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
1999-12-20 09:39:20	ga_ls7e_ard_3-0-0_095072_1999-12-20_final
2002-01-23 10:43:15	ga_ls7e_ard_3-1-0_106072_2002-01-23_final
2002-07-21 11:13:58	ga_ls7e_ard_3-0-0_111073_2002-07-21_final
2002-09-07 11:13:40	ga_ls7e_ard_3-0-0_111073_2002-09-07_final
2002-11-14 10:47:41	ga_ls7e_ard_3-0-0_107070_2002-11-14_final
2003-01-26 10:41:41	ga_ls7e_ard_3-0-0_106069_2003-01-26_final
2003-02-26 11:39:51	ga_ls7e_ard_3-0-0_115075_2003-02-26_final
2003-10-19 11:23:19	ga_ls7e_ard_3-0-0_112081_2003-10-19_final
2003-12-12 10:43:32	ga_ls7e_ard_3-0-0_106073_2003-12-12_final
2004-03-18 11:24:55	ga_ls7e_ard_3-0-0_113067_2004-03-18_final
2004-05-23 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-23_final
2004-07-03 11:08:55	ga_ls7e_ard_3-1-0_110074_2004-07-03_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2005-01-18 09:36:12	ga_ls7e_ard_3-1-0_095073_2005-01-18_final
2005-02-05 11:01:38	ga_ls7e_ard_3-0-0_109070_2005-02-05_final
2005-06-07 11:40:43	ga_ls7e_ard_3-0-0_115075_2005-06-07_final
2005-08-28 11:30:52	ga_ls7e_ard_3-0-0_113082_2005-08-28_final
2005-09-30 08:56:12	ga_ls7e_ard_3-0-0_088082_2005-09-29_final
2005-11-18 11:15:12	ga_ls7e_ard_3-0-0_111073_2005-11-18_final
2006-03-26 11:17:22	ga_ls7e_ard_3-0-0_111077_2006-03-26_final
2006-07-28 11:40:54	ga_ls7e_ard_3-0-0_115075_2006-07-28_final
2006-07-28 11:42:06	ga_ls7e_ard_3-0-0_115078_2006-07-28_final
2006-08-01 09:36:06	ga_ls7e_ard_3-0-0_095072_2006-08-01_final
2006-09-02 09:36:01	ga_ls7e_ard_3-0-0_095072_2006-09-02_final
2006-09-30 11:40:38	ga_ls7e_ard_3-0-0_115075_2006-09-30_final
2007-01-04 11:41:25	ga_ls7e_ard_3-0-0_115075_2007-01-04_final
2007-01-08 11:15:30	ga_ls7e_ard_3-0-0_111072_2007-01-08_final
2007-01-19 10:56:35	ga_ls7e_ard_3-0-0_108071_2007-01-19_final
2007-01-24 11:15:58	ga_ls7e_ard_3-0-0_111073_2007-01-24_final
2007-04-30 11:15:45	ga_ls7e_ard_3-0-0_111072_2007-04-30_final
2007-06-10 11:08:34	ga_ls7e_ard_3-0-0_110070_2007-06-10_final
2008-01-13 11:02:53	ga_ls7e_ard_3-0-0_109071_2008-01-13_final
2008-03-12 10:42:55	ga_ls7e_ard_3-0-0_106068_2008-03-12_final
2008-07-05 11:15:36	ga_ls7e_ard_3-0-0_111074_2008-07-05_final
2009-02-26 11:42:49	ga_ls7e_ard_3-0-0_115079_2009-02-26_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-04-03 11:15:58	ga_ls7e_ard_3-0-0_111073_2009-04-03_final
2009-11-10 10:44:08	ga_ls7e_ard_3-0-0_106070_2009-11-10_final
2009-12-24 11:15:03	ga_ls7e_ard_3-0-0_110084_2009-12-24_final
2010-07-02 11:24:28	ga_ls7e_ard_3-0-0_112074_2010-07-02_final
2010-09-13 09:39:53	ga_ls7e_ard_3-0-0_095075_2010-09-13_final
2010-10-12 10:45:08	ga_ls7e_ard_3-0-0_106068_2010-10-12_final
2011-02-17 10:48:14	ga_ls7e_ard_3-0-0_106073_2011-02-17_final
2011-04-29 10:56:11	ga_ls7e_ard_3-0-0_107077_2011-04-29_final
2012-01-04 11:35:15	ga_ls7e_ard_3-0-0_113081_2012-01-04_final
2012-01-20 11:32:27	ga_ls7e_ard_3-0-0_113074_2012-01-20_final
2012-01-21 09:01:08	ga_ls7e_ard_3-0-0_088082_2012-01-20_final
2012-02-04 10:46:52	ga_ls7e_ard_3-0-0_106068_2012-02-04_final
2013-02-14 11:38:02	ga_ls7e_ard_3-0-0_114067_2013-02-14_final
2013-04-11 10:49:13	ga_ls7e_ard_3-0-0_106069_2013-04-11_final
2014-07-01 11:03:27	ga_ls7e_ard_3-0-0_108070_2014-07-01_final
2014-09-03 11:05:59	ga_ls7e_ard_3-0-0_108076_2014-09-03_final
2015-07-07 11:41:44	ga_ls7e_ard_3-0-0_113083_2015-07-07_final
2016-09-13 09:49:07	ga_ls7e_ard_3-0-0_095072_2016-09-13_final
2016-12-02 09:52:54	ga_ls7e_ard_3-0-0_095082_2016-12-02_final
2016-12-13 11:09:36	ga_ls7e_ard_3-0-0_108073_2016-12-13_final
2017-01-28 11:20:44	ga_ls7e_ard_3-0-0_110071_2017-01-28_final
2017-09-29 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-09-29_final
2017-12-18 10:55:08	ga_ls7e_ard_3-0-0_106068_2017-12-18_final
2018-01-19 10:54:42	ga_ls7e_ard_3-0-0_106068_2018-01-19_final
2018-03-11 11:26:09	ga_ls7e_ard_3-0-0_111071_2018-03-11_final
2018-03-24 10:53:52	ga_ls7e_ard_3-0-0_106068_2018-03-24_final
2018-03-31 11:01:09	ga_ls7e_ard_3-0-0_107071_2018-03-31_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-07-17 11:25:35	ga_ls7e_ard_3-0-0_111075_2018-07-17_final
2018-08-02 11:23:42	ga_ls7e_ard_3-0-0_111071_2018-08-02_final
2018-08-18 11:23:24	ga_ls7e_ard_3-0-0_111071_2018-08-18_final
2018-09-03 11:23:04	ga_ls7e_ard_3-0-0_111071_2018-09-03_final
2018-09-14 11:03:54	ga_ls7e_ard_3-0-0_108070_2018-09-14_final
2018-09-16 10:50:41	ga_ls7e_ard_3-0-0_106068_2018-09-16_final
2018-11-22 11:20:02	ga_ls7e_ard_3-0-0_111068_2018-11-22_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-06-29 10:57:02	ga_ls7e_ard_3-1-0_108075_2019-06-29_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2019-12-27 11:06:51	ga_ls7e_ard_3-1-0_111073_2019-12-27_final
2020-04-03 10:49:44	ga_ls7e_ard_3-1-0_109074_2020-04-03_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-08-04 10:21:26	ga_ls7e_ard_3-1-0_106068_2020-08-04_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2021-02-10 10:27:09	ga_ls7e_ard_3-2-0_108084_2021-02-10_final
2021-02-17 10:27:37	ga_ls7e_ard_3-2-0_109071_2021-02-17_final
2021-02-27 09:23:51	ga_ls7e_ard_3-2-0_099068_2021-02-26_final
2021-03-12 10:36:24	ga_ls7e_ard_3-2-0_110082_2021-03-12_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-05-03 10:01:48	ga_ls7e_ard_3-2-0_106068_2021-05-03_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-06-07 08:58:27	ga_ls7e_ard_3-2-0_095087_2021-06-06_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-07-28 09:18:41	ga_ls7e_ard_3-2-0_100071_2021-07-27_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-10-18 10:36:22	ga_ls7e_ard_3-2-0_114067_2021-10-18_final
2021-10-31 10:07:28	ga_ls7e_ard_3-2-0_109075_2021-10-31_final
2021-12-07 08:41:36	ga_ls7e_ard_3-2-1_096070_2021-12-06_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-01-13 09:00:32	ga_ls7e_ard_3-2-1_099080_2022-01-12_final
2022-01-23 07:56:59	ga_ls7e_ard_3-2-1_089078_2022-01-22_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_final
2022-03-22 10:04:24	ga_ls7e_ard_3-2-1_111071_2022-03-22_final
2022-04-04 07:54:58	ga_ls7e_ard_3-2-1_090075_2022-04-03_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