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

85 results

Time (local)	Label
1999-07-25 10:03:09	ga_ls7e_ard_3-0-0_099070_1999-07-25_final
1999-10-12 10:58:58	ga_ls7e_ard_3-0-0_108070_1999-10-12_final
2001-06-10 10:15:06	ga_ls7e_ard_3-0-0_101077_2001-06-10_final
2001-11-07 11:13:42	ga_ls7e_ard_3-0-0_111072_2001-11-07_final
2002-03-31 11:15:16	ga_ls7e_ard_3-0-0_111075_2002-03-31_final
2002-08-25 10:07:44	ga_ls7e_ard_3-0-0_100078_2002-08-25_final
2002-11-05 10:54:13	ga_ls7e_ard_3-0-0_108071_2002-11-05_final
2002-11-12 11:05:35	ga_ls7e_ard_3-0-0_109084_2002-11-12_final
2003-05-16 10:57:03	ga_ls7e_ard_3-0-0_108076_2003-05-16_final
2003-09-26 09:34:36	ga_ls7e_ard_3-0-0_095072_2003-09-26_final
2004-04-27 09:02:27	ga_ls7e_ard_3-0-0_089082_2004-04-26_final
2004-06-13 09:56:23	ga_ls7e_ard_3-0-0_098078_2004-06-13_final
2004-06-20 11:41:49	ga_ls7e_ard_3-1-0_115079_2004-06-20_final
2004-10-04 09:01:28	ga_ls7e_ard_3-1-0_089081_2004-10-03_final
2005-01-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2005-01-02_final
2006-02-08 11:06:09	ga_ls7e_ard_3-0-0_109080_2006-02-08_final
2006-05-18 09:57:48	ga_ls7e_ard_3-0-0_098079_2006-05-18_final
2006-07-04 10:50:03	ga_ls7e_ard_3-0-0_107071_2006-07-04_final
2006-10-20 11:16:26	ga_ls7e_ard_3-0-0_111076_2006-10-20_final
2006-11-17 10:03:28	ga_ls7e_ard_3-0-0_099078_2006-11-17_final
2007-01-10 11:02:21	ga_ls7e_ard_3-0-0_109070_2007-01-10_final
2007-04-21 11:22:46	ga_ls7e_ard_3-0-0_112074_2007-04-21_final
2007-08-30 10:14:37	ga_ls7e_ard_3-1-0_101075_2007-08-30_final
2007-10-30 11:25:25	ga_ls7e_ard_3-0-0_112082_2007-10-30_final
2008-01-20 11:13:27	ga_ls7e_ard_3-0-0_110082_2008-01-20_final
2008-06-09 09:04:42	ga_ls7e_ard_3-0-0_089086_2008-06-08_final
2008-07-09 09:16:45	ga_ls7e_ard_3-1-0_091086_2008-07-08_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2009-01-30 10:18:38	ga_ls7e_ard_3-0-0_102070_2009-01-30_final
2009-07-06 09:48:20	ga_ls7e_ard_3-0-0_097070_2009-07-06_final
2009-08-15 10:37:58	ga_ls7e_ard_3-0-0_105071_2009-08-15_final
2009-10-14 11:04:14	ga_ls7e_ard_3-0-0_109075_2009-10-14_final
2009-12-17 11:05:57	ga_ls7e_ard_3-0-0_109077_2009-12-17_final
2010-01-07 09:43:34	ga_ls7e_ard_3-0-0_096071_2010-01-07_final
2010-06-22 09:13:15	ga_ls7e_ard_3-0-0_090086_2010-06-21_final
2010-08-26 09:56:13	ga_ls7e_ard_3-0-0_097085_2010-08-26_final
2010-11-22 09:07:19	ga_ls7e_ard_3-0-0_089085_2010-11-21_final
2011-05-17 10:42:34	ga_ls7e_ard_3-0-0_105074_2011-05-17_final
2011-07-09 09:22:35	ga_ls7e_ard_3-0-0_092075_2011-07-08_final
2011-07-28 11:29:08	ga_ls7e_ard_3-0-0_113067_2011-07-28_final
2011-09-27 11:00:23	ga_ls7e_ard_3-0-0_108073_2011-09-27_final
2012-04-30 10:14:07	ga_ls7e_ard_3-0-0_100078_2012-04-30_final
2013-03-05 10:34:47	ga_ls7e_ard_3-0-0_103079_2013-03-05_final
2013-03-20 09:54:16	ga_ls7e_ard_3-1-0_096086_2013-03-20_final
2013-05-19 10:15:34	ga_ls7e_ard_3-0-0_100078_2013-05-19_final
2013-06-05 09:23:21	ga_ls7e_ard_3-0-0_091087_2013-06-04_final
2013-06-22 11:41:27	ga_ls7e_ard_3-0-0_114077_2013-06-22_final
2014-01-17 10:43:13	ga_ls7e_ard_3-0-0_105068_2014-01-17_final
2014-04-23 10:43:47	ga_ls7e_ard_3-0-0_105068_2014-04-23_final
2014-05-14 09:31:09	ga_ls7e_ard_3-0-0_092087_2014-05-14_final
2014-11-19 10:32:29	ga_ls7e_ard_3-0-0_103068_2014-11-19_final
2015-02-09 10:26:10	ga_ls7e_ard_3-0-0_101082_2015-02-09_final
2015-02-26 09:32:41	ga_ls7e_ard_3-0-0_092087_2015-02-26_final
2015-07-05 10:10:00	ga_ls7e_ard_3-0-0_099070_2015-07-05_final
2015-07-29 10:59:55	ga_ls7e_ard_3-0-0_107071_2015-07-29_final
2015-09-06 11:05:49	ga_ls7e_ard_3-0-0_108070_2015-09-06_final
2016-01-03 11:13:34	ga_ls7e_ard_3-0-0_109070_2016-01-03_final
2016-02-28 10:29:00	ga_ls7e_ard_3-0-0_101081_2016-02-28_final
2016-03-11 09:14:11	ga_ls7e_ard_3-0-0_089079_2016-03-10_final
2016-04-24 09:42:22	ga_ls7e_ard_3-1-0_093087_2016-04-24_final
2016-08-25 09:22:57	ga_ls7e_ard_3-0-0_090084_2016-08-24_final
2016-09-17 11:07:40	ga_ls7e_ard_3-0-0_107083_2016-09-17_final
2016-09-30 10:31:37	ga_ls7e_ard_3-0-0_102070_2016-09-30_final
2017-11-23 09:27:49	ga_ls7e_ard_3-0-0_091081_2017-11-22_final
2018-01-19 09:19:24	ga_ls7e_ard_3-0-0_090077_2018-01-18_final
2018-06-19 11:04:59	ga_ls7e_ard_3-0-0_107084_2018-06-19_final
2018-07-03 11:16:40	ga_ls7e_ard_3-0-0_109083_2018-07-03_final
2018-07-19 11:12:47	ga_ls7e_ard_3-0-0_109074_2018-07-19_final
2018-09-10 09:56:12	ga_ls7e_ard_3-1-0_096086_2018-09-10_final
2019-01-04 11:03:05	ga_ls7e_ard_3-0-0_108075_2019-01-04_final
2019-02-15 10:01:10	ga_ls7e_ard_3-0-0_098078_2019-02-15_final
2019-06-15 10:45:12	ga_ls7e_ard_3-1-0_106075_2019-06-15_final
2019-07-14 10:16:24	ga_ls7e_ard_3-0-0_101083_2019-07-14_final
2019-08-11 10:37:11	ga_ls7e_ard_3-0-0_105076_2019-08-11_final
2019-08-26 09:50:54	ga_ls7e_ard_3-1-0_098070_2019-08-26_final
2019-10-03 10:51:04	ga_ls7e_ard_3-1-0_108070_2019-10-03_final
2020-04-23 10:23:51	ga_ls7e_ard_3-1-0_105074_2020-04-23_final
2020-09-22 11:07:29	ga_ls7e_ard_3-1-0_113083_2020-09-22_final
2020-10-02 09:59:28	ga_ls7e_ard_3-1-0_103069_2020-10-02_final
2020-10-22 09:37:03	ga_ls7e_ard_3-1-0_099078_2020-10-22_final
2021-02-03 08:44:12	ga_ls7e_ard_3-2-0_091088_2021-02-02_final
2021-05-17 08:42:05	ga_ls7e_ard_3-2-0_092088_2021-05-16_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2022-01-22 08:49:06	ga_ls7e_ard_3-2-1_098069_2022-01-21_final
2022-04-04 09:35:51	ga_ls7e_ard_3-2-1_106080_2022-04-04_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