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

86 results

Time (local)	Label
2000-07-25 10:17:06	ga_ls7e_ard_3-0-0_101078_2000-07-25_final
2000-09-01 09:35:17	ga_ls7e_ard_3-0-0_095067_2000-09-01_final
2001-01-14 09:47:51	ga_ls7e_ard_3-0-0_096084_2001-01-14_final
2001-07-05 10:08:16	ga_ls7e_ard_3-0-0_100076_2001-07-05_final
2002-01-16 09:00:28	ga_ls7e_ard_3-0-0_089078_2002-01-15_final
2003-01-17 10:50:13	ga_ls7e_ard_3-0-0_107075_2003-01-17_final
2003-08-11 09:27:14	ga_ls7e_ard_3-0-0_093084_2003-08-10_final
2004-01-13 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-01-13_final
2004-04-09 10:50:59	ga_ls7e_ard_3-0-0_107075_2004-04-09_final
2004-05-22 10:34:24	ga_ls7e_ard_3-0-0_104080_2004-05-22_final
2004-06-17 11:06:08	ga_ls7e_ard_3-0-0_110067_2004-06-17_final
2004-07-05 10:54:33	ga_ls7e_ard_3-0-0_108069_2004-07-05_final
2004-09-23 10:54:10	ga_ls7e_ard_3-0-0_108069_2004-09-23_final
2004-12-25 10:23:57	ga_ls7e_ard_3-0-0_103069_2004-12-25_final
2005-02-06 10:07:13	ga_ls7e_ard_3-0-0_100073_2005-02-06_final
2005-02-14 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-02-14_final
2005-05-03 11:09:30	ga_ls7e_ard_3-0-0_110074_2005-05-03_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-06-22 09:21:16	ga_ls7e_ard_3-0-0_092082_2005-06-21_final
2005-06-29 11:04:43	ga_ls7e_ard_3-0-0_109078_2005-06-29_final
2005-07-23 10:16:54	ga_ls7e_ard_3-0-0_101082_2005-07-23_final
2005-08-01 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-08-01_final
2005-08-24 10:17:09	ga_ls7e_ard_3-0-0_101083_2005-08-24_final
2005-10-24 09:39:50	ga_ls7e_ard_3-0-0_096067_2005-10-24_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2006-08-28 10:55:11	ga_ls7e_ard_3-0-0_108069_2006-08-28_final
2007-02-06 10:43:58	ga_ls7e_ard_3-0-0_106070_2007-02-06_final
2007-03-26 10:46:07	ga_ls7e_ard_3-1-0_106075_2007-03-26_final
2007-11-12 10:54:39	ga_ls7e_ard_3-0-0_107082_2007-11-12_final
2008-01-10 10:36:22	ga_ls7e_ard_3-0-0_104082_2008-01-10_final
2008-01-11 11:20:26	ga_ls7e_ard_3-0-0_111084_2008-01-11_final
2008-03-12 09:07:37	ga_ls7e_ard_3-0-0_090077_2008-03-11_final
2008-05-30 09:59:49	ga_ls7e_ard_3-0-0_099069_2008-05-30_final
2008-06-09 10:39:36	ga_ls7e_ard_3-0-0_105076_2008-06-09_final
2008-08-22 09:33:31	ga_ls7e_ard_3-0-0_095067_2008-08-22_final
2008-10-23 11:27:39	ga_ls7e_ard_3-0-0_113075_2008-10-23_final
2009-02-10 09:59:47	ga_ls7e_ard_3-0-0_099069_2009-02-10_final
2009-02-12 09:49:50	ga_ls7e_ard_3-0-0_097075_2009-02-12_final
2009-02-14 09:34:18	ga_ls7e_ard_3-0-0_095067_2009-02-14_final
2009-03-03 10:21:19	ga_ls7e_ard_3-0-0_102076_2009-03-03_final
2009-06-13 09:48:36	ga_ls7e_ard_3-1-0_096086_2009-06-13_final
2009-09-01 09:40:46	ga_ls7e_ard_3-0-0_096067_2009-09-01_final
2009-11-22 09:34:07	ga_ls7e_ard_3-0-0_094080_2009-11-22_final
2010-01-16 11:16:49	ga_ls7e_ard_3-0-0_111072_2010-01-16_final
2011-05-01 10:43:25	ga_ls7e_ard_3-0-0_105076_2011-05-01_final
2011-09-18 11:10:59	ga_ls7e_ard_3-0-0_109084_2011-09-18_final
2011-09-21 11:40:41	ga_ls7e_ard_3-0-0_114081_2011-09-21_final
2011-10-22 09:19:49	ga_ls7e_ard_3-0-0_091084_2011-10-21_final
2012-06-20 10:44:15	ga_ls7e_ard_3-0-0_105076_2012-06-20_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2012-08-01 09:39:21	ga_ls7e_ard_3-0-0_095067_2012-08-01_final
2013-03-29 11:26:07	ga_ls7e_ard_3-0-0_111084_2013-03-29_final
2014-08-05 11:33:18	ga_ls7e_ard_3-0-0_113067_2014-08-05_final
2015-02-05 09:13:12	ga_ls7e_ard_3-0-0_089085_2015-02-04_final
2015-04-10 09:14:05	ga_ls7e_ard_3-0-0_089086_2015-04-09_final
2015-06-07 09:43:59	ga_ls7e_ard_3-0-0_095067_2015-06-07_final
2015-08-15 10:09:34	ga_ls7e_ard_3-0-0_098084_2015-08-15_final
2016-06-18 09:47:34	ga_ls7e_ard_3-0-0_094084_2016-06-18_final
2016-08-14 11:16:45	ga_ls7e_ard_3-0-0_109075_2016-08-14_final
2016-08-18 09:13:57	ga_ls7e_ard_3-0-0_089077_2016-08-17_final
2017-08-28 11:00:59	ga_ls7e_ard_3-0-0_106082_2017-08-28_final
2017-12-24 10:19:10	ga_ls7e_ard_3-0-0_100071_2017-12-24_final
2017-12-28 09:52:48	ga_ls7e_ard_3-0-0_096067_2017-12-28_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-04-09 10:56:26	ga_ls7e_ard_3-1-0_106075_2018-04-09_final
2018-08-31 10:53:50	ga_ls7e_ard_3-1-0_106075_2018-08-31_final
2019-01-21 10:04:32	ga_ls7e_ard_3-0-0_099069_2019-01-21_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-08-15 10:15:06	ga_ls7e_ard_3-0-0_101083_2019-08-15_final
2019-08-28 11:16:09	ga_ls7e_ard_3-1-0_112067_2019-08-28_final
2019-09-12 10:38:13	ga_ls7e_ard_3-1-0_105082_2019-09-12_final
2019-10-07 10:30:34	ga_ls7e_ard_3-1-0_104081_2019-10-07_final
2020-01-06 10:07:19	ga_ls7e_ard_3-1-0_101080_2020-01-06_final
2020-01-08 09:54:27	ga_ls7e_ard_3-1-0_099079_2020-01-08_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-06-27 09:21:34	ga_ls7e_ard_3-1-0_096067_2020-06-26_final
2020-12-24 08:53:41	ga_ls7e_ard_3-1-0_092089_2020-12-23_final
2021-03-21 10:25:07	ga_ls7e_ard_3-2-0_109071_2021-03-21_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-28 09:55:06	ga_ls7e_ard_3-2-0_105072_2021-05-28_final
2021-06-13 09:54:59	ga_ls7e_ard_3-2-0_105075_2021-06-13_final
2021-11-25 09:58:05	ga_ls7e_ard_3-2-1_108073_2021-11-25_final
2022-01-31 08:42:27	ga_ls7e_ard_3-2-1_097070_2022-01-30_final
2022-03-26 08:04:01	ga_ls7e_ard_3-2-1_091080_2022-03-25_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