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

90 results

Time (local)	Label
1999-07-09 10:05:54	ga_ls7e_ard_3-0-0_099077_1999-07-09_final
2000-02-18 10:02:13	ga_ls7e_ard_3-0-0_099068_2000-02-18_final
2001-03-09 09:12:13	ga_ls7e_ard_3-0-0_090088_2001-03-08_final
2001-03-20 10:26:03	ga_ls7e_ard_3-0-0_103072_2001-03-20_final
2002-01-22 09:58:47	ga_ls7e_ard_3-0-0_099069_2002-01-22_final
2002-12-02 10:37:39	ga_ls7e_ard_3-0-0_105075_2002-12-02_final
2002-12-24 11:40:20	ga_ls7e_ard_3-1-0_115077_2002-12-24_final
2003-10-02 10:37:35	ga_ls7e_ard_3-0-0_105075_2003-10-02_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2004-01-12 11:40:55	ga_ls7e_ard_3-1-0_115077_2004-01-12_final
2004-02-09 10:28:33	ga_ls7e_ard_3-0-0_103081_2004-02-09_final
2004-04-02 09:06:46	ga_ls7e_ard_3-0-0_090077_2004-04-01_final
2004-06-29 09:58:21	ga_ls7e_ard_3-0-0_098083_2004-06-29_final
2004-09-16 10:50:23	ga_ls7e_ard_3-0-0_107075_2004-09-16_final
2004-12-01 09:33:31	ga_ls7e_ard_3-0-0_095067_2004-12-01_final
2005-05-03 11:12:41	ga_ls7e_ard_3-0-0_110082_2005-05-03_final
2005-05-06 11:41:37	ga_ls7e_ard_3-1-0_115077_2005-05-06_final
2005-05-31 09:56:30	ga_ls7e_ard_3-0-0_098077_2005-05-31_final
2005-09-27 10:02:35	ga_ls7e_ard_3-0-0_099078_2005-09-27_final
2005-11-14 11:41:29	ga_ls7e_ard_3-0-0_115077_2005-11-14_final
2006-02-10 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-02-09_final
2006-02-21 10:32:30	ga_ls7e_ard_3-0-0_104073_2006-02-21_final
2006-05-02 09:54:36	ga_ls7e_ard_3-0-0_098071_2006-05-02_final
2006-05-18 09:57:24	ga_ls7e_ard_3-0-0_098078_2006-05-18_final
2006-07-11 09:24:04	ga_ls7e_ard_3-0-0_092088_2006-07-10_final
2006-12-07 09:34:32	ga_ls7e_ard_3-0-0_095067_2006-12-07_final
2007-06-17 11:13:33	ga_ls7e_ard_3-0-0_111067_2007-06-17_final
2007-09-06 10:17:56	ga_ls7e_ard_3-0-0_102068_2007-09-06_final
2008-03-05 09:02:17	ga_ls7e_ard_3-0-0_089079_2008-03-04_final
2008-11-26 11:14:35	ga_ls7e_ard_3-0-0_111072_2008-11-26_final
2008-12-24 11:42:22	ga_ls7e_ard_3-0-0_115079_2008-12-24_final
2009-01-29 09:34:10	ga_ls7e_ard_3-0-0_095067_2009-01-29_final
2009-02-22 10:25:49	ga_ls7e_ard_3-0-0_103072_2009-02-22_final
2009-02-28 09:48:24	ga_ls7e_ard_3-0-0_097071_2009-02-28_final
2009-04-03 11:15:58	ga_ls7e_ard_3-0-0_111073_2009-04-03_final
2009-10-24 10:01:01	ga_ls7e_ard_3-0-0_099071_2009-10-24_final
2009-12-15 09:35:24	ga_ls7e_ard_3-0-0_095067_2009-12-15_final
2010-06-21 11:44:34	ga_ls7e_ard_3-0-0_115078_2010-06-21_final
2010-11-28 10:03:36	ga_ls7e_ard_3-0-0_099071_2010-11-28_final
2011-02-04 09:37:49	ga_ls7e_ard_3-0-0_095067_2011-02-04_final
2011-02-10 10:42:02	ga_ls7e_ard_3-0-0_105073_2011-02-10_final
2011-03-21 10:47:32	ga_ls7e_ard_3-0-0_106071_2011-03-21_final
2011-05-26 10:37:13	ga_ls7e_ard_3-0-0_104076_2011-05-26_final
2011-12-14 11:12:05	ga_ls7e_ard_3-0-0_110070_2011-12-14_final
2012-02-22 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-02-21_final
2012-06-12 11:30:02	ga_ls7e_ard_3-0-0_113067_2012-06-12_final
2012-10-21 10:29:03	ga_ls7e_ard_3-0-0_102081_2012-10-21_final
2012-10-23 10:15:07	ga_ls7e_ard_3-0-0_100077_2012-10-23_final
2013-04-18 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-04-17_final
2013-05-05 09:58:51	ga_ls7e_ard_3-0-0_098067_2013-05-05_final
2013-05-07 09:46:29	ga_ls7e_ard_3-0-0_096067_2013-05-07_final
2013-06-15 11:31:19	ga_ls7e_ard_3-0-0_113067_2013-06-15_final
2014-01-20 11:14:59	ga_ls7e_ard_3-0-0_110070_2014-01-20_final
2014-07-27 10:04:57	ga_ls7e_ard_3-0-0_098078_2014-07-27_final
2014-09-21 10:50:31	ga_ls7e_ard_3-0-0_106068_2014-09-21_final
2014-12-20 11:34:47	ga_ls7e_ard_3-0-0_112084_2014-12-20_final
2014-12-25 10:08:51	ga_ls7e_ard_3-0-0_099070_2014-12-25_final
2015-01-23 11:16:53	ga_ls7e_ard_3-0-0_110070_2015-01-23_final
2015-01-30 09:43:04	ga_ls7e_ard_3-0-0_095067_2015-01-30_final
2015-02-28 10:54:26	ga_ls7e_ard_3-1-0_106075_2015-02-28_final
2015-03-01 11:37:18	ga_ls7e_ard_3-0-0_113074_2015-03-01_final
2015-09-17 09:14:27	ga_ls7e_ard_3-0-0_089085_2015-09-16_final
2016-02-22 09:25:09	ga_ls7e_ard_3-0-0_091076_2016-02-21_final
2016-06-09 09:46:57	ga_ls7e_ard_3-0-0_095067_2016-06-09_final
2016-11-01 10:35:55	ga_ls7e_ard_3-0-0_102081_2016-11-01_final
2016-11-08 10:36:51	ga_ls7e_ard_3-0-0_103068_2016-11-08_final
2017-05-24 10:55:18	ga_ls7e_ard_3-0-0_106068_2017-05-24_final
2017-09-16 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-09-16_final
2017-11-03 09:49:02	ga_ls7e_ard_3-0-0_095072_2017-11-03_final
2018-02-19 10:15:24	ga_ls7e_ard_3-0-0_099079_2018-02-19_final
2018-03-27 09:45:27	ga_ls7e_ard_3-0-0_095067_2018-03-27_final
2018-04-09 10:56:26	ga_ls7e_ard_3-1-0_106075_2018-04-09_final
2018-06-28 09:19:21	ga_ls7e_ard_3-0-0_090083_2018-06-27_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2019-01-31 10:43:16	ga_ls7e_ard_3-0-0_105074_2019-01-31_final
2019-02-06 10:07:37	ga_ls7e_ard_3-0-0_099078_2019-02-06_final
2019-03-19 10:02:33	ga_ls7e_ard_3-1-0_098084_2019-03-19_final
2019-05-28 09:22:55	ga_ls7e_ard_3-0-0_092084_2019-05-27_final
2020-02-09 09:48:28	ga_ls7e_ard_3-1-0_099068_2020-02-09_final
2020-04-12 10:43:26	ga_ls7e_ard_3-1-0_108075_2020-04-12_final
2020-08-21 11:06:00	ga_ls7e_ard_3-1-0_113074_2020-08-21_final
2020-10-06 09:40:05	ga_ls7e_ard_3-1-0_099083_2020-10-06_final
2020-12-19 10:08:25	ga_ls7e_ard_3-1-0_105074_2020-12-19_final
2021-01-18 08:45:46	ga_ls7e_ard_3-1-0_091089_2021-01-17_final
2021-02-03 08:44:36	ga_ls7e_ard_3-2-0_091089_2021-02-02_final
2021-06-03 09:20:18	ga_ls7e_ard_3-2-0_099079_2021-06-02_final
2021-07-13 08:30:45	ga_ls7e_ard_3-2-0_091087_2021-07-12_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-14 08:56:09	ga_ls7e_ard_3-2-1_099077_2022-02-13_final
2022-03-02 08:51:25	ga_ls7e_ard_3-2-1_099069_2022-03-01_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