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

89 results

Time (local)	Label
1999-07-08 09:25:01	ga_ls7e_ard_3-1-0_092083_1999-07-07_final
1999-08-26 10:06:03	ga_ls7e_ard_3-0-0_099077_1999-08-26_final
1999-10-21 09:16:08	ga_ls7e_ard_3-0-0_091076_1999-10-20_final
2000-02-02 10:02:19	ga_ls7e_ard_3-0-0_099068_2000-02-02_final
2000-05-02 09:05:35	ga_ls7e_ard_3-0-0_089082_2000-05-01_final
2000-10-06 10:09:19	ga_ls7e_ard_3-0-0_100076_2000-10-06_final
2001-03-29 10:23:25	ga_ls7e_ard_3-0-0_102081_2001-03-29_final
2001-04-17 10:49:53	ga_ls7e_ard_3-0-0_107070_2001-04-17_final
2002-03-01 11:05:05	ga_ls7e_ard_3-0-0_109080_2002-03-01_final
2002-05-01 10:32:04	ga_ls7e_ard_3-0-0_104075_2002-05-01_final
2002-12-14 11:02:22	ga_ls7e_ard_3-0-0_109075_2002-12-14_final
2003-02-11 10:44:39	ga_ls7e_ard_3-0-0_106076_2003-02-11_final
2003-09-22 10:04:07	ga_ls7e_ard_3-0-0_099084_2003-09-22_final
2003-10-12 09:32:30	ga_ls7e_ard_3-0-0_095067_2003-10-12_final
2003-12-31 11:12:36	ga_ls7e_ard_3-0-0_111068_2003-12-31_final
2004-02-29 10:02:39	ga_ls7e_ard_3-0-0_099078_2004-02-29_final
2004-04-30 09:34:58	ga_ls7e_ard_3-0-0_094086_2004-04-30_final
2004-06-19 10:56:34	ga_ls7e_ard_3-0-0_108074_2004-06-19_final
2004-11-17 11:05:52	ga_ls7e_ard_3-0-0_109082_2004-11-17_final
2004-12-31 09:48:06	ga_ls7e_ard_3-0-0_097072_2004-12-31_final
2005-02-05 11:03:38	ga_ls7e_ard_3-0-0_109075_2005-02-05_final
2005-03-13 10:39:06	ga_ls7e_ard_3-0-0_105075_2005-03-13_final
2005-04-27 10:09:16	ga_ls7e_ard_3-0-0_100078_2005-04-27_final
2005-06-26 10:35:25	ga_ls7e_ard_3-0-0_104082_2005-06-26_final
2005-11-05 10:08:41	ga_ls7e_ard_3-0-0_100077_2005-11-05_final
2006-01-02 10:44:32	ga_ls7e_ard_3-0-0_106073_2006-01-02_final
2006-10-31 11:00:52	ga_ls7e_ard_3-0-0_108083_2006-10-31_final
2006-11-11 10:39:17	ga_ls7e_ard_3-0-0_105075_2006-11-11_final
2006-11-18 09:07:27	ga_ls7e_ard_3-0-0_090077_2006-11-17_final
2007-05-22 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-05-22_final
2007-08-08 10:54:38	ga_ls7e_ard_3-0-0_107082_2007-08-08_final
2007-10-13 10:39:33	ga_ls7e_ard_3-0-0_105076_2007-10-13_final
2007-11-05 09:12:42	ga_ls7e_ard_3-0-0_090090_2007-11-04_final
2008-09-26 10:08:06	ga_ls7e_ard_3-0-0_100077_2008-09-26_final
2009-03-04 09:29:18	ga_ls7e_ard_3-0-0_093085_2009-03-03_final
2009-03-11 09:35:08	ga_ls7e_ard_3-0-0_094084_2009-03-11_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-04-09 09:03:14	ga_ls7e_ard_3-1-0_089081_2009-04-08_final
2009-04-09 10:40:07	ga_ls7e_ard_3-0-0_105076_2009-04-09_final
2009-09-17 11:22:25	ga_ls7e_ard_3-0-0_112074_2009-09-17_final
2010-02-11 10:16:09	ga_ls7e_ard_3-0-0_101074_2010-02-11_final
2010-02-13 10:01:49	ga_ls7e_ard_3-0-0_099069_2010-02-13_final
2010-03-08 10:09:00	ga_ls7e_ard_3-1-0_100071_2010-03-08_final
2010-03-29 10:32:02	ga_ls7e_ard_3-0-0_103082_2010-03-29_final
2010-07-14 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-07-14_final
2010-11-20 10:57:44	ga_ls7e_ard_3-0-0_107083_2010-11-20_final
2011-08-09 10:18:53	ga_ls7e_ard_3-0-0_101077_2011-08-09_final
2011-09-11 09:27:09	ga_ls7e_ard_3-0-0_092087_2011-09-10_final
2012-02-08 10:27:21	ga_ls7e_ard_3-0-0_102081_2012-02-08_final
2012-11-28 11:31:27	ga_ls7e_ard_3-0-0_112082_2012-11-28_final
2012-12-10 10:13:44	ga_ls7e_ard_3-0-0_100073_2012-12-10_final
2013-03-19 09:11:01	ga_ls7e_ard_3-0-0_089086_2013-03-18_final
2013-05-18 09:35:06	ga_ls7e_ard_3-0-0_093085_2013-05-18_final
2013-09-08 10:14:52	ga_ls7e_ard_3-0-0_100077_2013-09-08_final
2014-04-17 09:41:30	ga_ls7e_ard_3-0-0_095067_2014-04-17_final
2014-10-13 10:14:52	ga_ls7e_ard_3-0-0_100071_2014-10-13_final
2015-01-23 09:39:36	ga_ls7e_ard_3-0-0_094074_2015-01-23_final
2015-01-26 10:08:56	ga_ls7e_ard_3-0-0_099070_2015-01-26_final
2015-01-30 11:27:56	ga_ls7e_ard_3-1-0_111082_2015-01-30_final
2015-06-21 11:40:51	ga_ls7e_ard_3-0-0_113081_2015-06-21_final
2015-07-21 10:14:52	ga_ls7e_ard_3-0-0_099082_2015-07-21_final
2015-07-30 11:41:36	ga_ls7e_ard_3-0-0_114067_2015-07-30_final
2016-03-02 10:56:21	ga_ls7e_ard_3-0-0_106072_2016-03-02_final
2016-04-06 09:54:10	ga_ls7e_ard_3-0-0_095086_2016-04-06_final
2016-12-17 10:42:51	ga_ls7e_ard_3-0-0_104068_2016-12-17_final
2017-04-17 10:37:00	ga_ls7e_ard_3-0-0_103069_2017-04-17_final
2017-09-14 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-14_final
2018-05-26 10:09:11	ga_ls7e_ard_3-0-0_099067_2018-05-26_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2018-12-28 09:22:13	ga_ls7e_ard_3-0-0_091085_2018-12-27_final
2018-12-31 09:45:51	ga_ls7e_ard_3-0-0_096067_2018-12-31_final
2019-02-19 11:10:49	ga_ls7e_ard_3-1-0_110067_2019-02-19_final
2019-04-11 10:05:09	ga_ls7e_ard_3-0-0_099077_2019-04-11_final
2019-05-14 10:43:35	ga_ls7e_ard_3-0-0_106068_2019-05-14_final
2019-09-09 10:08:15	ga_ls7e_ard_3-1-0_100084_2019-09-09_final
2020-02-16 09:55:53	ga_ls7e_ard_3-1-0_100072_2020-02-16_final
2020-04-28 10:42:06	ga_ls7e_ard_3-1-0_108074_2020-04-28_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2020-07-24 10:43:27	ga_ls7e_ard_3-1-0_109075_2020-07-24_final
2020-07-31 10:48:24	ga_ls7e_ard_3-1-0_110073_2020-07-31_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2021-01-25 10:24:20	ga_ls7e_ard_3-2-0_108074_2021-01-25_final
2021-02-06 10:50:34	ga_ls7e_ard_3-2-0_112080_2021-02-06_final
2021-04-23 09:31:09	ga_ls7e_ard_3-2-0_100082_2021-04-23_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-09-03 09:37:58	ga_ls7e_ard_3-2-0_103081_2021-09-03_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_final
2022-03-20 10:17:21	ga_ls7e_ard_3-2-1_113072_2022-03-20_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