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
2000-05-24 11:42:46	ga_ls7e_ard_3-0-0_115074_2000-05-24_final
2000-08-16 11:16:46	ga_ls7e_ard_3-0-0_111073_2000-08-16_final
2001-11-03 11:40:45	ga_ls7e_ard_3-0-0_115078_2001-11-03_final
2002-10-02 11:07:37	ga_ls7e_ard_3-0-0_110074_2002-10-02_final
2002-12-21 11:07:48	ga_ls7e_ard_3-0-0_110073_2002-12-21_final
2003-04-26 11:21:01	ga_ls7e_ard_3-0-0_112074_2003-04-26_final
2003-08-25 11:17:16	ga_ls7e_ard_3-0-0_111081_2003-08-25_final
2003-10-14 11:01:52	ga_ls7e_ard_3-0-0_109074_2003-10-14_final
2003-12-12 10:43:56	ga_ls7e_ard_3-0-0_106074_2003-12-12_final
2004-03-15 10:56:48	ga_ls7e_ard_3-0-0_108074_2004-03-15_final
2004-05-11 10:52:33	ga_ls7e_ard_3-0-0_107079_2004-05-11_final
2004-08-25 11:29:13	ga_ls7e_ard_3-0-0_113079_2004-08-25_final
2004-11-12 10:42:55	ga_ls7e_ard_3-0-0_106071_2004-11-12_final
2004-11-26 10:55:25	ga_ls7e_ard_3-0-0_108071_2004-11-26_final
2004-12-30 10:42:55	ga_ls7e_ard_3-0-0_106070_2004-12-30_final
2005-02-16 10:47:11	ga_ls7e_ard_3-0-0_106080_2005-02-16_final
2005-08-12 11:28:59	ga_ls7e_ard_3-0-0_113077_2005-08-12_final
2006-02-13 11:22:19	ga_ls7e_ard_3-0-0_112074_2006-02-13_final
2006-05-24 10:56:01	ga_ls7e_ard_3-0-0_108070_2006-05-24_final
2006-06-28 11:28:22	ga_ls7e_ard_3-0-0_113074_2006-06-28_final
2007-03-26 10:45:43	ga_ls7e_ard_3-0-0_106074_2007-03-26_final
2007-04-30 11:20:08	ga_ls7e_ard_3-0-0_111083_2007-04-30_final
2007-05-20 10:51:42	ga_ls7e_ard_3-0-0_107074_2007-05-20_final
2007-11-20 11:42:34	ga_ls7e_ard_3-0-0_115078_2007-11-20_final
2007-12-19 11:09:26	ga_ls7e_ard_3-1-0_110072_2007-12-19_final
2008-02-07 10:57:27	ga_ls7e_ard_3-0-0_108073_2008-02-07_final
2008-03-31 11:20:13	ga_ls7e_ard_3-0-0_111084_2008-03-31_final
2008-07-25 10:54:38	ga_ls7e_ard_3-0-0_107084_2008-07-25_final
2009-03-31 10:44:39	ga_ls7e_ard_3-0-0_106072_2009-03-31_final
2009-05-07 11:04:09	ga_ls7e_ard_3-0-0_109074_2009-05-07_final
2009-05-14 11:10:20	ga_ls7e_ard_3-0-0_110074_2009-05-14_final
2009-05-25 10:51:01	ga_ls7e_ard_3-0-0_107072_2009-05-25_final
2009-06-01 11:01:35	ga_ls7e_ard_3-0-0_108083_2009-06-01_final
2009-09-14 10:55:07	ga_ls7e_ard_3-0-0_107083_2009-09-14_final
2009-12-12 10:45:19	ga_ls7e_ard_3-0-0_106072_2009-12-12_final
2009-12-15 11:17:04	ga_ls7e_ard_3-0-0_111074_2009-12-15_final
2010-06-07 11:27:47	ga_ls7e_ard_3-0-0_113067_2010-06-07_final
2010-07-08 10:50:35	ga_ls7e_ard_3-0-0_106082_2010-07-08_final
2010-12-22 10:52:50	ga_ls7e_ard_3-0-0_107070_2010-12-22_final
2011-02-06 11:10:20	ga_ls7e_ard_3-0-0_109082_2011-02-06_final
2011-05-29 11:07:19	ga_ls7e_ard_3-0-0_109074_2011-05-29_final
2011-09-20 10:53:50	ga_ls7e_ard_3-0-0_107072_2011-09-20_final
2012-03-28 11:07:03	ga_ls7e_ard_3-0-0_109072_2012-03-28_final
2013-01-20 11:47:46	ga_ls7e_ard_3-0-0_115076_2013-01-20_final
2013-05-21 11:40:53	ga_ls7e_ard_3-0-0_114075_2013-05-21_final
2013-06-12 11:05:13	ga_ls7e_ard_3-0-0_108079_2013-06-12_final
2013-08-20 11:21:26	ga_ls7e_ard_3-0-0_111074_2013-08-20_final
2013-11-22 11:31:51	ga_ls7e_ard_3-0-0_113067_2013-11-22_final
2014-03-02 11:10:52	ga_ls7e_ard_3-0-0_109075_2014-03-02_final
2014-05-15 11:49:43	ga_ls7e_ard_3-0-0_115078_2014-05-15_final
2014-08-14 11:29:55	ga_ls7e_ard_3-0-0_112074_2014-08-14_final
2015-02-08 11:17:00	ga_ls7e_ard_3-0-0_110070_2015-02-08_final
2015-02-22 11:31:04	ga_ls7e_ard_3-0-0_112074_2015-02-22_final
2015-05-29 11:31:45	ga_ls7e_ard_3-1-0_112074_2015-05-29_final
2015-10-17 11:00:00	ga_ls7e_ard_3-0-0_107070_2015-10-17_final
2015-10-20 11:29:46	ga_ls7e_ard_3-0-0_112067_2015-10-20_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-05-31 11:34:45	ga_ls7e_ard_3-0-0_112074_2016-05-31_final
2016-06-06 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-06-06_final
2016-08-05 11:24:31	ga_ls7e_ard_3-0-0_110079_2016-08-05_final
2016-10-15 11:27:38	ga_ls7e_ard_3-0-0_111071_2016-10-15_final
2016-12-25 11:31:51	ga_ls7e_ard_3-0-0_112067_2016-12-25_final
2017-01-07 11:02:24	ga_ls7e_ard_3-0-0_107071_2017-01-07_final
2017-06-30 11:15:11	ga_ls7e_ard_3-0-0_109071_2017-06-30_final
2018-10-01 11:49:57	ga_ls7e_ard_3-0-0_115078_2018-10-01_final
2018-10-18 10:51:31	ga_ls7e_ard_3-0-0_106072_2018-10-18_final
2018-12-21 10:51:08	ga_ls7e_ard_3-1-0_106075_2018-12-21_final
2019-01-02 11:12:19	ga_ls7e_ard_3-0-0_110067_2019-01-02_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-05-28 10:56:36	ga_ls7e_ard_3-1-0_108071_2019-05-28_final
2019-07-16 11:40:03	ga_ls7e_ard_3-0-0_115076_2019-07-16_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2020-02-11 11:20:04	ga_ls7e_ard_3-1-0_113081_2020-02-11_final
2020-05-30 10:40:57	ga_ls7e_ard_3-1-0_108076_2020-05-30_final
2020-06-04 10:57:12	ga_ls7e_ard_3-1-0_111071_2020-06-04_final
2020-08-19 11:19:17	ga_ls7e_ard_3-1-0_115076_2020-08-19_final
2020-10-10 10:49:59	ga_ls7e_ard_3-1-0_111073_2020-10-10_final
2020-10-12 10:41:53	ga_ls7e_ard_3-1-0_109084_2020-10-12_final
2020-11-29 10:34:14	ga_ls7e_ard_3-1-0_109073_2020-11-29_final
2021-02-05 08:28:30	ga_ls7e_ard_3-2-0_089080_2021-02-04_final
2021-02-11 09:29:27	ga_ls7e_ard_3-2-0_099079_2021-02-10_final
2021-02-13 10:57:25	ga_ls7e_ard_3-2-0_113083_2021-02-13_final
2021-05-24 08:47:16	ga_ls7e_ard_3-2-0_093087_2021-05-23_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-07-08 09:49:31	ga_ls7e_ard_3-2-0_104082_2021-07-08_final
2021-07-30 09:08:56	ga_ls7e_ard_3-2-0_098078_2021-07-29_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-22 10:14:29	ga_ls7e_ard_3-2-0_110075_2021-10-22_final
2021-11-17 09:09:25	ga_ls7e_ard_3-2-1_100073_2021-11-16_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2022-01-08 10:18:09	ga_ls7e_ard_3-2-1_112072_2022-01-08_final
2022-01-17 08:32:39	ga_ls7e_ard_3-2-1_095073_2022-01-16_final
2022-01-24 08:40:09	ga_ls7e_ard_3-2-1_096078_2022-01-23_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-02-06 08:08:21	ga_ls7e_ard_3-2-1_091079_2022-02-05_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-02-14 08:58:33	ga_ls7e_ard_3-2-1_099083_2022-02-13_final
2022-03-14 09:16:09	ga_ls7e_ard_3-2-1_103072_2022-03-13_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