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
1999-07-22 09:39:00	ga_ls7e_ard_3-0-0_094087_1999-07-22_final
2000-01-09 09:20:30	ga_ls7e_ard_3-0-0_091087_2000-01-08_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-06-08 09:26:05	ga_ls7e_ard_3-0-0_092088_2000-06-07_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2001-06-07 09:42:13	ga_ls7e_ard_3-0-0_096072_2001-06-07_final
2001-06-24 10:28:50	ga_ls7e_ard_3-0-0_103081_2001-06-24_final
2003-01-05 10:27:45	ga_ls7e_ard_3-0-0_103081_2003-01-05_final
2003-02-15 10:18:21	ga_ls7e_ard_3-0-0_102072_2003-02-15_final
2003-04-23 09:17:35	ga_ls7e_ard_3-0-0_091090_2003-04-22_final
2003-08-11 11:04:07	ga_ls7e_ard_3-0-0_109079_2003-08-11_final
2003-09-23 10:41:47	ga_ls7e_ard_3-0-0_106070_2003-09-23_final
2003-11-25 09:59:24	ga_ls7e_ard_3-0-0_099071_2003-11-25_final
2004-02-29 10:02:39	ga_ls7e_ard_3-0-0_099078_2004-02-29_final
2004-09-08 10:01:48	ga_ls7e_ard_3-0-0_099077_2004-09-08_final
2004-12-02 10:22:23	ga_ls7e_ard_3-0-0_102081_2004-12-02_final
2005-02-17 11:30:51	ga_ls7e_ard_3-0-0_113081_2005-02-17_final
2005-02-17 11:31:15	ga_ls7e_ard_3-0-0_113082_2005-02-17_final
2005-04-13 11:37:00	ga_ls7e_ard_3-0-0_114081_2005-04-13_final
2005-08-09 09:22:25	ga_ls7e_ard_3-0-0_092085_2005-08-08_final
2005-09-27 10:02:35	ga_ls7e_ard_3-0-0_099078_2005-09-27_final
2005-11-15 09:07:23	ga_ls7e_ard_3-0-0_090078_2005-11-14_final
2006-01-05 11:13:05	ga_ls7e_ard_3-0-0_111067_2006-01-05_final
2006-11-15 10:14:37	ga_ls7e_ard_3-1-0_101075_2006-11-15_final
2007-06-04 10:09:10	ga_ls7e_ard_3-0-0_100076_2007-06-04_final
2007-12-09 08:56:37	ga_ls7e_ard_3-0-0_088080_2007-12-08_final
2007-12-18 10:29:21	ga_ls7e_ard_3-0-0_103080_2007-12-18_final
2007-12-23 09:13:01	ga_ls7e_ard_3-0-0_090090_2007-12-22_final
2008-01-22 09:19:48	ga_ls7e_ard_3-0-0_092076_2008-01-21_final
2008-02-17 10:00:24	ga_ls7e_ard_3-0-0_098085_2008-02-17_final
2008-04-22 10:42:18	ga_ls7e_ard_3-0-0_105082_2008-04-22_final
2008-05-19 10:23:13	ga_ls7e_ard_3-0-0_102081_2008-05-19_final
2008-09-08 10:22:38	ga_ls7e_ard_3-0-0_102082_2008-09-08_final
2008-09-17 10:11:59	ga_ls7e_ard_3-0-0_101071_2008-09-17_final
2008-10-13 09:14:18	ga_ls7e_ard_3-0-0_091082_2008-10-12_final
2008-12-10 09:47:00	ga_ls7e_ard_3-0-0_097069_2008-12-10_final
2009-04-05 09:25:32	ga_ls7e_ard_3-0-0_093075_2009-04-04_final
2009-05-25 09:15:19	ga_ls7e_ard_3-0-0_091080_2009-05-24_final
2009-07-31 09:42:02	ga_ls7e_ard_3-0-0_096070_2009-07-31_final
2009-08-31 10:39:58	ga_ls7e_ard_3-0-0_105076_2009-08-31_final
2009-12-18 10:08:21	ga_ls7e_ard_3-0-0_100072_2009-12-18_final
2009-12-27 10:07:07	ga_ls7e_ard_3-0-0_099084_2009-12-27_final
2009-12-29 11:26:54	ga_ls7e_ard_3-0-0_113067_2009-12-29_final
2010-07-02 09:47:34	ga_ls7e_ard_3-0-0_096079_2010-07-02_final
2011-01-12 09:36:41	ga_ls7e_ard_3-0-0_094080_2011-01-12_final
2011-02-21 10:22:44	ga_ls7e_ard_3-0-0_102071_2011-02-21_final
2011-03-10 11:07:41	ga_ls7e_ard_3-0-0_109075_2011-03-10_final
2011-03-19 11:01:54	ga_ls7e_ard_3-0-0_108076_2011-03-19_final
2011-07-28 11:29:08	ga_ls7e_ard_3-0-0_113067_2011-07-28_final
2011-12-13 10:29:37	ga_ls7e_ard_3-0-0_103072_2011-12-13_final
2011-12-17 10:08:09	ga_ls7e_ard_3-0-0_099080_2011-12-17_final
2013-01-03 09:30:25	ga_ls7e_ard_3-1-0_092088_2013-01-03_final
2013-01-29 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-01-29_final
2013-06-01 11:21:26	ga_ls7e_ard_3-0-0_111073_2013-06-01_final
2013-07-06 10:17:33	ga_ls7e_ard_3-0-0_100084_2013-07-06_final
2013-10-19 10:10:21	ga_ls7e_ard_3-0-0_099080_2013-10-19_final
2014-01-09 09:55:36	ga_ls7e_ard_3-0-0_097073_2014-01-09_final
2014-01-20 09:37:42	ga_ls7e_ard_3-0-0_094074_2014-01-20_final
2015-05-03 09:17:37	ga_ls7e_ard_3-0-0_090079_2015-05-02_final
2015-06-07 11:25:39	ga_ls7e_ard_3-0-0_111074_2015-06-07_final
2015-08-10 11:25:31	ga_ls7e_ard_3-0-0_111073_2015-08-10_final
2016-02-16 10:00:38	ga_ls7e_ard_3-0-0_097072_2016-02-16_final
2016-06-19 10:30:02	ga_ls7e_ard_3-0-0_101082_2016-06-19_final
2016-09-01 11:02:27	ga_ls7e_ard_3-0-0_107070_2016-09-01_final
2017-01-31 10:12:44	ga_ls7e_ard_3-0-0_099071_2017-01-31_final
2017-02-11 09:54:29	ga_ls7e_ard_3-0-0_096072_2017-02-11_final
2017-10-06 11:04:46	ga_ls7e_ard_3-0-0_107076_2017-10-06_final
2017-12-24 10:19:10	ga_ls7e_ard_3-0-0_100071_2017-12-24_final
2017-12-25 11:02:01	ga_ls7e_ard_3-0-0_107070_2017-12-25_final
2018-01-16 10:29:02	ga_ls7e_ard_3-0-0_101081_2018-01-16_final
2018-04-08 10:13:59	ga_ls7e_ard_3-0-0_099077_2018-04-08_final
2018-07-04 10:21:02	ga_ls7e_ard_3-0-0_100083_2018-07-04_final
2018-12-11 10:13:09	ga_ls7e_ard_3-0-0_100072_2018-12-11_final
2019-04-24 11:12:15	ga_ls7e_ard_3-0-0_110076_2019-04-24_final
2019-09-06 11:12:22	ga_ls7e_ard_3-1-0_111074_2019-09-06_final
2019-09-18 11:36:33	ga_ls7e_ard_3-1-0_115074_2019-09-18_final
2019-11-15 10:33:02	ga_ls7e_ard_3-1-0_105076_2019-11-15_final
2019-11-25 09:33:57	ga_ls7e_ard_3-1-0_095084_2019-11-25_final
2020-02-08 10:50:31	ga_ls7e_ard_3-1-0_108084_2020-02-08_final
2020-02-19 10:28:13	ga_ls7e_ard_3-1-0_105076_2020-02-19_final
2020-03-05 09:41:46	ga_ls7e_ard_3-1-0_098070_2020-03-05_final
2020-07-19 10:28:25	ga_ls7e_ard_3-1-0_106083_2020-07-19_final
2020-08-29 10:16:50	ga_ls7e_ard_3-1-0_105076_2020-08-29_final
2020-11-26 10:05:09	ga_ls7e_ard_3-1-0_104077_2020-11-26_final
2021-06-03 09:21:54	ga_ls7e_ard_3-2-0_099083_2021-06-02_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-11-16 10:05:32	ga_ls7e_ard_3-2-1_109074_2021-11-16_final
2022-03-29 10:11:07	ga_ls7e_ard_3-2-1_112074_2022-03-29_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