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

79 results

Time (local)	Label
1999-09-01 11:07:04	ga_ls7e_ard_3-0-0_109075_1999-09-01_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2001-09-09 09:53:08	ga_ls7e_ard_3-0-0_098071_2001-09-09_final
2002-07-23 11:02:47	ga_ls7e_ard_3-0-0_109076_2002-07-23_final
2003-01-10 09:10:38	ga_ls7e_ard_3-0-0_090089_2003-01-09_final
2003-04-13 10:13:02	ga_ls7e_ard_3-0-0_101074_2003-04-13_final
2003-07-26 11:02:37	ga_ls7e_ard_3-0-0_109075_2003-07-26_final
2003-08-06 10:41:10	ga_ls7e_ard_3-0-0_106068_2003-08-06_final
2003-09-29 10:07:29	ga_ls7e_ard_3-0-0_100077_2003-09-29_final
2003-10-30 11:06:08	ga_ls7e_ard_3-0-0_109084_2003-10-30_final
2003-12-28 10:43:17	ga_ls7e_ard_3-0-0_106072_2003-12-28_final
2004-02-20 10:06:01	ga_ls7e_ard_3-0-0_100071_2004-02-20_final
2004-05-14 09:43:46	ga_ls7e_ard_3-0-0_096077_2004-05-14_final
2004-05-25 11:03:41	ga_ls7e_ard_3-0-0_109076_2004-05-25_final
2004-08-28 10:22:01	ga_ls7e_ard_3-0-0_102081_2004-08-28_final
2004-11-23 10:24:52	ga_ls7e_ard_3-0-0_103072_2004-11-23_final
2004-11-24 11:08:57	ga_ls7e_ard_3-0-0_110074_2004-11-24_final
2004-12-04 10:08:02	ga_ls7e_ard_3-0-0_100076_2004-12-04_final
2005-11-20 11:03:15	ga_ls7e_ard_3-0-0_109074_2005-11-20_final
2005-12-25 09:54:13	ga_ls7e_ard_3-0-0_098071_2005-12-25_final
2006-04-08 10:42:50	ga_ls7e_ard_3-0-0_106068_2006-04-08_final
2006-09-12 10:17:26	ga_ls7e_ard_3-0-0_101083_2006-09-12_final
2007-03-10 10:43:18	ga_ls7e_ard_3-0-0_106068_2007-03-10_final
2007-07-10 11:26:28	ga_ls7e_ard_3-0-0_112084_2007-07-10_final
2007-08-09 10:00:13	ga_ls7e_ard_3-0-0_098085_2007-08-09_final
2007-10-14 11:22:02	ga_ls7e_ard_3-0-0_112074_2007-10-14_final
2008-07-03 09:47:31	ga_ls7e_ard_3-0-0_097070_2008-07-03_final
2009-02-04 10:36:48	ga_ls7e_ard_3-0-0_105069_2009-02-04_final
2009-05-02 10:44:48	ga_ls7e_ard_3-0-0_106072_2009-05-02_final
2009-08-29 10:52:44	ga_ls7e_ard_3-0-0_107077_2009-08-29_final
2009-12-12 09:08:25	ga_ls7e_ard_3-0-0_090077_2009-12-11_final
2010-04-25 10:11:54	ga_ls7e_ard_3-0-0_100078_2010-04-25_final
2010-05-21 10:44:54	ga_ls7e_ard_3-0-0_106068_2010-05-21_final
2010-11-15 10:38:44	ga_ls7e_ard_3-0-0_104082_2010-11-15_final
2011-01-30 11:00:32	ga_ls7e_ard_3-0-0_108073_2011-01-30_final
2011-03-27 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-03-27_final
2011-07-18 09:18:47	ga_ls7e_ard_3-0-0_091081_2011-07-17_final
2012-01-05 09:01:09	ga_ls7e_ard_3-0-0_088082_2012-01-04_final
2012-02-22 10:34:34	ga_ls7e_ard_3-0-0_104068_2012-02-22_final
2012-05-01 09:22:55	ga_ls7e_ard_3-0-0_091089_2012-04-30_final
2012-05-14 10:26:47	ga_ls7e_ard_3-0-0_102078_2012-05-14_final
2012-07-03 10:16:17	ga_ls7e_ard_3-0-0_100083_2012-07-03_final
2012-07-27 11:05:14	ga_ls7e_ard_3-0-0_108081_2012-07-27_final
2012-11-30 11:19:53	ga_ls7e_ard_3-0-0_110084_2012-11-30_final
2013-09-28 09:53:08	ga_ls7e_ard_3-0-0_096084_2013-09-28_final
2014-07-02 10:11:25	ga_ls7e_ard_3-0-0_099079_2014-07-02_final
2014-07-02 11:49:31	ga_ls7e_ard_3-1-0_115077_2014-07-02_final
2014-08-24 10:26:29	ga_ls7e_ard_3-0-0_102070_2014-08-24_final
2014-11-16 11:44:28	ga_ls7e_ard_3-0-0_114078_2014-11-16_final
2014-12-20 09:50:43	ga_ls7e_ard_3-0-0_096071_2014-12-20_final
2015-08-01 11:32:03	ga_ls7e_ard_3-0-0_112074_2015-08-01_final
2015-08-18 10:37:41	ga_ls7e_ard_3-0-0_103077_2015-08-18_final
2015-09-20 09:40:34	ga_ls7e_ard_3-0-0_094073_2015-09-20_final
2016-01-05 11:01:38	ga_ls7e_ard_3-0-0_107071_2016-01-05_final
2016-01-26 11:18:52	ga_ls7e_ard_3-0-0_110067_2016-01-26_final
2016-10-13 10:06:18	ga_ls7e_ard_3-0-0_097084_2016-10-13_final
2016-11-22 10:49:56	ga_ls7e_ard_3-0-0_105070_2016-11-22_final
2016-11-24 10:41:58	ga_ls7e_ard_3-0-0_103081_2016-11-24_final
2016-12-23 10:05:44	ga_ls7e_ard_3-0-0_098068_2016-12-23_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-04-01 10:41:41	ga_ls7e_ard_3-0-0_103081_2017-04-01_final
2017-06-21 11:22:32	ga_ls7e_ard_3-0-0_110074_2017-06-21_final
2017-11-07 11:02:23	ga_ls7e_ard_3-0-0_107070_2017-11-07_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-06-22 09:52:58	ga_ls7e_ard_3-0-0_096074_2018-06-22_final
2018-10-02 10:55:06	ga_ls7e_ard_3-0-0_106080_2018-10-02_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2018-11-21 10:42:23	ga_ls7e_ard_3-0-0_104082_2018-11-21_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2020-02-26 10:32:50	ga_ls7e_ard_3-1-0_106073_2020-02-26_final
2020-08-04 10:24:37	ga_ls7e_ard_3-1-0_106076_2020-08-04_final
2020-10-05 10:34:58	ga_ls7e_ard_3-1-0_108081_2020-10-05_final
2021-03-16 08:31:41	ga_ls7e_ard_3-2-0_090080_2021-03-15_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-08-24 09:00:09	ga_ls7e_ard_3-2-0_097077_2021-08-23_final
2021-10-18 09:04:17	ga_ls7e_ard_3-2-0_098084_2021-10-17_final
2022-01-31 08:42:27	ga_ls7e_ard_3-2-1_097070_2022-01-30_final
2022-02-04 10:01:47	ga_ls7e_ard_3-2-1_109084_2022-02-04_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

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