-26 10:20:42	ga_ls7e_ard_3-0-0_100077_2018-02-26_final
2019-03-17 10:09:48	ga_ls7e_ard_3-1-0_100071_2019-03-17_final
2019-03-17 10:12:35	ga_ls7e_ard_3-1-0_100078_2019-03-17_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2019-07-05 10:17:44	ga_ls7e_ard_3-0-0_102070_2019-07-05_final
2019-10-23 10:30:17	ga_ls7e_ard_3-1-0_104082_2019-10-23_final
2019-11-04 10:49:41	ga_ls7e_ard_3-1-0_108070_2019-11-04_final
2020-03-01 10:07:54	ga_ls7e_ard_3-1-0_102073_2020-03-01_final
2020-03-16 09:23:49	ga_ls7e_ard_3-1-0_095073_2020-03-15_final
2020-04-13 09:49:45	ga_ls7e_ard_3-1-0_099080_2020-04-13_final
2020-07-17 09:03:37	ga_ls7e_ard_3-1-0_092087_2020-07-16_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2021-01-30 09:02:50	ga_ls7e_ard_3-2-0_095072_2021-01-29_final
2021-03-05 10:28:22	ga_ls7e_ard_3-2-0_109076_2021-03-05_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-05-17 08:42:05	ga_ls7e_ard_3-2-0_092088_2021-05-16_final
2021-10-18 08:58:41	ga_ls7e_ard_3-2-0_098070_2021-10-17_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_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