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

First 100 results (query limit)

Time (local)	Label
2000-07-01 11:08:10	ga_ls7e_ard_3-1-0_109081_2000-07-01_final
2000-09-11 10:15:22	ga_ls7e_ard_3-1-0_101075_2000-09-11_final
2000-10-28 09:28:33	ga_ls7e_ard_3-1-0_094067_2000-10-27_final
2001-06-18 09:28:46	ga_ls7e_ard_3-1-0_093085_2001-06-17_final
2002-09-13 10:39:17	ga_ls7e_ard_3-1-0_105080_2002-09-13_final
2002-10-18 09:25:59	ga_ls7e_ard_3-1-0_094067_2002-10-17_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2003-08-28 10:09:16	ga_ls7e_ard_3-1-0_100081_2003-08-28_final
2003-10-22 10:12:59	ga_ls7e_ard_3-1-0_101075_2003-10-22_final
2003-12-26 10:59:37	ga_ls7e_ard_3-1-0_108082_2003-12-26_final
2004-06-02 10:13:48	ga_ls7e_ard_3-1-0_101075_2004-06-02_final
2004-10-12 09:48:54	ga_ls7e_ard_3-1-0_097076_2004-10-12_final
2004-10-14 09:37:47	ga_ls7e_ard_3-1-0_095079_2004-10-14_final
2005-03-23 09:38:53	ga_ls7e_ard_3-1-0_095079_2005-03-23_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-06-04 09:34:09	ga_ls7e_ard_3-1-0_094083_2005-06-04_final
2005-06-26 10:34:13	ga_ls7e_ard_3-1-0_104079_2005-06-26_final
2005-07-03 10:40:48	ga_ls7e_ard_3-1-0_105080_2005-07-03_final
2005-07-11 09:49:47	ga_ls7e_ard_3-1-0_097076_2005-07-11_final
2005-08-17 10:10:13	ga_ls7e_ard_3-1-0_100081_2005-08-17_final
2006-06-13 10:31:14	ga_ls7e_ard_3-1-0_104070_2006-06-13_final
2007-07-06 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-07-06_final
2008-08-25 10:09:59	ga_ls7e_ard_3-1-0_100081_2008-08-25_final
2009-04-21 11:06:53	ga_ls7e_ard_3-1-0_109081_2009-04-21_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-11-02 11:09:03	ga_ls7e_ard_3-1-0_109081_2010-11-02_final
2011-05-26 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-26_final
2011-09-29 10:49:37	ga_ls7e_ard_3-1-0_106077_2011-09-29_final
2012-04-13 11:10:34	ga_ls7e_ard_3-1-0_109081_2012-04-13_final
2012-06-17 10:15:20	ga_ls7e_ard_3-1-0_100081_2012-06-17_final
2012-12-29 10:47:33	ga_ls7e_ard_3-1-0_105080_2012-12-29_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-11-08 11:25:26	ga_ls7e_ard_3-1-0_111082_2013-11-08_final
2014-01-13 11:13:02	ga_ls7e_ard_3-1-0_109081_2014-01-13_final
2014-04-28 09:32:15	ga_ls7e_ard_3-1-0_092090_2014-04-28_final
2014-04-29 11:49:13	ga_ls7e_ard_3-1-0_115077_2014-04-29_final
2014-09-14 10:49:03	ga_ls7e_ard_3-1-0_105080_2014-09-14_final
2015-03-17 09:59:20	ga_ls7e_ard_3-1-0_097076_2015-03-17_final
2015-03-21 11:15:32	ga_ls7e_ard_3-1-0_109081_2015-03-21_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-09-29 11:16:29	ga_ls7e_ard_3-1-0_109081_2015-09-29_final
2016-05-01 09:44:59	ga_ls7e_ard_3-1-0_094078_2016-05-01_final
2016-08-10 10:02:59	ga_ls7e_ard_3-1-0_097076_2016-08-10_final
2017-01-05 11:18:46	ga_ls7e_ard_3-1-0_109081_2017-01-05_final
2017-05-27 09:51:43	ga_ls7e_ard_3-1-0_095079_2017-05-27_final
2017-07-20 10:54:03	ga_ls7e_ard_3-1-0_105080_2017-07-20_final
2017-10-02 11:31:52	ga_ls7e_ard_3-1-0_111082_2017-10-02_final
2017-10-20 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-10-20_final
2017-12-08 10:23:20	ga_ls7e_ard_3-1-0_100081_2017-12-08_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2018-11-28 10:47:35	ga_ls7e_ard_3-1-0_105080_2018-11-28_final
2019-01-27 11:10:55	ga_ls7e_ard_3-1-0_109081_2019-01-27_final
2019-03-05 11:26:44	ga_ls7e_ard_3-1-0_112077_2019-03-05_final
2019-03-15 10:22:37	ga_ls7e_ard_3-1-0_102072_2019-03-15_final
2019-03-18 10:53:25	ga_ls7e_ard_3-1-0_107072_2019-03-18_final
2019-03-21 09:47:44	ga_ls7e_ard_3-1-0_096078_2019-03-21_final
2019-08-26 09:55:18	ga_ls7e_ard_3-1-0_098081_2019-08-26_final
2019-09-05 10:29:33	ga_ls7e_ard_3-1-0_104075_2019-09-05_final
2019-09-16 10:10:55	ga_ls7e_ard_3-1-0_101076_2019-09-16_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-20 09:46:01	ga_ls7e_ard_3-1-0_097076_2019-09-20_final
2019-10-06 09:45:21	ga_ls7e_ard_3-1-0_097076_2019-10-06_final
2019-10-08 09:32:54	ga_ls7e_ard_3-1-0_095076_2019-10-08_final
2019-10-16 10:19:37	ga_ls7e_ard_3-1-0_103070_2019-10-16_final
2019-10-19 10:53:35	ga_ls7e_ard_3-1-0_108078_2019-10-19_final
2019-11-05 09:55:37	ga_ls7e_ard_3-1-0_099074_2019-11-05_final
2019-11-13 10:46:17	ga_ls7e_ard_3-1-0_107078_2019-11-13_final
2019-11-16 11:15:51	ga_ls7e_ard_3-1-0_112075_2019-11-16_final
2019-11-16 11:17:27	ga_ls7e_ard_3-1-0_112079_2019-11-16_final
2019-12-06 10:47:47	ga_ls7e_ard_3-1-0_108069_2019-12-06_final
2019-12-10 10:23:39	ga_ls7e_ard_3-1-0_104071_2019-12-10_final
2019-12-15 09:07:27	ga_ls7e_ard_3-1-0_091082_2019-12-14_final
2019-12-22 09:13:40	ga_ls7e_ard_3-1-0_092083_2019-12-21_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-02-13 11:05:37	ga_ls7e_ard_3-1-0_111076_2020-02-13_final
2020-02-18 09:44:13	ga_ls7e_ard_3-1-0_098074_2020-02-18_final
2020-03-08 10:14:06	ga_ls7e_ard_3-1-0_103074_2020-03-08_final
2020-03-14 09:37:29	ga_ls7e_ard_3-1-0_097076_2020-03-14_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-16 09:28:13	ga_ls7e_ard_3-1-0_095084_2020-03-15_final
2020-04-06 09:44:46	ga_ls7e_ard_3-1-0_098082_2020-04-06_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2020-04-27 09:58:54	ga_ls7e_ard_3-1-0_101074_2020-04-27_final
2021-03-20 09:45:31	ga_ls7e_ard_3-2-0_102080_2021-03-20_final
2021-04-14 09:34:54	ga_ls7e_ard_3-2-0_101074_2021-04-14_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-28 09:46:52	ga_ls7e_ard_3-2-0_103076_2021-04-28_final
2021-05-03 08:28:06	ga_ls7e_ard_3-2-0_090081_2021-05-02_final
2021-06-05 10:45:28	ga_ls7e_ard_3-2-0_113076_2021-06-05_final
2021-06-06 09:49:46	ga_ls7e_ard_3-2-0_104076_2021-06-06_final
2021-06-15 09:43:15	ga_ls7e_ard_3-2-0_103077_2021-06-15_final
2021-06-23 08:52:45	ga_ls7e_ard_3-2-0_095076_2021-06-22_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-12 10:15:22	ga_ls7e_ard_3-2-0_109077_2021-08-12_final
2021-08-12 10:16:34	ga_ls7e_ard_3-2-0_109080_2021-08-12_final
2021-08-21 08:29:31	ga_ls7e_ard_3-2-0_092077_2021-08-20_final
2021-08-24 10:38:14	ga_ls7e_ard_3-2-0_113075_2021-08-24_final
2021-08-24 10:39:26	ga_ls7e_ard_3-2-0_113078_2021-08-24_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