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
2000-02-18 10:02:13	ga_ls7e_ard_3-0-0_099068_2000-02-18_final
2000-03-14 09:57:06	ga_ls7e_ard_3-0-0_098071_2000-03-14_final
2000-08-05 09:58:28	ga_ls7e_ard_3-0-0_098078_2000-08-05_final
2000-09-20 10:09:21	ga_ls7e_ard_3-0-0_100076_2000-09-20_final
2001-09-17 10:41:16	ga_ls7e_ard_3-0-0_106068_2001-09-17_final
2002-02-10 10:29:20	ga_ls7e_ard_3-0-0_104068_2002-02-10_final
2002-03-18 10:10:30	ga_ls7e_ard_3-0-0_100083_2002-03-18_final
2002-08-20 11:29:46	ga_ls7e_ard_3-0-0_113082_2002-08-20_final
2002-09-19 09:59:17	ga_ls7e_ard_3-0-0_099073_2002-09-19_final
2002-12-02 10:37:39	ga_ls7e_ard_3-0-0_105075_2002-12-02_final
2003-01-23 10:13:58	ga_ls7e_ard_3-0-0_101077_2003-01-23_final
2003-04-23 10:53:41	ga_ls7e_ard_3-0-0_107083_2003-04-23_final
2003-09-22 09:59:20	ga_ls7e_ard_3-0-0_099072_2003-09-22_final
2003-10-14 11:02:40	ga_ls7e_ard_3-0-0_109076_2003-10-14_final
2004-01-05 11:33:33	ga_ls7e_ard_3-0-0_114074_2004-01-05_final
2004-03-07 10:06:06	ga_ls7e_ard_3-0-0_100071_2004-03-07_final
2004-05-04 09:09:52	ga_ls7e_ard_3-1-0_090085_2004-05-03_final
2004-05-04 10:43:58	ga_ls7e_ard_3-0-0_106073_2004-05-04_final
2004-11-03 09:15:21	ga_ls7e_ard_3-0-0_091084_2004-11-02_final
2004-12-04 10:06:02	ga_ls7e_ard_3-0-0_100071_2004-12-04_final
2005-04-01 11:10:45	ga_ls7e_ard_3-0-0_110077_2005-04-01_final
2005-06-25 09:47:22	ga_ls7e_ard_3-0-0_097070_2005-06-25_final
2005-07-05 10:26:27	ga_ls7e_ard_3-0-0_103075_2005-07-05_final
2005-07-19 09:02:44	ga_ls7e_ard_3-0-0_089082_2005-07-18_final
2005-10-14 10:41:53	ga_ls7e_ard_3-0-0_106068_2005-10-14_final
2006-03-15 09:59:50	ga_ls7e_ard_3-0-0_098084_2006-03-15_final
2006-09-16 11:30:46	ga_ls7e_ard_3-0-0_113081_2006-09-16_final
2007-07-07 10:50:47	ga_ls7e_ard_3-0-0_107072_2007-07-07_final
2007-07-29 10:15:37	ga_ls7e_ard_3-0-0_101077_2007-07-29_final
2008-02-04 10:26:10	ga_ls7e_ard_3-0-0_103072_2008-02-04_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-06-04 10:21:30	ga_ls7e_ard_3-0-0_102077_2008-06-04_final
2008-09-02 09:22:28	ga_ls7e_ard_3-0-0_092086_2008-09-01_final
2008-12-02 09:02:40	ga_ls7e_ard_3-0-0_089082_2008-12-01_final
2008-12-02 10:37:34	ga_ls7e_ard_3-0-0_105072_2008-12-02_final
2009-01-02 09:53:46	ga_ls7e_ard_3-0-0_098070_2009-01-02_final
2009-03-07 09:57:26	ga_ls7e_ard_3-0-0_098078_2009-03-07_final
2009-03-31 10:44:15	ga_ls7e_ard_3-0-0_106071_2009-03-31_final
2009-09-27 10:18:12	ga_ls7e_ard_3-0-0_102068_2009-09-27_final
2010-04-04 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-04-04_final
2010-08-08 10:01:44	ga_ls7e_ard_3-0-0_099068_2010-08-08_final
2010-11-30 11:32:56	ga_ls7e_ard_3-0-0_113078_2010-11-30_final
2010-12-25 09:44:53	ga_ls7e_ard_3-0-0_096070_2010-12-25_final
2011-06-08 10:07:07	ga_ls7e_ard_3-0-0_099078_2011-06-08_final
2011-11-01 11:34:12	ga_ls7e_ard_3-0-0_113080_2011-11-01_final
2012-03-06 10:04:01	ga_ls7e_ard_3-0-0_099069_2012-03-06_final
2012-03-18 10:28:46	ga_ls7e_ard_3-0-0_103069_2012-03-18_final
2012-07-28 10:08:49	ga_ls7e_ard_3-0-0_099079_2012-07-28_final
2012-09-17 09:02:11	ga_ls7e_ard_3-0-0_088081_2012-09-16_final
2012-11-30 11:19:05	ga_ls7e_ard_3-0-0_110082_2012-11-30_final
2013-02-07 09:54:11	ga_ls7e_ard_3-0-0_097070_2013-02-07_final
2013-04-20 10:45:21	ga_ls7e_ard_3-0-0_105075_2013-04-20_final
2013-07-01 09:59:05	ga_ls7e_ard_3-0-0_097084_2013-07-01_final
2013-09-17 10:05:59	ga_ls7e_ard_3-0-0_099070_2013-09-17_final
2013-12-16 09:10:02	ga_ls7e_ard_3-0-0_089083_2013-12-15_final
2014-01-28 10:26:53	ga_ls7e_ard_3-0-0_102073_2014-01-28_final
2014-04-29 11:48:49	ga_ls7e_ard_3-0-0_115076_2014-04-29_final
2014-09-01 11:18:20	ga_ls7e_ard_3-0-0_110076_2014-09-01_final
2015-04-16 10:09:57	ga_ls7e_ard_3-0-0_099071_2015-04-16_final
2015-04-29 11:19:12	ga_ls7e_ard_3-0-0_110074_2015-04-29_final
2015-06-28 10:06:58	ga_ls7e_ard_3-0-0_098078_2015-06-28_final
2015-08-10 11:29:06	ga_ls7e_ard_3-1-0_111082_2015-08-10_final
2016-02-18 11:27:10	ga_ls7e_ard_3-0-0_111072_2016-02-18_final
2016-03-05 11:27:17	ga_ls7e_ard_3-0-0_111072_2016-03-05_final
2016-05-23 10:42:52	ga_ls7e_ard_3-0-0_104068_2016-05-23_final
2016-08-05 11:22:31	ga_ls7e_ard_3-0-0_110074_2016-08-05_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-08-15 09:47:01	ga_ls7e_ard_3-0-0_095067_2017-08-15_final
2018-01-13 09:59:22	ga_ls7e_ard_3-0-0_096084_2018-01-13_final
2018-04-08 10:10:47	ga_ls7e_ard_3-0-0_099069_2018-04-08_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2019-03-04 09:06:13	ga_ls7e_ard_3-1-0_089081_2019-03-03_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-07-01 10:43:24	ga_ls7e_ard_3-0-0_106072_2019-07-01_final
2019-12-01 10:29:29	ga_ls7e_ard_3-1-0_105069_2019-12-01_final
2020-03-21 09:41:17	ga_ls7e_ard_3-1-0_098071_2020-03-21_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2020-07-28 10:18:05	ga_ls7e_ard_3-1-0_105074_2020-07-28_final
2020-09-12 08:49:48	ga_ls7e_ard_3-1-0_091077_2020-09-11_final
2020-10-10 09:16:18	ga_ls7e_ard_3-1-0_095086_2020-10-09_final
2020-12-12 10:00:22	ga_ls7e_ard_3-1-0_104068_2020-12-12_final
2021-02-13 09:19:20	ga_ls7e_ard_3-2-0_097085_2021-02-12_final
2021-05-04 09:06:30	ga_ls7e_ard_3-2-0_097069_2021-05-03_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2022-01-22 08:49:06	ga_ls7e_ard_3-2-1_098069_2022-01-21_final
2022-02-02 08:33:04	ga_ls7e_ard_3-2-1_095078_2022-02-01_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