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

93 results

Time (local)	Label
1999-10-16 10:33:24	ga_ls7e_ard_3-0-0_104068_1999-10-16_final
1999-10-17 11:16:38	ga_ls7e_ard_3-0-0_111068_1999-10-17_final
1999-12-31 11:00:44	ga_ls7e_ard_3-0-0_108075_1999-12-31_final
2000-04-02 10:30:20	ga_ls7e_ard_3-0-0_103077_2000-04-02_final
2001-05-01 11:03:48	ga_ls7e_ard_3-0-0_109074_2001-05-01_final
2002-01-06 09:57:50	ga_ls7e_ard_3-0-0_099067_2002-01-06_final
2002-02-06 09:23:06	ga_ls7e_ard_3-0-0_092088_2002-02-05_final
2002-02-24 10:44:54	ga_ls7e_ard_3-0-0_106076_2002-02-24_final
2003-02-10 10:02:35	ga_ls7e_ard_3-0-0_099079_2003-02-10_final
2003-08-02 09:32:38	ga_ls7e_ard_3-0-0_094082_2003-08-02_final
2003-11-24 09:17:44	ga_ls7e_ard_3-0-0_092075_2003-11-23_final
2004-04-24 10:06:02	ga_ls7e_ard_3-0-0_100071_2004-04-24_final
2004-05-11 09:16:28	ga_ls7e_ard_3-1-0_091086_2004-05-10_final
2004-06-30 10:38:25	ga_ls7e_ard_3-0-0_105075_2004-06-30_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-06-11 09:33:53	ga_ls7e_ard_3-0-0_095067_2005-06-11_final
2005-08-13 10:32:34	ga_ls7e_ard_3-0-0_104075_2005-08-13_final
2005-10-20 10:06:06	ga_ls7e_ard_3-0-0_100071_2005-10-20_final
2005-11-21 10:06:26	ga_ls7e_ard_3-0-0_100071_2005-11-21_final
2005-12-20 11:15:18	ga_ls7e_ard_3-0-0_111073_2005-12-20_final
2006-01-21 11:13:13	ga_ls7e_ard_3-0-0_111067_2006-01-21_final
2006-02-06 11:16:06	ga_ls7e_ard_3-0-0_111074_2006-02-06_final
2006-07-06 10:38:04	ga_ls7e_ard_3-0-0_105072_2006-07-06_final
2006-11-11 09:01:36	ga_ls7e_ard_3-0-0_089078_2006-11-10_final
2006-11-18 09:11:03	ga_ls7e_ard_3-0-0_090086_2006-11-17_final
2006-12-02 09:23:56	ga_ls7e_ard_3-0-0_092087_2006-12-01_final
2006-12-19 10:03:42	ga_ls7e_ard_3-0-0_099078_2006-12-19_final
2006-12-25 11:04:20	ga_ls7e_ard_3-0-0_109075_2006-12-25_final
2007-05-16 09:40:45	ga_ls7e_ard_3-0-0_095082_2007-05-16_final
2007-07-05 11:04:45	ga_ls7e_ard_3-0-0_109076_2007-07-05_final
2007-11-03 11:01:08	ga_ls7e_ard_3-0-0_108083_2007-11-03_final
2007-11-30 10:40:02	ga_ls7e_ard_3-0-0_105076_2007-11-30_final
2008-03-15 11:15:49	ga_ls7e_ard_3-0-0_111073_2008-03-15_final
2008-04-29 10:42:52	ga_ls7e_ard_3-0-0_106068_2008-04-29_final
2008-09-30 11:18:14	ga_ls7e_ard_3-0-0_112067_2008-09-30_final
2009-03-19 10:21:50	ga_ls7e_ard_3-0-0_102077_2009-03-19_final
2009-03-30 10:04:10	ga_ls7e_ard_3-0-0_099079_2009-03-30_final
2009-04-30 10:57:33	ga_ls7e_ard_3-0-0_108073_2009-04-30_final
2009-06-01 10:56:23	ga_ls7e_ard_3-0-0_108070_2009-06-01_final
2009-10-23 09:24:07	ga_ls7e_ard_3-0-0_092087_2009-10-22_final
2009-12-19 09:14:44	ga_ls7e_ard_3-0-0_091077_2009-12-18_final
2010-03-25 10:55:56	ga_ls7e_ard_3-0-0_107080_2010-03-25_final
2010-09-12 10:34:43	ga_ls7e_ard_3-0-0_104073_2010-09-12_final
2010-11-30 09:50:28	ga_ls7e_ard_3-0-0_097069_2010-11-30_final
2010-12-11 11:10:06	ga_ls7e_ard_3-0-0_110067_2010-12-11_final
2011-01-04 10:22:28	ga_ls7e_ard_3-0-0_102071_2011-01-04_final
2011-03-04 10:04:40	ga_ls7e_ard_3-0-0_099072_2011-03-04_final
2012-02-01 10:20:20	ga_ls7e_ard_3-0-0_101079_2012-02-01_final
2012-03-12 11:07:25	ga_ls7e_ard_3-0-0_109073_2012-03-12_final
2012-10-23 10:12:43	ga_ls7e_ard_3-0-0_100071_2012-10-23_final
2012-12-08 10:29:40	ga_ls7e_ard_3-0-0_102082_2012-12-08_final
2013-02-04 11:03:45	ga_ls7e_ard_3-0-0_108074_2013-02-04_final
2013-03-15 11:09:03	ga_ls7e_ard_3-0-0_109072_2013-03-15_final
2013-06-07 10:46:17	ga_ls7e_ard_3-0-0_105078_2013-06-07_final
2013-07-04 10:26:45	ga_ls7e_ard_3-0-0_102076_2013-07-04_final
2013-11-19 09:30:49	ga_ls7e_ard_3-0-0_092089_2013-11-19_final
2014-01-24 10:50:44	ga_ls7e_ard_3-0-0_106071_2014-01-24_final
2014-02-16 09:23:37	ga_ls7e_ard_3-0-0_091085_2014-02-15_final
2014-03-13 09:17:31	ga_ls7e_ard_3-1-0_090085_2014-03-12_final
2014-04-29 10:10:20	ga_ls7e_ard_3-0-0_099077_2014-04-29_final
2014-05-05 09:29:16	ga_ls7e_ard_3-0-0_093067_2014-05-04_final
2014-07-17 09:31:46	ga_ls7e_ard_3-0-0_092088_2014-07-17_final
2014-08-19 11:50:26	ga_ls7e_ard_3-0-0_115079_2014-08-19_final
2014-10-19 11:15:09	ga_ls7e_ard_3-0-0_110067_2014-10-19_final
2014-11-25 11:37:56	ga_ls7e_ard_3-0-0_113077_2014-11-25_final
2015-03-23 09:26:18	ga_ls7e_ard_3-1-0_091086_2015-03-22_final
2015-04-20 09:45:38	ga_ls7e_ard_3-0-0_095072_2015-04-20_final
2015-08-17 09:58:01	ga_ls7e_ard_3-1-0_096086_2015-08-17_final
2016-04-06 09:54:10	ga_ls7e_ard_3-0-0_095086_2016-04-06_final
2016-10-08 11:26:39	ga_ls7e_ard_3-0-0_110084_2016-10-08_final
2017-04-29 09:25:43	ga_ls7e_ard_3-0-0_091076_2017-04-28_final
2017-06-08 10:12:31	ga_ls7e_ard_3-0-0_099069_2017-06-08_final
2017-07-20 09:14:46	ga_ls7e_ard_3-0-0_089079_2017-07-19_final
2017-12-01 10:12:25	ga_ls7e_ard_3-0-0_099069_2017-12-01_final
2018-01-22 11:27:57	ga_ls7e_ard_3-0-0_111074_2018-01-22_final
2018-08-13 11:04:33	ga_ls7e_ard_3-0-0_108070_2018-08-13_final
2018-08-31 10:53:50	ga_ls7e_ard_3-1-0_106075_2018-08-31_final
2018-11-15 09:37:08	ga_ls7e_ard_3-0-0_094073_2018-11-15_final
2018-11-19 09:13:55	ga_ls7e_ard_3-0-0_090077_2018-11-18_final
2019-02-06 10:07:37	ga_ls7e_ard_3-0-0_099078_2019-02-06_final
2019-03-04 10:42:43	ga_ls7e_ard_3-1-0_105075_2019-03-04_final
2019-04-13 11:34:00	ga_ls7e_ard_3-0-0_113083_2019-04-13_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2020-02-03 10:25:51	ga_ls7e_ard_3-1-0_105068_2020-02-03_final
2020-02-27 09:36:46	ga_ls7e_ard_3-1-0_097072_2020-02-27_final
2020-03-10 10:00:26	ga_ls7e_ard_3-1-0_101071_2020-03-10_final
2020-03-18 10:51:26	ga_ls7e_ard_3-1-0_109076_2020-03-18_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-06-25 09:34:50	ga_ls7e_ard_3-1-0_098069_2020-06-25_final
2020-08-04 10:24:13	ga_ls7e_ard_3-1-0_106075_2020-08-04_final
2020-08-21 11:08:24	ga_ls7e_ard_3-1-0_113080_2020-08-21_final
2021-06-26 09:21:25	ga_ls7e_ard_3-2-0_100071_2021-06-25_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_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