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

88 results

Time (local)	Label
1999-08-11 10:47:41	ga_ls7e_ard_3-0-0_106073_1999-08-11_final
1999-12-09 10:03:03	ga_ls7e_ard_3-0-0_098085_1999-12-09_final
2000-01-05 11:21:18	ga_ls7e_ard_3-0-0_111080_2000-01-05_final
2000-02-19 10:46:15	ga_ls7e_ard_3-0-0_106070_2000-02-19_final
2000-05-18 09:06:12	ga_ls7e_ard_3-0-0_089084_2000-05-17_final
2000-09-20 10:07:22	ga_ls7e_ard_3-0-0_100071_2000-09-20_final
2000-11-14 10:15:49	ga_ls7e_ard_3-1-0_101077_2000-11-14_final
2001-01-16 11:10:23	ga_ls7e_ard_3-0-0_110074_2001-01-16_final
2001-02-13 09:59:46	ga_ls7e_ard_3-0-0_098083_2001-02-13_final
2001-03-01 09:54:52	ga_ls7e_ard_3-0-0_098071_2001-03-01_final
2001-07-16 11:25:00	ga_ls7e_ard_3-1-0_113067_2001-07-16_final
2001-10-18 09:59:00	ga_ls7e_ard_3-0-0_099071_2001-10-18_final
2002-06-20 10:19:21	ga_ls7e_ard_3-0-0_102075_2002-06-20_final
2002-12-17 11:30:05	ga_ls7e_ard_3-0-0_114067_2002-12-17_final
2003-05-21 11:18:21	ga_ls7e_ard_3-0-0_111083_2003-05-21_final
2003-10-07 10:55:41	ga_ls7e_ard_3-0-0_108074_2003-10-07_final
2003-10-23 09:21:22	ga_ls7e_ard_3-0-0_092085_2003-10-22_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2005-02-10 09:42:09	ga_ls7e_ard_3-0-0_096072_2005-02-10_final
2005-04-30 10:38:59	ga_ls7e_ard_3-0-0_105075_2005-04-30_final
2005-09-10 10:57:03	ga_ls7e_ard_3-1-0_108075_2005-09-10_final
2005-11-05 10:11:05	ga_ls7e_ard_3-0-0_100083_2005-11-05_final
2006-05-18 09:57:00	ga_ls7e_ard_3-0-0_098077_2006-05-18_final
2006-05-24 10:56:49	ga_ls7e_ard_3-0-0_108072_2006-05-24_final
2006-06-19 11:36:36	ga_ls7e_ard_3-0-0_114079_2006-06-19_final
2006-06-22 10:29:24	ga_ls7e_ard_3-0-0_103081_2006-06-22_final
2006-08-13 10:03:12	ga_ls7e_ard_3-0-0_099078_2006-08-13_final
2006-10-15 09:23:19	ga_ls7e_ard_3-0-0_092087_2006-10-14_final
2006-12-07 11:16:37	ga_ls7e_ard_3-0-0_111075_2006-12-07_final
2007-09-27 10:39:34	ga_ls7e_ard_3-0-0_105076_2007-09-27_final
2008-01-07 11:41:34	ga_ls7e_ard_3-0-0_115075_2008-01-07_final
2008-01-09 11:26:01	ga_ls7e_ard_3-0-0_113067_2008-01-09_final
2008-01-14 10:09:39	ga_ls7e_ard_3-0-0_100077_2008-01-14_final
2008-02-14 11:04:48	ga_ls7e_ard_3-0-0_109076_2008-02-14_final
2008-07-10 09:58:24	ga_ls7e_ard_3-0-0_098082_2008-07-10_final
2009-05-27 09:05:21	ga_ls7e_ard_3-0-0_089086_2009-05-26_final
2009-07-24 11:16:22	ga_ls7e_ard_3-0-0_111074_2009-07-24_final
2009-10-10 11:28:29	ga_ls7e_ard_3-0-0_113074_2009-10-10_final
2010-02-22 09:56:31	ga_ls7e_ard_3-0-0_098071_2010-02-22_final
2010-05-14 10:41:08	ga_ls7e_ard_3-0-0_105074_2010-05-14_final
2010-06-09 09:44:08	ga_ls7e_ard_3-0-0_095086_2010-06-09_final
2010-11-28 10:04:00	ga_ls7e_ard_3-0-0_099072_2010-11-28_final
2011-09-09 09:38:43	ga_ls7e_ard_3-0-0_094085_2011-09-09_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2012-12-21 09:53:42	ga_ls7e_ard_3-0-0_097069_2012-12-21_final
2012-12-31 10:30:25	ga_ls7e_ard_3-0-0_103068_2012-12-31_final
2013-03-02 11:37:59	ga_ls7e_ard_3-0-0_114067_2013-03-02_final
2013-05-22 09:10:45	ga_ls7e_ard_3-0-0_089086_2013-05-21_final
2013-05-27 11:02:57	ga_ls7e_ard_3-0-0_108073_2013-05-27_final
2013-11-30 09:11:13	ga_ls7e_ard_3-0-0_089086_2013-11-29_final
2014-01-23 11:47:32	ga_ls7e_ard_3-0-0_115074_2014-01-23_final
2014-02-21 11:16:36	ga_ls7e_ard_3-0-0_110074_2014-02-21_final
2014-03-13 10:50:49	ga_ls7e_ard_3-0-0_106071_2014-03-13_final
2014-05-26 09:54:20	ga_ls7e_ard_3-0-0_096083_2014-05-26_final
2014-06-01 10:50:11	ga_ls7e_ard_3-0-0_106068_2014-06-01_final
2014-06-23 10:16:20	ga_ls7e_ard_3-0-0_100076_2014-06-23_final
2014-09-25 10:31:01	ga_ls7e_ard_3-0-0_102081_2014-09-25_final
2015-02-01 11:13:12	ga_ls7e_ard_3-0-0_109076_2015-02-01_final
2015-05-09 10:21:28	ga_ls7e_ard_3-0-0_100084_2015-05-09_final
2015-06-16 11:19:55	ga_ls7e_ard_3-0-0_110075_2015-06-16_final
2015-06-26 10:19:42	ga_ls7e_ard_3-0-0_100079_2015-06-26_final
2015-10-10 10:52:53	ga_ls7e_ard_3-0-0_106068_2015-10-10_final
2016-04-14 10:42:05	ga_ls7e_ard_3-0-0_103082_2016-04-14_final
2016-06-03 10:25:36	ga_ls7e_ard_3-0-0_101071_2016-06-03_final
2016-06-15 10:51:33	ga_ls7e_ard_3-0-0_105074_2016-06-15_final
2017-07-05 11:38:31	ga_ls7e_ard_3-0-0_112083_2017-07-05_final
2017-07-26 10:18:10	ga_ls7e_ard_3-0-0_099083_2017-07-26_final
2017-10-10 10:38:28	ga_ls7e_ard_3-0-0_103072_2017-10-10_final
2017-12-24 10:21:34	ga_ls7e_ard_3-0-0_100077_2017-12-24_final
2018-07-25 10:38:24	ga_ls7e_ard_3-0-0_103081_2018-07-25_final
2018-12-27 10:12:17	ga_ls7e_ard_3-0-0_100071_2018-12-27_final
2019-01-27 09:32:50	ga_ls7e_ard_3-0-0_093083_2019-01-27_final
2019-02-05 11:02:04	ga_ls7e_ard_3-1-0_108075_2019-02-05_final
2019-06-15 10:45:12	ga_ls7e_ard_3-1-0_106075_2019-06-15_final
2019-08-14 11:07:34	ga_ls7e_ard_3-1-0_110075_2019-08-14_final
2019-09-30 10:24:40	ga_ls7e_ard_3-1-0_103081_2019-09-30_final
2019-12-11 11:07:16	ga_ls7e_ard_3-1-0_111072_2019-12-11_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2020-02-29 09:22:18	ga_ls7e_ard_3-1-0_095067_2020-02-28_final
2020-06-14 09:57:37	ga_ls7e_ard_3-1-0_101078_2020-06-14_final
2020-08-13 10:17:52	ga_ls7e_ard_3-1-0_105076_2020-08-13_final
2020-12-22 10:39:05	ga_ls7e_ard_3-1-0_110074_2020-12-22_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-10 08:49:28	ga_ls7e_ard_3-2-0_092087_2021-02-09_final
2021-03-15 09:26:35	ga_ls7e_ard_3-2-0_099078_2021-03-14_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-04-24 10:09:32	ga_ls7e_ard_3-2-0_107070_2021-04-24_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years